Time-resolved analysis of transcriptional events during SNAI1-triggered epithelial to mesenchymal transition

Autor: Michèle Moes, Laurent Vallar, Arnaud Muller, Evelyne Friederich, A. Le Bechec, Jean-Denis Muller, Olivier Poch, Guillaume Vetter, Z. Al Tanoury, Mikalai M. Yatskou
Přispěvatelé: Peney, Maité, Cytoskeleton and Cell Plasticity Lab, Université du Luxembourg (Uni.lu), Centre de Recherche Public Santé, CRP-Santé Luxembourg, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2009
Předmět:
MESH: Cell Line
Tumor
Transcription
Genetic
Biophysics
Gene regulatory network
Biology
Biochemistry
Mesoderm
MESH: Gene Expression Profiling
Cell Line
Tumor
[SDV.BBM] Life Sciences [q-bio]/Biochemistry
Molecular Biology
Humans
[SDV.BBM]Life Sciences [q-bio]/Biochemistry
Molecular Biology
Epithelial–mesenchymal transition
Molecular Biology
Transcription factor
MESH: Mesoderm
MESH: Humans
Microarray analysis techniques
Gene Expression Profiling
MESH: Transcription
Genetic
Mesenchymal stem cell
Epithelial Cells
MESH: Transcription Factors
Cell Biology
Cell Dedifferentiation
MESH: Cell Dedifferentiation
MESH: Gene Expression Regulation
Cell biology
Gene Expression Regulation
MESH: Epithelial Cells
Tumor progression
embryonic structures
SNAI1
Snail Family Transcription Factors
Functional genomics
Transcription Factors
Zdroj: Biochemical and Biophysical Research Communications
Biochemical and Biophysical Research Communications, 2009, 385 (4), pp.485-91. ⟨10.1016/j.bbrc.2009.05.025⟩
ISSN: 0006-291X
1090-2104
Popis: International audience; The transcription regulator SNAI1 triggers a transcriptional program leading to epithelial to mesenchymal transition (EMT), providing epithelial cells with mesenchymal features and invasive properties during embryonic development and tumor progression. To identify early transcriptional changes occurring during SNAI1-induced EMT, we performed a time-resolved genome-scale study using human breast carcinoma cells conditionally expressing SNAI1. The approach we developed for microarray data analysis, allowed identifying three distinct EMT stages and the temporal classification of genes. Importantly, we identified unexpected, biphasic expression profiles of EMT-associated genes, supporting their pivotal role during this process. Finally, we established early EMT gene networks by identifying transcription factors and their potential targets which may orchestrate early events of EMT. Collectively, our work provides a framework for the identification and future systematic analysis of novel genes which contribute to SNAI1-triggered EMT.
Databáze: OpenAIRE
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