Evidence map›Paper›PMID 23995703›Full record

ReviewChannels (Austin, Tex.)

Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?

Rebecca Lewis, Hannah May, Ali Mobasheri, Richard Barrett-Jolley

Open access · goldAbstract readReview
In one paragraph

Review in Channels (Austin, Tex.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. NaNature · 2024
    Article
  3. CaInternational journal of molecular sciences · 2023
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. KCells · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. The Resting Potential and KFrontiers in physiology · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors at 2 institutions in 2 countries.

Rebecca LewisMusculoskeletal Biology; Institute of Ageing and Chronic Disease; Faculty of Health & Life Sciences; University of Liverpool; Liverpool, UK; The D-BOARD European Consortium for Biomarker Discovery.
Hannah MayMusculoskeletal Biology; Institute of Ageing and Chronic Disease; Faculty of Health & Life Sciences; University of Liverpool; Liverpool, UK.
Ali MobasheriArthritis Research UK Centre for Sport, Exercise and Osteoarthritis; Arthritis Research UK Pain Centre; Medical Research Council and Arthritis Research UK Centre for Musculoskeletal Ageing Research; The University of Nottingham; Queen's Medical Centre; Nottingham, UK; School of Life Sciences; University of Bradford; Bradford, UK; Center for Excellence in Genomic Medicine Research (CEGMR); King Fahad Medical Research Center (KFMRC); King AbdulAziz University; Jeddah, Saudi Arabia; The D-BOARD European Consortium for Biomarker Discovery.
Richard Barrett-JolleyMusculoskeletal Biology; Institute of Ageing and Chronic Disease; Faculty of Health & Life Sciences; University of Liverpool; Liverpool, UK; The D-BOARD European Consortium for Biomarker Discovery.
University of Liverpool · GBKing Abdulaziz University · SA

Funding

Medical Research Council MR/K00414X/1
6 · The paper itself

Abstract

To date, a range of ion channels have been identified in chondrocytes using a number of different techniques, predominantly electrophysiological and/or biomolecular; each of these has its advantages and disadvantages. Here we aim to compare and contrast the data available from biophysical and microarray experiments. This letter analyses recent transcriptomics datasets from chondrocytes, accessible from the European Bioinformatics Institute (EBI). We discuss whether such bioinformatic analysis of microarray datasets can potentially accelerate identification and discovery of ion channels in chondrocytes. The ion channels which appear most frequently across these microarray datasets are discussed, along with their possible functions. We discuss whether functional or protein data exist which support the microarray data. A microarray experiment comparing gene expression in osteoarthritis and healthy cartilage is also discussed and we verify the differential expression of 2 of these genes, namely the genes encoding large calcium-activated potassium (BK) and aquaporin channels.

Indexed as

AnimalsChondrocytesComputational BiologyGene Expression ProfilingHumansIon ChannelsOligonucleotide Array Sequence AnalysisOsteoarthritisIon Channelsbiomarkerbiophysicscartilagechondrocyteelectrophysiologyion channelosteoarthritistranscriptomics

Identifiers

PMID23995703
PMCPMC4042480
OpenAlexW2003331951

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.