Next Article in Journal
Modelling the Encapsulation of 3-Hydroxyflavone with Cyclodextrin and Octa Acid and Comparing Their Differences
Next Article in Special Issue
Dextran-Cholesterol Carrier Encapsulated Efficient Photosensitizer for the Photodynamic Killing of Cancer Cells
Previous Article in Journal
Cytotoxic Activity, Topoisomerase I Inhibition and In Silico Studies of New Sesquiterpene-aryl Ester Derivatives of (-) Drimenol
Previous Article in Special Issue
Quinoline-Malononitrile-Based Aggregation-Induced Emission Probe for Monoamine Oxidase Detection in Living Cells
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Molecules
Volume 28
Issue 9
10.3390/molecules28093962
molecules-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Mitochondria-Targeted Fluorescent Nanoparticles with Large Stokes Shift for Long-Term BioImaging

by
Xiao Li
1,
Tao Zhang
1,
Xuebo Diao
2,
Li Yu
3,
Yue Su
4,
Jiapei Yang
4,
Zibo Shang
5,
Shuai Liu
1,
Jia Zhou
6,
Guolin Li
1,7,* and
Huirong Chi
7,*
1
Key Laboratory of Microecology-Immune Regulatory Network and Related Diseases, School of Basic Medicine, Jiamusi University, Jiamusi 154000, China
2
Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin 150081, China
3
Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
4
School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
5
Faculty of Science, University of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada
6
Department of Radiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai 200233, China
7
Department of Stomatology, Shanghai Eighth Peoples Hospital, 8 Caobao Road, Shanghai 200000, China
*
Authors to whom correspondence should be addressed.
Molecules 2023, 28(9), 3962; https://doi.org/10.3390/molecules28093962
Submission received: 7 March 2023 / Revised: 2 May 2023 / Accepted: 6 May 2023 / Published: 8 May 2023
(This article belongs to the Special Issue Aggregation-Induced Emission: From Fundamental to Application)
Browse Figures
Review Reports Versions Notes

Abstract

:
Mitochondria (MITO) play a significant role in various physiological processes and are a key organelle associated with different human diseases including cancer, diabetes mellitus, atherosclerosis, Alzheimer’s disease, etc. Thus, detecting the activity of MITO in real time is becoming more and more important. Herein, a novel class of amphiphilic aggregation-induced emission (AIE) active probe fluorescence (AC-QC nanoparticles) based on a quinoxalinone scaffold was developed for imaging MITO. AC-QC nanoparticles possess an excellent ability to monitor MITO in real-time. This probe demonstrated the following advantages: (1) lower cytotoxicity; (2) superior photostability; and (3) good performance in long-term imaging in vitro. Each result of these indicates that self-assembled AC-QC nanoparticles can be used as effective and promising MITO-targeted fluorescent probes.

1. Introduction

Mitochondria, as the powerhouses inside the cells, play a significant role in various physiological processes such as cell information transmission, cell differentiation, and apoptosis [1,2,3,4]. Mitochondria are also key regulators of the host response to viral infection, inflammation, and immunity, and this is critically exemplified during infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, MITO is a key organelle related to different human diseases including cancer, diabetes mellitus, atherosclerosis [5], Alzheimer’s disease [6], etc. The number and distribution of mitochondria in cells have been shown to be closely related to the process of cancer cell metastasis and normal cell apoptosis.
Therefore, it is urgent to engineer a method that is suitable for visualizing MITO. Various imaging methods have evolved, such as fluorescence visualization, Raman scattering imaging, magnetic resonance imaging, photoacoustic imaging, ultrasound imaging, X-ray radiography, and positron emission tomography. Among them, fluorescence methods are widely used by virtue of their simplicity, non-invasiveness, great sensitization, and high spatiotemporal resolution [7,8,9,10,11]. So far, different sorts of fluorescent probes have been evolved for visualizing MITO [12,13,14,15,16,17,18,19,20,21,22], such as Rhodamine 123, MitoTrackers, MitoTrackers Red CMXRos, Green FMs, and MitoTrackers Orange CMTMRos. However, conventional fluorescent probe applications have been restricted by non-specific binding, photobleaching, poor photostability, cytotoxicity, spectral over-lap with bio substrate autofluorescence, and inherent fluorescence quenching (under the circumstance of aggregation in the aqueous medium). Some fluorescent probes may be toxic to cells at high concentrations, leading to cell death and inaccurate results. Many fluorescent probes can bind to cellular components other than mitochondria, leading to non-specific staining and inaccurate results. Fluorescent probes can be susceptible to photobleaching, a process where the fluorescence signal decreases over time due to prolonged exposure to light. This can limit the duration of imaging and make it difficult to obtain accurate results. Photobleaching can also result in a decreased signal-to-noise ratio, making it challenging to distinguish the fluorescent signal from the background noise. Even though more fluorogenic substances transformed into a synthetic polymer microsphere via an elaborate control, the aggregation-caused quenching (ACQ) issue hampers the manufacture of polymer beads with highly emissive features. Further for an ideal fluorescent probe, a large Stokes shift (typically over 80 nm) is generally favorable to minimize the cross-talk between the excitation source and fluorescence emission [23,24]. Nevertheless, typical organic dyes, such as boron-dipyrromethene or phthalocyanine, tend to perform undesirable background interference exhibits, because of small Stokes shifts (≈7 to 20 nm), which partially reabsorb emitted photons [25]. Although an energy transfer strategy is probably introduced between these fluorophores to enlarge the gap between excitation and emission wavelengths, the entire system tends to be structurally complicated, coupled with necessary laborious synthetic exerts [26,27,28]. In contrast to conventional fluorescent dyes with the fluorescence of ACQ, aggregation-induced emission (AIE) fluorophores are capable to work as an ideal “turn-on” fluorescent probe for bioanalysis, since they exhibit shining fluorescence in the aggregated state while very weak fluorescence in a good solvent [29,30,31,32,33,34,35,36,37,38,39]. Admittedly, AIE luminous materials partially address the issue that existed in conventional dyes, paving the way for a new AIE fluorescent probe development with optimistic characteristics for bioimaging. However, a limited application is observed in tracking biological processes and pathological pathways over long periods. This lies in the fact that most currently existing AIE probes exhibit small Stokes shifts and lack specific organelle-targeting capacity. Moreover, their application in tracking biological processes and pathological pathways over a long period of time is limited.
To meet these challenges, we constructed an AIE-active fluorescent probe (QC) with superior photostability and large Stokes shift, which can be employed for monitoring vesicular transportation and long-term noninvasive imaging. This high-performance AIE-active fluorescent probe was designed and synthesized using a quinoxalinone scaffold as the chromophore core. In contrast to previous AIE-active fluorescent probes reported [33,40,41,42,43,44,45,46,47,48,49], quinoxalinone-based AIE-active fluorescent probes possess a long emission wavelength because of the broad absorption wavelength of the quinoxalinone scaffold. Afterward, AIE-active QC was then conjugated to the mitochondria-targeted peptides [50] Ac-Lys- (D-Arg)- (Cha)- (D-Arg)- (Cha)- (D-Arg)- (Cha)- (D-Arg) (AC) to enhance solubility and transmit the capacity of a targeting organelle (Figure 1), resulting in a conjugate derivative named AC-QC. Owing to the amphiphilic feature of the AC-QC conjugate, when AC-QC conjugate was dispersed in an aqueous solution, the advent of self-assembly was recognized as the formation of nanoparticles with hydrophilic peptide groups topping at the surfaces. The hydrophobic AIE components were simultaneously aggregated into the cores, leading to the high dispersibility of these obtained AC-QC nanoparticles in an aqueous environment. The surface peptide could become MITO-targeted, and the AIE molecule inside the nanoparticle could achieve noninvasive long-term imaging under light illumination.

