Literature DB >> 21487572

Cellular heterogeneity and live cell arrays.

Maureen A Walling1, Jason R E Shepard.   

Abstract

In the past decade, the tendency to move from a global, one-size-fits-all treatment philosophy to personalized medicine is based, in part, on the nuanced differences and sub-classifications of disease states. Our knowledge of these varied states stems from not only the ability to diagnose, classify, and perform experiments on cell populations as a whole, but also from new technologies that allow interrogation of cell populations at the individual cell level. Such departures from conventional thinking are driven by the recognition that clonal cell populations have numerous activities that manifest as significant levels of non-genetic heterogeneity. Clonal populations by definition originate from a single genetic origin so are regarded as having a high level of homogeneity as compared to genetically distinct cell populations. However, analysis at the single cell level has revealed a different phenomenon; cells and organisms require an inherent level of non-genetic heterogeneity to function properly, and in some cases, to survive. The growing understanding of this occurrence has lead to the development of methods to monitor, analyze, and better characterize the heterogeneity in cell populations. Following the trend of DNA- and protein microarrays, platforms capable of simultaneously monitoring each cell in a population have been developed. These cellular microarray platforms and other related formats allow for continuous monitoring of single live cells and simultaneously generate individual cell and average population data that are more descriptive and information-rich than traditional bulk methods. These technological advances have helped develop a better understanding of the intricacies associated with biological processes and afforded greater insight into complex biological systems. The associated instruments, techniques, and reagents now allow for highly multiplexed analyses, which enable multiple cellular activities, processes, or pathways to be monitored simultaneously. This critical review will discuss the paradigm shift associated with cellular heterogeneity, speak to the key developments that have lead to our better understanding of systems biology, and detail the future directions of the discipline (281 references).

Mesh:

Year:  2011        PMID: 21487572     DOI: 10.1039/c0cs00212g

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  21 in total

1.  A microfluidic chip for the versatile chemical analysis of single cells.

Authors:  Klaus Eyer; Phillip Kuhn; Simone Stratz; Petra S Dittrich
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2.  A microfluidic device enabling high-efficiency single cell trapping.

Authors:  D Jin; B Deng; J X Li; W Cai; L Tu; J Chen; Q Wu; W H Wang
Journal:  Biomicrofluidics       Date:  2015-01-07       Impact factor: 2.800

3.  Negative dielectrophoretic capture and repulsion of single cells at a bipolar electrode: the impact of faradaic ion enrichment and depletion.

Authors:  Robbyn K Anand; Eleanor S Johnson; Daniel T Chiu
Journal:  J Am Chem Soc       Date:  2015-01-12       Impact factor: 15.419

4.  Creating cellular patterns using genetically engineered, gold- and cell-binding polypeptides.

Authors:  Linying Li; Chia-Kuei Mo; Ashutosh Chilkoti; Gabriel P Lopez; Nick J Carroll
Journal:  Biointerphases       Date:  2016-06-27       Impact factor: 2.456

5.  Critical Points in Tumorigenesis: A Carcinogen-Initiated Phase Transition Analyzed via Single-Cell Proteomics.

Authors:  Suresh Kumar Poovathingal; Nataly Kravchenko-Balasha; Young Shik Shin; Raphael David Levine; James R Heath
Journal:  Small       Date:  2016-01-18       Impact factor: 13.281

6.  Manipulating ionic strength to improve single cell electrophoretic separations.

Authors:  Richard B Keithley; Mark P Metzinger; Andrea M Rosado; Norman J Dovichi
Journal:  Talanta       Date:  2013-03-13       Impact factor: 6.057

7.  Monitoring the single-cell stress response of the diatom Thalassiosira pseudonana by quantitative real-time reverse transcription-PCR.

Authors:  Xu Shi; Weimin Gao; Shih-hui Chao; Weiwen Zhang; Deirdre R Meldrum
Journal:  Appl Environ Microbiol       Date:  2013-01-11       Impact factor: 4.792

8.  Mass spectrometry-based metabolomics of single yeast cells.

Authors:  Alfredo J Ibáñez; Stephan R Fagerer; Anna Mareike Schmidt; Pawel L Urban; Konstantins Jefimovs; Philipp Geiger; Reinhard Dechant; Matthias Heinemann; Renato Zenobi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-13       Impact factor: 11.205

9.  Single-virus fusion experiments reveal proton influx into vaccinia virions and hemifusion lag times.

Authors:  Florian I Schmidt; Phillip Kuhn; Tom Robinson; Jason Mercer; Petra S Dittrich
Journal:  Biophys J       Date:  2013-07-16       Impact factor: 4.033

10.  Co-fabrication of chitosan and epoxy photoresist to form microwell arrays with permeable hydrogel bottoms.

Authors:  Douglas M Ornoff; Yuli Wang; Angela Proctor; Akash S Shah; Nancy L Allbritton
Journal:  Biomaterials       Date:  2015-09-28       Impact factor: 12.479

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