Evidence map›Paper›PMID 28331816›Full record

ArticleBiomolecular detection and quantification2017

Inhibition of fat cell differentiation in 3T3-L1 pre-adipocytes by all-trans retinoic acid: Integrative analysis of transcriptomic and phenotypic data.

Katharina Stoecker, Steffen Sass, Fabian J Theis, Hans Hauner, Michael W Pfaffl

Open access · hybridAbstract read
In one paragraph

Article in Biomolecular detection and quantification, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Inhibitory Effect of Bacterial Lysates Extracted fromInternational journal of molecular sciences · 2022
    Article
  6. Retinol Binding Protein 7 Promotes AdipogenesisFrontiers in cell and developmental biology · 2022
    Article
  7. Article
  8. Article
  9. Raman image-activated cell sorting.Nature communications · 2020
    Article
  10. Retinoic acid and microRNA.Methods in enzymology · 2020
    Article
  11. Article
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

5 authors at 3 institutions in 1 country.

Katharina StoeckerAnimal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.
Steffen SassInstitute of Computational Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Oberschleißheim, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Oberschleißheim, Germany; Department of Mathematics, Technical University of Munich, Garching, Germany.
Hans HaunerElse-Kröner-Fresenius-Centre for Nutritional Medicine, ZIEL Research Center for Nutrition and Food Sciences, Technical University of Munich, Freising, Germany; Else Kröner-Fresenius-Centre for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Michael W PfafflAnimal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.
Technical University of Munich · DEInstitute of Bioinformatics and Systems Biology · DEKlinikum rechts der Isar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of adipogenesis is controlled in a highly orchestrated manner, including transcriptional and post-transcriptional events. In developing 3T3-L1 pre-adipocytes, this program can be interrupted by all-trans retinoic acid (ATRA). To examine this inhibiting impact by ATRA, we generated large-scale transcriptomic data on the microRNA and mRNA level. Non-coding RNAs such as microRNAs represent a field in RNA turnover, which is very important for understanding the regulation of mRNA gene expression. High throughput mRNA and microRNA expression profiling was performed using mRNA hybridisation microarray technology and multiplexed expression assay for microRNA quantification. After quantitative measurements we merged expression data sets, integrated the results and analysed the molecular regulation of

Indexed as

3T3-L1 cellsAdipogenesisAll-trans retinoic acid (ATRA)MicroRNA–mRNA interactionMultiple linear regression modelsRegulation of biological pathways

Identifiers

PMID28331816
PMCPMC5348118
OpenAlexW2549804052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.