Distinct Characteristics between Perivascular and Subcutaneous Adipose Derived Stem Cells

Adipose derived stem cells (ADSCs) can differentiate into vascular lineages and participate in vascular remodeling. Perivascular ADSCs (PV-ADSCs) draw attention due to their unique location. The heterogeneity of subcutaneous (SUB-) and abdominal ADSCs were well addressed, but PV-ADSCs’ heterogeneity hasn’t been investigated. In the present study, we applied single-cell analysis to compare SUB-ADSCs and PV-ADSCs respectively regarding their subpopulations, functions, and cell fates. We uncovered 4 subpopulations of PV-ADSCs including Dpp4+, Col4a2+/Icam1+, Clec11a+/Cpe+ and Sult1e1+ cells, among which <a></a><a>Clec11a+ subpopulation</a> potentially participated in and regulated the PV-ADSCs differentiation towards a smooth muscle cell (SMC) phenotype. The present study revealed the <a></a><a>distinct characteristics </a>between PV-ADSCs and SUB-ADSCs.

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Abstract P353: Adipose-derived Stem Cells Contribute To Vascular Remodeling Via Clec11a + Subpopulation

Circulation Research ◽

10.1161/res.129.suppl_1.p353 ◽

2021 ◽

Vol 129 (Suppl_1) ◽

Author(s):

Yongli Ji ◽

Yunrui Lu ◽

Jian Shen ◽

Meixiang Xiang ◽

Yao Xie

Keyword(s):

Stem Cells ◽

Single Cell ◽

Vascular Remodeling ◽

Single Cell Analysis ◽

Gene Set Enrichment Analysis ◽

Adipose Derived Stem Cells ◽

Cell Analysis ◽

Tgf Β1

Introduction: Recent researches identified the existence of perivascular adipose-derived stem cells (ADSCs) which could differentiate into vascular lineages and participate in vascular remodeling. Single-cell mRNA analysis revealed cellular heterogeneity of subcutaneous ADSCs in respect to cell clustering and cell differentiation. However, such analysis of perivascular ADSCs has not been investigated at a single-cell level. Hypothesis: There is a significant difference among perivascular ADSCs subpopulations in respect to vascular-lineage differentiation. Methods: We performed droplet-based single-cell profiling of subcutaneous and perivascular adipose stromal cells and compared ADSCs regarding their heterogeneity, gene ontology, and cell fate trajectory by applying single-cell analysis as well as in vitro and in vivo assays. Results: Single-cell analysis uncovered 4 perivascular ADSCs subpopulations including Dpp4+ , Col4a2+ / Icam1+ , Clec11a+ / Cpe+ and Sult1e1+ cells. Notably, the Clec11a + subpopulation comprised the bulk of perivascular ADSCs, while was hardly presented in subcutaneous ADSCs. Further gene-set enrichment analysis suggested Clec11a + ADSCs were potentially involved with TGF-β signaling pathways and pseudotemporal analysis predicted that Clec11a + subpopulation lay at the end of the differential trajectory towards smooth muscle cells (SMCs). In vitro assays displayed that perivascular ADSCs could differentiate into SMCs via CLEC11A regulation when treated by TGF-β1. To further elucidate the role of the Clec11a + subpopulation in SMCs differentiation, we labeled CLEC11A+ and CLEC11A- perivascular ADSCs by lentivirus transfection and isolated them by FACS assay. CLEC11A+ cells showed the greater capability of SMCs differentiation in response to TGF-β1 in vitro and enhanced neointima formation when transplanted to the adventitial side of guidewire injured arteries. Conclusions: The present study depicted the unique heterogeneity of perivascular ADSCs and the novel role of the Clec11a + subpopulation, providing a supplement for the relationship between perivascular ADSCs and vascular SMCs.

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Faculty Opinions recommendation of Atheroprotective roles of smooth muscle cell phenotypic modulation and the TCF21 disease gene as revealed by single-cell analysis.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.736285521.793563782 ◽

2019 ◽

Author(s):

Levon Khachigian

Keyword(s):

Smooth Muscle ◽

Smooth Muscle Cell ◽

Single Cell ◽

Muscle Cell ◽

Disease Gene ◽

Single Cell Analysis ◽

Cell Analysis ◽

Phenotypic Modulation

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Atheroprotective roles of smooth muscle cell phenotypic modulation and the TCF21 disease gene as revealed by single-cell analysis

Nature Medicine ◽

10.1038/s41591-019-0512-5 ◽

2019 ◽

Vol 25 (8) ◽

pp. 1280-1289 ◽

Cited By ~ 65

Author(s):

Robert C. Wirka ◽

Dhananjay Wagh ◽

David T. Paik ◽

Milos Pjanic ◽

Trieu Nguyen ◽

...

Keyword(s):

Smooth Muscle ◽

Smooth Muscle Cell ◽

Single Cell ◽

Muscle Cell ◽

Disease Gene ◽

Single Cell Analysis ◽

Cell Analysis ◽

Phenotypic Modulation

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Single-Cell Transcriptome Analysis as a Promising Tool to Study Pluripotent Stem Cell Reprogramming

International Journal of Molecular Sciences ◽

10.3390/ijms22115988 ◽

2021 ◽

Vol 22 (11) ◽

pp. 5988

Author(s):

Hyun Kyu Kim ◽

Tae Won Ha ◽

Man Ryul Lee

Keyword(s):

Stem Cells ◽

Single Cell ◽

Cell Fate ◽

Human Cell ◽

Transcriptome Analysis ◽

Single Cell Analysis ◽

Embryonic Stem ◽

Single Cell Level ◽

Cell Analysis ◽

Cell Level

Cells are the basic units of all organisms and are involved in all vital activities, such as proliferation, differentiation, senescence, and apoptosis. A human body consists of more than 30 trillion cells generated through repeated division and differentiation from a single-cell fertilized egg in a highly organized programmatic fashion. Since the recent formation of the Human Cell Atlas consortium, establishing the Human Cell Atlas at the single-cell level has been an ongoing activity with the goal of understanding the mechanisms underlying diseases and vital cellular activities at the level of the single cell. In particular, transcriptome analysis of embryonic stem cells at the single-cell level is of great importance, as these cells are responsible for determining cell fate. Here, we review single-cell analysis techniques that have been actively used in recent years, introduce the single-cell analysis studies currently in progress in pluripotent stem cells and reprogramming, and forecast future studies.

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