دورية أكاديمية

Prediction of RNA Polymerase II recruitment, elongation and stalling from histone modification data

التفاصيل البيبلوغرافية
العنوان: Prediction of RNA Polymerase II recruitment, elongation and stalling from histone modification data
المؤلفون: Chen Yun, Jørgensen Mette, Kolde Raivo, Zhao Xiaobei, Parker Brian, Valen Eivind, Wen Jiayu, Sandelin Albin
المصدر: BMC Genomics, Vol 12, Iss 1, p 544 (2011)
بيانات النشر: BMC, 2011.
سنة النشر: 2011
المجموعة: LCC:Biotechnology
LCC:Genetics
مصطلحات موضوعية: Biotechnology, TP248.13-248.65, Genetics, QH426-470
الوصف: Abstract Background Initiation and elongation of RNA polymerase II (RNAPII) transcription is regulated by both DNA sequence and chromatin signals. Recent breakthroughs make it possible to measure the chromatin state and activity of core promoters genome-wide, but dedicated computational strategies are needed to progress from descriptive annotation of data to quantitative, predictive models. Results Here, we describe a computational framework which with high accuracy can predict the locations of core promoters, the amount of recruited RNAPII at the promoter, the amount of elongating RNAPII in the gene body, the mRNA production originating from the promoter and finally also the stalling characteristics of RNAPII by considering both quantitative and spatial features of histone modifications around the transcription start site (TSS). As the model framework can also pinpoint the signals that are the most influential for prediction, it can be used to infer underlying regulatory biology. For example, we show that the H3K4 di- and tri- methylation signals are strongly predictive for promoter location while the acetylation marks H3K9 and H3K27 are highly important in estimating the promoter usage. All of these four marks are found to be necessary for recruitment of RNAPII but not sufficient for the elongation. We also show that the spatial distributions of histone marks are almost as predictive as the signal strength and that a set of histone marks immediately downstream of the TSS is highly predictive of RNAPII stalling. Conclusions In this study we introduce a general framework to accurately predict the level of RNAPII recruitment, elongation, stalling and mRNA expression from chromatin signals. The versatility of the method also makes it ideally suited to investigate other genomic data.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1471-2164
Relation: http://www.biomedcentral.com/1471-2164/12/544; https://doaj.org/toc/1471-2164
DOI: 10.1186/1471-2164-12-544
URL الوصول: https://doaj.org/article/66f74e577445413b819bc613daa139ac
رقم الأكسشن: edsdoj.66f74e577445413b819bc613daa139ac
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14712164
DOI:10.1186/1471-2164-12-544