Microarray analysis in B cells among siblings with/without MS - role for transcription factor TCF2

Abstract Background We investigated if global gene expression and transcription networks in B-lymphocytes of siblings with multiple sclerosis (MS) were different from healthy siblings. Results Using virus-transformed immortalized B cells and human whole genome bioarrays with validation using RT-qPCR, we found that in siblings with MS, genes for CXCL10, serpin B1 and FUT4 were up regulated whereas CDC5L, TNFRSF19 and HLA-DR were down regulated, among others; transcription analysis showed two intersecting clusters of transcriptional factors - the larger, governed by the upregulated transcription factor 2 (TCF2) and the smaller network regulated by the downregulated CDC5L. Conclusion No study has linked TCF2 to MS and to better understand the role of TCF2 in MS, studies in larger cohorts are required.</p

Microarray analysis in B cells among siblings with/without MS - role for transcription factor TCF2-2

<p><b>Copyright information:</b></p><p>Taken from "Microarray analysis in B cells among siblings with/without MS - role for transcription factor TCF2"</p><p>http://www.biomedcentral.com/1755-8794/1/2</p><p>BMC Medical Genomics 2008;1():2-2.</p><p>Published online 31 Jan 2008</p><p>PMCID:PMC2227948.</p><p></p> by circles while transcription factors are represented as rectangles. Green arrows indicate that the nodes at each end of the arrow are regulated in the same direction (up or down) while the red arrows connect the nodes that are anticorrelated

Microarray analysis in B cells among siblings with/without MS - role for transcription factor TCF2-0

<p><b>Copyright information:</b></p><p>Taken from "Microarray analysis in B cells among siblings with/without MS - role for transcription factor TCF2"</p><p>http://www.biomedcentral.com/1755-8794/1/2</p><p>BMC Medical Genomics 2008;1():2-2.</p><p>Published online 31 Jan 2008</p><p>PMCID:PMC2227948.</p><p></p> on the left while condition based tree is shown on the top

Systems based mapping demonstrates that recovery from alkylation damage requires DNA repair, RNA processing, and translation associated networks

AbstractThe identification of cellular responses to damage can promote mechanistic insight into stress signalling. We have screened a library of 3968 Escherichia coli gene-deletion mutants to identify 99 gene products that modulate the toxicity of the alkylating agent methyl methanesulfonate (MMS). We have developed an ontology mapping approach to identify functional categories over-represented with MMS-toxicity modulating proteins and demonstrate that, in addition to DNA re-synthesis (replication, recombination, and repair), proteins involved in mRNA processing and translation influence viability after MMS damage. We have also mapped our MMS-toxicity modulating proteins onto an E. coli protein interactome and identified a sub-network consisting of 32 proteins functioning in DNA repair, mRNA processing, and translation. Clustering coefficient analysis identified seven highly connected MMS-toxicity modulating proteins associated with translation and mRNA processing, with the high connectivity suggestive of a coordinated response. Corresponding results from reporter assays support the idea that the SOS response is influenced by activities associated with the mRNA-translation interface