Evidence map›Paper›PMID 34743696›Full record

ArticleBMC genomics2021

Phenotype-tissue expression and exploration (PTEE) resource facilitates the choice of tissue for RNA-seq-based clinical genetics studies.

Akhil Velluva, Maximillian Radtke, Susanne Horn, Bernt Popp, Konrad Platzer, Erind Gjermeni, Chen-Ching Lin, Johannes R Lemke, Antje Garten, Torsten Schöneberg and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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  5. Toward transcriptomics as a primary tool for rare disease investigation.Cold Spring Harbor molecular case studies · 2022
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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

13 authors at 5 institutions in 3 countries.

Akhil VelluvaDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany. akhil_velluva@eva.mpg.de.
Maximillian RadtkeInstitute of Human Genetics, University Medical Center Leipzig, 04103, Leipzig, Germany.
Susanne HornRudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, Johannisallee 30, 04103, Leipzig, Germany.
Bernt PoppInstitute of Human Genetics, University Medical Center Leipzig, 04103, Leipzig, Germany.
Konrad PlatzerInstitute of Human Genetics, University Medical Center Leipzig, 04103, Leipzig, Germany.
Erind GjermeniDepartment of Electrophysiology, Heart Center Leipzig at University of Leipzig, 04289, Leipzig, Germany.
Chen-Ching LinInstitute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Johannes R LemkeInstitute of Human Genetics, University Medical Center Leipzig, 04103, Leipzig, Germany.
Antje GartenPediatric Research Center, University Hospital for Children and Adolescents, Leipzig University, 04103, Leipzig, Germany.
Torsten SchönebergRudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, Johannisallee 30, 04103, Leipzig, Germany.
Matthias BlüherHelmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, 04103, Leipzig, Germany.
Rami Abou JamraInstitute of Human Genetics, University Medical Center Leipzig, 04103, Leipzig, Germany.
Diana Le DucDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany. diana_leduc@eva.mpg.de.
Leipzig University · DEHelmholtz Zentrum München · DENational Yang Ming Chiao Tung University · TWStraumann (Switzerland) · CHUniversity Hospital Leipzig · DE

Funding

deutsche forschungsgemeinschaft 209933838 - CRC1052
6 · The paper itself

Abstract

backgroundRNA-seq emerges as a valuable method for clinical genetics. The transcriptome is "dynamic" and tissue-specific, but typically the probed tissues to analyze (TA) are different from the tissue of interest (TI) based on pathophysiology.

resultsWe developed Phenotype-Tissue Expression and Exploration (PTEE), a tool to facilitate the decision about the most suitable TA for RNA-seq. We integrated phenotype-annotated genes, used 54 tissues from GTEx to perform correlation analyses and identify expressed genes and transcripts between TAs and TIs. We identified skeletal muscle as the most appropriate TA to inquire for cardiac arrhythmia genes and skin as a good proxy to study neurodevelopmental disorders. We also explored RNA-seq limitations and show that on-off switching of gene expression during ontogenesis or circadian rhythm can cause blind spots for RNA-seq-based analyses.

conclusionsPTEE aids the identification of tissues suitable for RNA-seq for a given pathology to increase the success rate of diagnosis and gene discovery. PTEE is freely available at https://bioinf.eva.mpg.de/PTEE/.

Indexed as

Gene Expression ProfilingTranscriptomePhenotypeRNA-SeqSequence Analysis, RNA

Identifiers

PMID34743696
PMCPMC8573933
OpenAlexW3211448858

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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.