scholarly journals Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity

2021 ◽  
Vol 11 (12) ◽  
Author(s):  
Zheng Wang ◽  
Chengyan Chai ◽  
Rui Wang ◽  
Yimei Feng ◽  
Lei Huang ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Single Cell ◽  
Human Mesenchymal Stem Cells ◽  
Cellular Heterogeneity ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

scholarly journals PB1988 CANCER-ASSOCIATED MECHANISMS OF MESENCHYMAL STEM CELLS REVEALED BY SINGLE-CELL TRANSCRIPTOME ANALYSIS

HemaSphere ◽  
2019 ◽  
Vol 3 (S1) ◽  
pp. 901
Author(s):  
A. Stucky ◽  
X. Chen ◽  
C. Li ◽  
J. cai ◽  
X. Zhang ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Single Cell ◽  
Transcriptome Analysis ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

scholarly journals Single-Cell Transcriptome Analyses Reveal Signals to Activate Dormant Neural Stem Cells

Cell ◽  
2015 ◽  
Vol 161 (5) ◽  
pp. 1175-1186 ◽  
Author(s):  
Yuping Luo ◽  
Volkan Coskun ◽  
Aibing Liang ◽  
Juehua Yu ◽  
Liming Cheng ◽  
...  
Keyword(s):  
Stem Cells ◽  
Neural Stem Cells ◽  
Single Cell ◽  
Transcriptome Analyses ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

Early adhesion of human mesenchymal stem cells on TiO2 surfaces studied by single-cell force spectroscopy measurements

2012 ◽  
Vol 25 (5) ◽  
pp. 262-269 ◽  
Author(s):  
P. Bertoncini ◽  
S. Le Chevalier ◽  
S. Lavenus ◽  
P. Layrolle ◽  
G. Louarn
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Single Cell ◽  
Human Mesenchymal Stem Cells ◽  
Force Spectroscopy ◽  
Cell Force

scholarly journals Single-cell transcriptome analysis of embryonic and adult endothelial cells allows to rank the hemogenic potential of post-natal endothelium

2021 ◽  
Author(s):  
Artem Adamov ◽  
Yasmin Natalia Serina Sechanecia ◽  
Christophe Lancrin
Keyword(s):  
Stem Cells ◽  
Endothelial Cells ◽  
Hematopoietic Stem Cells ◽  
Single Cell ◽  
Rational Design ◽  
Continuous Production ◽  
Cellular Reprogramming ◽  
Hematopoietic Stem ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

Hematopoietic stem cells are crucial for the continuous production of blood cells during life. The transplantation of these cells is one of the most common treatments to cure patient suffering of blood diseases. However, the lack of suitable donors is a major limitation. One option to get hematopoietic stem cells matching perfectly a patient is cellular reprogramming. Hematopoietic stem cells emerge from endothelial cells in blood vessels during embryogenesis through the endothelial to hematopoietic transition. Here, we used single-cell transcriptomics analysis to compare embryonic and post-natal endothelial cells to investigate the potential of adult vasculature to be reprogrammed in hematopoietic stem cells. Although transcriptional similarities have been found between embryonic and adult endothelial cells, we found some key differences in term of transcription factors expression. There is a deficit of expression of Runx1, Tal1, Lyl1 and Cbfb in adult endothelial cells compared to their embryonic counterparts. Using a combination of gene expression profiling and gene regulatory network analysis, we found that endothelial cells from the pancreas, brain, kidney and liver appear to be the most suitable targets for cellular reprogramming into hematopoietic stem cells. Overall, our work provides an important resource for the rational design of a reprogramming strategy for the generation of hematopoietic stem cells.

scholarly journals Single-cell Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells

2021 ◽  
Author(s):  
Chen Zhang ◽  
Xueshuai Han ◽  
Jingkun Liu ◽  
Lei Chen ◽  
Ying Lei ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Single Cell ◽  
Ex Vivo ◽  
Developmental Trajectory ◽  
Cellular Heterogeneity ◽  
Multipotent Progenitor Cells ◽  
Definition Of

