Evidence map›Paper›PMID 27811935›Full record

ArticleExperimental & molecular medicine2016

Integrated computational approach to the analysis of RNA-seq data reveals new transcriptional regulators of psoriasis.

Alena Zolotarenko, Evgeny Chekalin, Alexandre Mesentsev, Ludmila Kiseleva, Elena Gribanova, Rohini Mehta, Ancha Baranova, Tatiana V Tatarinova, Eleonora S Piruzian, Sergey Bruskin

Open access · goldAbstract read
In one paragraph

Article in Experimental & molecular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 32 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 3 institutions in 2 countries.

Alena ZolotarenkoLaboratory of Functional Genomics, Vavilov Institute of General Genetics, Moscow, Russian Federation.
Evgeny ChekalinLaboratory of Functional Genomics, Vavilov Institute of General Genetics, Moscow, Russian Federation.
Alexandre MesentsevLaboratory of Functional Genomics, Vavilov Institute of General Genetics, Moscow, Russian Federation.
Ludmila KiselevaBryansk Regional STD and Dermatology Center, Bryansk Region, Russian Federation.
Elena GribanovaBryansk Regional STD and Dermatology Center, Bryansk Region, Russian Federation.
Rohini MehtaSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Ancha BaranovaSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Tatiana V TatarinovaAtlas Oncology Diagnostics, Moscow, Russian Federation.
Eleonora S PiruzianLaboratory of Functional Genomics, Vavilov Institute of General Genetics, Moscow, Russian Federation.
Sergey BruskinLaboratory of Functional Genomics, Vavilov Institute of General Genetics, Moscow, Russian Federation.
Vavilov Institute of General Genetics · RUGeorge Mason University · USInstitute for Information Transmission Problems · RU

Funding

Populaton Pharmacokinetic Modeling and Optimal ControlR01GM068968 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2003 to 2015
$3.9M
Mechanisms of Hypothermic Neuroprotection in NeonatesR01HD070996 · NICHD · JOHNS HOPKINS UNIVERSITY · PI NORTHINGTON, FRANCES J · 2012 to 2016
$1.7M
NICHD NIH HHS R01 HD070996NIGMS NIH HHS R01 GM068968
6 · The paper itself

Abstract

Psoriasis is a common inflammatory skin disease with complex etiology and chronic progression. To provide novel insights into the regulatory molecular mechanisms of the disease, we performed RNA sequencing analysis of 14 pairs of skin samples collected from patients with psoriasis. Subsequent pathway analysis and extraction of the transcriptional regulators governing psoriasis-associated pathways was executed using a combination of the MetaCore Interactome enrichment tool and the cisExpress algorithm, followed by comparison to a set of previously described psoriasis response elements. A comparative approach allowed us to identify 42 core transcriptional regulators of the disease associated with inflammation (NFκB, IRF9, JUN, FOS, SRF), the activity of T cells in psoriatic lesions (STAT6, FOXP3, NFATC2, GATA3, TCF7, RUNX1), the hyperproliferation and migration of keratinocytes (JUN, FOS, NFIB, TFAP2A, TFAP2C) and lipid metabolism (TFAP2, RARA, VDR). In addition to the core regulators, we identified 38 transcription factors previously not associated with the disease that can clarify the pathogenesis of psoriasis. To illustrate these findings, we analyzed the regulatory role of one of the identified transcription factors (TFs), FOXA1. Using ChIP-seq and RNA-seq data, we concluded that the atypical expression of the FOXA1 TF is an important player in the disease as it inhibits the maturation of naive T cells into the (CD4+FOXA1+CD47+CD69+PD-L1(hi)FOXP3-) regulatory T cell subpopulation, therefore contributing to the development of psoriatic skin lesions.

Indexed as

Transcriptional ActivationTranscriptomeCell MovementHepatocyte Nuclear Factor 3-alphaHumansInflammationKeratinocytesLipid MetabolismPsoriasisSignal TransductionTranscription FactorsFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaTranscription Factors

Identifiers

PMID27811935
PMCPMC5133374
OpenAlexW2547783922

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.