Evidence map›Paper›PMID 8836736›Full record

ArticleGene expression1996

DNA binding proteins from keloid fibroblasts form unique complexes with the human fibronectin promoter.

J C Sible, E Eriksson, N Oliver

Abstract read
In one paragraph

Article in Gene expression, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

J C SibleDepartment of Anatomy and Cellular Biology, Tufts University School of Medicine, Boston, MA 02111, USA.
E Eriksson
N Oliver
Tufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keloids are pathological lesions characterized by enhanced expression of extracellular matrix molecules including fibronectin. A molecular dissection of the human fibronectin promoter was performed to identify DNA-protein interactions that correlate with altered fibronectin gene expression by keloid fibroblasts. DNA mobility shift patterns generated by nuclear extracts from skin, scar, and keloid fibroblasts were identical at a consensus CRE at -170 of the human fibronectin promoter whereas extracts from keloid fibroblasts formed complexes at a CRE/AP-1-like sequence at -415 that differed from those generated by skin and scar fibroblast extracts. The DNA-protein interactions identified at -415 were sensitive to altered serum concentrations in skin and scar but not keloid fibroblast cultures. The effects of forskolin and TGF-beta on fibronectin expression correlated with changes in the DNA-protein complexes assembled on the -170 and -415 cis elements, respectively. Oligonucleotides containing consensus CRE and AP-1 sequences did not compete for binding of nuclear proteins to the CRE/AP-1-like domain at -415, suggesting that this is a unique cis element. These studies indicate that the human fibronectin promoter contains two cis elements on which related but nonidentical complexes form. Alterations in the complexes interacting with the sequence at -415 may be responsible for the differences in fibronectin gene expression among quiescent skin, mature scar, and keloid fibroblasts.

Indexed as

AdolescentAdultBase SequenceBinding SitesBloodCells, CulturedChildChild, PreschoolCicatrixColforsinDNADNA-Binding ProteinsFemaleFibroblastsFibronectinsGene Expression RegulationColforsinDNADNA-Binding ProteinsFibronectinsRNA, MessengerTransforming Growth Factor beta

Identifiers

PMID8836736
PMCPMC6138024
OpenAlexW2433541028

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.