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Single-cell RNA-seq highlights heterogeneity in human primary Wharton's jelly mesenchymal stem/stromal cells cultured in vitro.

Changbin Sun | Lei Wang | Hailun Wang | Tingrun Huang | Wenwen Yao | Jing Li | Xi Zhang
Stem cell research & therapy | 2020

Mesenchymal stem/stromal cells (MSCs) are multipotent cells with a promising application potential in regenerative medicine and immunomodulation. However, MSCs cultured in vitro exhibit functional heterogeneity. The underlying molecular mechanisms that define MSC heterogeneity remain unclear.

Pubmed ID: 32252818

Research resources used in this publication

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Antibodies used in this publication

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Associated grants

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ClinicalTrials.gov (tool)

RRID:SCR_002309

Registry and results database of federally and privately supported clinical trials conducted in United States and around world. Provides information about purpose of trial, who may participate, locations, and phone numbers for more details. This information should be used in conjunction with advice from health care professionals.Offers information for locating federally and privately supported clinical trials for wide range of diseases and conditions. Research study in human volunteers to answer specific health questions. Interventional trials determine whether experimental treatments or new ways of using known therapies are safe and effective under controlled environments. Observational trials address health issues in large groups of people or populations in natural settings. ClinicalTrials.gov contains trials sponsored by National Institutes of Health, other federal agencies, and private industry. Studies listed in database are conducted in all 50 States and in 178 countries.

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PANTHER (tool)

RRID:SCR_004869

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featureCounts (tool)

RRID:SCR_012919

A read summarization program, which counts mapped reads for the genomic features such as genes and exons.

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BD Biosciences (tool)

RRID:SCR_013311

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HISAT2 (tool)

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Seurat (tool)

RRID:SCR_016341

Software as R package designed for QC, analysis, and exploration of single cell RNA-seq data. Enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data.

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