Literature DB >> 23072772

Monitoring the dynamics of primary T cell activation and differentiation using long term live cell imaging in microwell arrays.

Irina Zaretsky1, Michal Polonsky, Eric Shifrut, Shlomit Reich-Zeliger, Yaron Antebi, Guy Aidelberg, Nir Waysbort, Nir Friedman.   

Abstract

Methods that allow monitoring of individual cells over time, using live cell imaging, are essential for studying dynamical cellular processes in heterogeneous cell populations such as primary T lymphocytes. However, applying single cell time-lapse microscopy to study activation and differentiation of these cells was limited due to a number of reasons. First, primary naïve T cells are non-adherent and become highly motile upon activation through their antigen receptor. Second, CD4(+) T cell differentiation is a relatively slow process which takes 3-4 days. As a result, long-term dynamic monitoring of individual cells during the course of activation and differentiation is challenging as cells rapidly escape out of the microscope field of view. Here we present and characterize a platform which enables capture and growth of primary T lymphocytes with minimal perturbation, allowing for long-term monitoring of cell activation and differentiation. We use standard cell culture plates combined with PDMS based arrays containing thousands of deep microwells in which primary CD4(+) T cells are trapped and activated by antigen coated microbeads. We demonstrate that this system allows for live cell imaging of individual T cells for up to 72 h, providing quantitative data on cell proliferation and death times. In addition, we continuously monitor dynamics of gene expression in those cells, of either intracellular proteins using cells from transgenic mice expressing fluorescent reporter proteins, or cell surface proteins using fluorescently labeled antibodies. Finally, we show how intercellular interactions between different cell types can be investigated using our device. This system provides a new platform in which dynamical processes and intercellular interactions within heterogeneous populations of primary T cells can be studied at the single cell level.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23072772     DOI: 10.1039/c2lc40808b

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  28 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

Review 2.  Single-cell sequencing-based technologies will revolutionize whole-organism science.

Authors:  Ehud Shapiro; Tamir Biezuner; Sten Linnarsson
Journal:  Nat Rev Genet       Date:  2013-07-30       Impact factor: 53.242

3.  Automated profiling of individual cell-cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING).

Authors:  Amine Merouane; Nicolas Rey-Villamizar; Yanbin Lu; Ivan Liadi; Gabrielle Romain; Jennifer Lu; Harjeet Singh; Laurence J N Cooper; Navin Varadarajan; Badrinath Roysam
Journal:  Bioinformatics       Date:  2015-06-09       Impact factor: 6.937

Review 4.  The functional contribution of calcium ion flux heterogeneity in T cells.

Authors:  Susan N Christo; Kerrilyn R Diener; John D Hayball
Journal:  Immunol Cell Biol       Date:  2015-03-31       Impact factor: 5.126

Review 5.  Single-cell technologies for monitoring immune systems.

Authors:  Pratip K Chattopadhyay; Todd M Gierahn; Mario Roederer; J Christopher Love
Journal:  Nat Immunol       Date:  2014-02       Impact factor: 25.606

6.  Analysis of Cancer Cell Invasion and Anti-metastatic Drug Screening Using Hydrogel Micro-chamber Array (HMCA)-based Plates.

Authors:  Orit Ravid-Hermesh; Naomi Zurgil; Yana Shafran; Elena Afrimzon; Maria Sobolev; Yaron Hakuk; Zehavit Bar-On Eizig; Mordechai Deutsch
Journal:  J Vis Exp       Date:  2018-10-25       Impact factor: 1.355

Review 7.  Bridging the gap: microfluidic devices for short and long distance cell-cell communication.

Authors:  Timothy Quang Vu; Ricardo Miguel Bessa de Castro; Lidong Qin
Journal:  Lab Chip       Date:  2017-03-14       Impact factor: 6.799

8.  Characterization of cell seeding and specific capture of B cells in microbubble well arrays.

Authors:  Meghan C Jones; James J Kobie; Lisa A Delouise
Journal:  Biomed Microdevices       Date:  2013-06       Impact factor: 2.838

Review 9.  A new toolbox for assessing single cells.

Authors:  Konstantinos Tsioris; Alexis J Torres; Thomas B Douce; J Christopher Love
Journal:  Annu Rev Chem Biomol Eng       Date:  2014       Impact factor: 11.059

Review 10.  Point-of-care (POC) devices by means of advanced MEMS.

Authors:  Stanislav L Karsten; Mehmet C Tarhan; Lili C Kudo; Dominique Collard; Hiroyuki Fujita
Journal:  Talanta       Date:  2015-04-23       Impact factor: 6.057

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.