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Whole-Cell Biosensor: Recent Advances
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Whole-Cell Biosensor: Recent Advances

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: closed (20 May 2022) | Viewed by 16703

Special Issue Editor

Dr. Rawil Fakhrullin

E-Mail Website
Guest Editor
1. Institute of Fundamental Medicine and Biology, Kazan Federal University, Kreml uramı 18, 420008 Kazan, Russia
2. Department of Ichthyology and Hydrobiology, Biological Institute, National Research Tomsk State University, 634050 Tomsk, Russia
Interests: drug delivery vehicles; tissue engineering; clay nanomaterials; colloid chemistry; correlative microscopy; cell surface engineering; nanotoxicology; spectroscopy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The fabrication of whole-cell biosensors is a fascinating direction in bioanalytical chemistry. Arguably, whole-cell biosensors represent the most interesting and intriguing part of the biosensor family. In whole-cell biosensorx, we benefit from the analytical response of the cellular machinery orchestrated by the synergy of nucleic acids and enzymes. Essentially, the simplest (yet fully functional) whole-cell biosensors do not even require any physical transdusers, relying on direct observations of cellular responses to various analytes manifested in luminescence intensity changes or similar signals. More elaborate devices, in general, follow the classical biosensor setup structure, where the biological sensing elements (live cells) are incorporated into a certain electronic device capable of sensing the (bio)chemical changes within the cells. This opens avenues for the effective and selective detection of various analytes. Therefore, whole-cell biosensors hold great promise in current bioanalytical chemistry, attracting the attention of researchers worldwide.

This Special Issue is focused on recent advances in the field of whole-cell biosensors. Both review and original research articles are invited. In addition to papers reporting on the fabrication and applications of whole-cell biosensors, contributions featuring other areas related to whole-cells biosensors, such as genetic modifications of reporter cells, cell immobilization, or cell surface modifications. In addition, manuscripts reporting technological advances towards more effective whole-cell biosensors, such as the development of novel analytical platforms, the improvement of data acquisition, or the introduction of novel measurements or data processing techniques, will be considered.

Dr. Rawil Fakhrullin
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Whole-cell biosensors
  • Diagnostics
  • Reporter cells
  • Microfluidic biosensing devices
  • Electrochemical biosensors
  • Cell surface engineering

Published Papers (2 papers)

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17 pages, 2298 KiB  
Article
CellCountCV—A Web-Application for Accurate Cell Counting and Automated Batch Processing of Microscopic Images Using Fully Convolutional Neural Networks
by Denis Antonets, Nikolai Russkikh, Antoine Sanchez, Victoria Kovalenko, Elvira Bairamova, Dmitry Shtokalo, Sergey Medvedev and Suren Zakian
Sensors 2020, 20(13), 3653; https://doi.org/10.3390/s20133653 - 29 Jun 2020
Cited by 3 | Viewed by 2330
Abstract
In vitro cellular models are promising tools for studying normal and pathological conditions. One of their important applications is the development of genetically engineered biosensor systems to investigate, in real time, the processes occurring in living cells. At present, there are fluorescence, protein-based, [...] Read more.
In vitro cellular models are promising tools for studying normal and pathological conditions. One of their important applications is the development of genetically engineered biosensor systems to investigate, in real time, the processes occurring in living cells. At present, there are fluorescence, protein-based, sensory systems for detecting various substances in living cells (for example, hydrogen peroxide, ATP, Ca2+ etc.,) or for detecting processes such as endoplasmic reticulum stress. Such systems help to study the mechanisms underlying the pathogenic processes and diseases and to screen for potential therapeutic compounds. It is also necessary to develop new tools for the processing and analysis of obtained microimages. Here, we present our web-application CellCountCV for automation of microscopic cell images analysis, which is based on fully convolutional deep neural networks. This approach can efficiently deal with non-convex overlapping objects, that are virtually inseparable with conventional image processing methods. The cell counts predicted with CellCountCV were very close to expert estimates (the average error rate was < 4%). CellCountCV was used to analyze large series of microscopic images obtained in experimental studies and it was able to demonstrate endoplasmic reticulum stress development and to catch the dose-dependent effect of tunicamycin. Full article
(This article belongs to the Special Issue Whole-Cell Biosensor: Recent Advances)
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Review

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21 pages, 1815 KiB  
Review
In Vivo Whole-Cell Patch-Clamp Methods: Recent Technical Progress and Future Perspectives
by Asako Noguchi, Yuji Ikegaya and Nobuyoshi Matsumoto
Sensors 2021, 21(4), 1448; https://doi.org/10.3390/s21041448 - 19 Feb 2021
Cited by 13 | Viewed by 13673
Abstract
Brain functions are fundamental for the survival of organisms, and they are supported by neural circuits consisting of a variety of neurons. To investigate the function of neurons at the single-cell level, researchers often use whole-cell patch-clamp recording techniques. These techniques enable us [...] Read more.
Brain functions are fundamental for the survival of organisms, and they are supported by neural circuits consisting of a variety of neurons. To investigate the function of neurons at the single-cell level, researchers often use whole-cell patch-clamp recording techniques. These techniques enable us to record membrane potentials (including action potentials) of individual neurons of not only anesthetized but also actively behaving animals. This whole-cell recording method enables us to reveal how neuronal activities support brain function at the single-cell level. In this review, we introduce previous studies using in vivo patch-clamp recording techniques and recent findings primarily regarding neuronal activities in the hippocampus for behavioral function. We further discuss how we can bridge the gap between electrophysiology and biochemistry. Full article
(This article belongs to the Special Issue Whole-Cell Biosensor: Recent Advances)
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