Evidence map›Paper›PMID 20501695›Full record

ArticleGenome research2010

Sequence features that drive human promoter function and tissue specificity.

Jane M Landolin, David S Johnson, Nathan D Trinklein, Shelly F Aldred, Catherine Medina, Hennady Shulha, Zhiping Weng, Richard M Myers

Open access · greenAbstract readComparative StudyValidation Study
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–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

62 citing papers in PubMed, 108 citations in OpenAlex.

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  9. Nuclear FGFR1 Regulates Gene Transcription and Promotes Antiestrogen Resistance in ERClinical cancer research : an official journal of the American Association for Cancer Research · 2021
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  16. TheG3 (Bethesda, Md.) · 2020
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2 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

Jane M LandolinDivision of Life Sciences, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
David S Johnson
Nathan D Trinklein
Shelly F Aldred
Catherine Medina
Hennady Shulha
Zhiping Weng
Richard M Myers
ID Genomics (United States) · USStanford University · USUniversity of Massachusetts Chan Medical School · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoters are important regulatory elements that contain the necessary sequence features for cells to initiate transcription. To functionally characterize a large set of human promoters, we measured the transcriptional activities of 4575 putative promoters across eight cell lines using transient transfection reporter assays. In parallel, we measured gene expression in the same cell lines and observed a significant correlation between promoter activity and endogenous gene expression (r = 0.43). As transient transfection assays directly measure the promoting effect of a defined fragment of DNA sequence, decoupled from epigenetic, chromatin, or long-range regulatory effects, we sought to predict whether a promoter was active using sequence features alone. CG dinucleotide content was highly predictive of ubiquitous promoter activity, necessitating the separation of promoters into two groups: high CG promoters, mostly ubiquitously active, and low CG promoters, mostly cell line-specific. Computational models trained on the binding potential of transcriptional factor (TF) binding motifs could predict promoter activities in both high and low CG groups: average area under the receiver operating characteristic curve (AUC) of the models was 91% and exceeded the AUC of CG content by an average of 23%. Known relationships, for example, between HNF4A and hepatocytes, were recapitulated in the corresponding cell lines, in this case the liver-derived cell line HepG2. Half of the associations between tissue-specific TFs and cell line-specific promoters were new. Our study underscores the importance of collecting functional information from complementary assays and conditions to understand biology in a systematic framework.

Indexed as

Base CompositionBase SequenceBinding SitesCell LineComputational BiologyEpigenesis, GeneticGene ExpressionHepatocyte Nuclear Factor 4Hep G2 CellsHumansOrgan SpecificityPromoter Regions, GeneticProtein BindingTranscription, GeneticTransfectionHepatocyte Nuclear Factor 4

Identifiers

PMID20501695
PMCPMC2892090
OpenAlexW2102245166

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.