Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Prediction of gene activity based on an integrated multi-omics approach.


ABSTRACT: An increasingly common method for predicting gene activity is genome-wide chromatin immunoprecipitation of M-bM-^@M-^XactiveM-bM-^@M-^Y chromatin modifications followed by massively parallel sequencing (ChIP-seq). Using a novel ChIP-seq quantification method (cRPKM), we tested the power of such ChIP-seq strategies to predict relative protein and RNA levels at the pre-pro-B and pro-B differentiation stages in early B cell lymphopoiesis. Using a multi-omics approach that compares promoter chromatin status (ChIP-seq; published in GSE:21978) with ongoing active transcription (GRO-seq; published in GSE:40173), steady state mRNA (RNA-seq), inferred mRNA stability, and relative proteome abundance measurements (iTRAQ), we demonstrate that active chromatin modifications at promoters are a good indi

ORGANISM(S): Mus musculus

SUBMITTER: Karen Reddy 

PROVIDER: E-GEOD-52450 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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