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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Sensors</journal-id>
<journal-title>Sensors</journal-title>
<issn pub-type="epub">1424-8220</issn>
<publisher>
<publisher-name>Molecular Diversity Preservation International (MDPI)</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3390/s110100180</article-id>
<article-id pub-id-type="publisher-id">sensors-11-00180</article-id>
<article-categories>
<subj-group>
<subject>Review</subject></subj-group></article-categories>
<title-group>
<article-title><italic>In Vivo</italic> Bioluminescent Imaging (BLI): Noninvasive Visualization and Interrogation of Biological Processes in Living Animals</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Close</surname><given-names>Dan M.</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname><given-names>Tingting</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Sayler</surname><given-names>Gary S.</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Ripp</surname><given-names>Steven</given-names></name><xref ref-type="corresp" rid="c1-sensors-11-00180">*</xref></contrib>
<aff id="af1-sensors-11-00180">The Center for Environmental Biotechnology, 676 Dabney Hall, The University of Tennessee, Knoxville, TN 37996, USA; E-Mails: <email>dclose@utk.edu</email> (D.M.C.); <email>txu2@utk.edu</email> (T.X.); <email>sayler@utk.edu</email> (G.S.S.)</aff></contrib-group>
<author-notes>
<corresp id="c1-sensors-11-00180">
<label>*</label>Author to whom correspondence should be addressed; E-Mail: <email>saripp@utk.edu</email>; Tel.: +1-865-974-9605; Fax: +1-865-974-8086.</corresp></author-notes>
<pub-date pub-type="collection">
<year>2011</year></pub-date>
<pub-date pub-type="epub">
<day>28</day>
<month>12</month>
<year>2010</year></pub-date>
<volume>11</volume>
<issue>1</issue>
<fpage>180</fpage>
<lpage>206</lpage>
<history>
<date date-type="received">
<day>14</day>
<month>11</month>
<year>2010</year></date>
<date date-type="rev-recd">
<day>6</day>
<month>12</month>
<year>2010</year></date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2010</year></date></history>
<permissions>
<copyright-statement>© 2011 by the authors; licensee MDPI, Basel, Switzerland.</copyright-statement>
<copyright-year>2011</copyright-year>
<license>
<p>This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).</p></license></permissions>
<abstract>
<p><italic>In vivo</italic> bioluminescent imaging (BLI) is increasingly being utilized as a method for modern biological research. This process, which involves the noninvasive interrogation of living animals using light emitted from luciferase-expressing bioreporter cells, has been applied to study a wide range of biomolecular functions such as gene function, drug discovery and development, cellular trafficking, protein-protein interactions, and especially tumorigenesis, cancer treatment, and disease progression. This article will review the various bioreporter/biosensor integrations of BLI and discuss how BLI is being applied towards a new visual understanding of biological processes within the living organism.</p></abstract>
<kwd-group>
<kwd>bacterial luciferase</kwd>
<kwd>bioluminescent imaging</kwd>
<kwd>BLI</kwd>
<kwd>firefly luciferase</kwd>
<kwd>Lux</kwd>
<kwd>Luc</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Whole animal bioluminescent imaging (BLI) is progressively becoming more widely applied by investigators from diverse backgrounds because of its low cost, high throughput, and relative ease of operation in visualizing a wide variety of <italic>in vivo</italic> cellular events [<xref ref-type="bibr" rid="b1-sensors-11-00180">1</xref>]. The ability to visualize cellular processes or other biological interactions without the requirement for animal subject sacrifice allows for repeated imaging and releases investigators from the constraints of considering their process of interest on a “frame-by-frame” basis using labeled slides. In addition, the ability to continually monitor a single individual reduces the amount of inter-animal variation and can reduce error, leading to higher resolution and less data loss. With continuing advances in the hardware and software required for performing these experiments, it is also becoming easier for researchers with little background in molecular imaging to obtain useful and detailed publication-ready images.</p>
<p>The mainstays of BLI are the light generating luciferase enzymes such as firefly luciferase, Renilla luciferase, Gaussia luciferase, Metridia luciferase, Vargula luciferase, or bacterial luciferase [<xref ref-type="bibr" rid="b2-sensors-11-00180">2</xref>–<xref ref-type="bibr" rid="b7-sensors-11-00180">7</xref>]. Of these however, the firefly, Renilla, and bacterial luciferases are the most popular for optical imaging. These bioluminescent proteins are gaining preference over their fluorescent counterparts because the lack of endogenous bioluminescent reactions in mammalian tissue allows for near background-free imaging conditions whereas the prevalence of fluorescently active compounds in these tissues can interfere with target resolution upon exposure to the fluorescent excitation wavelengths required for the generation of signal output.</p></sec>
<sec>
<label>2.</label>
<title>Common Bioluminescent Reporter Proteins</title>
<p>Firefly luciferase (FLuc) is the best studied of a large number of luminescent proteins to be discovered in insects. The genes utilized in most studies are those from the common North American firefly, <italic>Photinus pyralis</italic> [<xref ref-type="bibr" rid="b8-sensors-11-00180">8</xref>]. The FLuc protein catalyzes the oxidation of reduced luciferin in the presence of ATP-Mg<sup>2+</sup> and oxygen to generate CO<sub>2</sub>, AMP, PP<sub>i</sub>, oxyluciferin, and yellow-green light at a wavelength of 562 nm. This reaction was originally reported to occur with a quantum yield of almost 90% [<xref ref-type="bibr" rid="b9-sensors-11-00180">9</xref>], however, advances in detection technology have revealed that it is likely actually closer to 40% [<xref ref-type="bibr" rid="b10-sensors-11-00180">10</xref>]. Nonetheless, the sufficiently high quantum yield of this reaction is well suited to use as a reporter with as few as 10<sup>−19</sup> mol of luciferase (2.4 × 10<sup>5</sup> molecules) able to produce a light signal capable of being detected [<xref ref-type="bibr" rid="b11-sensors-11-00180">11</xref>].</p>
<p>Renilla luciferase (RLuc) undergoes a similar method of action to produce bioluminescence. The gene encoding for this protein was originally isolated from the soft coral <italic>Renilla reniformis</italic> and displays blue-green light at a wavelength of 480 nm, however, additional red-shifted variants have been created as well that luminesce at higher wavelengths to promote increased tissue penetration of the luminescent signal. Regardless of the emission wavelength, the RLuc proteins all catalyze the oxidative decarboxylation of its substrate coelenterazine in the presence of dissolved oxygen and perform this reaction at a quantum yield of 7% [<xref ref-type="bibr" rid="b3-sensors-11-00180">3</xref>]. Because of its dissimilar bioluminescent signal and substrate, RLuc is often used simultaneously with FLuc for multiple reporter studies.</p>
<p>Bacterial luciferase (Lux) is distinct in function from FLuc and RLuc. Although the most studied of the Lux-containing species are marine bacteria from the <italic>Vibrio</italic> genus, this bioluminescent strategy is present among many known bacterial phyla, and in all documented examples the basic method of bioluminescent production is the same [<xref ref-type="bibr" rid="b12-sensors-11-00180">12</xref>]. The Lux operon is organized in a cassette of five genes (<italic>luxCDABE</italic>) that work together to produce bioluminescence in an autonomous fashion at a wavelength of 490 nm. Lux catalyzes the production of light through oxidation of a long chain fatty aldehyde in the presence of oxygen and reduced riboflavin phosphate. The luciferase is a dimer formed from the <italic>luxA</italic> and <italic>luxB</italic> genes, while the remainder of the genes (<italic>luxCDE</italic>) are responsible for protein products that catalyze production and turnover of the required aldehyde substrate [<xref ref-type="bibr" rid="b7-sensors-11-00180">7</xref>]. Because of this self-sufficient design, Lux does not require the addition of a substrate if it is capable of being properly expressed in the host cell.</p>
<p>The advantages and disadvantage of BLI reporter proteins are listed in <xref ref-type="table" rid="t1-sensors-11-00180">Table 1</xref>.</p></sec>
<sec>
<label>3.</label>
<title>Optical Properties of Biological Tissues</title>
