Evidence map›Paper›PMID 38449024›Full record

ArticleExperimental hematology & oncology2024

MSCsDB: a database of single-cell transcriptomic profiles and in-depth comprehensive analyses of human mesenchymal stem cells.

Miao Yu, Ke Sui, Zheng Wang, Xi Zhang

Abstract readLetter
In one paragraph

Article in Experimental hematology & oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. 3D-bioprinted adipose-derived stem cell-secreted GAS6Journal of nanobiotechnology · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. Article
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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.

Miao Yu *Medical Center of Hematology; State Key Laboratory of Trauma and Chemical Poisoning;Chongqing Key Laboratory of Hematology and Microenvironment, Xinqiao Hospital of Army Medical University, Chongqing, 400037, China.
Ke Sui *Medical Center of Hematology; State Key Laboratory of Trauma and Chemical Poisoning;Chongqing Key Laboratory of Hematology and Microenvironment, Xinqiao Hospital of Army Medical University, Chongqing, 400037, China.
Zheng WangMedical Center of Hematology; State Key Laboratory of Trauma and Chemical Poisoning;Chongqing Key Laboratory of Hematology and Microenvironment, Xinqiao Hospital of Army Medical University, Chongqing, 400037, China. biowz@mail.ustc.edu.cn.
Xi ZhangMedical Center of Hematology; State Key Laboratory of Trauma and Chemical Poisoning;Chongqing Key Laboratory of Hematology and Microenvironment, Xinqiao Hospital of Army Medical University, Chongqing, 400037, China. zhangxxi@sina.com.

Funding

National Key R&D Program of China 2022YFA1103300National Natural Science Foundation of China 82020108004Translational Research Grant of NCRCH 2020ZKZC02Youth Talent Development Program from Second Affiliated Hospital, Army Medical University 2022YQB014
6 · The paper itself

Abstract

Mesenchymal stem cells (MSCs) possess multipotent properties that make them promising candidates for immunomodulation and regenerative medicine. However, MSC heterogeneity poses challenges to their research reproducibility and clinical application. The emergence of single-cell RNA sequencing (scRNA-seq) technology has enabled a thorough examination of MSC heterogeneity, underscoring the necessity for a specialized platform to systematically analyze the published datasets derived from MSC scRNA-seq experiments. However, large-scale integration and in-depth exploration of MSC scRNA-seq datasets to comprehensively depict their developmental patterns, relationships, and knowledge are still lacking. Here, we present MSCsDB ( http://mscsdb.jflab.ac.cn:18088/index/ ), an interactive database that has been constructed using high-quality scRNA-seq datasets from all published sources on MSCs. MSCsDB provides a one-stop interactive query for regulon activities, gene ontology enrichment, signature gene visualization and transcription factor regulon analysis. Additionally, the dedicated module within MSCsDB was developed to facilitate the evaluation of MSC quality, thereby promoting the standardization of MSC subtype usage. Notably, MSCsDB enables users to analyze their MSCs scRNA-seq data directly, yielding visually appealing outputs of exceptional quality that can be conveniently downloaded via email. Furthermore, MSCsDB integrates the current comprehensive MSC atlas taxonomy, which includes 470,000 cells and 5 tissues from 26 subjects, as publicly available references. These references provide molecular characterization and phenotypic prediction for annotating MSC subsets. In summary, MSCsDB serves as a user-friendly and contemporary data repository for human MSCs, offering a dedicated platform that enables users to effectively conduct comprehensive analyses on their individual MSCs scRNA-seq data.

Indexed as

Atlas taxonomyDatabaseMesenchymal stem cellsOnline analysis tools

Identifiers

PMID38449024
PMCPMC10919002

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.