Evidence map›Paper›PMID 33523865›Full record

ArticleScience advances2021

S100A8/S100A9 cytokine acts as a transcriptional coactivator during breast cellular transformation.

Ruisheng Song, Kevin Struhl

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  16. Novel Long Noncoding RNACirculation · 2024
    Article
  17. Article
  18. S100A9Journal of experimental & clinical cancer research : CR · 2024
    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

2 authors at 1 institution in 1 country.

Ruisheng SongDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School Boston, MA 02115, USA.ORCID 0000-0002-6856-4721
Kevin StruhlDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School Boston, MA 02115, USA. kevin@hms.harvard.edu.ORCID 0000-0002-4181-7856
Harvard University · US

Funding

Genomic targets of oncoproteins and tumor suppressorsR01CA107486 · NCI · HARVARD MEDICAL SCHOOL · PI STRUHL, KEVIN · 2006 to 2020
$9.4M
NCI NIH HHS R01 CA107486
6 · The paper itself

Abstract

Cytokines are extracellular proteins that convey messages between cells by interacting with cognate receptors at the cell surface and triggering signaling pathways that alter gene expression and other phenotypes in an autocrine or paracrine manner. Here, we show that the calcium-dependent cytokines S100A8 and S100A9 are recruited to numerous promoters and enhancers in a model of breast cellular transformation. This recruitment is associated with multiple DNA sequence motifs recognized by DNA binding transcription factors that are linked to transcriptional activation and are important for transformation. The cytokines interact with these transcription factors in nuclear extracts, and they activate transcription when artificially recruited to a target promoter. Nuclear-specific expression of S100A8/A9 promotes oncogenic transcription and leads to enhanced breast transformation phenotype. These results suggest that, in addition to its classical cytokine function, S100A8/A9 can act as a transcriptional coactivator.

Indexed as

BreastCalgranulin ACalgranulin BCell Transformation, NeoplasticCytokinesHumansTranscription FactorsCalgranulin ACalgranulin BCytokinesS100A8 protein, humanS100A9 protein, humanTranscription Factors

Identifiers

PMID33523865
PMCPMC7775746
OpenAlexW3120074395

What OpenQuestion holds

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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.