scholarly journals Epistasis in a quantitative trait captured by a molecular model of transcription factor interactions

2010 ◽  
Vol 77 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Jason Gertz ◽  
Justin P. Gerke ◽  
Barak A. Cohen
2002 ◽  
Vol 6 (4) ◽  
pp. 491-495 ◽  
Author(s):  
Gerhard Behre ◽  
Venkateshwar A Reddy ◽  
Daniel G Tenen ◽  
Wolfgang Hiddemann ◽  
Abdul A Peer Zada ◽  
...  

2018 ◽  
Author(s):  
Shaleen Shrestha ◽  
Jared Allan Sewell ◽  
Clarissa Stephanie Santoso ◽  
Elena Forchielli ◽  
Sebastian Carrasco Pro ◽  
...  

ABSTRACTIdentifying transcription factor (TF) binding to noncoding variants, uncharacterized DNA motifs, and repetitive genomic elements has been technically and computationally challenging. Current experimental methods, such as chromatin immunoprecipitation, generally test one TF at a time, and computational motif algorithms often lead to false positive and negative predictions. To address these limitations, we developed two approaches based on enhanced yeast one-hybrid assays. The first approach interrogates the binding of >1,000 human TFs to repetitive DNA elements, while the second evaluates TF binding to single nucleotide variants, short insertions and deletions (indels), and novel DNA motifs. Using the first approach, we detected the binding of 75 TFs, including several nuclear hormone receptors and ETS factors, to the highly repetitive Alu elements. Using the second approach, we identified cancer-associated changes in TF binding, including gain of interactions involving ETS TFs and loss of interactions involving KLF TFs to different mutations in the TERT promoter, and gain of a MYB interaction with an 18 bp indel in the TAL1 super-enhancer. Additionally, we identified the TFs that bind to three uncharacterized DNA motifs identified in DNase footprinting assays. We anticipate that these approaches will expand our capabilities to study genetic variation and under-characterized genomic regions.


Epigenomics ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 613-630
Author(s):  
Vidya Chidambaran ◽  
Xue Zhang ◽  
Valentina Pilipenko ◽  
Xiaoting Chen ◽  
Benjamin Wronowski ◽  
...  

Background: Overlap of pathways enriched by single nucleotide polymorphisms and DNA-methylation underlying chronic postsurgical pain (CPSP), prompted pilot study of CPSP-associated methylation quantitative trait loci (meQTL). Materials & methods: Children undergoing spine-fusion were recruited prospectively. Logistic-regression for genome- and epigenome-wide CPSP association and DNA-methylation-single nucleotide polymorphism association/mediation analyses to identify meQTLs were followed by functional genomics analyses. Results: CPSP (n = 20/58) and non-CPSP groups differed in pain-measures. Of 2753 meQTLs, DNA-methylation at 127 cytosine–guanine dinucleotides mediated association of 470 meQTLs with CPSP (p < 0.05). At PARK16 locus, CPSP risk meQTLs were associated with decreased DNA-methylation at RAB7L1 and increased DNA-methylation at PM20D1. Corresponding RAB7L1/PM20D1 blood eQTLs (GTEx) and cytosine–guanine dinucleotide-loci enrichment for histone marks, transcription factor binding sites and ATAC-seq peaks suggest altered transcription factor-binding. Conclusion: CPSP-associated meQTLs indicate epigenetic mechanisms mediate genetic risk. Clinical trial registration: NCT01839461 , NCT01731873  (ClinicalTrials.gov).


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Başak Kandemir ◽  
Gizem Gulfidan ◽  
Kazim Yalcin Arga ◽  
Bayram Yilmaz ◽  
Isil Aksan Kurnaz

Abstract PEA3 transcription factor subfamily is present in a variety of tissues with branching morphogenesis, and play a particularly significant role in neural circuit formation and specificity. Many target genes in axon guidance and cell–cell adhesion pathways have been identified for Pea3 transcription factor (but not for Erm or Er81); however it was not so far clear whether all Pea3 subfamily members regulate same target genes, or whether there are unique targets for each subfamily member that help explain the exclusivity and specificity of these proteins in neuronal circuit formation. In this study, using transcriptomics and qPCR analyses in SH-SY5Y neuroblastoma cells, hypothalamic and hippocampal cell line, we have identified cell type-specific and subfamily member-specific targets for PEA3 transcription factor subfamily. While Pea3 upregulates transcription of Sema3D and represses Sema5B, for example, Erm and Er81 upregulate Sema5A and Er81 regulates Unc5C and Sema4G while repressing EFNB3 in SH-SY5Y neuroblastoma cells. We furthermore present a molecular model of how unique sites within the ETS domain of each family member can help recognize specific target motifs. Such cell-context and member-specific combinatorial expression profiles help identify cell–cell and cell-extracellular matrix communication networks and how they establish specific connections.


2017 ◽  
Vol 57 (4) ◽  
pp. 192-202 ◽  
Author(s):  
Lila E. Mullany ◽  
Jennifer S. Herrick ◽  
Roger K. Wolff ◽  
John R. Stevens ◽  
Wade Samowitz ◽  
...  

2001 ◽  
Vol 8 (3) ◽  
pp. 531-543 ◽  
Author(s):  
Hua Xiao ◽  
Raphael Sandaltzopoulos ◽  
Hih-Min Wang ◽  
Ali Hamiche ◽  
Ryan Ranallo ◽  
...  

Science ◽  
1990 ◽  
Vol 249 (4974) ◽  
pp. 1266-1272 ◽  
Author(s):  
M. Diamond ◽  
J. Miner ◽  
S. Yoshinaga ◽  
K. Yamamoto

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