Evidence map›Paper›PMID 35088088›Full record

ArticleHuman molecular genetics2022

A molecular map of long non-coding RNA expression, isoform switching and alternative splicing in osteoarthritis.

Georgia Katsoula, Julia Steinberg, Margo Tuerlings, Rodrigo Coutinho de Almeida, Lorraine Southam, Diane Swift, Ingrid Meulenbelt, J Mark Wilkinson, Eleftheria Zeggini

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

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  13. Get Spliced: Uniting Alternative Splicing and Arthritis.International journal of molecular sciences · 2024
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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

9 authors at 5 institutions in 4 countries.

Georgia KatsoulaTechnical University of Munich (TUM), School of Medicine, Munich 81675, Germany.
Julia SteinbergInstitute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany.
Margo TuerlingsDepartment of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.ORCID 0000-0002-1728-7488
Rodrigo Coutinho de AlmeidaDepartment of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
Lorraine SouthamInstitute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany.
Diane SwiftDepartment of Oncology and Metabolism, University of Sheffield, Metabolic Bone Unit, Sorby Wing Northern General Hospital Sheffield, Sheffield, S5 7AU, UK.
Ingrid MeulenbeltDepartment of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands.
J Mark WilkinsonDepartment of Oncology and Metabolism, University of Sheffield, Metabolic Bone Unit, Sorby Wing Northern General Hospital Sheffield, Sheffield, S5 7AU, UK.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg 85764, Germany.ORCID 0000-0001-9611-9281
University of Applied Sciences Leiden · NLHelmholtz Zentrum München · DENorthern General Hospital · GBThe University of Sydney · AUTUM Klinikum · DE

Funding

Wellcome Trust 206194
6 · The paper itself

Abstract

Osteoarthritis is a prevalent joint disease and a major cause of disability worldwide with no curative therapy. Development of disease-modifying therapies requires a better understanding of the molecular mechanisms underpinning disease. A hallmark of osteoarthritis is cartilage degradation. To define molecular events characterizing osteoarthritis at the whole transcriptome level, we performed deep RNA sequencing in paired samples of low- and high-osteoarthritis grade knee cartilage derived from 124 patients undergoing total joint replacement. We detected differential expression between low- and high-osteoarthritis grade articular cartilage for 365 genes and identified a 38-gene signature in osteoarthritis cartilage by replicating our findings in an independent dataset. We also found differential expression for 25 novel long non-coding RNA genes (lncRNAs) and identified potential lncRNA interactions with RNA-binding proteins in osteoarthritis. We assessed alterations in the relative usage of individual gene transcripts and identified differential transcript usage for 82 genes, including ABI3BP, coding for an extracellular matrix protein, AKT1S1, a negative regulator of the mTOR pathway and TPRM4, coding for a transient receptor potential channel. We further assessed genome-wide differential splicing, for the first time in osteoarthritis, and detected differential splicing for 209 genes, which were enriched for extracellular matrix, proteoglycans and integrin surface interactions terms. In the largest study of its kind in osteoarthritis, we find that isoform and splicing changes, in addition to extensive differences in both coding and non-coding sequence expression, are associated with disease and demonstrate a novel layer of genomic complexity to osteoarthritis pathogenesis.

Indexed as

OsteoarthritisRNA, Long NoncodingAlternative SplicingGene Expression ProfilingHumansProtein IsoformsProtein IsoformsRNA, Long Noncoding

Identifiers

PMID35088088
PMCPMC9239745
OpenAlexW4210256930

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Registered trials

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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.