<p>The unique constraints of performing data collection from within a living medium must be considered in relation to any choice of reporter system. The detection of a luminescent signal from within a tissue sample is dependent on several factors, including the flux of photons from the reporter, the total number of functional reporter cells in the sample, and the location of the reporter cells within the tissue sample itself [<xref ref-type="bibr" rid="b13-sensors-11-00180">13</xref>]. In addition, the visualization of the bioluminescent signal is dependent on the absorption and scattering of that signal prior to detection. One method to control for these conditions is to alter the wavelength of the reporter signal. Increasing the wavelength can both reduce scattering and decrease absorption because the majority of luminescent absorption is the result of interaction of the signal with endogenous chromophoric material. By moving to a more red-shifted emission wavelength, where the levels of absorption within tissue are lower, it becomes possible to measure a greater amount of signal intensity than would be possible from an identical reporter with a lower, more blue-shifted emission wavelength [<xref ref-type="bibr" rid="b14-sensors-11-00180">14</xref>]. For this reason, it is important to consider the emission wavelength of a given reporter system, along with the other desired attributes of that reporter, prior to its introduction into any experimental design. For example, the bioluminescent signal from the Lux reaction is produced at 490 nm. This is relatively blue-shifted as compared to the FLuc-based bioluminescent probes that display their peak luminescent signal at 560 nm. The shorter wavelength of the Lux-based signal has a greater chance of becoming attenuated within the tissue and therefore may not be as easily detected if it is used in deeper tissue applications (such as intraperitoneal or intraorganeller injections), and may require longer integration times to achieve the same level of detection as a longer wavelength reporter would when injected subcutaneously. Therefore, if short measurement times and low population level cell detections are the goals of a particular experiment, an FLuc-based reporter would be beneficial compared to a Lux-based reporter despite potential problems introduced through substrate administration in the FLuc system. However, if a near surface detection of large cell populations (such as a subcutaneous tumor) was the end goal, the effects of absorption and scattering could be overcome by the depth and position of the reporter, thus allowing for selection of the more blue-shifted Lux reporter system.</p></sec>
<sec>
<label>4.</label>
<title>Imaging Equipment</title>
<p>The challenge of detecting and locating bioluminescent light emissions from within living subjects has been met by several commercial suppliers of <italic>in vivo</italic> imaging equipment (<xref ref-type="table" rid="t2-sensors-11-00180">Table 2</xref>). A basic imaging system consists of a light-tight imaging chamber into which the subject is placed and a high quantum efficiency charged coupled device (CCD) camera, usually super cooled to less than −80 °C to reduce thermal noise, that collects emitted light. The camera typically first takes a photographic image of the subject followed by a bioluminescent image. When superimposed, regions of bioluminescence become mapped to the subject’s anatomy for pinpoint identification of source emissions. Acquisition times can range from a few seconds to several minutes depending on signal strength. Software displays the image in a pseudo colored format and provides the tools needed to quantify, adjust, calibrate, and background correct the resulting image. Integrated gas anesthesia systems, heated stages, and isolation chambers are typically available to accommodate animal handling.</p>
<p>The technology incorporated into <italic>in vivo</italic> imaging systems is rapidly advancing to meet user needs in a greater diversity of application backgrounds. CCD cameras are being replaced by more sensitive intensified CCD (ICCD) and electron multiplying CCD (EMCCD) cameras that can manage acquisition times of millisecond durations. These fast processing times along with powerful software now permit real-time tracking of conscious, moving subjects (see, for example, the IVIS Kinetic system from Caliper Life Sciences). Anesthesia can have dramatic, unknown, and interfering effects on animals, and the ability to image in its absence is a major step forward in <italic>in vivo</italic> imaging technology. However, these newer imaging systems still remain far too expensive for the typical researcher and to date most imaging is still performed on anesthetized animals. Imaging systems are additionally becoming better integrated with existing medical technologies for multi-parameter analyses. For example, electrocardiogram (ECG), X-ray, or computed tomography (CT) procedures can operate in parallel with imaging acquisition. The ability of software to overlay and map these data to the bioluminescent image offers unique opportunities to visualize physiological status and kinetics.</p>
<p>The major drawback of <italic>in vivo</italic> imaging systems is its limited depth penetration under whole animal imaging conditions. In most cases, using a CCD camera to image luminescent or fluorescent signals at depths beyond a few centimeters produces inconsistent results. Without major advances in imaging sensitivity, either with the camera systems, the internal signal, or almost certainly both in tandem, <italic>in vivo</italic> imaging applications may become limited solely to small animals and the translational leap to humans will never occur. Rather than relying on a camera to visualize the signal externally, it may be feasible and potentially more practical to monitor the signal internally using implantable sensors. Although not yet a viable technology, proof-of-concept microluminometer integrated circuits of only a few square millimeters in size have been developed and validated for bioluminescent signal acquisition [<xref ref-type="bibr" rid="b15-sensors-11-00180">15</xref>]. These so-called bioluminescent bioreporter integrated circuits, or BBICs, were specifically designed for capturing the 490 nm bioluminescent light signal emitted by the bacterial Lux proteins, and accommodated on-chip transmitters for wireless data transmission. Effectively interfacing the microluminometers with the luciferase reporter systems, maintaining reporter viability, and implanting the chips would remain challenging, as would the regulatory and safety constraints associated with any human implantation experimental approaches.</p></sec>
<sec>
<label>5.</label>
<title>Imaging Modalities</title>
<sec>
<label>5.1.</label>
<title>Steady-State Bioluminescent Imaging</title>
<p>The classical hallmark of BLI is steady state imaging, a process whereby bioluminescently tagged cells are imaged over time to determine if light output is increasing or decreasing compared to the initial state. In this type of imaging, either a gain or loss of signal can be the desired result depending on the experimental design. Commonly, bioluminescent cells are injected into an animal model to determine the kinetics of tumorigenesis and growth. The use of BLI as a substitute for mechanical or histological measurement of tumors has increased rapidly in recent years as it does not entail high levels of animal subject sacrifice nor tedious histological analysis, and can overcome the loss of accuracy associated with physical analysis due to the contribution of edema and necrotic centers to overall tumor size [<xref ref-type="bibr" rid="b16-sensors-11-00180">16</xref>].</p>
<p>By monitoring tumor growth using BLI, an investigator can track changes within individual animals over time without requiring the subject to be sacrificed. This reduces the amount of intra-animal variability and can improve the detection of significant results. Kim and colleagues have recently demonstrated the effectiveness and resolution of the newest generation of these reporters designed for tumor detection. By injecting codon-optimized FLuc transfected 4T1 mouse mammary tumor cells subcutaneously, they were able to image single bioluminescent cells at a background ratio of 6:1 [<xref ref-type="bibr" rid="b17-sensors-11-00180">17</xref>]. This type of resolution will allow researchers to continuously monitor cancer development from a single cell all the way to complete tumor formation.</p>
<p>In the opposite direction, decreases in bioluminescent expression can be used to quickly and efficiently perform drug efficacy screening. The same logistical concerns that have propelled BLI forward as the tool for choice for tumor monitoring are also making it the preferred choice for the screening of new compounds directed at tumor suppression or infection control. In addition, the use of mixed culture or whole animal models can more closely mimic the target microenvironmental conditions that may alter the compound’s activity. As one example, McMillin <italic>et al</italic>. [<xref ref-type="bibr" rid="b18-sensors-11-00180">18</xref>] illustrated that high throughput scalable mixed cell cultures with FLuc tagged cancer cells can identify anti-cancer drugs that are specifically effective in the tumor microenvironment early in the discovery pipeline, thereby aiding in their prioritization for further study in ways not previously possible.</p></sec>