2. Results

2.1. Development and Depiction of AIE Dye (QC)

QC chemical formula was validated by 1H NMR, 13C NMR (Supporting Information Figure S3), and FTIR measurements (Figure 2A). As shown in Figure 2A, the peaks at 1657 cm−1 referred to the stretching vibration of C=O; the peaks at 1621 and 1604 cm−1 could be assigned to the stretching vibration of C=C; and the peaks at 1575 and 1535 cm−1 were attained through the stretching vibration of C=N. QC excitation and emission spectra in different organic solvents were estimated with peaks centered at about 410 and 520 nm, respectively (Figure 2B). QC excitation and emission spectra in PBS solvents were estimated with peaks centered at about 394 and 524 nm (Figure 2D). The peaks of excitation and emission spectra did not change in different solvents. Subsequently, the AIE was characterized in mixed solvents of Gly/MeOH with MeOH fraction ranging from 0% to 90%. Specifically, when the methyl alcohol concentration elevated, the intensity of absorption of QC significantly declined because of its hydrophobic characteristics and the production of aggregates. Notably, the fluorescence intensities of QC were markedly improved at a simultaneous formation of aggregates, exhibiting green in an AIE-active characteristic (Figure 2C). Thereupon, we inferred that QC may serve as a potential fluorescent probe for bioimaging based on these optical properties.
Figure 2E depicts the absorption peak of the UV–vis spectrum of QC in DMSO. The 425 nm absorption band is the result caused by a p–p* transition of the conjugated backbone. In comparison, the broad absorption from 280 to 450 nm originates through charge transfer between the fluorene (donor) units and the thiadiazoloquinoxaline.

2.2. Development and Depiction of AC-QC Nanoparticles

Given the amphiphilic feature of the AC-QC conjugate, self-assembly occurred to form nanoparticles (with a cover of hydrophilic peptide groups at the surfaces) when AC-QC conjugate was dispersed in an aqueous solution. Furthermore, the hydrophobic AIE components were aggregated into the cores, leading to the high dispersibility of these obtained AC-QC nanoparticles in an aqueous environment. The morphology and size of AC-QC nanoparticles were specified by dynamic light scattering (DLS) and transmission electron microscopy (TEM). According to Figure 3B, the distribution size histogram demonstrates a unimodal distribution, and the mean hydrodynamic diameter is 122.4 nm with a PDI of 0.247. Some spherical nanoparticles could be clearly recognizable, which indicated the AC-QC nanoparticles from the self-assembly of the AC-QC conjugate. The TEM average diameter of the AC-QC nanoparticles as defined utilizing Image J is 110 nm (Figure 3A and Supporting Information Figure S9) [51], identical to that indicated by DLS measurement. It was noteworthy that the particle size characterized by TEM was to some extent smaller compared to the size distribution in PBS, which might be attributed to the drying-induced shrinkage of the self-assembly process. The molecular weight of the AC-QC conjugate was determined through mass spectrometry (MS). MS: m/z (ESI) calculated for C84H130N24O14 [M-H], 1700.08, found 1699.8 (Supporting Information Figure S5). AC-QC excitation and emission spectra in DMSO solvents were estimated with peaks centered at about 407 and 488 nm. AC-QC excitation and emission spectra in PBS solvents were estimated with peaks centered at about 394 and 524 nm (Figure 3C). The absorption peak of the UV–vis spectrum of AC-QC in DMSO is shown in Supporting Information Figure S8.

2.3. In Vitro Cell Toxicity

The nanoparticle cytotoxicity of AC-QC against IOSE-80 and L929 cells was evaluated by using the standard MTT assay (Figure 4 and Supporting Information Figure S10). The concentration impact of AC-QC nanoparticles on the overgrowth of IOSE-80 and L929 cells is indicated in Figure 4. The AC-QC nanoparticle showed low cell cytotoxicity at both low (10 μg/mL) concentration and high concentration (100 μg/mL). The MTT outcome showed that the IOSE-80 and L929 remain higher than 80% at the maximum micelle concentration (100 μg/mL). All results showed that AC-QC nanoparticle was noncytotoxic to living cells under our cell-imaging conditions. Since AC-QC nanoparticles reveal lower cell toxicity to the IOSE-80 and L929 cells, they can be used as a fluorescent probe for bioanalysis.

2.4. Colocalization Study

Based on the existing self-assembled AC-QC nanoparticles, confocal imaging-based colocalization investigations were conducted by including the cells with AC-QC nanoparticles and different organelle trackers. By this means, the location of nanoparticles inside the cells was supposed to be identified. At the beginning stage, the location of AC-QC nanoparticles in cells was investigated by a MITO tracker. L929 cells were consequently preserved with AC-QC nanoparticles (10 μg/mL) for 4 h. Then, the MITO tracker (1 × 10−6 M) was added to the culture media, allowing a 30 min incubation. At this stage, the fluorescence (green) of the AC-QC nanoparticles overwhelmed that of the MITO tracker (red fluorescence), with a Pearson correlation coefficient (PC) value of up to 0.9011 ± 0.05 (Figure 5A). On the contrary, the nanoparticle-based probe could not label the endoplasmic reticulum (ER), Golgi apparatus (GOLI), lysosome (LYSO), or nuclei, with PC values of 0.2184 ± 0.03, 0.2934 ± 0.05, 0.2526 ± 0.02, and 0.2127 ± 0.02, respectively, showing a more desirable capacity of AC-QC for MITO staining (Figure 5). In addition, AC-QC nanoparticles also exhibited the same MITO-targeting capacity for other cell lines, such as IOSE-80 cells (Figure 5B). These results validated our hypothesis that AC-QC nanoparticles were potentially an excellent probe to monitor MITO in real time. Moreover, this could indicate that the living cell membrane is permeable to AC-QC nanoparticles.

