Evidence map›Paper›PMID 35239195›Full record

ReviewJournal of orthopaedic research : official publication of the Orthopaedic Research Society2022

Research perspectives-Pipelines to human tendon transcriptomics.

Lorenzo Ramos-Mucci, Paula Sarmiento, Dianne Little, Sarah Snelling

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2022. 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
1.1field-weighted citation impact, top 27% 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, 6 citations in OpenAlex.

  1. The cellular basis of fibrotic tendon healing: now in higher definition.American journal of physiology. Cell physiology · 2026
    Review
  2. Article
  3. Tendon mechanobiology in the context of tendon biofabrication.Frontiers in bioengineering and biotechnology · 2025
    Review
  4. Review
  5. Research perspectives-Pipelines to human tendon transcriptomics.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    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.

Lorenzo Ramos-MucciNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, UK.ORCID 0000-0003-4346-8861
Paula SarmientoDepartment of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA.
Dianne LittleDepartment of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA.ORCID 0000-0002-1869-7083
Sarah SnellingNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, UK.ORCID 0000-0002-7052-3793
Nuffield Orthopaedic Centre · GBPurdue University West Lafayette · US

Funding

Driver Genes for Engineered Rotator Cuff DevelopmentR01AR073882 · NIAMS · PURDUE UNIVERSITY · PI LITTLE, DIANNE · 2019 to 2023
$2.4M
NIAMS NIH HHS R01 AR073882NIHR Biomedical Research Centre Oxford
6 · The paper itself

Abstract

Tendon transcriptomics is a rapidly growing field in musculoskeletal biology. The ultimate aim of many current tendon transcriptomic studies is characterization of in vitro, ex vivo, or in vivo, healthy, and diseased tendon microenvironments to identify the underlying pathways driving human tendon pathology. The transcriptome interfaces between genomic, proteomic, and metabolomic signatures of the tendon cellular niche and the response of this niche to stimuli. Some of the greatest bottlenecks in tendon transcriptomics relate to the availability and quality of human tendon tissue, hence animal tissues are frequently used even though human tissue is most translationally relevant. Here, we review the variability associated with human donor and procurement factors, such as whether the tendon is cadaveric or a clinical remnant, and how these variables affect the quality and relevance of the transcriptomes obtained. Moreover, age, sex, and health demographic variables impact the human tendon transcriptome. Tendons present tissue-specific challenges for cell, nuclei, and RNA extraction that include a dense extracellular matrix, low cellularity, and therefore low RNA yield of variable quality. Consideration of these factors is particularly important for single-cell and single-nuclei resolution transcriptomics due to the necessity for unbiased and representative cell or nuclei populations. Different cell, nuclei, and RNA extraction methods, library preparation, and quality control methods are used by the tendon research community and attention should be paid to these when designing and reporting studies. We discuss the different components and challenges of human tendon transcriptomics, and propose pipelines, quality control, and reporting guidelines for future work in the field.

Indexed as

ProteomicsTranscriptomeAnimalsExtracellular MatrixHumansRNATendonsRNApublication guidelinesquality controlsequencingtendontissue source

Identifiers

PMID35239195
PMCPMC9007907
OpenAlexW4214951415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.