<sec>
<label>5.2.</label>
<title>Multi-Reporter Bioluminescent Imaging</title>
<p>In a basic experimental design, multi-reporter BLI is performed by simultaneously monitoring for expression of two or more divergent luciferase proteins. This is made possible because all of the characterized luciferase proteins have divergent bioluminescent emission wavelengths. This type of experimental design is especially useful when used to monitor potentially co-dependent, or inter-dependent protein expression such as that expressed during the maintenance of circadian rhythm. Here, the expression of multiple genes can be monitored in real time, without the need to expose cells to potentially influential doses of excitation light wavelengths as would be required for imaging using fluorescent targets [<xref ref-type="bibr" rid="b19-sensors-11-00180">19</xref>]. Even when expression of the individual genes of interest is static, sequential imaging of multiple luciferase proteins provides a convenient method for localizing expression profiles of each gene <italic>in vivo</italic> [<xref ref-type="bibr" rid="b20-sensors-11-00180">20</xref>].</p>
<p>The work of Audigier and colleagues [<xref ref-type="bibr" rid="b21-sensors-11-00180">21</xref>] demonstrates how imaging multiple bioluminescent reporters can be an opportune way to monitor translational dynamics using the function of the fibroblast growth factor two internal ribosomal entry site on neural development as a model. To determine the associated ratios of cap-dependent to cap-independent translation, they cloned the RLuc gene upstream of the site and the FLuc gene downstream. By doing so, they were able to quantify and compare the levels of expression of each reporter protein independently from the same sample, helping to reduce sampling error.</p></sec>
<sec>
<label>5.3.</label>
<title>Multi-Component Bioluminescent Imaging</title>
<p>Similar to multi-reporter BLI, multi-component BLI relies on the co-expression of an alternate imaging construct, however, in this case the secondary construct is not itself bioluminescent. Classically, the luminescent emission signal of a substrate amended luciferase protein can be harnessed to act as the excitation signal for an associated fluorescent reporter protein, negating the requirement for treatment with a background stimulating exogenous light source. This process, known as bioluminescence resonance energy transfer (BRET) occurs naturally in the sea pansy <italic>Renilla reniformis</italic> and other marine animals [<xref ref-type="bibr" rid="b22-sensors-11-00180">22</xref>], but can be used in research settings to boost the luminescent signal of a bioluminescent reporter, or, more popularly, to determine the interaction of two components of interest within a given system.</p>
<p>A widely known example of the utility of this system was the use of BRET to demonstrate the presence of G protein coupled receptor dimers on the surface of living cells. By tagging a subset of β<sub>2</sub>-adrenergic receptor proteins with RLuc and a subset with the red-shifted variant of green fluorescent protein, YFP, it was possible to detect both a luminescent and fluorescent signal in cells expressing both variants, but no fluorescent signal in cells expressing only YFP [<xref ref-type="bibr" rid="b23-sensors-11-00180">23</xref>]. This illustrated the close proximity of the two constructs, since the energy transfer required for excitation of the YFP component can only be performed over very short distances and the lack of endogenous luminescence in the YFP excitation wavelength prevents background fluorescent production.</p>
<p>In some cases, the secondary component is not a fluorescent compound but rather a non-independently functional domain of the luciferase protein itself. These types of constructs are easily created using reporters such as FLuc that have distinct N (NLuc) and C (CLuc) terminal domains joined by a linker region. These types of protein structures lend themselves nicely to separation into distinct components that, when brought together, can form a functional luciferase protein.</p>
<p>First described by Paulmurugan <italic>et al</italic>. [<xref ref-type="bibr" rid="b24-sensors-11-00180">24</xref>], this process takes advantage of the lack of a bioluminescent signal in small animal tissue samples. The individual N and C terminal components of the FLuc protein are not capable of producing light independently of one another, however, when they were independently tethered to two proteins known to interact strongly, the researchers were able to demonstrate that bioluminescence could be restored upon substrate amendment. The complementation of a single luciferase protein as opposed to the adjoinment of a luciferase with a fluorescent partner does not require the pair matching of a luciferase/fluorescent reporter with overlapping emission/excitation wavelengths, and can permit co-visualization with other reporters in a single subject to permit multi-localization of groups of proteins.</p></sec>
<sec>
<label>5.4.</label>
<title>Bioluminescence as a Supplementary Imaging Technique</title>
<p>As the technology for small animal imaging continues to increase in power and availability, there is an increasing movement towards combining multiple imaging techniques to improve the amount of detail that can be obtained from a single subject. While no single imaging technique can provide an investigator with a comprehensive picture of the system as a whole, the combination of multiple techniques such as computed tomography (CT), positron emission tomography (PET), and BLI can help to “fill in the gaps” left by each approach in a rapid, sequential manner. The development of trimodal fusion proteins that are capable of simultaneously acting as signals for fluorescence, bioluminescence, and PET, and the introduction of combined clinical PET/CT scanners has made it possible to obtain more information from a single animal subject than was previously believed possible [<xref ref-type="bibr" rid="b25-sensors-11-00180">25</xref>].</p></sec></sec>
<sec sec-type="methods">
<label>6.</label>
<title>Substrate Delivery Methods</title>
<sec>
<label>6.1.</label>
<title>Required Substrate Amendment</title>
<p>The most common bioluminescent proteins employed as targets for whole animal BLI, FLuc and RLuc, require the injection of a substrate compound in order to produce a bioluminescent signal. FLuc requires the injection of D-luciferin, while RLuc requires the injection of coelenterazine. It is only upon oxidation of these luciferin compounds that light is capable of being produced. The route of substrate injection can have influential effects on the emission of a luminescent signal so, although logistical concerns may be most pertinent to consideration for investigators, the method of injection should be considered in light of the proposed objectives of any study [<xref ref-type="bibr" rid="b26-sensors-11-00180">26</xref>].</p></sec>
<sec>
<label>6.2.</label>
<title>Intraperitoneal Injection</title>
<p>The convenience of intraperitoneal injection makes it an attractive option for the majority of researchers, however, following this route of injection the substrate must absorb across the peritoneum to reach the target expressing cells. Any variations in this rate of absorption can lead to variations in the resulting luminescent signal and can make reproducibility of results increasingly difficult [<xref ref-type="bibr" rid="b27-sensors-11-00180">27</xref>]. In addition, investigator error can lead to injection into the bowel, causing a weak or non-existent luminescent signal that can be confused with a negative result [<xref ref-type="bibr" rid="b28-sensors-11-00180">28</xref>]. Predictably, intraperitoneal injection provides lower peak luminescence levels than subcutaneous injection when inducing light production in subcutaneous tumor models, however, it has been found that it can also overestimate tumor size when used to induce luminescence from intraperitoneal or spleen-localized tumors, owing to direct contact between the luciferin and the target luciferase expressing cells [<xref ref-type="bibr" rid="b26-sensors-11-00180">26</xref>]. The greater availability of the luciferin to the luciferase containing cells can increase the amount of bioluminescent output by allowing them greater access to the luciferin compound without prior diffusion through non-luciferase containing tissue and increasing the influx of the luciferin compound into the cell due to the resulting increased concentration gradient.</p></sec>