2.5. Photostability of AC-QC Nanoparticles

The light stability of probes is one of the most important indexes to evaluate the performance of the probes. To further validate the potential of AC-QC nanoparticles to serve as a stable imaging agent in a biological environment, AC-QC nanoparticles’ photostability was assessed under different conditions. First, we investigated its photostability by comparing the MITO staining of IOSE-80 cells, at which stage AC-QC nanoparticles (bottom) and a commercially available MITO tracker (upper) were used under continuous light irradiation for 20 min. It could be assumed that a great fluorescence signal in terms of the AC-QC nanoparticle probe (10 μg/mL) could be detected with insignificant signal decay through the irradiation (Figure 6). In contrast, the fluorescence intensity of the MITO tracker reduced at a noticeable rate and became insignificant after 10 min irradiation owing to the photobleaching (Figure 6). The good photostability could support much more working time for the AC-QC nanoparticles under a laser source. Because of the superior photostability of AC-QC nanoparticles, we then explored their in vitro long-term imaging capacity. IOSE-80 cells were initially incubated with AC-QC nanoparticles (10 μg/mL) at 37 °C for 4 h (Labeled as Day 0, generation one). Then, the treated cells were subcultured by specified time intervals (24 h) and the fluorescence signals were imaged (Day 3, generations one to four). In the following stage, the culture medium was removed for each cell passage by rinsing the cells twice with ice-cold PBS. In the preliminary phase (Labeled as Day 0, generation one), the AC-QC nanoparticles’ bright green fluorescence signal was observed (Figure 7). With an increased incubation time (Day 1 to 3, generation two to three, respectively), green fluorescence reduces progressively corresponding to cell proliferation. The AC-QC nanoparticles were divided into daughter cells. On the other hand, the green signal was still observable after 3 d (the third generation) (Figure 7), appearing as a striking contrast to the MITO tracker, which showed that the AC-QC nanoparticles could function as a fluorescent probe for long-term tracing and imaging of cells. Moreover, the absorbance and fluorescence of AC-QC nanoparticles and the MITO tracker upon the irradiation were quantified (Supporting Information Figures S11 and S12).AC-QC nanoparticles are highly photostable and exhibit a much higher photostability than the commercialized MitoTracker, which is critical for building smarter fluorescent probes to ensure long time imaging.

3. Discussion

MITO is a key biomarker related to different human diseases of cancer, diabetes mellitus, atherosclerosis, Alzheimer’s disease, etc. Hence, detecting the activity of MITO in real time is becoming more and more important. As is presented, the fluorescence intensities of QC were enhanced at a considerable rate when aggregates formed, with an exhibition of green in an AIE-active manner. Subsequently, we successfully synthesized an AC-QC conjugate. Owing to the amphiphilic feature of the AC-QC conjugate, when the AC-QC conjugate was dispersed in an aqueous solution, self-assembly occurred to form nanoparticles with hydrophilic peptide groups covered at the surfaces, while the hydrophobic AIE components were aggregated into the cores, leading to MITO being targeted. It can be thusly inferred that AC-QC may serve as an ideal fluorescent probe for bioimaging based on these optical properties. The MTT result indicates that the IOSE-80 and L929 cell viability is still higher than 80%, even at the highest micelle concentration (100 μg/mL). Since AC-QC nanoparticles reveal low cytotoxicity to the IOSE and L929 cells, they can be employed as a fluorescent probe for bioanalysis. The colocalization study indicates that AC-QC has good MITO staining capacity. These results validated our hypothesis that AC-QC nanoparticles could act as an excellent probe to monitor MITO in real time. For the AC-QC nanoparticle probe (10 μg/mL), strong fluorescence signals could be observed with almost no signal decay under continuous light irradiation for 20 min. The result shows that the nanoparticles present an ideal photobleaching resistance, as the green signal can still be observed after 3 d (the fourth generation), appearing as a stark contrast to the MITO tracker, which indicates that the AC-QC nanoparticles can act as a fluorescent probe for long-term cellular tracing and imaging. All of these results demonstrate that the self-assembled AC-QC nanoparticles can be used as effective and promising MITO-targeted fluorescent probes.

