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A Significant Regulatory Mutation Burden at a High-Affinity Position of the CTCF Motif in Gastrointestinal Cancers

Umer, Husen M. (author)
Uppsala universitet,Beräkningsbiologi och bioinformatik,Science for Life Laboratory, SciLifeLab
Cavalli, Marco (author)
Uppsala universitet,Medicinsk genetik och genomik,Science for Life Laboratory, SciLifeLab
Dabrowski, Michal J. (author)
Polish Acad Sci, Inst Comp Sci, PL-01248 Warsaw, Poland.
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Diamanti, Klev (author)
Uppsala universitet,Beräkningsbiologi och bioinformatik,Science for Life Laboratory, SciLifeLab
Kruczyk, Marcin (author)
Uppsala universitet,Institutionen för cell- och molekylärbiologi,Science for Life Laboratory, SciLifeLab
Pan, Gang (author)
Uppsala universitet,Medicinsk genetik och genomik,Science for Life Laboratory, SciLifeLab
Komorowski, Jan (author)
Uppsala universitet,Beräkningsbiologi och bioinformatik,Science for Life Laboratory, SciLifeLab,Polish Acad Sci, Inst Comp Sci, PL-01248 Warsaw, Poland.
Wadelius, Claes (author)
Uppsala universitet,Medicinsk genetik och genomik,Science for Life Laboratory, SciLifeLab
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 (creator_code:org_t)
2016-06-02
2016
English.
In: Human Mutation. - : Hindawi Limited. - 1059-7794 .- 1098-1004. ; 37:9, s. 904-913
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Somatic mutations drive cancer and there are established ways to study those in coding sequences. It has been shown that some regulatory mutations are over-represented in cancer. We develop a new strategy to find putative regulatory mutations based on experimentally established motifs for transcription factors (TFs). In total, we find 1,552 candidate regulatory mutations predicted to significantly reduce binding affinity of many TFs in hepatocellular carcinoma and affecting binding of CTCF also in esophagus, gastric, and pancreatic cancers. Near mutated motifs, there is a significant enrichment of (1) genes mutated in cancer, (2) tumor-suppressor genes, (3) genes in KEGG cancer pathways, and (4) sets of genes previously associated to cancer. Experimental and functional validations support the findings. The strategy can be applied to identify regulatory mutations in any cell type with established TF motifs and will aid identifications of genes contributing to cancer.

Keyword

mutated binding sites
motifs
noncoding regulatory regions
CTCF
driver mutations
whole-genome sequencing
WGS

Publication and Content Type

ref (subject category)
art (subject category)

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