<sec>
<label>6.3.</label>
<title>Intravenous Injection</title>
<p>Intravenous injection can be used to systematically profuse a test subject with D-luciferin or coelenterazine and expose multiple tissue locations to the substrate on relatively similar timescales. The systemic profusion of luciferin allows for lower doses to be administered to achieve similar luminescence intensities as would be seen using alternate injection routes [<xref ref-type="bibr" rid="b27-sensors-11-00180">27</xref>], however, studies using radio-labeled D-luciferin have indicated that the uptake rate of intravenously injected substrate is actually slower in gastrointestinal organs, pancreas, and spleen than would be achieved using intraperitoneal injection [<xref ref-type="bibr" rid="b29-sensors-11-00180">29</xref>]. While the intravenous injection of substrate can quickly perfuse throughout the entire subject, the resulting luminescent signal is of a much shorter duration than would be observed using alternate injection routes [<xref ref-type="bibr" rid="b26-sensors-11-00180">26</xref>].</p></sec>
<sec>
<label>6.4.</label>
<title>Subcutaneous Injection</title>
<p>Subcutaneous injection can be used as an alternative to intraperitoneal injection while avoiding the signal attenuation shortcomings of the intravenous injection route. It has previously been demonstrated by Bryant <italic>et al</italic>. [<xref ref-type="bibr" rid="b30-sensors-11-00180">30</xref>] that repeated subcutaneous injection of luciferin can provide a simple and accurate model for monitoring brain tumor growth in rats. It has also been demonstrated that the repeated subcutaneous injection of D-luciferin or coelenterazine into an animal model results in minimal injection site damage and can provide researchers with bioluminescent signals that correlate well with intraperitoneal substrate injection luminescent profiles, albeit with a longer lag time prior to reaching tumor models in the intraperitoneal space [<xref ref-type="bibr" rid="b26-sensors-11-00180">26</xref>].</p></sec></sec>
<sec>
<label>7.</label>
<title>BLI Applications</title>
<p>The effectiveness, sensitivity, and sophistication of BLI methods and tools have resulted in an ever broadening inventory of applications. <xref ref-type="table" rid="t3-sensors-11-00180">Tables 3</xref> and <xref ref-type="table" rid="t4-sensors-11-00180">4</xref> provide a snapshot of current research and developmental activities using the FLuc, RLuc, and Lux BLI systems and the following sections present brief overviews of selected applications.</p>
<sec>
<label>7.1.</label>
<title>Small Animal Models</title>
<p>Small animal models, particularly mice, have become the preferred subjects for optical imaging experiments. The use of a model system such as the mouse allows researchers to look at human-relevant processes in a well documented proxy using equipment that performs similar functions, but is much less expensive and requires less space and resources than those employed within the medical field for human subjects. It also allows the researcher to move away from a cell culture setting where the system of interest is not able to be monitored under the same conditions at it would within the organism as a whole. This allows for the conduct of medically important research that can accelerate the transition to human medical use. One example of a common application of this type of research is the use of a bioluminescently-tagged cancer cell line to track the growth dynamics of the cancer over time and in response to various treatment strategies. Zhang <italic>et al</italic>. [<xref ref-type="bibr" rid="b31-sensors-11-00180">31</xref>] have recently demonstrated how these two avenues can be investigated simultaneously by using FLuc-tagged MDA-MB-453 cells. By using a mouse model and injecting FLuc-tagged cancer cells, they were able to simultaneously compare and contrast multiple cancer models and at the same time evaluate the effect of several treatment courses.</p>
<p>Virostko and colleagues [<xref ref-type="bibr" rid="b32-sensors-11-00180">32</xref>] have demonstrated the usefulness of using a small animal model for direct measurement of human cells through the profusion of pancreatic Islets into mice expressing luciferase under the control of mouse insulin I promoter. This has allowed them to noninvasively look at changes in luminescent response to β cell mass under baseline and diabetic conditions. These types of medically relevant experiments demonstrate the advantages that can be achieved in a short period of time by using a small animal model rather than human subjects or cell culture.</p></sec>
<sec>
<label>7.2.</label>
<title>Tracking Cells</title>
<p>BLI is extremely useful for longitudinal assessment of cell fate <italic>in vivo</italic>. When introduced into a living animal, bioluminescently-labeled cells can be repeatedly and noninvasively imaged over time. The intensity and location of the bioluminescent signal can provide insights into the abundance and spatial distribution of tagged cells in the living subject. In addition to visualizing tumor progression <italic>in vivo</italic> by imaging bioluminescent cancer cells injected into living animals, investigators have employed BLI to monitor the behaviors of stem cells [<xref ref-type="bibr" rid="b33-sensors-11-00180">33</xref>–<xref ref-type="bibr" rid="b41-sensors-11-00180">41</xref>], the response of immune cells in various diseases [<xref ref-type="bibr" rid="b42-sensors-11-00180">42</xref>–<xref ref-type="bibr" rid="b45-sensors-11-00180">45</xref>], and the rejection and engraftment of transplanted tissues [<xref ref-type="bibr" rid="b46-sensors-11-00180">46</xref>–<xref ref-type="bibr" rid="b48-sensors-11-00180">48</xref>].</p>
<p>Stem cell-based therapies hold promise in the treatment of cancer, cardiac disease, brain injury and other diseases. Before moving onto clinical trials, however, the behavior and mechanism of action of transplanted cells must be understood <italic>in vivo</italic>. Whole animal BLI allows repetitive and quantitative measurements of cells of interest, providing useful information on cell survival, proliferation and migration over time in the same living subject. For example, different types of stem cells have been extensively used in cardiac regeneration therapies [<xref ref-type="bibr" rid="b34-sensors-11-00180">34</xref>,<xref ref-type="bibr" rid="b41-sensors-11-00180">41</xref>,<xref ref-type="bibr" rid="b49-sensors-11-00180">49</xref>,<xref ref-type="bibr" rid="b50-sensors-11-00180">50</xref>]. Recently, van der Bogt and colleagues compared different stem cell types as candidates for treatment of myocardial infarction [<xref ref-type="bibr" rid="b41-sensors-11-00180">41</xref>,<xref ref-type="bibr" rid="b50-sensors-11-00180">50</xref>]. They utilized BLI to assess <italic>in vivo</italic> fates of bioluminescently tagged bone marrow mononuclear cells (MNs), mesenchymal stem cells (MSCs), adipose stromal cells (ASCs), and skeletal myoblasts (SkMb) after transplantation into a murine myocardial infarction model. Their results suggested that MNs exhibited higher survival rate than other cell types, along with better heart function. Stem cell researches will continually benefit from BLI as a fast and noninvasive tool to visualize cell fate <italic>in vivo</italic>.</p>
<p>In addition to stem cells, immune cells are also attractive targets in research involving BLI. By labeling cells of interest with constitutively expressed luciferase, investigators are able to visualize target cell population trafficking throughout living subjects and homing to disease sites in response to various stimuli [<xref ref-type="bibr" rid="b51-sensors-11-00180">51</xref>,<xref ref-type="bibr" rid="b52-sensors-11-00180">52</xref>]. BLI enables monitoring immune effector cells (such as cytotoxic T cells and natural killer T cells) in various malignant diseases including graft-<italic>versus</italic>-host disease, cancer, heart diseases, and neurological diseases [<xref ref-type="bibr" rid="b42-sensors-11-00180">42</xref>,<xref ref-type="bibr" rid="b43-sensors-11-00180">43</xref>,<xref ref-type="bibr" rid="b45-sensors-11-00180">45</xref>,<xref ref-type="bibr" rid="b53-sensors-11-00180">53</xref>–<xref ref-type="bibr" rid="b55-sensors-11-00180">55</xref>]. As an example, investigators employ BLI to assess the fate of adoptively transferred T cells in tumor-bearing hosts to study tumor immunology and immunotherapy. In a recent study performed by Dobrenkov <italic>et al</italic>. [<xref ref-type="bibr" rid="b45-sensors-11-00180">45</xref>], BLI was used to longitudinally track human prostate cancer-specific T lymphocytes in a murine prostate carcinoma model. By labeling tumor-targeted T cells with click beetle red luciferase and tagging tumor cells with RLuc, the authors were able to visualize T cell trafficking and tumor progression in the same animals at the same time. This model demonstrates the application of multi-reporter BLI on adoptive T cell-based immunotherapy and host response. By integrating multiple reporter probes, BLI has the potential to visualize complicated biological events involving multiple components of interest.</p></sec>
