scholarly journals Electrophoretic cytometry of adherent cells

Lab on a Chip ◽  
2017 ◽  
Vol 17 (24) ◽  
pp. 4312-4323 ◽  
Author(s):  
Elaine J. Su ◽  
Amy E. Herr

We design a microfluidic, in situ isoelectric focusing assay that assays adherent cells for targeted, single-cell protein analysis.

2019 ◽  
Vol 411 (19) ◽  
pp. 4339-4347
Author(s):  
Siwen Wang ◽  
Fei Ji ◽  
Zhonghan Li ◽  
Min Xue

Lab on a Chip ◽  
2013 ◽  
Vol 13 (11) ◽  
pp. 2066 ◽  
Author(s):  
Ali Salehi-Reyhani ◽  
Sanjiv Sharma ◽  
Edward Burgin ◽  
Michael Barclay ◽  
Anthony Cass ◽  
...  

Author(s):  
Zhihang Yu ◽  
Jing Jin ◽  
Lingling Shui ◽  
Huaying Chen ◽  
Yonggang Zhu

2016 ◽  
Author(s):  
Yann S Dufour ◽  
Sébastien Gillet ◽  
Nicholas W Frankel ◽  
Douglas B Weibel ◽  
Thierry Emonet

AbstractUnderstanding how stochastic molecular fluctuations affect cell behavior requires the quantification of both behavior and protein numbers in the same cells. Here, we combine automated microscopy with in situ hydrogel polymerization to measure single-cell protein expression after tracking swimming behavior. We characterized the distribution of non-genetic phenotypic diversity in Escherichia coli motility, which affects single-cell exploration. By expressing fluorescently tagged chemotaxis proteins (CheR and CheB) at different levels, we quantitatively mapped motile phenotype (tumble bias) to protein numbers using thousands of single-cell measurements. Our results disagreed with established models until we incorporated the role of CheB in receptor deamidation and the slow fluctuations in receptor methylation. Beyond refining models, our central finding is that changes in numbers of CheR and CheB affect the population mean tumble bias and its variance independently. Therefore, it is possible to adjust the degree of phenotypic diversity of a population by adjusting the global level of expression of CheR and CheB while keeping their ratio constant, which, as shown in previous studies, confers functional robustness to the system. Since genetic control of protein expression is heritable, our results suggest that non-genetic diversity in motile behavior is selectable, supporting earlier hypotheses that such diversity confers a selective advantage.


Lab on a Chip ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 855-863 ◽  
Author(s):  
John J. Kim ◽  
Elly Sinkala ◽  
Amy E. Herr

We demonstrate a lab-on-a-disc western blotting device that integrates cell handling and single-cell protein analysis of sparse (<200 cells) starting samples.


Cells ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1271 ◽  
Author(s):  
Lixing Liu ◽  
Deyong Chen ◽  
Junbo Wang ◽  
Jian Chen

Proteins play a significant role in the key activities of cells. Single-cell protein analysis provides crucial insights in studying cellular heterogeneities. However, the low abundance and enormous complexity of the proteome posit challenges in analyzing protein expressions at the single-cell level. This review summarizes recent advances of various approaches to single-cell protein analysis. We begin by discussing conventional characterization approaches, including fluorescence flow cytometry, mass cytometry, enzyme-linked immunospot assay, and capillary electrophoresis. We then detail the landmark advances of microfluidic approaches for analyzing single-cell protein expressions, including microfluidic fluorescent flow cytometry, droplet-based microfluidics, microwell-based assay (microengraving), microchamber-based assay (barcoding microchips), and single-cell Western blotting, among which the advantages and limitations are compared. Looking forward, we discuss future research opportunities and challenges for multiplexity, analyte, throughput, and sensitivity of the microfluidic approaches, which we believe will prompt the research of single-cell proteins such as the molecular mechanism of cell biology, as well as the clinical applications for tumor treatment and drug development.


Sign in / Sign up

Export Citation Format

Share Document