Evidence map›Paper›PMID 24785298›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Identification of Hipk2 as an essential regulator of white fat development.

Jonas Sjölund, Facundo G Pelorosso, David A Quigley, Reyno DelRosario, Allan Balmain

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  5. HIPK2 directs cell type-specific regulation of STAT3 transcriptional activity in Th17 cell differentiation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
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  8. HIPK2 phosphorylates HDAC3 for NF-κB acetylation to ameliorate colitis-associated colorectal carcinoma and sepsis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. The nutrient sensor OGT regulates Hipk stability and tumorigenic-like activities inProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
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  15. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jonas SjölundHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94158.
Facundo G PelorossoHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94158.
David A QuigleyHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94158.
Reyno DelRosarioHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94158.
Allan BalmainHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94158 abalmain@cc.ucsf.edu.
UCSF Helen Diller Family Comprehensive Cancer Center · USUniversity of California, San Francisco · US

Funding

Identification of epithelial tumor susceptiility genesU01CA084244 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BALMAIN, ALLAN · 1999 to 2013
$13.3M
Science Leadership and IntegrationU01CA141455 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BALMAIN, ALLAN · 2009 to 2013
$3.2M
Genetic network analysis of cancer targetsU01CA176287 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WEISS, WILLIAM A · 2013 to 2016
$1.2M
NCI NIH HHS U01 CA084244NCI NIH HHS U01 CA141455NCI NIH HHS U01 CA176287NCI NIH HHS U01 CA84244
6 · The paper itself

Abstract

Homeodomain-interacting protein kinase 2 (Hipk2) has previously been implicated in the control of several transcription factors involved in embryonic development, apoptosis, cell proliferation, and tumor development, but very little is understood about the exact mechanisms through which Hipk2 influences these processes. Analysis of gene expression in normal tissues from genetically heterogeneous mouse or human populations can reveal network motifs associated with the structural or functional components of the tissue, and may predict roles for genes of unknown function. Here we have applied this network strategy to uncover a role for the Hipk2 gene in the transcriptional system controlling adipogenesis. Both in vitro and in vivo models were used to show that knockdown or loss of Hipk2 specifically inhibits white adipose cell differentiation and tissue development. In addition, loss of Hipk2 leads to induction of pockets of multilocular brown fat-like cells in remaining white adipose depots, which express markers of brown and beige fat such as uncoupling protein 1 and transmembrane protein 26. These changes are accompanied by increased insulin sensitivity in Hipk2 knockout mice and reduced high-fat diet-induced weight gain, highlighting a potential role for this kinase in diseases such as diabetes and obesity. Our study underscores the versatility and power of a readily available tissue, such as skin, for network modeling of systemic transcriptional programs involved in multiple pathways, including lipid metabolism and adipogenesis.

Indexed as

AdipogenesisGene Expression Regulation3T3-L1 CellsAdipocytesAdipose Tissue, BrownAdipose Tissue, WhiteAnimalsApoptosis Regulatory ProteinsCarrier ProteinsCell DifferentiationDiet, High-FatDNA FragmentationFemaleInsulinMaleMammary Glands, AnimalApoptosis Regulatory ProteinsCarrier ProteinsCidea protein, mouseHipk2 protein, mouseInsulinPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPAR gammaPpargc1a protein, mouseProtein Serine-Threonine KinasesTranscription Factors

Identifiers

PMID24785298
PMCPMC4034214
OpenAlexW2055187132

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.