<sec>
<label>7.3.</label>
<title>Monitoring of Genes</title>
<p>Regulation of gene expression is fundamental in cellular and molecular processes. Since more and more genes have been discovered to be regulated or responsive to various signals during disease progression, BLI has been facilitating the studies of conditional and spatiotemporal expression patterns of endogenous genes in living animals to provide better understandings of what is happening <italic>in vivo</italic> in real time. A common approach to monitor gene expression using BLI is to express a reporter gene (<italic>luc</italic>, for example) from the promoter of the gene of interest to test the expression of a particular gene. Alternatively, expressing the reporter gene under the control of regulatory elements responsive to a certain transcription factor can be used to investigate genes regulated by the same transcription factor. The expression level of the target gene is assessed by monitoring luciferase expression which can be interpreted from the photon output. This approach has been widely use to study viral gene expression [<xref ref-type="bibr" rid="b56-sensors-11-00180">56</xref>], oncogene regulation [<xref ref-type="bibr" rid="b57-sensors-11-00180">57</xref>], heat shock genes [<xref ref-type="bibr" rid="b58-sensors-11-00180">58</xref>,<xref ref-type="bibr" rid="b59-sensors-11-00180">59</xref>], genes involved in circadian clock rhythms [<xref ref-type="bibr" rid="b60-sensors-11-00180">60</xref>], and genes involved in inflammation and various disease states [<xref ref-type="bibr" rid="b61-sensors-11-00180">61</xref>–<xref ref-type="bibr" rid="b67-sensors-11-00180">67</xref>]. As an example, Keller and coworkers [<xref ref-type="bibr" rid="b67-sensors-11-00180">67</xref>] investigated the expression of glial fibrillary acidic protein (GFAP) during the progression of amyotrophic lateral sclerosis (ALS). The authors generated a GFAP-luciferase reporter so that the regulation of GFAP could be visualized via bioluminescence output. Transgenic mice expressing the reporter construct were continuously imaged during the progression of ALS. Their findings demonstrated that GFAP induction in Schwann cells signified an onset of ALS. BLI facilitates the visualization of critical gene expression patterns in different stages of disease and advances the understanding of disease progression <italic>in vivo</italic>.</p>
<p>BLI has not only been used to monitor endogenous gene expression, but also has been widely utilized to visualize transgene delivery and expression <italic>in vivo</italic> since it is fast, sensitive, and noninvasive. Efficacy of gene transfer is evaluated by monitoring bioluminescent readout in the same living subject repeatedly over time without sacrificing animals. In recent years, investigators have employed BLI to assess many viral- and non viral-mediated gene transfer protocols [<xref ref-type="bibr" rid="b68-sensors-11-00180">68</xref>–<xref ref-type="bibr" rid="b72-sensors-11-00180">72</xref>].</p></sec>
<sec>
<label>7.4.</label>
<title>Evaluating Protein Stability and Interaction</title>
<p>BLI benefits not only studies of monitoring gene expression at the transcriptional level, but also assessing biological processes at the level of protein function and interaction. One method to evaluate protein expression and stability is to fuse a reporter protein (usually FLuc) to the protein of interest. The stability of the target protein can be monitored by the bioluminescent output from the luciferase function. Temporal changes in signal intensity tell investigators the dynamics of abundance of the protein in question. For example, Lehmann <italic>et al</italic>. [<xref ref-type="bibr" rid="b61-sensors-11-00180">61</xref>] constructed a fusion protein containing HIF-1α and firefly luciferase to study the stabilization of HIF-1α in tumor development <italic>in vivo</italic>. HIFs (hypoxia inducible factors) regulate genes involved in cellular response to hypoxia and play a critical role in cancer biology [<xref ref-type="bibr" rid="b73-sensors-11-00180">73</xref>]. It has been demonstrated that HIF-1α is more abundant in some tumor cells than in normal cells [<xref ref-type="bibr" rid="b74-sensors-11-00180">74</xref>]. In this study, a murine colon cancer cell line, C51, was stably transfected with the fusion reporter and subcutaneously injected into nude mice to create an allograft model. BLI was used to measure total photon flux in HIF-1α-Fluc-expressing tumors as the tumors grew. Their results revealed an increase in HIF-1α level in the early phase of tumor development and a dramatic decrease when the tumor volume was up to 1 cm<sup>3</sup>. The HIF signaling pathway has become an attractive target for anticancer treatment [<xref ref-type="bibr" rid="b73-sensors-11-00180">73</xref>]. The BLI allograft model constructed in this study will assist drug development by providing a tool to visualize the efficacy of drugs in regulating HIF targets <italic>in vivo</italic>.</p>
<p>In addition to monitoring the stability of a given protein, investigators also use BLI to assess the activities of general protein degradation machinery. In one example of such work, Luker <italic>et al</italic>. [<xref ref-type="bibr" rid="b75-sensors-11-00180">75</xref>] generated a ubiquitin-luciferase fusion reporter to monitor the activity of 26S proteasome <italic>in vivo</italic> by assessing the degradation of the reporter. This change in activity was thus represented by the changes in bioluminescent output. A similar application of BLI has been its use in reporter complementation assays, which have been widely used to assess protease activities [<xref ref-type="bibr" rid="b75-sensors-11-00180">75</xref>–<xref ref-type="bibr" rid="b78-sensors-11-00180">78</xref>]. In such cases, split fragments of luciferase are separated by a linker sequence that is recognized as a substrate by the particular protease of interest. In the presence of target enzyme, cleavage of the linker allows the split fragments to re-associate back to a fully functional protein and produce a bioluminescent signal. Recently, Wang and coworkers [<xref ref-type="bibr" rid="b78-sensors-11-00180">78</xref>] used this approach to noninvasively monitor the activity of Hepatitis C virus (HCV) NS3/4A serine protease which is essential for viral reproduction <italic>in vivo</italic>. The reporter was constructed by separating the N-terminus and C-terminus of firefly luciferase and fusing them to interacting peptides (peptide A and peptide B), respectively, with NS3/4A cleavage sites. The reporter plasmid was co-injected with a plasmid (pNS3/4A) encoding the HCV NS3/4A protease sequence or a control plasmid into living mice to validate the reporter <italic>in vivo</italic>. BLI revealed an increase in bioluminescent output in mice co-injected with pNS3/4A compared to mice co-injected with a vehicle control plasmid. Moreover, the authors demonstrated the ability of this reporter to screen NS3/4A inhibitors in living animals.</p>
<p>Many biological events involve protein-protein interactions that can be affected by various physiological conditions. Traditionally, protein interactions were studied by means of a two-hybrid system in yeast. However, complete understanding of protein interactions requires assessing the subjects within relevant cellular microenvironments. BLI allows <italic>in vivo</italic> visualization of protein interactions as they happen in living animals in real time. In such cases, luciferase is split into two non-functional fragments (NLuc and CLuc), each of which is fused to one of the two proteins of interest. Interaction between query proteins brings NLuc and CLuc fragments close to each other to form a fully functional luciferase. When the split reporter is introduced into living animals, bioluminescent output can be read as an indicator of protein interactions <italic>in vivo</italic>. Paulmurugan <italic>et al</italic>. [<xref ref-type="bibr" rid="b24-sensors-11-00180">24</xref>] for the first time demonstrated the application of split firefly luciferase complementation BLI to image MyoD-Id interaction in living mice. Later, the same group generated a split synthetic Renilla luciferase complementation assay to image drug-modulated heterodimerization of two human proteins <italic>in vivo</italic> [<xref ref-type="bibr" rid="b79-sensors-11-00180">79</xref>]. Recently, Luker and colleagues [<xref ref-type="bibr" rid="b80-sensors-11-00180">80</xref>] successfully utilized this approach to image activation and inhibition of chemokine receptor CXCR4 signaling in breast cancer metastasis <italic>in vivo</italic> by detecting interactions between CXCR4 and β-arrestin. This study established a new imaging model to probe CXCR signaling pathways and to screen for inhibitors in living animals.</p></sec></sec>
