Evidence map›Paper›PMID 22955979›Full record

ArticleGenome research2012

A highly integrated and complex PPARGC1A transcription factor binding network in HepG2 cells.

Alexandra E Charos, Brian D Reed, Debasish Raha, Anna M Szekely, Sherman M Weissman, Michael Snyder

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Next Generation Fecal Microbiota Transplantation: To Transplant Bacteria or Virome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Association of Genetic Variances inSports (Basel, Switzerland) · 2021
    Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Alexandra E CharosDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA.
Brian D Reed
Debasish Raha
Anna M Szekely
Sherman M Weissman
Michael Snyder
Yale University · US

Funding

Genomic Approaches to Understanding Metabolism and AgingF31HG004299 · NHGRI · YALE UNIVERSITY · PI CHAROS, ALEXANDRA E · 2006 to 2009
$94k
NHGRI NIH HHS F31 HG004299NHGRI NIH HHS F31HG004299
6 · The paper itself

Abstract

PPARGC1A is a transcriptional coactivator that binds to and coactivates a variety of transcription factors (TFs) to regulate the expression of target genes. PPARGC1A plays a pivotal role in regulating energy metabolism and has been implicated in several human diseases, most notably type II diabetes. Previous studies have focused on the interplay between PPARGC1A and individual TFs, but little is known about how PPARGC1A combines with all of its partners across the genome to regulate transcriptional dynamics. In this study, we describe a core PPARGC1A transcriptional regulatory network operating in HepG2 cells treated with forskolin. We first mapped the genome-wide binding sites of PPARGC1A using chromatin-IP followed by high-throughput sequencing (ChIP-seq) and uncovered overrepresented DNA sequence motifs corresponding to known and novel PPARGC1A network partners. We then profiled six of these site-specific TF partners using ChIP-seq and examined their network connectivity and combinatorial binding patterns with PPARGC1A. Our analysis revealed extensive overlap of targets including a novel link between PPARGC1A and HSF1, a TF regulating the conserved heat shock response pathway that is misregulated in diabetes. Importantly, we found that different combinations of TFs bound to distinct functional sets of genes, thereby helping to reveal the combinatorial regulatory code for metabolic and other cellular processes. In addition, the different TFs often bound near the promoters and coding regions of each other's genes suggesting an intricate network of interdependent regulation. Overall, our study provides an important framework for understanding the systems-level control of metabolic gene expression in humans.

Indexed as

Gene Regulatory NetworksBinding SitesCarrier ProteinsChromatin ImmunoprecipitationCluster AnalysisGene Expression RegulationHeat-Shock ProteinsHep G2 CellsHigh-Throughput Nucleotide SequencingHumansNucleotide MotifsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaProtein BindingProtein TransportTranscription FactorsTranscription, GeneticCarrier ProteinsHeat-Shock ProteinsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPARGC1A protein, humanTranscription Factors

Identifiers

PMID22955979
PMCPMC3431484
OpenAlexW2152595075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.