Literature DB >> 22265885

A novel method for kinetic measurements of rare cell proliferation using Cellometer image-based cytometry.

Leo L Chan1, Xuemei Zhong, Alnoor Pirani, Bo Lin.   

Abstract

Cell proliferation is an important assay for pharmaceutical and biomedical research to test the effects of a variety of treatments on cultured primary cells or cell lines. For immunological studies, the ability to perform rapid cell proliferation analysis allows the identification of potential biological reagents for inducing or inhibiting immune cell proliferation. Current cell proliferation analysis methods employ flow cytometry for fluorescence detection of CFSE-labeled cells. However, conventional flow cytometers require a considerable amount of cells per sample, which becomes an issue for kinetic measurements with rare cell population due to the lack of samples for flow cytometric analyses at multiple time points during proliferation period. Here we report the development of a novel cell proliferation kinetic detection method for low cell concentration samples using the new Cellometer Vision system. Since the Cellometer system requires only 20 μl of sample, cell proliferation can be measured at multiple time points over the entire culturing period, whereas typically, flow cytometry is only performed at the end of the proliferation period. To validate the detection method, B1 and B2 B cells were treated with a B cell mitogen for 6 days, and proliferation was measured using Cellometer on day 1, 3, 5, and 6. To demonstrate the capability of the system, B1 B cells were treated with a panel of TLR agonists (Pam3Cys, PolyIC, CLO97, and CpG) for 7 days, and proliferation was measured on day 2, 4, 6, and 7. Cellometer image-based cytometry (IBC) was able to obtain proliferation results on each day with the last time point comparable to flow cytometry. This novel method allows for kinetic measurements of the rare cell samples such as B1 B cell, which has the potential to revolutionize kinetic analysis of cell proliferation. Copyright Â
© 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22265885     DOI: 10.1016/j.jim.2012.01.006

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  5 in total

1.  A novel image-based cytometry method for autophagy detection in living cells.

Authors:  Leo Li-Ying Chan; Dee Shen; Alisha R Wilkinson; Wayne Patton; Ning Lai; Eric Chan; Dmitry Kuksin; Bo Lin; Jean Qiu
Journal:  Autophagy       Date:  2012-08-16       Impact factor: 16.016

2.  A high-throughput AO/PI-based cell concentration and viability detection method using the Celigo image cytometry.

Authors:  Leo Li-Ying Chan; Tim Smith; Kendra A Kumph; Dmitry Kuksin; Sarah Kessel; Olivier Déry; Scott Cribbes; Ning Lai; Jean Qiu
Journal:  Cytotechnology       Date:  2016-08-03       Impact factor: 2.058

3.  Use of image cytometry for quantification of pathogenic fungi in association with host cells.

Authors:  Charlotte Berkes; Leo Li-Ying Chan; Alisha Wilkinson; Benjamin Paradis
Journal:  J Vis Exp       Date:  2013-06-19       Impact factor: 1.355

4.  Discriminating multiplexed GFP reporters in primary articular chondrocyte cultures using image cytometry.

Authors:  Leo Li-Ying Chan; Jianping Huang; Yusuke Hagiwara; Leonardo Aguila; David Rowe
Journal:  J Fluoresc       Date:  2014-04-13       Impact factor: 2.217

5.  Novel image cytometric method for detection of physiological and metabolic changes in Saccharomyces cerevisiae.

Authors:  Leo L Chan; Alexandria Kury; Alisha Wilkinson; Charlotte Berkes; Alnoor Pirani
Journal:  J Ind Microbiol Biotechnol       Date:  2012-08-05       Impact factor: 3.346

  5 in total

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