4. Materials and Methods

4.1. Development of AIE Dye (QC)

The QC synthetic route was demonstrated in Scheme 1.
The 4-methoxy-o-Phenylenediamine (0.1 mol, 10.8 g), suspended in 150 mL of anhydrous ethanol, formed a combination, which was cooled in an ice bath sequentially. Afterward, a solution of ethyl pyruvate (0.12 mol, 13.92 g) in 10 mL of anhydrous ethanol was added by dropping over 20 min under stirring. The reaction of the resulting solution lasted for 12 h under room temperature, allowing precipitate to form. After filtering, the precipitate was washed via ethanol, and dried through the vacuum to give the product 7-methoxy-3-methylquinoxaline-2 (1H)-one (compound 3) (13.6 g, yield: 85%) as a yellow solid without purification. 1H NMR (400 MHz, CDCl3): δ = 12.18 (s, 1H), 7.57 (d, J = 8.0 Hz, 1H), 6.83–6.86 (m, 1H), 6.70–6.72 (m, 1H), 3.78 (s, 3H), 2.32 (s, 3H) ppm; ESI-MS m/z: calculated for C10H10N2O2 [M + 1]+ 190.2, found 190.2.
Compound 3 (52.6 mmol, 10 g) and K2CO3 (78.9 mmol, 10.9 g) were immersed in acetone (100 mL), and a 3-bromoprop-1-ene (63.1 mmol, 7.6 g) solution was supplemented drop-wise. The combination was oil-bathed at 62 °C with stirring for 12 h. The obtained solvent was extracted by use of a rotary evaporator, and the leftover material was separated between distilled water (20 mL) and ethyl acetate (EA) (40 mL). The organic layer was separated and dried over anhydrous MgSO4, filtered, and concentrated in a rotary evaporator to obtain a crude by-product, which underwent a filter through chromatography with silica gel (hexane: EA = 20:1, v:v), to afford 10.1g of 5 as a yellow solid, yielding 83.4%.1H NMR (400 MHz, CDCl3): δ = 7.71 (d, J = 8.0 Hz, 1H), 6.90 (d, J = 8.0 Hz, 1H), 6.70 (s, 1H), 5.99–5.85 (m, 1H), 5.28 (d, J = 12 Hz, 1H), 5.18 (d, J = 12 Hz, 1H), 4.85–4.88 (m, 2H), 3.88 (s, 3H), 2.55 (s, 3H) ppm; HRMS: m/z (ESI) computed for C13H12N2O2 [M + 1]+ 231.1055, retrieved 231.1118.
A solution of compound 5 (6.51 mmol, 1.5 g) in acetic acid (15 mL) was supplemented with N- (4-formyl phenyl) acetamide (3 mmol, 1.28 g) and concentrated sulfuric acid as a catalyst. The acquired solution was warmed up to 50 °C and allowed 8 h for reaction; thereafter, a mixture as output was concentrated in a rotary evaporator, with water (20 mL) and ethyl acetate (50 mL) supplemented in the process. Aside from collecting the organic layer, the watery phase was basified with K2CO3 and attained with ethyl acetate, and the dehydration of the combined organic phase was performed using anhydrous MgSO4, and filtration was performed by silica chromatography (Di-chloromethane (DCM): Methanol = from 20:1 to 10:1) to yield 1.51 g of 7 as a red solid, yield: 61.6%. 1H NMR (400 MHz, CDCl3): δ = 8.45–8.42 (m, 1H), 7.74–7.67 (m, 2H), 7.60–7.36 (m, 3H), 7.35–7.25 (m, 2 H), 7.11–6.95 (m, 1H), 6.05–5.94 (m, 1H), 5.30 (d, J = 12.0 Hz, 1H), 5.21 (d, J = 12.0 Hz, 1H), 4.85–4.98 (m, 2H), 3.91 (s, 3H), 2.16 (s, 3H) ppm; HRMS: m/z (ESI) computed for C22H22N3O3 [M + 1]+ 376.1661, discovered 376.1658.
A solution of compound 7 (2.66 mmol, 1 g, 1.0 eq) in Dichloromethane (15 mL) at −40 °C was added drop-wise 3 equivalents of 1M BBr3 (7.98 mmol, 8 mL, 3.0 eq) to dichloromethane. Sequentially, the combination was blended at room temperature for 12 h. Upon the reaction accomplishment, as determined through thin-layer chromatography (TLC), flowed into ice, and the aqueous portion was attained with EtOAc and dried. It was further purified by column chromatography eluted with (Dichloromethane (DCM): Methanol = from 100:1 to 20:1, v:v) to obtain 0.49 g of compound 8 as a red solid, yield: 51.0%. 1H NMR (400 MHz, CD3OD): δ = 8.72–8.69 (m, 1H), 7.77–7.72 (m, 5H), 7.59–7.56 (m, 2H), 7.31–7.26 (m, 1 H), 6.05–5.96 (m, 1H), 5.40 (d, J = 12.0 Hz, 1H), 5.31 (d, J = 12.0 Hz, 1H), 5.23–5.12 (m, 2H), 2.17 (s, 3H) ppm; HRMS: m/z (ESI) calculated for C21H20N3O3 [M + 1]+, 362.1505, found 362.1501
Compound 8 (1.0 mmol, 375 mg) and K2CO3 (1.5 mmol, 215 mg) were suspended in acetone (20 mL). Then, (E)-4-bromobut-2-enoic acid (1.2 mmol, 207 mg) solution was supplemented drop-wise into the combination, which was stirred in the process of an oil bath at 62 °C for 12 h. After the reaction, the solvent was removed by use of rotary evaporator, and the leftover was partitioned between distilled water (20 mL) and ethyl acetate (EA) (40 mL); thereafter, the organic layer was divided and dehydrated through anhydrous MgSO4, and a crude product was filtered, concentrated using a rotary evaporator, and then purified with silica gel chromatography ((Dichloromethane (DCM): Methanol = from 100:1 to 20:1, v:v)) to afford 110.6 mg of the compound 9 as a red solid, yield: 35%.1H NMR (400 MHz, CD3OD): δ = 8.04–8.01 (m, 1H), 7.73–7.66 (m, 2H), 7.64–7.61 (m, 3H), 7.48–7.44 (m, 1 H), 7.24–7.22 (m, 1H), 7.14–7.08 (m, 1H), 6.09–5.99 (m, 1H), 5.49 (s, 1H), 5.38–5.31 (m, 1H), 5.25–5.19 (d, J = 12.0 Hz, 1H), 5.14–5.07 (m, 1H), 4.03–3.94 (m, 2H), 3.35 (s, 3H), 2.15 (s, 3H) ppm; HRMS: m/z (ESI) calculated for C26H26N3O5 [M + 1]+, 460.1872, found 460.1863 (Supporting Information Figure S1 and S2).
Compound 9 (0.218 mmol, 100 mg, 1.0eq) was immersed in methanol (5 mL). Then, a sodium hydroxide aqueous solution (0.4 mL, 1mol/L in water, 2.0eq) was supplemented drop-wise in the combination, which was blended at 25 °C for 12 h. The solvent was extracted through rotary evaporation after completing the reaction, and the leftover was partitioned among 10 mL of distilled water and ethyl acetate (EA) (10 mL). The organic layer was divided, dehydrated with anhydrous MgSO4, filtered, and concentrated using a rotary evaporator to retrieve a crude product that was then exposed to purification using silica gel chromatography (Dichloromethane (DCM): Methanol = from 80:1 to 10:1, v:v) to afford 63 mg of the compound 10 (QC) as a red solid, yield 65%. 1H NMR (400 MHz, DMSO): δ = 9.32 (m, 1H), 7.70–7.60 (m, 1H), 7.51–7.42 (m, 1H), 7.39–7.21 (m, 3 H), 6.72–6.42 (m, 3H), 6.36–6.19 (m, 1H), 5.68–5.55 (m, 1H), 5.04–4.78 (m, 3H), 4.63–4.49 (m, 2H), 2.99–2.89 (m, 2H), 2.26 (s, 3H). HRMS: m/z (ESI) computed for C25H24N3O5 [M + 1]+ 446.4830, retrieved 446.1709 (Supporting Information Figure S4).

4.2. Production of AC-QC Nanoparticles

The synthetic pathway of AC-QC nanoparticles was demonstrated in Scheme 2.
To prepare AC-QC, QC (compound 10) and AC (compound 11) were conjugated together in a DMSO/water cosolvent, as described below. (The ratio of DMSO to distilled water in the cosolvent was 1:9). AC powder (6.4 mg) was dissolved in phosphate-buffered saline (PBS) (pH = 7.4, 9 mL). QC (2.23 mg) was dissolved in DMSO (1 mL), followed by the addition of the equivalent of NHS (0.57 mg) and EDC (0.95 mg) about QC. The AC and QC solutions were allowed to dissolve completely, and the reaction mixture was gently stirred for 1 day. The reaction-obtained mixture was dialyzed for 3 days (MWCO =1.0 KDa) against methanol and distilled water to remove unconjugated QC and DMSO. Furthermore, throughout the process, the water was replaced every 4 h. The crude product was further separated via the preparative liquid chromatography and then lyophilized to produce 6.37 mg of compound 12 (AC-QC) as a red solid powder, yielding 73.8%.

4.3. Absorption Spectra

At room temperature (RT), the absorption spectra were estimated with a UV–visible spectrophotometer at 200–800 nm. The probe QC (1 mL, 0.01 mM) was supplemented to 1.5 mL cuvettes, and their respective absorption spectroscopy was estimated in DMSO solution.

4.4. Fluorescence Analysis

The stock of fluorescent dye QC used for fluorescence spectral analysis was prepared in DMSO, THF, and Gly. The preparation was diluted to 0.01 mM in DMSO, THF, and Gly solution and was separately added to the 4 mL cuvettes, and the fluorescence intensity of the mixture was measured at λex = 410 nm.
After production, its optical features were described in mixed solutions with different ratios of glycerin/methyl alcohol (Gly/MeOH).

4.5. Cell Culture and Internalization

L929 cells (mouse fibroblast cell line) and IOSE-80 cells (human ovarian cell line) were purchased from ATCC (American Type Culture Collection). Initially, L929 cells and IOSE-80 cells were cultured in a culture dish, on the condition of 37 °C with 5% CO2 in Dulbecco’s modified Eagle medium (DMEM), 10% fetal bovine serum (FBS), and 1% antibiotics (100 units per mL streptomycin and 100 units per mL penicillin). After culturing for 12 h, DMEM was removed, and three times as many of the cells were rinsed with phosphate-buffered saline (PBS) buffer.