Ex vivo-expanded mesenchymal stem cells (MSCs) have been demonstrated to be a heterogeneous mixture of cells exhibiting varying proliferative, multipotential, and immunomodulatory capacities. However, the exact characteristics of MSCs remain largely unknown. By single-cell RNA sequencing of 61,296 MSCs derived from bone marrow and Wharton's jelly, we revealed five distinct subpopulations. The developmental trajectory of these five MSC subpopulations were mapped, revealing a differentiation path from stem-like active proliferative cells (APCs) to multipotent progenitor cells, followed by the branching into two paths - adipogenesis or osteochondrogenesis - and subsequent differentiation into unipotent prechondrocytes. The stem-like APCs, expressing the perivascular mesodermal progenitor markers CSPG4/MCAM/NES, uniquely exhibited strong proliferation and stemness signatures. Remarkably, the prechondrocyte subpopulation specifically expressed immunomodulatory genes and was able to suppress activated CD3+ T cell proliferation in vitro, supporting the role of this population in immunoregulation. In summary, our analysis mapped the heterogeneous subpopulations of MSCs and identified two subpopulations with potential functions in self-renewal and immunoregulation. Our findings advance the definition of MSCs by identifying the specific functions of its heterogeneous cellular composition, allowing for more specific and effective MSC application through the purification of its functional subpopulations.

scholarly journals Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses

2021 ◽  
Author(s):  
Rong Lu ◽  
HUMBERTO CONTRERAS-TRUJILLO ◽  
JIYA EERDENG ◽  
SAMIR AKRE ◽  
DU JIANG ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Dna Barcode ◽  
Treatment Resistance ◽  
Intratumoral Heterogeneity ◽  
Integrated System ◽  
Cellular Heterogeneity ◽  
Gene Expression Signatures ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

Abstract Cellular heterogeneity is a major cause of treatment resistance in cancer. Despite recent advances in single-cell genomic and transcriptomic sequencing, it remains difficult to relate measured molecular profiles to the cellular activities underlying cancer. Here, we present an integrated experimental system that connects single cell gene expression to heterogeneous cancer cell growth, metastasis, and treatment response. Our system integrates single cell transcriptome profiling with DNA barcode based clonal tracking in patient-derived xenograft models. We show that leukemia cells exhibiting unique gene expression signatures respond to different chemotherapies in distinct but consistent manners across multiple mice. In addition, we uncover an unexpected yet common form of leukemia expansion that is spatially confined to the bone marrow of single anatomical sites and driven by cells with distinct gene expression signatures. Our integrated system directly and effectively interrogates the molecular and cellular basis of the intratumoral heterogeneity underlying disease progression and treatment resistance.

scholarly journals Mapping SOX9 transcriptional dynamics during multi-lineage differentiation of human mesenchymal stem cells

2021 ◽  
Author(s):  
Kannan Govindaraj ◽  
Sakshi Khurana ◽  
Marcel Karperien ◽  
Janine Nicole Post
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Transcription Factor ◽  
Single Cell ◽  
Adipogenic Differentiation ◽  
Human Mesenchymal Stem Cells ◽  
Cell Types ◽  
Differentiation Potential ◽  
Lineage Differentiation ◽  
Transcriptional Dynamics

The master transcription factor SOX9 is a key player during chondrocyte differentiation, cartilage development, homeostasis and disease. Modulation of SOX9 and its target gene expression is essential during chondrogenic, osteogenic and adipogenic differentiation of human mesenchymal stem cells (hMSCs). However, lack of sufficient knowledge about the signaling interplay during differentiation remains one of the main reasons preventing successful application of hMSCs in regenerative medicine. We previously showed that Transcription Factor - Fluorescence Recovery After Photobleaching (TF-FRAP) can be used to study SOX9 dynamics at the single cell level. We showed that changes in SOX9 dynamics are linked to its transcriptional activity. Here, we investigated SOX9 dynamics during differentiation of hMSCs into the chondrogenic, osteogenic and adipogenic lineages. We show that there are clusters of cells in hMSCs with distinct SOX9 dynamics, indicating that there are a number of subpopulations present in the heterogeneous hMSCs. SOX9 dynamics data at the single cell resolution revealed novel insights about its activity in these subpopulations (cell types). In addition, the response of SOX9 to differentiation stimuli varied in these subpopulations. Moreover, we identified donor specific differences in the number of cells per cluster in undifferentiated hMSCs, and this correlated to their differentiation potential.

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