2009
DOI: 10.1126/science.1179050
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Unbiased Reconstruction of a Mammalian Transcriptional Network Mediating Pathogen Responses

Abstract: Models of mammalian regulatory networks controlling gene expression have been inferred from genomic data, yet have largely not been validated. We present an unbiased strategy to systematically perturb candidate regulators and monitor cellular transcriptional responses. We apply this approach to derive regulatory networks that control the transcriptional response of mouse primary dendritic cells (DCs) to pathogens. Our approach revealed the regulatory functions of 125 transcription factors, chromatin modifiers,… Show more

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Cited by 445 publications
(594 citation statements)
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“…These data indicate that the α-and β-cell lines used are significantly different in baseline gene-expression patterns, despite being of closely related developmental origins and derived with an identical strategy of SV40 large T antigen overexpression (25,26). Compared with expression profiles of mouse cell lines derived from other tissues (27,28), α cells are approximately two-to threefold more similar to β cells than to bone marrow dendritic cells or embryonic stem cells (SI Appendix, Fig. S2B).…”
Section: Resultsmentioning
confidence: 90%
“…These data indicate that the α-and β-cell lines used are significantly different in baseline gene-expression patterns, despite being of closely related developmental origins and derived with an identical strategy of SV40 large T antigen overexpression (25,26). Compared with expression profiles of mouse cell lines derived from other tissues (27,28), α cells are approximately two-to threefold more similar to β cells than to bone marrow dendritic cells or embryonic stem cells (SI Appendix, Fig. S2B).…”
Section: Resultsmentioning
confidence: 90%
“…Alternative promoter and polyadenylation usage are two key mechanisms by which expression can be controlled transcriptionally or post-transcriptionally (Elkon et al 2013;de Klerk and 't Hoen 2015). Although the response of mBMDCs to LPS has been extensively characterized (Amit et al 2009;Garber et al 2012;Rabani et al 2014;Jovanovic et al 2015), the exact contribution of these two mechanisms to the transcriptional response to LPS is largely unknown.…”
Section: A Methods Specifically Designed For End-sequence Quantificationmentioning
confidence: 99%
“…This is especially important for TLR4, the cellular receptor for LPS, a molecular signature of the outer cell membrane of Gram-negative bacteria (6). Activation of TLR4 by LPS affects the regulation of more than 1000 genes (7). Additionally, TLR4 signaling has been implicated in sterile inflammation through activation of the receptor by endogenous ligands (8 -14).…”
mentioning
confidence: 99%