4.6. Cytotoxicity Measurements

An MTT (3-(4,5)-dimethylthiahiazo (-2-yl)-3,5-diphenytetrazolium bromide) viability assay against IOSE-80 and L929 cells was performed to determine the cytotoxicity of AC-QC nanoparticles. In 96-well plates, the cells were cultured with a density of 104 cells in 200 μL DMEM in each well. After 12 h, 10 μL of PBS solution of AC-QC nanoparticles with different concentrations were supplemented to the wells, and were allowed another 24 h or 48 h to culture. A 20 μL MTT assay stock solution of 5 mg mL−1 was added afterward. Sequentially, the solution was removed and 200 μL DMSO was added after 4 h. After 10 min vibrating, a BioTek Synergy H4 instrument was used for estimating the wavelength absorbance of the solution at 490 nm.

4.7. Confocal Imaging of QC and AC-QC in Living Cells

The IOSE-80 and L929 cells with good cell viability were inoculated in AC-QC nanoparticles (10 μg/mL) at 37 °C for 4 h and then washed thrice via PBS buffer at pH 7.4. The fluorescent images were obtained via a microscope with a confocal fluorescence feature (Leica SP8) utilizing an objective lens (×20). The excitation wavelength was 405 nm when the cells were incubated with AC-QC nanoparticles, while 503 nm when the incubation of cells was performed with various organelle trackers. The fluorescent images were analyzed using Image J [51,52].

5. Conclusions

As has been mentioned, QC, a novel AIE fluorescent dye, was designed and synthesized. The quinoxalinone’s fluorophore is conducive to the dye for presenting excellent properties in chemical stability, superior photostability, and large Stokes shift. Then, MITO-targeting AC-QC nanoparticles were designed and synthesized. Due to the amphiphilic feature of the AC-QC conjugate, when dispersed in an aqueous solution, it self-assembles to form nanoparticles coated with hydrophilic peptide groups, while hydrophobic AIE components aggregate into the core, achieving MITO targeting of AC-QC nanoparticles in aqueous environments. AC-QC nanoparticles have a good performance of MITO targeting and can visualize the mitochondria in viable cells with good biocompatibility. Meanwhile, strong fluorescence signals could be observed during long-time irradiation of AC-QC nanoparticles, showing the strong photostability and the good ability of long-term imaging in vitro. These results confirm that AC-QC nanoparticles are a better mitochondrial probe for confocal microscopic imaging of living cells than the commercial dye MitoTracker. These findings suggest that AC-QC nanoparticles can function as a potent tool to observe MITO in biological samples and show great essential application in the biomedical branch.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/1420-3049/28/9/3962/s1, Figure S1. 1H NMR spectra of Compound 7 (A), Compound 8 (B) and Compound 9 (C). Figure S2. MS spectra of Compound 7 (A), Compound 8 (B) and Compound 9 (C). Figure S3. 1H NMR spectra of QC (A). 13C NMR spectra of QC (B). Figure S4. HRMS spectra of QC. Figure S5. MS spectra of AC-QC nanoparticles. Figure S6. HPLC spectra of AC peptide (A) and AC-QC (B). Figure S7. MS spectra of AC peptide. Figure S8. AC-QC conjugate of UV–vis absorption spectra in DMSO. Figure S9. The size distribution of TEM. Figure S10. Relative cell viability of IOSE-80 cells (A) and L929 cells (B) against nanoparticle solution after cultured for 72 h with different nanoparticle concentrations. Figure S11. Time-dependent peak fluorescence intensity of MITO Tracker and AC-QC nanopatticle after 20 min irradiation. Data represent mean values ± standard deviation, n = 3, the statistical significance level is *** p < 0.001. All experiments were carried out three times independently. Figure S12. Long-term peak fluorescence intensity of MITO Tracker and AC-QC nanopatticle at 37 °C for 4 h and subculture for various time intervals from day 0 to day 3. Data represent mean values ± standard deviation, n = 3, the statistical significance level is *** p < 0.001.The experiment was carried out three times independently.

Author Contributions

Conceptualization, X.L. and T.Z.; methodology, L.Y.; software, Z.S.; validation, H.C. and S.L.; formal analysis, X.D.; investigation, X.L.; resources, Y.S. and J.Z.; data curation, X.L.; writing—original draft preparation, X.L.; writing—review and editing, J.Y.; visualization, X.L.; supervision, Y.S.; project administration, G.L.; funding acquisition, G.L.; X.L., T.Z. and X.D. are joint first authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by [Natural Science Foundation of Shanghai] grant number [19ZR1438300], [Sub project of the Star of Jiaotong University Program of Shanghai Jiaotong University] grant number [21X010301644], [The Star of Jiaotong University Program of Shanghai Jiaotong University] grant number [YG2021QN95], [National Natural Science Foundation of China] grant number [21875134], [Joint Construction Agreement between Shanghai Jiaotong University and Zhejiang Anji Life Health Joint Research Center (preparatory)] grant number [20H100000586], [Shanghai Jiaotong University—Zhejiang Anji Life Health Joint Research Center (preparatory) Joint Construction Agreement Sub-project II] grant number [SA1100624], [The Introduction of Talent Start-up Funds of Shanghai Eighth Peoples Hospital], [International Postdoctoral Exchange Fellowship Program] grant number [YJ20210136].

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on reasonable request from the corresponding author.

Acknowledgments

We acknowledge LeiLei Shi for helpful discussions about the synthesis of AC-QC nanoparticles.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the compounds are available from the authors.

