Evidence map›Paper›PMID 31845522›Full record

ArticleJournal of cellular and molecular medicine2020

Identification of differentially expressed genes by single-cell transcriptional profiling of umbilical cord and synovial fluid mesenchymal stem cells.

Zhaofeng Jia, Shijin Wang, Qisong Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 57 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Zhaofeng JiaDepartment of Osteoarthropathy and Institute of Orthopedic Research, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University and the First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0003-2377-6277
Shijin WangDepartment of Orthopaedics, Taian City Central Hospital, Taian, China.
Qisong LiuInstitute for Regenerative Medicine, Texas A&M Health Science Center College of Medicine, Temple, TX, USA.
Jinan University · CNTaian City Central Hospital · CNTexas A&M Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to measure the heterogeneity in human umbilical cord-derived mesenchymal stem cells (hUC-MSCs) and human synovial fluid-derived mesenchymal stem cells (hSF-MSCs) by single-cell RNA-sequencing (scRNA-seq). Using Chromium™ technology, scRNA-seq was performed on hUC-MSCs and hSF-MSCs from samples that passed our quality control checks. In order to identify subgroups and activated pathways, several bioinformatics tools were used to analyse the transcriptomic profiles, including clustering, principle components analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), gene set enrichment analysis, as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. scRNA-seq was performed on the two sample sets. In total, there were 104 761 163 reads for the hUC-MSCs and 6 577 715 for the hSF-MSCs, with >60% mapping rate. Based on PCA and t-SNE analyses, we identified 11 subsets within hUC-MSCs and seven subsets within hSF-MSCs. Gene set enrichment analysis determined that there were 533, 57, 32, 44, 10, 319, 731, 1037, 90, 25 and 230 differentially expressed genes (DEGs) in the 11 subsets of hUC-MSCs and 204, 577, 30, 577, 16, 57 and 35 DEGs in the seven subsets of hSF-MSCs. scRNA-seq was not only able to identify subpopulations of hUC-MSCs and hSF-MSCs within the sample sets, but also provided a digital transcript count of hUC-MSCs and hSF-MSCs within a single patient. scRNA-seq analysis may elucidate some of the biological characteristics of MSCs and allow for a better understanding of the multi-directional differentiation, immunomodulatory properties and tissue repair capabilities of MSCs.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisTranscription, GeneticGene Expression RegulationGene OntologyHumansMesenchymal Stem CellsPrincipal Component AnalysisSynovial FluidUmbilical CordDEGshSF-MSCshUC-MSCsScRNA-seqsubpopulations

Identifiers

PMID31845522
PMCPMC6991657
OpenAlexW2995210453

What OpenQuestion holds

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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.