Pregled bibliografske jedinice broj: 461057
Histone modification levels are predictive for gene expression
Histone modification levels are predictive for gene expression // Proceedings of the National Academy of Sciences of the United States of America, 107 (2010), 7; 2926-2931 doi:10.1073/pnas.0909344107 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 461057 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
Izvornik
Proceedings of the National Academy of Sciences of the United States of America (0027-8424) 107
(2010), 7;
2926-2931
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
high CpG content promoter ; low CpG content promoter ; regression analysis ; transcription
Sažetak
Histones are frequently decorated with covalent modifications. These histone modifications are thought to be involved in various chromatin-dependent processes including transcription. To elucidate the relationship between histone modifications and transcription, we derived quantitative models to predict the expression level of genes from histone modification levels. We found that histone modification levels and gene expression are very well correlated. Moreover, we show 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 involving H3K4me3 and H3K79me1 are the most predictive of the expression levels in LCPs, whereas HCPs require H3K27ac and H4K20me1. Finally, 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, Računarstvo
POVEZANOST RADA
Projekti:
119-0982913-1211 - Računalna genomika mikrobnih okoliša i bioinformatika ekstremofila (Vlahoviček, Kristian, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
- EconLit