References

  1. Xiao, H.; Li, P.; Zhang, W.; Tang, B. An ultrasensitive near-infrared ratiometric fluorescent probe for imaging mitochondrial polarity in live cells and in vivo. Chem. Sci. 2016, 7, 1588–1593. [Google Scholar] [CrossRef] [Green Version]
  2. Hoye, A.T.; Davoren, J.E.; Wipf, P.; Fink, M.P.; Kagan, V.E. Targeting mitochondria. Acc. Chem. Res. 2008, 41, 87–97. [Google Scholar] [CrossRef] [PubMed]
  3. Kroemer, G.; Galluzzi, L.; Brenner, C. Mitochondrial membrane permeabilization in cell death. Physiol. Rev. 2007, 87, 99–163. [Google Scholar] [CrossRef] [PubMed]
  4. Hajnóczky, G.; Csordás, G.; Das, S.; Garcia-Perez, C.; Saotome, M.; Roy, S.S.; Yi, M. Mitochondrial calcium signalling and cell death: Approaches for assessing the role of mitochondrial Ca2+ uptake in apoptosis. Cell Calcium 2006, 40, 553–560. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Deliconstantinos, G.; Villiotou, V.; Stavrides, J.C. Modulation of particulate nitric oxide synthase activity and peroxynitrite synthesis in cholesterol enriched endothelial cell membranes. Biochem. Pharmacol. 1995, 49, 1589–1600. [Google Scholar] [CrossRef]
  6. Zubenko, G.S.; Kopp, U.; Seto, T.; Firestone, L.L. Platelet membrane fluidity individuals at risk for Alzheimer’s disease: A comparison of results from fluorescence spectroscopy and electron spin resonance spectroscopy. Psychopharmacology 1999, 145, 175–180. [Google Scholar] [CrossRef]
  7. Hell, S.W. Toward fluorescence nanoscopy. Nat. Biotechnol. 2003, 21, 1347–1355. [Google Scholar] [CrossRef]
  8. Chalfie, M.; Kain, S.R. (Eds.) Green Fluorescent Protein: Properties, Applications and Protocols; John Wiley & Sons: Hoboken, NJ, USA, 2005. [Google Scholar]
  9. Sauer, M.; Hofkens, J.; Enderlein, J. Handbook of Fluorescence Spectroscopy and Imaging: From Ensemble to Single Molecules; John Wiley & Sons: Hoboken, NJ, USA, 2010. [Google Scholar]
  10. Sample, V.; Newman, R.H.; Zhang, J. The structure and function of fluorescent proteins. Chem. Soc. Rev. 2009, 38, 2852–2864. [Google Scholar] [CrossRef]
  11. Sauer, M.; Heilemann, M. Single-molecule localization microscopy in eukaryotes. Chem. Rev. 2017, 117, 7478–7509. [Google Scholar] [CrossRef]
  12. Chen, M.H.; Wang, F.X.; Cao, J.J.; Tan, C.-P.; Ji, L.-N.; Mao, Z.-W. Light-up mitophagy in live cells with dual-functional theranostic phosphorescent iridium (III) complexes. ACS Appl. Mater. Interfaces 2017, 9, 13304–13314. [Google Scholar] [CrossRef]
  13. Hu, F.; Manghnani, P.N.; Kenry; Feng, G.; Wu, W.; Teh, C.; Liu, B. Visualize embryogenesis and cell fate using fluorescent probes with aggregation-induced emission. ACS Appl. Mater. Interfaces 2019, 11, 3737–3744. [Google Scholar] [CrossRef] [PubMed]
  14. Li, X.; Hu, Y.; Li, X.; Ma, H. Mitochondria-immobilized near-infrared ratiometric fluorescent pH probe to evaluate cellular mitophagy. Anal. Chem. 2019, 91, 11409–11416. [Google Scholar] [CrossRef] [PubMed]
  15. Liu, Y.; Zhou, J.; Wang, L.; Hu, X.; Liu, X.; Liu, M.; Cao, Z.; Shangguan, D.; Tan, W. A cyanine dye to probe mitophagy: Simultaneous detection of mitochondria and autolysosomes in live cells. J. Am. Chem. Soc. 2016, 138, 12368–12374. [Google Scholar] [CrossRef] [PubMed]
  16. Liu, Y.; Teng, L.; Chen, L.; Ma, H.; Liu, H.W.; Zhang, X.B. Engineering of a near-infrared fluorescent probe for real-time simultaneous visualization of intracellular hypoxia and induced mitophagy. Chem. Sci. 2018, 9, 5347–5353. [Google Scholar] [CrossRef] [Green Version]
  17. Ma, D.; Huang, C.; Zheng, J.; Zhou, W.; Tang, J.; Chen, W.; Li, J.; Yang, R. Azoreductase-responsive nanoprobe for hypoxia-induced mitophagy imaging. Anal. Chem. 2018, 91, 1360–1367. [Google Scholar] [CrossRef]
  18. Niu, L.-Q.; Huang, J.; Yan, Z.-J.; Men, Y.-H.; Luo, Y.; Zhou, X.-M.; Wang, J.-M.; Wang, J.-H. Fluorescence detection of intracellular pH changes in the mitochondria-associated process of mitophagy using a hemicyanine-based fluorescent probe. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2019, 207, 123–131. [Google Scholar] [CrossRef]
  19. Ye, Z.; Wei, L.; Geng, X.; Wang, X.; Li, Z.; Xiao, L. Mitochondrion-Specific Blinking Fluorescent Bioprobe for Nanoscopic Monitoring of Mitophagy. ACS Nano 2019, 13, 11593–11602. [Google Scholar] [CrossRef]
  20. Zhang, W.; Kwok, R.T.K.; Chen, Y.; Chen, S.; Zhao, E.; Yu, C.Y.Y.; Lam, J.W.Y.; Zheng, Q.; Tang, B.Z. Real-time monitoring of the mitophagy process by a photostable fluorescent mitochondrion-specific bioprobe with AIE characteristics. Chem. Commun. 2015, 51, 9022–9025. [Google Scholar] [CrossRef]
  21. Zhang, R.; Niu, G.; Li, X.; Guo, L.; Zhang, H.; Yang, R.; Chen, Y.; Yu, X.; Tang, B.Z. Reaction-free and MMP-independent fluorescent probes for long-term mitochondria visualization and tracking. Chem. Sci. 2018, 10, 1994–2000. [Google Scholar] [CrossRef] [Green Version]
  22. Zou, Z.; Yan, Q.; Ai, S.; Qi, P.; Yang, H.; Zhang, Y.; Qing, Z.; Zhang, L.; Feng, F.; Yang, R. Real-Time Visualizing Mitophagy-Specific Viscosity Dynamic by Mitochondria-Anchored Molecular Rotor. Anal. Chem. 2019, 91, 8574–8581. [Google Scholar] [CrossRef]
  23. Butkevich, A.N.; Lukinavičius, G.; D’este, E.; Hell, S.W. Cell-Permeant Large Stokes Shift Dyes for Transfection-Free Multicolor Nanoscopy. J. Am. Chem. Soc. 2017, 139, 12378–12381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Shi, L.; Gao, X.; Yuan, W.; Xu, L.; Deng, H.; Wu, C.; Yang, J.; Jin, X.; Zhang, C.; Zhu, X. Endoplasmic Reticulum-Targeted Fluorescent Nanodot with Large Stokes Shift for Vesicular Transport Monitoring and Long-Term Bioimaging. Small 2018, 14, 1800223. [Google Scholar] [CrossRef] [PubMed]
  25. Araneda, J.F.; Piers, W.E.; Heyne, B.; Parvez, M.; McDonald, R. High Stokes Shift Anilido-Pyridine Boron Difluoride Dyes. Angew. Chem. Int. Ed. 2011, 50, 12214–12217. [Google Scholar] [CrossRef]
  26. Shcherbakova, D.M.; Hink, M.A.; Joosen, L.; Gadella, T.W.J.; Verkhusha, V.V. An Orange Fluorescent Protein with a Large Stokes Shift for Single-Excitation Multicolor FCCS and FRET Imaging. J. Am. Chem. Soc. 2012, 134, 7913–7923. [Google Scholar] [CrossRef] [Green Version]
  27. Wu, X.; Sun, X.; Guo, Z.; Tang, J.; Shen, Y.; James, T.D.; Tian, H.; Zhu, W. In Vivo and in Situ Tracking Cancer Chemotherapy by Highly Photostable NIR Fluorescent Theranostic Prodrug. J. Am. Chem. Soc. 2014, 136, 3579–3588. [Google Scholar] [CrossRef] [PubMed]
  28. Wu, I.-C.; Yu, J.; Ye, F.; Rong, Y.; Gallina, M.E.; Fujimoto, B.S.; Zhang, Y.; Chan, Y.-H.; Sun, W.; Zhou, X.-H.; et al. Squaraine-Based Polymer Dots with Narrow, Bright Near-Infrared Fluorescence for Biological Applications. J. Am. Chem. Soc. 2014, 137, 173–178. [Google Scholar] [CrossRef] [Green Version]
  29. Mei, J.; Leung, N.L.C.; Kwok, R.T.K.; Lam, J.W.Y.; Tang, B.Z. Aggregation-Induced Emission: Together We Shine, United We Soar! Chem. Rev. 2015, 115, 11718–11940. [Google Scholar] [CrossRef]
  30. Hu, R.; Leung, N.L.; Tang, B.Z. AIE macromolecules: Syntheses, structures and functionalities. Chem. Soc. Rev. 2014, 43, 4494–4562. [Google Scholar] [CrossRef]
  31. Luo, J.; Xie, Z.; Xie, Z.; Lam, J.W.Y.; Cheng, L.; Chen, H.; Qiu, C.; Kwok, H.S.; Zhan, X.; Liu, Y.; et al. Aggregation-Induced Emission of 1-Methyl-1,2,3,4,5-Pentaphenylsilole. Chem. Commun. 2001, 1740–1741. [Google Scholar] [CrossRef]
  32. Yuan, Y.; Zhang, C.-J.; Gao, M.; Zhang, R.; Tang, B.Z.; Liu, B. Specific Light-Up Bioprobe with Aggregation-Induced Emission and Activatable Photoactivity for the Targeted and Image-Guided Photodynamic Ablation of Cancer Cells. Angew. Chem. Int. Ed. 2014, 54, 1780–1786. [Google Scholar] [CrossRef]
  33. Kwok, R.T.K.; Leung, C.W.T.; Lam, J.W.Y.; Tang, B.Z. Biosensing by luminogens with aggregation-induced emission characteristics. Chem. Soc. Rev. 2014, 44, 4228–4238. [Google Scholar] [CrossRef] [PubMed]
  34. Shi, H.; Liu, J.; Geng, J.; Tang, B.Z.; Liu, B. Specific detection of integrin αvβ3 by light-up bioprobe with aggregation-induced emission characteristics. J. Am. Chem. Soc. 2012, 134, 9569–9572. [Google Scholar] [CrossRef] [PubMed]
  35. Leung, C.W.T.; Hong, Y.; Chen, S.; Zhao, E.; Lam, J.W.Y.; Tang, B.Z. A Photostable AIE Luminogen for Specific Mitochondrial Imaging and Tracking. J. Am. Chem. Soc. 2012, 135, 62–65. [Google Scholar] [CrossRef]
  36. Chen, S.; Hong, Y.; Liu, Y.; Liu, J.; Leung, C.W.T.; Li, M.; Kwok, R.T.K.; Zhao, E.; Lam, J.W.E.; Yu, Y.; et al. Full-range intracellular pH sensing by an aggregation-induced emission-active two-channel ratiometric fluorogen. J. Am. Chem. Soc. 2013, 135, 4926–4929, Corrected in J. Am. Chem. Soc. 2014, 136, 11196. [Google Scholar] [CrossRef]
  37. Qi, J.; Fang, Y.; Kwok, R.T.K.; Zhang, X.; Hu, X.; Lam, J.W.Y.; Ding, D.; Tang, B.Z. Highly Stable Organic Small Molecular Nanoparticles as an Advanced and Biocompatible Phototheranostic Agent of Tumor in Living Mice. ACS Nano 2017, 11, 7177–7188. [Google Scholar] [CrossRef] [PubMed]
  38. Zhang, C.-J.; Feng, G.; Xu, S.; Zhu, Z.; Lu, X.; Wu, J.; Liu, B. Structure-Dependent cis/trans Isomerization of Tetraphenylethene Derivatives: Consequences for Aggregation-Induced Emission. Angew. Chem. Int. Ed. 2016, 55, 6192–6196. [Google Scholar] [CrossRef]
  39. Yuan, Y.; Xu, S.; Cheng, X.; Cai, X.; Liu, B. Bioorthogonal Turn-On Probe Based on Aggregation-Induced Emission Characteristics for Cancer Cell Imaging and Ablation. Angew. Chem. Int. Ed. 2016, 55, 6457–6461. [Google Scholar] [CrossRef]
  40. Hu, F.; Xu, S.; Liu, B. Photosensitizers with Aggregation-Induced Emission: Materials and Biomedical Applications. Adv. Mater. 2018, 30, e1801350. [Google Scholar] [CrossRef]
  41. Feng, G.; Liu, B. Aggregation-Induced Emission (AIE) Dots: Emerging Theranostic Nanolights. Accounts Chem. Res. 2018, 51, 1404–1414. [Google Scholar] [CrossRef]
  42. He, X.; Xiong, L.-H.; Zhao, Z.; Wang, Z.; Luo, L.; Lam, J.W.Y.; Kwok, R.T.K.; Tang, B.Z. AIE-based theranostic systems for detection and killing of pathogens. Theranostics 2019, 9, 3223–3248. [Google Scholar] [CrossRef]
  43. Wang, D.; Lee, M.S.; Xu, W.; Kwok, R.T.K.; Lam, J.W.Y.; Tang, B.Z. Theranostics based on AIEgens. Theranostics 2018, 8, 4925–4956. [Google Scholar] [CrossRef] [PubMed]
  44. Gao, M.; Tang, B.Z. Aggregation-induced emission probes for cancer theranostics. Drug Discov. Today 2017, 22, 1288–1294. [Google Scholar] [CrossRef] [PubMed]
  45. Gu, X.; Kwok, R.T.; Lam, J.W.; Tang, B.Z. AIEgens for biological process monitoring and disease theranostics. Biomaterials 2017, 146, 115–135. [Google Scholar] [CrossRef]
  46. Li, K.; Liu, B. Polymer-encapsulated organic nanoparticles for fluorescence and photoacoustic imaging. Chem. Soc. Rev. 2014, 43, 6570–6597. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Chen, C.; Ni, X.; Jia, S.; Liang, Y.; Wu, X.; Kong, D.; Ding, D. Massively Evoking Immunogenic Cell Death by Focused Mitochondrial Oxidative Stress Using An AIE Luminogen with A Twisted Molecular Structure. Adv. Mater. 2019, 31, 1904914. [Google Scholar] [CrossRef] [PubMed]
  48. Chen, C.; Ni, X.; Tian, H.; Liu, Q.; Guo, D.; Ding, D. Calixarene-Based Supramolecular AIE Dots with Highly Inhibited Nonradiative Decay and Intersystem Crossing for Ultrasensitive Fluorescence Image-Guided Cancer Surgery. Angew. Chem. Int. Ed. 2020, 59, 10008–10012. [Google Scholar] [CrossRef]
  49. Ni, X.; Zhang, X.; Duan, X.; Zheng, H.-L.; Xue, X.-S.; Ding, D. Near-Infrared Afterglow Luminescent Aggregation-Induced Emission Dots with Ultrahigh Tumor-to-Liver Signal Ratio for Promoted Image-Guided Cancer Surgery. Nano Lett. 2019, 19, 318–330. [Google Scholar] [CrossRef]
  50. Klimpel, A.; Neundorf, I. Bifunctional peptide hybrids targeting the matrix of mitochondria. J. Control. Release 2018, 291, 147–156. [Google Scholar] [CrossRef]
  51. Schneider, C.A.; Rasband, W.S.; Eliceiri, K.W. NIH Image to ImageJ: 25 Years of image analysis. Nat. Methods 2012, 9, 671–675. [Google Scholar] [CrossRef]
