Evidence map›Paper›PMID 41326763›Full record

ReviewCellular and molecular life sciences : CMLS2025

A comparative review of single-cell atlases: mapping cellular diversity across species and tissues.

Keyun Look, Pei En Goh, Long Chiau Ming, Shi Hui Law, Sang Loon Tan, Ee Wern Tan, Hooi Leng Ser, Bey Hing Goh

Abstract readReviewComparative Study
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Keyun LookSir Jeffrey Cheah Sunway Medical School, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia.
Pei En GohSir Jeffrey Cheah Sunway Medical School, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia.
Long Chiau MingSir Jeffrey Cheah Sunway Medical School, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia.
Shi Hui LawSunway Biofunctional Molecules Discovery Centre, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia.
Sang Loon TanSunway Biofunctional Molecules Discovery Centre, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia.
Ee Wern TanSunway Biofunctional Molecules Discovery Centre, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia.
Hooi Leng SerSir Jeffrey Cheah Sunway Medical School, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia.
Bey Hing GohSunway Biofunctional Molecules Discovery Centre, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Malaysia. beyhingg@sunway.edu.my.ORCID http://orcid.org/0000-0003-1006-3649

Funding

Sunway University GRTIN-ECR(02)-SBMDC-06-2025Sunway University GRTIN-RAG(02)-DPSY-08-2024Sunway University GRTIN-RAG-SBMDC-05-2025
6 · The paper itself

Abstract

Single-cell sequencing (sc-seq) technologies have revolutionized biomedical research by enabling high-resolution analysis of cellular heterogeneity across multiple dimensions, including transcriptomics, epigenomics, and spatial profiling. These advances have led to the development of comprehensive single-cell atlases-reference maps of cell types and states across tissues and organisms, such as the Human Cell Atlas and Mouse Cell Atlas. These resources are foundational frameworks for investigating gene regulation, tissue architecture, and disease mechanisms. However, variations in biological focus, species representation, and dataset scale among available atlases necessitate a systematic comparative evaluation. This review provides an in-depth analysis of current single-cell atlases, assessing their scope, strengths, and limitations based on an updated framework derived from Hrovatin et al. We discuss the transformative role of sc-seq in oncology, immunology, and infectious disease research and highlight critical gaps in atlas development, including underrepresented species and tissue types. Finally, we propose key recommendations to guide future efforts in expanding, integrating, and standardizing single-cell atlas initiatives for enhanced translational impact.

Indexed as

Atlases as TopicSingle-Cell AnalysisAnimalsHumansMiceOrgan SpecificityTranscriptomeCellular heterogeneityHuman cell atlas (HCA)Mouse cell atlas (MCA)Single-cell atlasesSingle-cell sequencing (sc-seq)

Identifiers

PMID41326763
PMCPMC12775197

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.