Literature DB >> 12832448

RNA analysis of B cell lines arrested at defined stages of differentiation allows for an approximation of gene expression patterns during B cell development.

Panagiotis Tsapogas1, Thomas Breslin, Sven Bilke, Anna Lagergren, Robert Månsson, David Liberg, Carsten Peterson, Mikael Sigvardsson.   

Abstract

The development of a mature B lymphocyte from a bone marrow stem cell is a highly ordered process involving stages with defined features and gene expression patterns. To obtain a deeper understanding of the molecular genetics of this process, we have performed RNA expression analysis of a set of mouse B lineage cell lines representing defined stages of B cell development using Affymetrix microarrays. The cells were grouped based on their previously defined phenotypic features, and a gene expression pattern for each group of cell lines was established. The data indicated that the cell lines representing a defined stage generally presented a high similarity in overall expression profiles. Numerous genes could be identified as expressed with a restricted pattern using dCHIP-based, quantitative comparisons or presence/absence-based, probabilistic state analysis. These experiments provide a model for gene expression during B cell development, and the correctly identified expression patterns of a number of control genes suggest that a series of cell lines can be useful tools in the elucidation of the molecular genetics of a complex differentiation process.

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Year:  2003        PMID: 12832448     DOI: 10.1189/jlb.0103008

Source DB:  PubMed          Journal:  J Leukoc Biol        ISSN: 0741-5400            Impact factor:   4.962


  3 in total

1.  Disease swamps molecular signatures of genetic-environmental associations to abiotic factors in Tasmanian devil (Sarcophilus harrisii) populations.

Authors:  Alexandra K Fraik; Mark J Margres; Brendan Epstein; Soraia Barbosa; Menna Jones; Sarah Hendricks; Barbara Schönfeld; Amanda R Stahlke; Anne Veillet; Rodrigo Hamede; Hamish McCallum; Elisa Lopez-Contreras; Samantha J Kallinen; Paul A Hohenlohe; Joanna L Kelley; Andrew Storfer
Journal:  Evolution       Date:  2020-06-03       Impact factor: 3.694

2.  Zfp521 promotes B-cell viability and cyclin D1 gene expression in a B cell culture system.

Authors:  Salma Al Dallal; Kathryn Wolton; Kathryn E Hentges
Journal:  Leuk Res       Date:  2016-04-09       Impact factor: 3.156

3.  Probabilistic estimation of microarray data reliability and underlying gene expression.

Authors:  Sven Bilke; Thomas Breslin; Mikael Sigvardsson
Journal:  BMC Bioinformatics       Date:  2003-09-10       Impact factor: 3.169

  3 in total

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