  52. Manickam, R.; Tur, J.; Badole, S.L.; Chapalamadugu, K.C.; Sinha, P.; Wang, Z.; Russ, D.W.; Brotto, M.; Tipparaju, S.M. Nampt activator P7C3 ameliorates diabetes and improves skeletal muscle function modulating cell metabolism and lipid mediators. J. Cachex Sarcopenia Muscle 2022, 13, 1177–1196. [Google Scholar] [CrossRef]
Molecules 28 03962 g001
Figure 1. Construction and application of AC-QC nanoparticle for MITO targeting.
Figure 1. Construction and application of AC-QC nanoparticle for MITO targeting.
Molecules 28 03962 g001
Molecules 28 03962 g002
Figure 2. Optical features of QC: (A) FTIR spectrum of QC. (B) QC fluorescence spectra in various solvents. (C) The QC fluorescence emission spectra in Gly/MeOH with different MeOH fractions. (D) QC fluorescence spectra in PBS solvents. (E) UV–vis absorption spectra of QC in DMSO.
Figure 2. Optical features of QC: (A) FTIR spectrum of QC. (B) QC fluorescence spectra in various solvents. (C) The QC fluorescence emission spectra in Gly/MeOH with different MeOH fractions. (D) QC fluorescence spectra in PBS solvents. (E) UV–vis absorption spectra of QC in DMSO.
Molecules 28 03962 g002
Molecules 28 03962 g003
Figure 3. (A) Representative TEM images of AC-QC nanoparticles. (B) DLS assessments of the hydrodynamic diameter of AC-QC nanoparticles in aqueous solution. (C) AC-QC fluorescence spectra in various solvents.
Figure 3. (A) Representative TEM images of AC-QC nanoparticles. (B) DLS assessments of the hydrodynamic diameter of AC-QC nanoparticles in aqueous solution. (C) AC-QC fluorescence spectra in various solvents.
Molecules 28 03962 g003
Molecules 28 03962 g004
Figure 4. Viability of IOSE-80 cells compared to nanoparticle solution after 24 h (A) and 48 h (B) of culturing with different nanoparticle concentrations. Viability of L929 cells in contrast to nanoparticle solution after cultured for 24 h (C) and 48 h (D) with different nanoparticle concentrations. IOSE-80 cells and L929 cells preserved leaking nanoparticles were utilized as the control.
Figure 4. Viability of IOSE-80 cells compared to nanoparticle solution after 24 h (A) and 48 h (B) of culturing with different nanoparticle concentrations. Viability of L929 cells in contrast to nanoparticle solution after cultured for 24 h (C) and 48 h (D) with different nanoparticle concentrations. IOSE-80 cells and L929 cells preserved leaking nanoparticles were utilized as the control.
Molecules 28 03962 g004
Molecules 28 03962 g005
Figure 5. Confocal imaging of L929 cells (A) and IOSE-80 cells (B) co-stained with AC-QC nanoparticles (10 μg/mL, λex = 405 nm, λem = 500–550 nm), Mito Tracker, ER Tracker, Golgi Tracker, Lyso Tracker, and PI (λex = 503 nm, λem = 600–800 nm). According to the instructions, cells were inserted into the incubator with AC-QC nanoparticles for 4 h, and then other organelle trackers were supplemented and followed by additional 30 min incubation. All scale bars are 25 μm. Each experiment was completed independently three times. Data are reported as mean values ± standard deviation, n = 3.
Figure 5. Confocal imaging of L929 cells (A) and IOSE-80 cells (B) co-stained with AC-QC nanoparticles (10 μg/mL, λex = 405 nm, λem = 500–550 nm), Mito Tracker, ER Tracker, Golgi Tracker, Lyso Tracker, and PI (λex = 503 nm, λem = 600–800 nm). According to the instructions, cells were inserted into the incubator with AC-QC nanoparticles for 4 h, and then other organelle trackers were supplemented and followed by additional 30 min incubation. All scale bars are 25 μm. Each experiment was completed independently three times. Data are reported as mean values ± standard deviation, n = 3.
Molecules 28 03962 g005
Molecules 28 03962 g006
Figure 6. A comparison between the photostability of AC-QC nanoparticles (below) and that of MITO Tracker (upper). The samples were respectively incubated with IOSE-80 cells and irradiated by laser for 20 min. The scale bar is 25 μm.
Figure 6. A comparison between the photostability of AC-QC nanoparticles (below) and that of MITO Tracker (upper). The samples were respectively incubated with IOSE-80 cells and irradiated by laser for 20 min. The scale bar is 25 μm.
Molecules 28 03962 g006
Molecules 28 03962 g007
Figure 7. Long-term cellular tracking of AC-QC nanoparticles (below) at 37 °C for 4 h and MITO Tracker (upper) and cultured for different time intervals from day 0 to 3. The experiment was conducted independently 3 times.
Figure 7. Long-term cellular tracking of AC-QC nanoparticles (below) at 37 °C for 4 h and MITO Tracker (upper) and cultured for different time intervals from day 0 to 3. The experiment was conducted independently 3 times.
Molecules 28 03962 g007
Molecules 28 03962 sch001
Scheme 1. Synthetic route of QC.
Scheme 1. Synthetic route of QC.
Molecules 28 03962 sch001
Molecules 28 03962 sch002
Scheme 2. Synthetic route of AC-QC nanoparticles.
Scheme 2. Synthetic route of AC-QC nanoparticles.
Molecules 28 03962 sch002
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Li, X.; Zhang, T.; Diao, X.; Yu, L.; Su, Y.; Yang, J.; Shang, Z.; Liu, S.; Zhou, J.; Li, G.; et al. Mitochondria-Targeted Fluorescent Nanoparticles with Large Stokes Shift for Long-Term BioImaging. Molecules 2023, 28, 3962. https://doi.org/10.3390/molecules28093962

AMA Style

Li X, Zhang T, Diao X, Yu L, Su Y, Yang J, Shang Z, Liu S, Zhou J, Li G, et al. Mitochondria-Targeted Fluorescent Nanoparticles with Large Stokes Shift for Long-Term BioImaging. Molecules. 2023; 28(9):3962. https://doi.org/10.3390/molecules28093962

Chicago/Turabian Style

Li, Xiao, Tao Zhang, Xuebo Diao, Li Yu, Yue Su, Jiapei Yang, Zibo Shang, Shuai Liu, Jia Zhou, Guolin Li, and et al. 2023. "Mitochondria-Targeted Fluorescent Nanoparticles with Large Stokes Shift for Long-Term BioImaging" Molecules 28, no. 9: 3962. https://doi.org/10.3390/molecules28093962

Article Metrics

Back to TopTop