Literature DB >> 17611236

The flow of cytometry into systems biology.

John P Nolan1, Loretta Yang.   

Abstract

Biomedical research is evolving to address biological systems as molecular pathways integrated into complex networks. Tools for molecular and cell analysis are also evolving to address the new challenges and opportunities of this approach. Flow cytometry is a versatile analytical platform, capable of high speed quantitative measurements of cells and other particles. These capabilities are being exploited and extended in a range of new applications stemming from opportunities presented by the advances of genomics, proteomics and systems biology, which are in turn impacting clinical diagnosis, vaccine development and drug discovery. In this review, we highlight some of these advances and consider the future evolution of flow cytometry technology.

Mesh:

Year:  2007        PMID: 17611236     DOI: 10.1093/bfgp/elm011

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  11 in total

1.  Identification of a small molecule yeast TORC1 inhibitor with a multiplex screen based on flow cytometry.

Authors:  Jun Chen; Susan M Young; Chris Allen; Andrew Seeber; Marie-Pierre Péli-Gulli; Nicolas Panchaud; Anna Waller; Oleg Ursu; Tuanli Yao; Jennifer E Golden; J Jacob Strouse; Mark B Carter; Huining Kang; Cristian G Bologa; Terry D Foutz; Bruce S Edwards; Blake R Peterson; Jeffrey Aubé; Margaret Werner-Washburne; Robbie J Loewith; Claudio De Virgilio; Larry A Sklar
Journal:  ACS Chem Biol       Date:  2012-02-01       Impact factor: 5.100

Review 2.  Cell-based screening using high-throughput flow cytometry.

Authors:  Christopher B Black; Thomas D Duensing; Linda S Trinkle; R Terry Dunlay
Journal:  Assay Drug Dev Technol       Date:  2010-11-04       Impact factor: 1.738

3.  High throughput flow cytometry based yeast two-hybrid array approach for large-scale analysis of protein-protein interactions.

Authors:  Jun Chen; Mark B Carter; Bruce S Edwards; Hong Cai; Larry A Sklar
Journal:  Cytometry A       Date:  2011-09-27       Impact factor: 4.355

Review 4.  Flow cytometry and laser scanning cytometry, a comparison of techniques.

Authors:  William J Mach; Amanda R Thimmesch; James A Orr; Joyce G Slusser; Janet D Pierce
Journal:  J Clin Monit Comput       Date:  2010-07-13       Impact factor: 2.502

5.  Simultaneous analysis of p53 protein expression and cell proliferation in irradiated human lymphocytes by flow cytometry.

Authors:  Rafael de Freitas E Silva; Neyliane Frassinetti Gonçalves Dos Santos; Valéria Rěgo Alves Pereira; Ademir Amaral
Journal:  Dose Response       Date:  2013-08-27       Impact factor: 2.658

Review 6.  An integrative paradigm to impart quality to correlative science.

Authors:  Michael Kalos
Journal:  J Transl Med       Date:  2010-03-16       Impact factor: 5.531

7.  High throughput single nanoparticle spectroscopy.

Authors:  David S Sebba; Dakota A Watson; John P Nolan
Journal:  ACS Nano       Date:  2009-06-23       Impact factor: 15.881

8.  SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, part 1: algorithm design.

Authors:  Iftekhar Naim; Suprakash Datta; Jonathan Rebhahn; James S Cavenaugh; Tim R Mosmann; Gaurav Sharma
Journal:  Cytometry A       Date:  2014-02-14       Impact factor: 4.355

9.  BayesFlow: latent modeling of flow cytometry cell populations.

Authors:  Kerstin Johnsson; Jonas Wallin; Magnus Fontes
Journal:  BMC Bioinformatics       Date:  2016-01-12       Impact factor: 3.169

Review 10.  Cellular Models and In Vitro Assays for the Screening of modulators of P-gp, MRP1 and BCRP.

Authors:  Mariline Gameiro; Renata Silva; Carolina Rocha-Pereira; Helena Carmo; Félix Carvalho; Maria de Lourdes Bastos; Fernando Remião
Journal:  Molecules       Date:  2017-04-08       Impact factor: 4.411

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