<sec>
<label>8.</label>
<title>Recent Advances</title>
<p>It is no surprise that with increasing interest and publication rates, more investigators are becoming involved in whole animal BLI research. With the increased demand for improved techniques and technologies comes the advances that move the field forward. One of the long standing problems has been the necessity for repeated injection of a substrate compound when FLuc or RLuc are employed as target reporter proteins. In order to reduce the amount of sequential injections required to illicit bioluminescent output, a method has recently been adopted that encapsulates the D-luciferin substrate of FLuc into a liposome, which can then be tailored to release the substrate at either a rapid, or gradually increasing rate. Intratumoral injections of quick-release liposomes allowed for an initial burst of detectable light, while intravenous injection of slow-release liposomes lead to a slow increase in radiance over 4–7 hours [<xref ref-type="bibr" rid="b141-sensors-11-00180">141</xref>]. This choice of fast or prolonged luciferin release can provide researchers with customizable options to reduce the strain of repeated substrate injection on their animal models.</p>
<p>To alleviate the potential resolution problems associated with imaging small metastatic tumor formation in living tissues, it has recently been demonstrated that the naturally secreted Gaussia luciferase (GLuc) protein can be used as a proxy for overall tumor burden. When tumor cells are tagged with the gene driving production of GLuc, the resulting protein product will be secreted into the bloodstream where it can then be imaged and subsequently correlated to overall tumor cell prevalence. In addition to demonstrating the feasibility of using GLuc to track system-wide metastatic prevalence, it can also be used to continuously monitor for treatment response without the need to isolate and image individual areas [<xref ref-type="bibr" rid="b142-sensors-11-00180">142</xref>], making it an excellent proxy for quickly evaluating the effectiveness of anticancer compounds over time <italic>in vivo</italic>.</p>
<p>There has also been recent success in adapting the Lux system for autonomous function in mammalian cells (<xref ref-type="fig" rid="f1-sensors-11-00180">Figure 1</xref>). The Lux system is unique because it is capable of synthesizing all of its required substrate components from endogenously available cellular components. This circumvents the problems associated with differential injection routes and the dynamic luminescent expression profiles associated with repeated substrate injection using alternate luciferase systems. It has now been shown that mammalian codon-optimized <italic>lux</italic> genes can be expressed in mammalian cells and produce detectable bioluminescent signals at a wavelength of 490 nm over periods of days when constitutively induced. When mammalian cells expressing bioluminescent signal from the <italic>lux</italic> genes are subcutaneously injected into small animal models, they are able to function as tumor mimics that can combine the substrate-less detection characteristics of fluorescent reporters with the low background levels of bioluminescent reporter systems [<xref ref-type="bibr" rid="b119-sensors-11-00180">119</xref>]. The ability to perform whole animal BLI without exogenous substrate addition will open the door for continuous, real-time imaging of animal subjects and provide investigators with a new luciferase for multiple reporter studies, increasing the usefulness of this technique. Because of the reagentless nature of Lux expression, it can easily be used in conjunction with existing reporter systems, prior to or following injection of the requisite substrate or introduction of an excitation wavelength of the chosen co-reporter system(s). In addition, the lack of a dynamic bioluminescent production rate in response to substrate addition allows the target populations of cells to be correlated to bioluminescent output at any time point during an experiment [<xref ref-type="bibr" rid="b119-sensors-11-00180">119</xref>].</p></sec>
<sec sec-type="conclusions">
<label>9.</label>
<title>Conclusions</title>
<p>In the relatively short period of time since its introduction, whole animal BLI has become an invaluable technique for the noninvasive monitoring of small animal subjects that has yielded invaluable contributions to a variety of scientific fields. The majority of BLI experiments take advantage of the well-characterized FLuc or RLuc luciferase proteins, and when used in conjunction with alternate imaging technologies, they can provide extremely thorough and sophisticated datasets. However, one must take care to select the appropriate route of substrate injection upon supplementation of their associated substrate compounds. Despite the shortcomings of the currently available luciferase systems, they can often be adapted to provide information that would previously remain hidden from view, and recent advances in the field that can increase detection of small tumors, improve regulation of substrate availability, or negate it entirely make the future of BLI bright indeed.</p></sec></body>
<back>
<ack>
<p>Portions of this review reflecting work by the authors was supported by the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) under award number CBET-0853780, the National Institutes of Health, National Cancer Institute, Cancer Imaging Program, award number CA127745-01, and the Army Defense University Research Instrumentation Program.</p></ack>
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<sec sec-type="display-objects">
<title>Figure and Tables</title>
<fig id="f1-sensors-11-00180" position="float">
<label>Figure 1.</label>
<caption>
<p><italic>In vivo</italic> comparison of the FLuc and Lux reporter systems in a mouse model. Following subcutaneous injection of both <bold>(A)</bold> FLuc-tagged cells and luciferin or <bold>(B)</bold> Lux-tagged cells alone, the subject is imaged to determine the size and placement of the target cellular population within the animal. Similar experiments can be performed for <bold>(C)</bold> FLuc or <bold>(D)</bold> Lux-tagged cells following intraperitoneal injection. Although the average radiance of the FLuc cells is greater than that of Lux cells (note inset scale values), the low background detection ofsmall animal BLI allows for similar localization of cellular populations within the subject.</p></caption>
<graphic xlink:href="sensors-11-00180f1.gif"/></fig>
<table-wrap id="t1-sensors-11-00180" position="float">
<label>Table 1.</label>
<caption>
<p>Comparison of BLI reporter proteins.</p></caption>
<table frame="hsides" rules="rows">
<thead>
<tr>
<th align="left" valign="bottom"><bold>Reporter</bold></th>
<th align="center" valign="bottom"><bold>Advantages</bold></th>
<th align="center" valign="bottom"><bold>Disadvantages</bold></th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Firefly and click beetle luciferase
<list list-type="bullet">
<list-item>
<p>D-luciferin substrate</p></list-item></list></td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>High sensitivity and low signal-to-noise ratio</p></list-item>
<list-item>
<p>Quantitative correlation between signal strength and cell numbers</p></list-item>
<list-item>
<p>Low background in animal tissues</p></list-item>
<list-item>
<p>Variations of firefly luciferase (stabilized and red-shifted) and click beetle luciferases (red and green) are available</p></list-item>
<list-item>
<p>Different colors allow multi-component monitoring</p></list-item></list></td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Requires exogenous luciferin addition</p></list-item>
<list-item>
<p>Fast consumption of luciferin can lead to unstable signal</p></list-item>
<list-item>
<p>ATP and oxygen dependent</p></list-item>
<list-item>
<p>Currently not practical for large animal models</p></list-item></list></td></tr>
<tr>
<td align="left" valign="top">Renilla and Gaussia luciferase
<list list-type="bullet">
<list-item>
<p>Coelenterazine substrate</p></list-item></list></td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>High sensitivity</p></list-item>
<list-item>
<p>Quantitative correlation between signal strength and cell numbers</p></list-item>
<list-item>
<p>Stabilized and red-shifted Renilla luciferase are available</p></list-item>
<list-item>
<p>Secretion of Gaussia luciferase allows for subject-independent bioluminescence measurement</p></list-item></list></td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Requires exogenous coelenterazine addition</p></list-item>
<list-item>
