COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Immunology in Pathology > A quantitative view of gene expression levels in the T helper cell system
A quantitative view of gene expression levels in the T helper cell systemAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Sue Griffin. Host: Nick Holmes (nh106@cam.ac.uk) Gene expression levels are believed to be continuously distributed from very low to very high levels, with most genes at an intermediate level. We have studied the transcriptome-wide distribution of expression levels in mouse T helper cells using RNA -seq technology, and have developed a variety of ways to model the expected background levels. This is critical for definition of a threshold level of expression of a gene in a given cell type. In order to calibrate the RNA -seq expression levels in terms of molecules of mRNA per cell, we have integrated the RNA -seq data with single molecule mRNA-FISH experiments. The results of these analyses and experiments show that many genes are expressed at > ~ 1 molecule per cell and that two major expression levels can be identified which vary by roughly one to two orders of magnitude. This gives rise to bimodal distributions of gene expression levels in cell populations. Analysis of histone modifications by ChIP-seq indicates that activating modifications such as H3K9 /14ac and H3K4me3 are involved in this ‘digital’ expression switch. Our findings have broad implications for the analysis RNA -seq and ChIP-seq data and for the understanding of the regulation of gene expression. References Hebenstreit, D., Fang, M., Gu, M. Charoensawan, V., van Oudenaarden, A. & Teichmann, S.A. (2011) RNA sequencing reveals two major classes of gene expression levels in metazoan cells. Mol. Sys. Biol., 7:497. Hebenstreit, D., Gu, M., Haider, S., Turner, D., Lio, P. & Teichmann S.A. (2011) EpiChIP: gene-by-gene quantification of epigenetic modification levels. Nucleic Acids Res., 39, e27 Hebenstreit, D., Deonarine, A., Babu, M.M. & Teichmann, S.A. (2012) Duel of the fates: the role of transcriptional circuits and noise in CD4 + cells. Curr Op Cell Biol., in press. This talk is part of the Immunology in Pathology series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCambridge University Arab Society Cambridge Screen Media Group Thin-Film Magnetism GroupOther talksProtein Folding, Evolution and Interactions Symposium Superconformal quantum mechanics and integrability Slaying (or at least taming) a dreadful monster: Louis de Serres' treatise of 1625 for women suffering from infertility Adrian Seminar: Ensemble coding in amygdala circuits Horizontal transfer of antimicrobial resistance drives multi-species population level epidemics 'Ways of Reading, Looking, and Imagining: Contemporary Fiction and Its Optics' Computing High Resolution Health(care) Cyclic Peptides: Building Blocks for Supramolecular Designs The Rise of Augmented Intelligence in Edge Networks |