Evidence map›Paper›PMID 34558825›Full record

SynthesisHepatology communications2021

Meta-analysis and Consolidation of Farnesoid X Receptor Chromatin Immunoprecipitation Sequencing Data Across Different Species and Conditions.

Emilian Jungwirth, Katrin Panzitt, Hanns-Ulrich Marschall, Gerhard G Thallinger, Martin Wagner

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Hepatology communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 2 countries.

Emilian JungwirthResearch Unit for Translational Nuclear Receptor ResearchDivision of Gastroenterology and HepatologyMedical University GrazGrazAustria.
Katrin PanzittResearch Unit for Translational Nuclear Receptor ResearchDivision of Gastroenterology and HepatologyMedical University GrazGrazAustria.
Hanns-Ulrich MarschallDepartment of Molecular and Clinical Medicine/Wallenberg LaboratorySahlgrenska AcademyUniversity of GothenburgGothenburgSweden.
Gerhard G ThallingerInstitute of Biomedical InformaticsGraz University of TechnologyGrazAustria.
Martin WagnerResearch Unit for Translational Nuclear Receptor ResearchDivision of Gastroenterology and HepatologyMedical University GrazGrazAustria.ORCID 0000-0002-2769-2364
Medical University of Graz · ATGraz University of Technology · ATUniversity of Gothenburg · SE

Funding

Austrian Science Fund FWF P 30482
6 · The paper itself

Abstract

Farnesoid X receptor (FXR) is a nuclear receptor that controls gene regulation of different metabolic pathways and represents an upcoming drug target for various liver diseases. Several data sets on genome-wide FXR binding in different species and conditions exist. We have previously reported that these data sets are heterogeneous and do not cover the full spectrum of potential FXR binding sites. Here, we report the first meta-analysis of all publicly available FXR chromatin immunoprecipitation sequencing (ChIP-seq) data sets from mouse, rat, and human across different conditions using a newly generated analysis pipeline. All publicly available single data sets were biocurated in a standardized manner and compared on every relevant level from raw reads to affected functional pathways. Individual murine data sets were then virtually merged into a single unique "FXR binding atlas" spanning all potential binding sites across various conditions. Comparison of the single biocurated data sets showed that the overlap of FXR binding sites between different species is modest and ranges from 48% (mouse-human) to 55% (mouse-rat). Moreover, in vivo data among different species are more similar than human in vivo data compared to human in vitro data. The consolidated murine global FXR binding atlas virtually increases sequencing depth and allows recovering more and novel potential binding sites and signaling pathways that were missed in the individual data sets. The FXR binding atlas is publicly searchable (https://fxratlas.tugraz.at). Conclusion: Published single FXR ChIP-seq data sets and large-scale integrated omics data sets do not cover the full spectrum of FXR binding. Combining different individual data sets and creating an "FXR super-binding atlas" enhances understanding of FXR signaling capacities across different conditions. This is important when considering the potential wide spectrum for drugs targeting FXR in liver diseases.

Indexed as

Chromatin Immunoprecipitation SequencingData AggregationDatabases, GeneticAnimalsBinding SitesGene Expression RegulationHumansMiceProtein BindingRatsReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearSignal TransductionReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and Nuclear

Identifiers

PMID34558825
PMCPMC8485886
OpenAlexW3174458556

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.