Unknown,Transcriptomics,Genomics,Proteomics

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A systematic analysis of the time series gene expression in TGF-beta induced EMT by Next-generation sequencing


ABSTRACT: The goal of this study is to characterize time course gene expression profiles during TGF-beta induced EMT. In particular, we aim to identify and characterize master transcription factors regulate the transition into partial-EMT state. A time series mRNA profile in A549 cells is generated from TGF-beta induced EMT samples during 0h,6h,12h,24h,36h,48h,72h and 96h by deep sequencing, in duplicate, using Illumina HiSeq 2500

ORGANISM(S): Homo sapiens

SUBMITTER: Mengzhu Xue 

PROVIDER: E-GEOD-69667 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Synergistic action of master transcription factors controls epithelial-to-mesenchymal transition.

Chang Hongyuan H   Liu Yuwei Y   Xue Mengzhu M   Liu Haiyue H   Du Shaowei S   Zhang Liwen L   Wang Peng P  

Nucleic acids research 20160228 6


Epithelial-to-mesenchymal transition (EMT) is a complex multistep process in which phenotype switches are mediated by a network of transcription factors (TFs). Systematic characterization of all dynamic TFs controlling EMT state transitions, especially for the intermediate partial-EMT state, represents a highly relevant yet largely unexplored task. Here, we performed a computational analysis that integrated time-course EMT transcriptomic data with public cistromic data and identified three syner  ...[more]

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