Evidence map›Paper›PMID 27803022›Full record

ArticleDiabetes2017

Transcriptional Dynamics During Human Adipogenesis and Its Link to Adipose Morphology and Distribution.

Anna Ehrlund, Niklas Mejhert, Christel Björk, Robin Andersson, Agné Kulyté, Gaby Åström, Masayoshi Itoh, Hideya Kawaji, Timo Lassmann, Carsten O Daub and 10 more

Abstract read
In one paragraph

Article in Diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. LMO3 reprograms visceral adipocyte metabolism during obesity.Journal of molecular medicine (Berlin, Germany) · 2021
    Article
  13. Review
  14. Article
  15. Molecular mechanisms of fat deposition:Archives animal breeding · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Anna EhrlundDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Niklas MejhertDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Christel BjörkDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Robin AnderssonThe Bioinformatics Centre, Department of Biology, and Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Agné KulytéDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Gaby ÅströmDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Masayoshi ItohDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan.
Hideya KawajiDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan.
Timo LassmannDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan.
Carsten O DaubDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan.
Piero CarninciDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan.
Alistair R R ForrestDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan.
Yoshihide HayashizakiRIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan.
Albin SandelinThe Bioinformatics Centre, Department of Biology, and Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Erik IngelssonMolecular Epidemiology, Department of Medical Sciences, and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
FANTOM Consortium
Mikael RydénDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Jurga LaurencikieneDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Peter ArnerDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden erik.arner@riken.jp peter.arner@ki.se.
Erik ArnerDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden erik.arner@riken.jp peter.arner@ki.se.

Funding

Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
NIDDK NIH HHS R01 DK106236
6 · The paper itself

Abstract

White adipose tissue (WAT) can develop into several phenotypes with different pathophysiological impact on type 2 diabetes. To better understand the adipogenic process, the transcriptional events that occur during in vitro differentiation of human adipocytes were investigated and the findings linked to WAT phenotypes. Single-molecule transcriptional profiling provided a detailed map of the expressional changes of genes, enhancers, and long noncoding RNAs, where different types of transcripts share common dynamics during differentiation. Common signatures include early downregulated, transient, and late induced transcripts, all of which are linked to distinct developmental processes during adipogenesis. Enhancers expressed during adipogenesis overlap significantly with genetic variants associated with WAT distribution. Transiently expressed and late induced genes are associated with hypertrophic WAT (few but large fat cells), a phenotype closely linked to insulin resistance and type 2 diabetes. Transcription factors that are expressed early or transiently affect differentiation and adipocyte function and are controlled by several well-known upstream regulators such as glucocorticosteroids, insulin, cAMP, and thyroid hormones. Taken together, our results suggest a complex but highly coordinated regulation of adipogenesis.

Indexed as

AdipocytesAdipogenesisAdipose Tissue, WhiteAdiposityCell DifferentiationCells, CulturedDiabetes Mellitus, Type 2HumansInsulin ResistanceLipolysisPrincipal Component AnalysisRNA, Small InterferingTranscription FactorsRNA, Small InterferingTranscription Factors

Identifiers

PMID27803022
PMCPMC5860264

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.