<p>Low anatomic resolution</p></list-item>
<list-item>
<p>Increased background due to oxidation of coelenterazine by serum</p></list-item>
<list-item>
<p>Oxygen dependent</p></list-item>
<list-item>
<p>Fast consumption of coelenterazine can lead to unstable signal</p></list-item>
<list-item>
<p>Currently not practical for large animal models</p></list-item></list></td></tr>
<tr>
<td align="left" valign="top">Bacterial luciferase</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>High sensitivity and low signal-to-noise ratio</p></list-item>
<list-item>
<p>Quantitative correlation between signal strength and cell numbers</p></list-item>
<list-item>
<p>Fully autonomous system, no requirement for addition of exogenous substrate</p></list-item>
<list-item>
<p>Noninvasive</p></list-item>
<list-item>
<p>Stable signal</p></list-item>
<list-item>
<p>Rapid detection permitting real-time monitoring</p></list-item></list></td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Bioluminescence at 490 nm prone to absorptionin animal tissues</p></list-item>
<list-item>
<p>Low anatomic resolution</p></list-item>
<list-item>
<p>NADPH and oxygen dependent</p></list-item>
<list-item>
<p>Not as bright as other luciferases</p></list-item>
<list-item>
<p>Currently not practical for large animal models</p></list-item></list></td></tr></tbody></table></table-wrap>
<table-wrap id="t2-sensors-11-00180" position="float">
<label>Table 2.</label>
<caption>
<p>Commercial manufacturers of <italic>in vivo</italic> imaging systems.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom"><bold>Company</bold></th>
<th align="center" valign="bottom"><bold>URL</bold></th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Caliper Life Sciences</td>
<td align="left" valign="top"><ext-link xlink:href="http://www.caliperls.com/tech/optical-imaging/" ext-link-type="uri">http://www.caliperls.com/tech/optical-imaging/</ext-link></td></tr>
<tr>
<td align="left" valign="top">Berthold Technologies</td>
<td align="left" valign="top"><ext-link xlink:href="http://www.berthold.com/ww/en/pub/home.cfm" ext-link-type="uri">http://www.berthold.com/ww/en/pub/home.cfm</ext-link></td></tr>
<tr>
<td align="left" valign="top">Carestream</td>
<td align="left" valign="top"><ext-link xlink:href="http://www.carestreamhealth.com/in-vivo-imaging-systems.html" ext-link-type="uri">http://www.carestreamhealth.com/in-vivo-imaging-systems.html</ext-link></td></tr>
<tr>
<td align="left" valign="top">Photometrics</td>
<td align="left" valign="top"><ext-link xlink:href="http://www.photometrics.com/" ext-link-type="uri">http://www.photometrics.com/</ext-link></td></tr>
<tr>
<td align="left" valign="top">Li-Cor Biosciences</td>
<td align="left" valign="top"><ext-link xlink:href="http://www.licor.com/index.jsp" ext-link-type="uri">http://www.licor.com/index.jsp</ext-link></td></tr>
<tr>
<td align="left" valign="top">Cambridge Research &amp; Instrumentation</td>
<td align="left" valign="top"><ext-link xlink:href="http://www.cri-inc.com/index.asp" ext-link-type="uri">http://www.cri-inc.com/index.asp</ext-link></td></tr>
<tr>
<td align="left" valign="top">UVP</td>
<td align="left" valign="top"><ext-link xlink:href="http://www.uvp.com/" ext-link-type="uri">http://www.uvp.com/</ext-link></td></tr></tbody></table></table-wrap>
<table-wrap id="t3-sensors-11-00180" position="float">
<label>Table 3.</label>
<caption>
<p>Selected BLI applications of firefly and Renilla luciferases (FLuc and RLuc).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom"><bold>Applications</bold></th>
<th align="center" valign="bottom"><bold>Examples</bold></th>
<th align="center" valign="bottom"><bold>References</bold></th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Cell trafficking (survival, proliferation, migration, and function) in living animals</td>
<td align="left" valign="top">Stem cells (SCs), such as hematopoietic SCs, embryonic SCs, mesenchymal SCs, bone marrow mononuclear cells, and muscle SCs</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b33-sensors-11-00180">33</xref>–<xref ref-type="bibr" rid="b41-sensors-11-00180">41</xref>,<xref ref-type="bibr" rid="b49-sensors-11-00180">49</xref>,<xref ref-type="bibr" rid="b50-sensors-11-00180">50</xref>,<xref ref-type="bibr" rid="b81-sensors-11-00180">81</xref>,<xref ref-type="bibr" rid="b82-sensors-11-00180">82</xref>]</td></tr>
<tr>
<td align="left" valign="top">Immune effector cells such as cytokine-induced killer cells and NK-T cells</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b42-sensors-11-00180">42</xref>,<xref ref-type="bibr" rid="b43-sensors-11-00180">43</xref>,<xref ref-type="bibr" rid="b45-sensors-11-00180">45</xref>,<xref ref-type="bibr" rid="b51-sensors-11-00180">51</xref>,<xref ref-type="bibr" rid="b53-sensors-11-00180">53</xref>,<xref ref-type="bibr" rid="b55-sensors-11-00180">55</xref>]</td></tr>
<tr>
<td align="left" valign="top">Transplanted tissues</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b46-sensors-11-00180">46</xref>–<xref ref-type="bibr" rid="b48-sensors-11-00180">48</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top">Noninvasive imaging of tumor development</td>
<td align="left" valign="top">Tumor growth, metastasis, and response to therapies</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b25-sensors-11-00180">25</xref>,<xref ref-type="bibr" rid="b55-sensors-11-00180">55</xref>,<xref ref-type="bibr" rid="b83-sensors-11-00180">83</xref>–<xref ref-type="bibr" rid="b90-sensors-11-00180">90</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="13"><italic>In vivo</italic> imaging of gene expression (conditional, spatial, and temporal patterns)</td>
<td align="left" valign="top"><italic>In vivo</italic> control of HIV promoter</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b56-sensors-11-00180">56</xref>]</td></tr>
<tr>
<td align="left" valign="top">HIF-1 transcriptional activity in tumor hypoxia</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b61-sensors-11-00180">61</xref>,<xref ref-type="bibr" rid="b62-sensors-11-00180">62</xref>,<xref ref-type="bibr" rid="b73-sensors-11-00180">73</xref>,<xref ref-type="bibr" rid="b91-sensors-11-00180">91</xref>,<xref ref-type="bibr" rid="b92-sensors-11-00180">92</xref>]</td></tr>
<tr>
<td align="left" valign="top">Hsp70 expression during heat shock and laser irradiation</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b58-sensors-11-00180">58</xref>,<xref ref-type="bibr" rid="b59-sensors-11-00180">59</xref>,<xref ref-type="bibr" rid="b93-sensors-11-00180">93</xref>,<xref ref-type="bibr" rid="b94-sensors-11-00180">94</xref>]</td></tr>
<tr>
<td align="left" valign="top">Cox-2 gene expression</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b63-sensors-11-00180">63</xref>, <xref ref-type="bibr" rid="b64-sensors-11-00180">64</xref>]</td></tr>
<tr>
<td align="left" valign="top">Hes1-Luc expression to assess somite segmentation clock</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b95-sensors-11-00180">95</xref>]</td></tr>
<tr>
<td align="left" valign="top">P53 expression and screening for antitumor compounds</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b96-sensors-11-00180">96</xref>]</td></tr>
<tr>
<td align="left" valign="top">Per2 expression in CNS circadian clock</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b60-sensors-11-00180">60</xref>]</td></tr>
<tr>
<td align="left" valign="top">TGF-β transcriptional activity in breast cancer bone metastasis</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b65-sensors-11-00180">65</xref>]</td></tr>
<tr>
<td align="left" valign="top">GFAP expression in neurological disease</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b66-sensors-11-00180">66</xref>,<xref ref-type="bibr" rid="b67-sensors-11-00180">67</xref>,<xref ref-type="bibr" rid="b97-sensors-11-00180">97</xref>,<xref ref-type="bibr" rid="b98-sensors-11-00180">98</xref>]</td></tr>
<tr>
<td align="left" valign="top">HO-1 expression in hepatic ischemia</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b99-sensors-11-00180">99</xref>]</td></tr>
<tr>
<td align="left" valign="top">TLR2 response in brain injury and inflammation</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b100-sensors-11-00180">100</xref>]</td></tr>
<tr>
<td align="left" valign="top">MYC oncogene inactivation in liver cancer</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b57-sensors-11-00180">57</xref>]</td></tr>
<tr>
<td align="left" valign="top">Smad signaling in injury and neurodegeneration</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b101-sensors-11-00180">101</xref>,<xref ref-type="bibr" rid="b102-sensors-11-00180">102</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="4">Evaluation of gene therapy (gene transfer and expression after delivery) in living animals</td>
<td align="left" valign="top"><italic>In vivo</italic> imaging of hydrodynamically dosed gene transfer</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b68-sensors-11-00180">68</xref>]</td></tr>
