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Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes

Sharma, Amitabh (author)
Dana-Farber Cancer Institute,Harvard Medical School
Halu, Arda (author)
Harvard Medical School
Decano, Julius L. (author)
Harvard Medical School
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Padi, Megha (author)
University of Arizona
Liu, Yang-yu (author)
Harvard Medical School
Prasad, Rashmi B. (author)
Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups,Skåne University Hospital
Fadista, Joao (author)
Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups,Skåne University Hospital
Santolini, Marc (author)
Northeastern University,Harvard Medical School
Menche, Jörg (author)
Northeastern University,CeMM Research Center for Molecular Medicine
Weiss, Scott T. (author)
Harvard Medical School
Vidal, Marc (author)
Dana-Farber Cancer Institute,Harvard Medical School
Silverman, Edwin K. (author)
Harvard Medical School
Aikawa, Masanori (author)
Harvard Medical School
Barabási, Albert-lászló (author)
Central European University, Budapest,Harvard Medical School,Northeastern University,Dana-Farber Cancer Institute
Groop, Leif (author)
Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups,Skåne University Hospital
Loscalzo, Joseph (author)
Harvard Medical School
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 (creator_code:org_t)
2018-07-03
2018
English.
In: npj Systems Biology and Applications. - : Springer Science and Business Media LLC. - 2056-7189. ; 4:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Probing the dynamic control features of biological networks represents a new frontier in capturing the dysregulated pathways in complex diseases. Here, using patient samples obtained from a pancreatic islet transplantation program, we constructed a tissue-specific gene regulatory network and used the control centrality (Cc) concept to identify the high control centrality (HiCc) pathways, which might serve as key pathobiological pathways for Type 2 Diabetes (T2D). We found that HiCc pathway genes were significantly enriched with modest GWAS p-values in the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) study. We identified variants regulating gene expression (expression quantitative loci, eQTL) of HiCc pathway genes in islet samples. These eQTL genes showed higher levels of differential expression compared to non-eQTL genes in low, medium, and high glucose concentrations in rat islets. Among genes with highly significant eQTL evidence, NFATC4 belonged to four HiCc pathways. We asked if the expressions of T2D-associated candidate genes from GWAS and literature are regulated by Nfatc4 in rat islets. Extensive in vitro silencing of Nfatc4 in rat islet cells displayed reduced expression of 16, and increased expression of four putative downstream T2D genes. Overall, our approach uncovers the mechanistic connection of NFATC4 with downstream targets including a previously unknown one, TCF7L2, and establishes the HiCc pathways’ relationship to T2D.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

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