Literature DB >> 23334501

Dynamic single-cell measurements of gene expression in primary lymphocytes: challenges, tools and prospects.

Michal Polonsky1, Irina Zaretsky, Nir Friedman.   

Abstract

Lymphocyte populations show a high level of phenotypic variability and are highly heterogeneous in their gene expression patterns. Studying this cell-to-cell variability, the processes which generate it and its implications for lymphocyte function can be advanced by live cell imaging combined with measurements of gene expression at the single-cell level. However, until recently such studies were limited due to the high motility of primary lymphocytes following their activation, their clustering that precludes single-cell analysis and the prolonged duration of relevant processes such as cell differentiation. In this review, we describe recent methodological advances, which enable single-cell studies of primary lymphocytes, and present some applications of these new techniques. We focus our discussion on microwell arrays. These arrays are typically comprised of thousands of small microwells in which primary lymphocytes can be trapped and imaged over long periods of time. This allows for quantitative evaluation of various cellular processes including cell proliferation, cell death, cytokine secretion and measurements of gene expression at the single-cell level. These advances pave the way for future studies of population variability, dynamic cell responses, stochasticity in gene expression and intercellular interactions between functional lymphocytes in controlled microenvironments.

Mesh:

Year:  2013        PMID: 23334501     DOI: 10.1093/bfgp/els061

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  4 in total

Review 1.  Clonal expansion under the microscope: studying lymphocyte activation and differentiation using live-cell imaging.

Authors:  Michal Polonsky; Benjamin Chain; Nir Friedman
Journal:  Immunol Cell Biol       Date:  2015-12-22       Impact factor: 5.126

2.  Advances in three-dimensional rapid prototyping of microfluidic devices for biological applications.

Authors:  P F O'Neill; A Ben Azouz; M Vázquez; J Liu; S Marczak; Z Slouka; H C Chang; D Diamond; D Brabazon
Journal:  Biomicrofluidics       Date:  2014-10-16       Impact factor: 2.800

3.  Early Diagnosis of Pathogen Infection by Cell-Based Activation Immunoassay.

Authors:  Erez Bar-Haim; Shahar Rotem; Uri Elia; Adi Bercovich-Kinori; Ma'ayan Israeli; Inbar Cohen-Gihon; Ofir Israeli; Noam Erez; Hagit Achdout; Ayelet Zauberman; Moshe Aftalion; Emanuelle Mamroud; Theodor Chitlaru; Ofer Cohen
Journal:  Cells       Date:  2019-08-22       Impact factor: 6.600

Review 4.  Transcription factor interplay in T helper cell differentiation.

Authors:  Catherine M Evans; Richard G Jenner
Journal:  Brief Funct Genomics       Date:  2013-07-22       Impact factor: 4.241

  4 in total

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