Evidence map›Paper›PMID 38565638›Full record

ReviewEuropean journal of human genetics : EJHG2024

Overcoming barriers to single-cell RNA sequencing adoption in low- and middle-income countries.

Tracy Boakye Serebour, Adam P Cribbs, Mathew J Baldwin, Collen Masimirembwa, Zedias Chikwambi, Angeliki Kerasidou, Sarah J B Snelling

Open access · hybridAbstract readReview
In one paragraph

Review in European journal of human genetics : EJHG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Unique nasal cell states induced by common pediatric respiratory viruses.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
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  10. Efficient profiling of total RNA in single cells with STORM-seq.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Review
  13. Review
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  15. Review
  16. 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

7 authors at 3 institutions in 2 countries.

Tracy Boakye SerebourThe Botnar Institute for Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Adam P CribbsThe Botnar Institute for Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Mathew J BaldwinThe Botnar Institute for Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Collen MasimirembwaThe African Institute of Biomedical Science and Technology, Harare, Zimbabwe.
Zedias ChikwambiThe African Institute of Biomedical Science and Technology, Harare, Zimbabwe.
Angeliki KerasidouThe Ethox Centre and the Wellcome Centre for Ethics and Humanities, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Sarah J B SnellingThe Botnar Institute for Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK. sarah.snelling@ndorms.ox.ac.uk.ORCID 0000-0002-7052-3793
Nuffield Orthopaedic Centre · GBAfrican Institute of Biomedical Science and Technology · ZWUniversity of Oxford · GB

Funding

Medical Research Council MR/V010182/1
6 · The paper itself

Abstract

The advent of single-cell resolution sequencing and spatial transcriptomics has enabled the delivery of cellular and molecular atlases of tissues and organs, providing new insights into tissue health and disease. However, if the full potential of these technologies is to be equitably realised, ancestrally inclusivity is paramount. Such a goal requires greater inclusion of both researchers and donors in low- and middle-income countries (LMICs). In this perspective, we describe the current landscape of ancestral inclusivity in genomic and single-cell transcriptomic studies. We discuss the collaborative efforts needed to scale the barriers to establishing, expanding, and adopting single-cell sequencing research in LMICs and to enable globally impactful outcomes of these technologies.

Indexed as

Developing CountriesSingle-Cell AnalysisHumansSequence Analysis, RNA

Identifiers

PMID38565638
PMCPMC11499908
OpenAlexW4393487716

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.