Evidence map›Paper›PMID 41263435›Full record

ReviewCurrent opinion in rheumatology2026

Spatial transcriptomics: challenges and future directions in musculoskeletal diseases.

Keemo Delos Santos, Jason S Rockel, Mohit Kapoor

Abstract readReview
In one paragraph

Review in Current opinion in rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Keemo Delos SantosSchroeder Arthritis Institute, University Health Network.
Jason S RockelSchroeder Arthritis Institute, University Health Network.
Mohit KapoorSchroeder Arthritis Institute, University Health Network.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review examines recent advancements in spatial transcriptomics and its current and potential use to advance musculoskeletal (MSK) research. These insights will be vital to address the complexity of MSK diseases and will pave the way for future therapeutic developments. RECENT

findingsThe advent of next-generation sequencing has significantly improved our understanding of the cellular and transcriptomic heterogeneity in the MSK system. Spatial transcriptomics has revolutionized research allowing in-situ gene expression analyses directly from intact histological sections. Understanding spatial transcriptomes of cells within tissues will shed light into the biological complexity of MSK diseases. Here, we summarize the role of spatial transcriptomics in unveiling molecular mechanisms underlying MSK diseases and the challenges prohibiting its widespread application in MSK research, and opportunities to overcome these challenges. SUMMARY: We provide a summary of emerging techniques in spatial transcriptomic field and its use in advancing MSK research. Furthermore, challenges in its application in MSK tissues are discussed as well as potential future considerations to improve spatial transcriptomics insights.

Indexed as

Gene Expression ProfilingMusculoskeletal DiseasesTranscriptomeHigh-Throughput Nucleotide SequencingHumansmusculoskeletal diseasesnext-generation sequencingspatial transcriptomics

Identifiers

PMID41263435
PMCPMC12863588

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.