Evidence map›Paper›PMID 25993293›Full record

ArticleInternational journal of molecular sciences2015

Transcriptional (ChIP-Chip) Analysis of ELF1, ETS2, RUNX1 and STAT5 in Human Abdominal Aortic Aneurysm.

Matthew C Pahl, Robert Erdman, Helena Kuivaniemi, John H Lillvis, James R Elmore, Gerard Tromp

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Characterization of CD4Mediators of inflammation · 2018
    Article
  12. Article
  13. Understanding the pathogenesis of abdominal aortic aneurysms.Expert review of cardiovascular therapy · 2015
    Review
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 3 institutions in 1 country.

Matthew C PahlSigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA. mcp3bp@virginia.edu.
Robert ErdmanSigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA. rerdman@geisinger.edu.
Helena KuivaniemiSigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA. shkuivaniemi@geisinger.edu.
John H LillvisDepartment of Ophthalmology, Wayne State University School of Medicine, Detroit, MI 48202, USA. johnlillvis@gmail.com.
James R ElmoreDepartment of Vascular and Endovascular Surgery, Geisinger Health System, Danville, PA 17822, USA. jelmore@geisinger.edu.
Gerard TrompSigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA. gctromp@geisinger.edu.
Geisinger Health System · USTemple University · USWayne State University · US

Funding

GENETIC FACTORS IN ABDOMINAL AORTIC ANEURYSMSR01HL064310 · NHLBI · WAYNE STATE UNIVERSITY · PI KUIVANIEMI, S HELENA · 1999 to 2006
$2.5M
Immunity and the pathogenesis of abdominal aortic aneurysmsF30AG030900 · NIA · WAYNE STATE UNIVERSITY · PI LILLVIS, JOHN HUNT · 2007 to 2012
$170k
NHLBI NIH HHS HL064310NHLBI NIH HHS R01 HL064310NIA NIH HHS AG030900NIA NIH HHS F30 AG030900
6 · The paper itself

Abstract

We investigated transcriptional control of gene expression in human abdominal aortic aneurysm (AAA). We previously identified 3274 differentially expressed genes in human AAA tissue compared to non-aneurysmal controls. Four expressed transcription factors (ELF1, ETS2, STAT5 and RUNX1) were selected for genome-wide chromatin immunoprecipitation. Transcription factor binding was enriched in 4760 distinct genes (FDR < 0.05), of which 713 were differentially expressed in AAA. Functional classification using Gene Ontology (GO), KEGG, and Network Analysis revealed enrichment in several biological processes including "leukocyte migration" (FDR = 3.09 × 10-05) and "intracellular protein kinase cascade" (FDR = 6.48 × 10-05). In the control aorta, the most significant GO categories differed from those in the AAA samples and included "cytoskeleton organization" (FDR = 1.24 × 10-06) and "small GTPase mediated signal transduction" (FDR = 1.24 × 10-06). Genes up-regulated in AAA tissue showed a highly significant enrichment for GO categories "leukocyte migration" (FDR = 1.62 × 10-11), "activation of immune response" (FDR = 8.44 × 10-11), "T cell activation" (FDR = 4.14 × 10-10) and "regulation of lymphocyte activation" (FDR = 2.45 × 10-09), whereas the down-regulated genes were enriched in GO categories "cytoskeleton organization" (FDR = 7.84 × 10-05), "muscle cell development" (FDR = 1.00 × 10-04), and "organ morphogenesis" (FDR = 3.00 × 10-04). Quantitative PCR assays confirmed a sub-set of the transcription factor binding sites including those in MTMR11, DUSP10, ITGAM, MARCH1, HDAC8, MMP14, MAGI1, THBD and SPOCK1.

Indexed as

AgedAged, 80 and overAortaAortic Aneurysm, AbdominalBinding SitesCells, CulturedChromatin ImmunoprecipitationCore Binding Factor Alpha 2 SubunitFemaleGene Regulatory NetworksHumansMaleMiddle AgedNuclear ProteinsOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticCore Binding Factor Alpha 2 SubunitELF1 protein, humanETS2 protein, humanNuclear ProteinsProto-Oncogene Protein c-ets-2RUNX1 protein, humanSTAT5 Transcription FactorTranscription Factorsaneurysmaortachromatin immunoprecipitationgene expressiongene ontologygenesKEGG pathwaynetworktranscription factor

Identifiers

PMID25993293
PMCPMC4463698
OpenAlexW1492582109

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.