Evidence map›Paper›PMID 29089527›Full record

ArticleScientific reports2017

Cross platform analysis of transcriptomic data identifies ageing has distinct and opposite effects on tendon in males and females.

Louise I Pease, Peter D Clegg, Carole J Proctor, Daryl J Shanley, Simon J Cockell, Mandy J Peffers

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Epigenetic mechanisms in Tendon Ageing.British medical bulletin · 2020
    Pooled it
  2. Article
  3. Article
  4. Research perspectives-Pipelines to human tendon transcriptomics.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Spectrum of Tendon Pathologies: Triggers, Trails and End-State.International journal of molecular sciences · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. 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

6 authors at 3 institutions in 1 country.

Louise I PeaseMRC - Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA), Liverpool, UK.
Peter D CleggMRC - Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA), Liverpool, UK.
Carole J ProctorMRC - Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA), Liverpool, UK.
Daryl J ShanleyMRC - Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA), Liverpool, UK.
Simon J CockellFaculty of Medical Sciences, Bioinformatics Support Unit, Framlington Place, Newcastle University, Newcastle, NE2 4HH, UK.ORCID 0000-0002-6831-9806
Mandy J PeffersMRC - Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA), Liverpool, UK. M.J.Peffers@liverpool.ac.uk.
Arthritis UK · GBUniversity of Liverpool · GBNewcastle University · GB

Funding

Arthritis Research UKMedical Research Council MR/P020941/1Wellcome Trust
6 · The paper itself

Abstract

The development of tendinopathy is influenced by a variety of factors including age, gender, sex hormones and diabetes status. Cross platform comparative analysis of transcriptomic data elucidated the connections between these entities in the context of ageing. Tissue-engineered tendons differentiated from bone marrow derived mesenchymal stem cells from young (20-24 years) and old (54-70 years) donors were assayed using ribonucleic acid sequencing (RNA-seq). Extension of the experiment to microarray and RNA-seq data from tendon identified gender specific gene expression changes highlighting disparity with existing literature and published pathways. Separation of RNA-seq data by sex revealed underlying negative binomial distributions which increased statistical power. Sex specific de novo transcriptome assemblies generated fewer larger transcripts that contained miRNAs, lincRNAs and snoRNAs. The results identify that in old males decreased expression of CRABP2 leads to cell proliferation, whereas in old females it leads to cellular senescence. In conjunction with existing literature the results explain gender disparity in the development and types of degenerative diseases as well as highlighting a wide range of considerations for the analysis of transcriptomic data. Wider implications are that degenerative diseases may need to be treated differently in males and females because alternative mechanisms may be involved.

Indexed as

AgedAgingCell DifferentiationCell ProliferationFemaleGene Expression ProfilingHumansMaleMesenchymal Stem CellsMicroRNAsMiddle AgedReceptors, Retinoic AcidRNA, Long NoncodingRNA, Small NucleolarSequence Analysis, RNASex CharacteristicsMicroRNAsReceptors, Retinoic Acidretinoic acid binding protein II, cellularRNA, Long NoncodingRNA, Small Nucleolar

Identifiers

PMID29089527
PMCPMC5663855
OpenAlexW2766638900

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.