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Non-coding RNAs in Colorectal Cancer

Overview of attention for book
Attention for Chapter 4: Interplay Between Transcription Factors and MicroRNAs Regulating Epithelial-Mesenchymal Transitions in Colorectal Cancer.
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Chapter title
Interplay Between Transcription Factors and MicroRNAs Regulating Epithelial-Mesenchymal Transitions in Colorectal Cancer.
Chapter number 4
Book title
Non-coding RNAs in Colorectal Cancer
Published in
Advances in experimental medicine and biology, August 2016
DOI 10.1007/978-3-319-42059-2_4
Pubmed ID
Book ISBNs
978-3-31-942057-8, 978-3-31-942059-2
Authors

Markus Kaller, Heiko Hermeking

Editors

Ondrej Slaby, George A. Calin

Abstract

The epithelial-mesenchymal-transition (EMT) represents a morphogenetic program involved in developmental processes such as gastrulation and neural crest formation. The EMT program is co-opted by epithelial tumor cells and endows them with features necessary for spreading to distant sites, such as invasion, migration, apoptosis resistance and stemness. Thereby, EMT facilitates metastasis formation and therapy resistance. A growing number of transcription factors has been implicated in the regulation of EMT. These include EMT-inducing transcription factors (EMT-TFs), the most prominent being SNAIL, SLUG, ZEB1, ZEB2 and TWIST, and negative regulators of EMT, such as p53. Furthermore, a growing number of microRNAs, such as members of the miR-200 and miR-34 family, have been characterized as negative regulators of EMT. EMT-TFs and microRNAs, such as ZEB1/2 and miR-200 or SNAIL and miR-34, are often engaged in double-negative feedback loops forming bistable switches controlling the transitions from epithelial to the mesenchymal cell states. Within this chapter, we will provide a comprehensive overview over the transcription factors and microRNAs that have been implicated in the regulation of EMT in colorectal cancer. Furthermore, we will highlight the regulatory connections between EMT-TFs and miRNAs to illustrate common principles of their interaction that regulate EMTs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Ph. D. Student 5 17%
Student > Master 4 14%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 1 3%
Unknown 9 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Medicine and Dentistry 6 21%
Agricultural and Biological Sciences 2 7%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 12 41%