scholarly journals Functionally Coherent Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling

2018 ◽  
Author(s):  
Ian M. Overton ◽  
Andrew H. Sims ◽  
Jeremy A. Owen ◽  
Bret S. E. Heale ◽  
Matthew J. Ford ◽  
...  

SummaryCell identity is governed by gene expression, regulated by Transcription Factor (TF) binding at cis-regulatory modules. We developed the NetNC software to decode the relationship between TF binding and the regulation of cognate target genes in cell decision-making; demonstrated on nine datasets for the Snail and Twist TFs, and also modENCODE ‘HOT’ regions. Results illuminated conserved molecular networks controlling development and disease, with implications for precision medicine. Predicted ‘neutral’ TF binding accounted for the majority (50% to ≥80%) of candidate target genes from statistically significant peaks and HOT regions had high functional coherence. Expression of orthologous functional TF targets discriminated breast cancer molecular subtypes and predicted novel tumour biology. We identified new gene functions and network modules including crosstalk with notch signalling and regulation of chromatin organisation, evidencing networks that reshape Waddington’s landscape during epithelial remodelling. Predicted invasion roleswere validated using a tractable cell model, supporting our computational approach.

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2823
Author(s):  
Ian M. Overton ◽  
Andrew H. Sims ◽  
Jeremy A. Owen ◽  
Bret S. E. Heale ◽  
Matthew J. Ford ◽  
...  

Cell identity is governed by gene expression, regulated by transcription factor (TF) binding at cis-regulatory modules. Decoding the relationship between TF binding patterns and gene regulation is nontrivial, remaining a fundamental limitation in understanding cell decision-making. We developed the NetNC software to predict functionally active regulation of TF targets; demonstrated on nine datasets for the TFs Snail, Twist, and modENCODE Highly Occupied Target (HOT) regions. Snail and Twist are canonical drivers of epithelial to mesenchymal transition (EMT), a cell programme important in development, tumour progression and fibrosis. Predicted “neutral” (non-functional) TF binding always accounted for the majority (50% to 95%) of candidate target genes from statistically significant peaks and HOT regions had higher functional binding than most of the Snail and Twist datasets examined. Our results illuminated conserved gene networks that control epithelial plasticity in development and disease. We identified new gene functions and network modules including crosstalk with notch signalling and regulation of chromatin organisation, evidencing networks that reshape Waddington’s epigenetic landscape during epithelial remodelling. Expression of orthologous functional TF targets discriminated breast cancer molecular subtypes and predicted novel tumour biology, with implications for precision medicine. Predicted invasion roles were validated using a tractable cell model, supporting our approach.


Genomics ◽  
2017 ◽  
Vol 109 (2) ◽  
pp. 75-82 ◽  
Author(s):  
Mirana Ramialison ◽  
Ashley J. Waardenberg ◽  
Nicole Schonrock ◽  
Tram Doan ◽  
Danielle de Jong ◽  
...  

2014 ◽  
Vol 31 (6) ◽  
pp. 761-773 ◽  
Author(s):  
Emily Clough ◽  
Erin Jimenez ◽  
Yoo-Ah Kim ◽  
Cale Whitworth ◽  
Megan C. Neville ◽  
...  

FEBS Journal ◽  
2008 ◽  
Vol 275 (12) ◽  
pp. 3178-3192 ◽  
Author(s):  
Ralf Mrowka ◽  
Nils Blüthgen ◽  
Michael Fähling

2013 ◽  
Vol 58 (5) ◽  
pp. 403-408 ◽  
Author(s):  
Seo Young Bang ◽  
Jeong Hoon Kim ◽  
Phil Young Lee ◽  
Seung-Wook Chi ◽  
Sayeon Cho ◽  
...  

Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 995
Author(s):  
Xuhua Xia

Trees and their seeds regulate their germination, growth, and reproduction in response to environmental stimuli. These stimuli, through signal transduction, trigger transcription factors that alter the expression of various genes leading to the unfolding of the genetic program. A regulon is conceptually defined as a set of target genes regulated by a transcription factor by physically binding to regulatory motifs to accomplish a specific biological function, such as the CO-FT regulon for flowering timing and fall growth cessation in trees. Only with a clear characterization of regulatory motifs, can candidate target genes be experimentally validated, but motif characterization represents the weakest feature of regulon research, especially in tree genetics. I review here relevant experimental and bioinformatics approaches in characterizing transcription factors and their binding sites, outline problems in tree regulon research, and demonstrate how transcription factor databases can be effectively used to aid the characterization of tree regulons.


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