Evidence map›Paper›PMID 19826915›Full record

ArticleMolecular biology reports2010

Characterization of the human IRF-3 promoter and its regulation by the transcription factor E2F1.

Hua-Guo Xu, Wei Ren, Chao Lu, Guo-Ping Zhou

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Article in Molecular biology reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 24% 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, 19 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Hua-Guo XuDepartment of Pediatrics, The First Affiliated Hospital, Nanjing Medical University, 300 Guang Zhou Road, 210029, Nanjing, Jiangsu Province, China.
Wei Ren
Chao Lu
Guo-Ping Zhou
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interferon regulatory factor 3 (IRF-3), an essential transcriptional regulator of the interferon genes, has been implicated in virus and double-stranded RNA mediated induction of IFN-α, IFN-β and RANTES, in virus-induced apoptosis and in tumor suppression. Promoter plays an important role in the regulation of gene expression, but the characterization of the human IRF-3 promoter has not been systematically analyzed in HEK 293 cells. To characterize the human IRF-3 promoter, we have isolated a genomic clone of the human IRF-3 gene promoter region containing 1,000 nucleotides of the 5'- flanking region. Transient transfection of 5'-deleted promoter-reporter constructs and luciferase assay illustrated the region -149/-93 relative to the transcription start site (TSS) is sufficient for full promoter activity. This region contains HSF, E2F, CdxA and c-Myb transcription factor binding sites. The E2F sites are highly conserved among IRF-3 promoter regions of mouse, rat and human. Therefore, it was suggested that this E2F site may be essential for basal promoter activity. Surprisingly, mutation of this E2F site increased the promoter activity by 2-fold. Furthermore, overexpression of E2F1 reduced the transcription activity by 80%. These results indicated that human IRF-3 gene core promoter was located within the region -149/-93 relative to the TSS. E2F1 transcription factor negatively regulates human IRF-3 gene promoter.

Indexed as

Gene Expression RegulationPromoter Regions, Genetic5' Flanking RegionAnimalsBase SequenceBinding SitesDNA Mutational AnalysisE2F1 Transcription FactorGenes, ReporterHEK293 CellsHumansInterferon Regulatory Factor-3LuciferasesMiceMolecular Sequence DataRatsE2F1 protein, humanE2F1 Transcription FactorInterferon Regulatory Factor-3IRF3 protein, humanLuciferases

Identifiers

PMID19826915
OpenAlexW2162158991

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Registered trials

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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.