Evidence map›Paper›PMID 28472408›Full record

ArticleNucleic acids research2017

RegulatorTrail: a web service for the identification of key transcriptional regulators.

Tim Kehl, Lara Schneider, Florian Schmidt, Daniel Stöckel, Nico Gerstner, Christina Backes, Eckart Meese, Andreas Keller, Marcel H Schulz, Hans-Peter Lenhof

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 17 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

10 authors at 2 institutions in 1 country.

Tim KehlCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Lara SchneiderCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Florian SchmidtCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Daniel StöckelCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Nico GerstnerCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Christina BackesCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Eckart MeeseCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Andreas KellerCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Marcel H SchulzCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Hans-Peter LenhofCenter for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany.
Saarland University · DEMax Planck Institute for Informatics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional regulators such as transcription factors and chromatin modifiers play a central role in most biological processes. Alterations in their activities have been observed in many diseases, e.g. cancer. Hence, it is of utmost importance to evaluate and assess the effects of transcriptional regulators on natural and pathogenic processes. Here, we present RegulatorTrail, a web service that provides rich functionality for the identification and prioritization of key transcriptional regulators that have a strong impact on, e.g. pathological processes. RegulatorTrail offers eight methods that use regulator binding information in combination with transcriptomic or epigenomic data to infer the most influential regulators. Our web service not only provides an intuitive web interface, but also a well-documented RESTful API that allows for a straightforward integration into third-party workflows. The presented case studies highlight the capabilities of our web service and demonstrate its potential for the identification of influential regulators: we successfully identified regulators that might explain the increased malignancy in metastatic melanoma compared to primary tumors, as well as important regulators in macrophages. RegulatorTrail is freely accessible at: https://regulatortrail.bioinf.uni-sb.de/.

Indexed as

SoftwareChromatinEpigenesis, GeneticGene Expression ProfilingHumansInternetMacrophagesMelanomaNeoplasm MetastasisTranscription FactorsWorkflowChromatinTranscription Factors

Identifiers

PMID28472408
PMCPMC5570139
OpenAlexW2610437989

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.