Pregled bibliografske jedinice broj: 488301
Histone modification levels are predictive for gene expression
Histone modification levels are predictive for gene expression // 18th Annual International Conference Intelligent Systems for Molecular Biology
Boston (MA), Sjedinjene Američke Države, 2010. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)
CROSBI ID: 488301 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Histone modification levels are predictive for gene expression
Autori
Karlić, Rosa ; Chung, Ho-Ryun ; Lasserre, Julia ; Vlahoviček, Kristian ; Vingron, Martin.
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
18th Annual International Conference Intelligent Systems for Molecular Biology
Mjesto i datum
Boston (MA), Sjedinjene Američke Države, 11.07.2010. - 13.07.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
histone modifications; regression analysis; transcription
Sažetak
Histones are frequently decorated with covalent modifications, which are involved in various chromatin-dependent processes. To elucidate the relationship between histone modifications and transcription, we derived quantitative models to predict expression levels of genes from histone modification levels. We found that histone modification levels and gene expression are highly correlated and showed that only a small number of histone modifications are necessary to accurately predict gene expression. We show that different sets of histone modifications are necessary to predict gene expression driven by high CpG content promoters (HCPs) or low CpG content promoters (LCPs). Quantitative models using H3K4me3 and H3K79me1 are the most predictive for expression of LCPs, whereas HCPs require H3K27ac and H4K20me1. We show that the connections between histone modifications and gene expression seem to be general, as we were able to predict gene expression levels of one cell type using a model trained on another one.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
POVEZANOST RADA
Projekti:
119-0982913-1211 - Računalna genomika mikrobnih okoliša i bioinformatika ekstremofila (Vlahoviček, Kristian, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb