4.7 Review

Cellular Heterogeneity of Mesenchymal Stem/Stromal Cells in the Bone Marrow

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fcell.2021.689366

Keywords

mesenchymal stem cells; heterogeneity; stem cell characterization; cell surface marker; myeloproliferative neoplasm; single-cell analysis

Funding

  1. Japan Society for the Promotion of Science (JSPS)/The Ministry of Education, Culture, Sports, Science and Technology (MEXT) KAKENHI [JP18KK0449, JP19KK0216, JP19K10024]
  2. Japan Agency for Medical Research and Development (AMED) [18bm0404022h0001]
  3. Takeda Science Foundation, Japan
  4. MRC [203151/Z/16/Z]
  5. Wellcome Trust [203151/Z/16/Z]
  6. National Health Service Blood and Transplant (United Kingdom), European Union's Horizon 2020 research [ERC-2014-CoG648765]
  7. MRC-AMED [MR/V005421/1]
  8. Program Foundation Award from Cancer Research United Kingdom [C61367/A26670]
  9. MRC [MR/V005421/1] Funding Source: UKRI

Ask authors/readers for more resources

This study discusses the heterogeneous nature of mesenchymal cell populations, integrating single-cell analysis data to enhance understanding, while outlining the cell populations involved in the development of myeloproliferative neoplasms.
Mesenchymal stem/stromal cells (MSCs) are present in various body tissues and help in maintaining homeostasis. The stemness of MSCs has been evaluated in vitro. In addition, analyses of cell surface antigens and gene expression patterns have shown that MSCs comprise a heterogeneous population, and the diverse and complex nature of MSCs makes it difficult to identify the specific roles in diseases. There is a lack of understanding regarding the classification of MSC properties. In this review, we explore the characteristics of heterogeneous MSC populations based on their markers and gene expression profiles. We integrated the contents of previously reported single-cell analysis data to better understand the properties of mesenchymal cell populations. In addition, the cell populations involved in the development of myeloproliferative neoplasms (MPNs) are outlined. Owing to the diversity of terms used to describe MSCs, we used the text mining technology to extract topics from MSC research articles. Recent advances in technology could improve our understanding of the diversity of MSCs and help us evaluate cell populations.

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