<tr>
<td align="left" valign="top"><italic>In utero</italic> delivery of adeno-associated viral vectors</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b69-sensors-11-00180">69</xref>,<xref ref-type="bibr" rid="b103-sensors-11-00180">103</xref>,<xref ref-type="bibr" rid="b104-sensors-11-00180">104</xref>]</td></tr>
<tr>
<td align="left" valign="top">Plasmid-mediated gene therapy for muscular dystrophy</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b70-sensors-11-00180">70</xref>]</td></tr>
<tr>
<td align="left" valign="top">siRNA-mediated gene silencing</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b72-sensors-11-00180">72</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="3">Real-time, <italic>in vivo</italic> monitoring of inflammation and infection</td>
<td align="left" valign="top">Viral infection and evaluation of virus vaccines</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b105-sensors-11-00180">105</xref>–<xref ref-type="bibr" rid="b109-sensors-11-00180">109</xref>]</td></tr>
<tr>
<td align="left" valign="top">Parasitic and fungal infections</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b110-sensors-11-00180">110</xref>–<xref ref-type="bibr" rid="b114-sensors-11-00180">114</xref>]</td></tr>
<tr>
<td align="left" valign="top">Biomaterial-associated infection</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b115-sensors-11-00180">115</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="4">Monitoring protein-protein interaction in living animals</td>
<td align="left" valign="top">CXCR4 and β-arrestin interaction in breast cancer</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b80-sensors-11-00180">80</xref>]</td></tr>
<tr>
<td align="left" valign="top">MyoD-Id protein interaction in living mice</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b24-sensors-11-00180">24</xref>]</td></tr>
<tr>
<td align="left" valign="top">Rapamycin-modulated dimerization of two proteins</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b79-sensors-11-00180">79</xref>]</td></tr>
<tr>
<td align="left" valign="top">Gal4-FLuc transgenic mice as universal reporters for protein-protein interaction (e.g., p53 and large T antigen)</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b116-sensors-11-00180">116</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="5">Monitoring protein stability and function <italic>in vivo</italic></td>
<td align="left" valign="top">Complementation Luc reporter to detect caspase-3 activity and monitoring of apoptosis</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b76-sensors-11-00180">76</xref>,<xref ref-type="bibr" rid="b77-sensors-11-00180">77</xref>]</td></tr>
<tr>
<td align="left" valign="top">Proteasome activity and proteasome inhibitor screening</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b75-sensors-11-00180">75</xref>]</td></tr>
<tr>
<td align="left" valign="top">Furin (an endoprotease) activity in breast cancer</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b117-sensors-11-00180">117</xref>]</td></tr>
<tr>
<td align="left" valign="top">Complementation Luc assay to detect hepatitis C virus NS3/4A serine protease activity <italic>in vivo</italic></td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b78-sensors-11-00180">78</xref>]</td></tr>
<tr>
<td align="left" valign="top">Complementation Luc assay to assess HIF-1α stability and function in tumor hypoxia</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b118-sensors-11-00180">118</xref>]</td></tr></tbody></table></table-wrap>
<table-wrap id="t4-sensors-11-00180" position="float">
<label>Table 4.</label>
<caption>
<p>Selected BLI applications of bacterial luciferase (Lux).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom"><bold>Organism</bold></th>
<th align="center" valign="bottom"><bold>Application</bold></th>
<th align="center" valign="bottom"><bold>References</bold></th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Human embryonic kidney (HEK293) cells</td>
<td align="left" valign="top">Whole animal imaging</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b119-sensors-11-00180">119</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="4"><italic>Escherichia coli</italic></td>
<td align="left" valign="top">Detection of <italic>E. coli</italic> O157:H7 in food and water</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b120-sensors-11-00180">120</xref>]</td></tr>
<tr>
<td align="left" valign="top"><italic>In vivo</italic> imaging of <italic>E. coli</italic> colonization in mice</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b121-sensors-11-00180">121</xref>]</td></tr>
<tr>
<td align="left" valign="top">Screening for interaction between antibiotics</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b122-sensors-11-00180">122</xref>]</td></tr>
<tr>
<td align="left" valign="top"><italic>In vivo</italic> imaging of <italic>E. coli</italic> in wound infections</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b123-sensors-11-00180">123</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="3"><italic>Salmonella</italic></td>
<td align="left" valign="top">Monitoring the role of nitric oxide in tumor therapy</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b124-sensors-11-00180">124</xref>]</td></tr>
<tr>
<td align="left" valign="top">Noninvasive imaging of <italic>Salmonella</italic> invasion</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b125-sensors-11-00180">125</xref>–<xref ref-type="bibr" rid="b128-sensors-11-00180">128</xref>]</td></tr>
<tr>
<td align="left" valign="top">Testing the susceptibility of neonate to vaccine</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b129-sensors-11-00180">129</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top"><italic>Pseudomonas aeruginosa</italic></td>
<td align="left" valign="top"><italic>In vivo</italic> imaging of <italic>P. aeruginosa</italic> wound infection and evaluation of treatment</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b130-sensors-11-00180">130</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="2"><italic>Streptococcus pneumoniae</italic></td>
<td align="left" valign="top">Real-time monitoring of the pharmacodynamics of gemifloxacin</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b131-sensors-11-00180">131</xref>]</td></tr>
<tr>
<td align="left" valign="top">Monitoring pneumococcal infection in the lungs of live mice</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b132-sensors-11-00180">132</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="4"><italic>Staphylococcus aureus</italic></td>
<td align="left" valign="top">Monitoring of <italic>S. aureus</italic> infection in living mice</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b133-sensors-11-00180">133</xref>]</td></tr>
<tr>
<td align="left" valign="top">Noninvasive monitoring of bacterial contamination on biomaterial surfaces and the related immune response</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b134-sensors-11-00180">134</xref>]</td></tr>
<tr>
<td align="left" valign="top">Assessing efficacy of antibiotics against bacterial biofilm formation in live mice</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b135-sensors-11-00180">135</xref>]</td></tr>
<tr>
<td align="left" valign="top">Visualization of intracellular <italic>S. aureus</italic> replication and response to antibiotic treatment</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b136-sensors-11-00180">136</xref>]</td></tr>
<tr>
<td align="left" valign="top"><italic>Listeria monocytogenes</italic></td>
<td align="left" valign="top">Monitoring infection over time, visualization of bone narrow as a niche for <italic>L. monocytogenes</italic> during the latent period</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b137-sensors-11-00180">137</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top"><italic>Bifidobacterium breve</italic> UCC2003</td>
<td align="left" valign="top">Tracking <italic>Bifidobacterium</italic> in mice <italic>in vivo</italic></td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b138-sensors-11-00180">138</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top"><italic>Bacillus anthracis</italic></td>
<td align="left" valign="top"><italic>In vivo</italic> monitoring of <italic>B. anthracis</italic> spore germination in mice</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b139-sensors-11-00180">139</xref>]</td></tr>
<tr>
<td colspan="3" align="left" valign="top">
<hr/></td></tr>
<tr>
<td align="left" valign="top"><italic>Yersinia enterocolitica</italic></td>
<td align="left" valign="top"><italic>In vivo</italic> assessment of <italic>Y. enterocolitica</italic> colonization and infection</td>
<td align="left" valign="top">[<xref ref-type="bibr" rid="b140-sensors-11-00180">140</xref>]</td></tr></tbody></table></table-wrap></sec></back></article>
