Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the host

Summary: Stem cell therapy emerges as an effective approach for treating various currently untreatable diseases. However, fatal and unknown risks caused by their systemic use remain to be a major obstacle to clinical application. We developed a functional single-cell RNA sequencing (scRNA-seq) proce...

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Main Authors: Kaijing Yan, Jinlai Zhang, Wen Yin, Jeffrey N. Harding, Fei Ma, Di Wu, Haibo Deng, Pengfei Han, Rui Li, Hongxu Peng, Xin Song, Y. James Kang
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422201094X
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author Kaijing Yan
Jinlai Zhang
Wen Yin
Jeffrey N. Harding
Fei Ma
Di Wu
Haibo Deng
Pengfei Han
Rui Li
Hongxu Peng
Xin Song
Y. James Kang
author_facet Kaijing Yan
Jinlai Zhang
Wen Yin
Jeffrey N. Harding
Fei Ma
Di Wu
Haibo Deng
Pengfei Han
Rui Li
Hongxu Peng
Xin Song
Y. James Kang
author_sort Kaijing Yan
collection DOAJ
description Summary: Stem cell therapy emerges as an effective approach for treating various currently untreatable diseases. However, fatal and unknown risks caused by their systemic use remain to be a major obstacle to clinical application. We developed a functional single-cell RNA sequencing (scRNA-seq) procedure and identified that transcriptomic heterogeneity of adipose-derived stromal cells (ADSCs) in cultures is responsible for a fatal embolic risk of these cells in the host. The pro-embolic subpopulation of ADSCs in cultures was sorted by gene set enrichment analysis (GSEA) and verified by a supervised machine learning analysis. A mathematical model was developed and validated for the prediction of embolic risk of cultured ADSCs in animal models and further confirmed by its application to public data. Importantly, modification of culture conditions prevented the embolic risk. This novel procedure can be applied to other aspects of risk assessment and would help further the development of stem cell clinical applications.
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spelling doaj.art-9376d3b147074d0ca7169c7a81c4d4ca2022-12-22T02:51:19ZengElsevieriScience2589-00422022-08-01258104822Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the hostKaijing Yan0Jinlai Zhang1Wen Yin2Jeffrey N. Harding3Fei Ma4Di Wu5Haibo Deng6Pengfei Han7Rui Li8Hongxu Peng9Xin Song10Y. James Kang11Regenerative Medicine Research Center, Sichuan University West China Hospital, Chengdu, Sichuan 610044, China; Stem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaStem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaRegenerative Medicine Research Center, Sichuan University West China Hospital, Chengdu, Sichuan 610044, ChinaRegenerative Medicine Research Center, Sichuan University West China Hospital, Chengdu, Sichuan 610044, ChinaStem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaStem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaStem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaStem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaStem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaRegenerative Medicine Research Center, Sichuan University West China Hospital, Chengdu, Sichuan 610044, ChinaStem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, ChinaRegenerative Medicine Research Center, Sichuan University West China Hospital, Chengdu, Sichuan 610044, China; Stem Cell Biology Laboratory, Tasly Pharmaceutical Co. Ltd, Tianjin 300410, China; Corresponding authorSummary: Stem cell therapy emerges as an effective approach for treating various currently untreatable diseases. However, fatal and unknown risks caused by their systemic use remain to be a major obstacle to clinical application. We developed a functional single-cell RNA sequencing (scRNA-seq) procedure and identified that transcriptomic heterogeneity of adipose-derived stromal cells (ADSCs) in cultures is responsible for a fatal embolic risk of these cells in the host. The pro-embolic subpopulation of ADSCs in cultures was sorted by gene set enrichment analysis (GSEA) and verified by a supervised machine learning analysis. A mathematical model was developed and validated for the prediction of embolic risk of cultured ADSCs in animal models and further confirmed by its application to public data. Importantly, modification of culture conditions prevented the embolic risk. This novel procedure can be applied to other aspects of risk assessment and would help further the development of stem cell clinical applications.http://www.sciencedirect.com/science/article/pii/S258900422201094XStem cells researchcomputational bioinformaticstranscriptomics
spellingShingle Kaijing Yan
Jinlai Zhang
Wen Yin
Jeffrey N. Harding
Fei Ma
Di Wu
Haibo Deng
Pengfei Han
Rui Li
Hongxu Peng
Xin Song
Y. James Kang
Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the host
iScience
Stem cells research
computational bioinformatics
transcriptomics
title Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the host
title_full Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the host
title_fullStr Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the host
title_full_unstemmed Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the host
title_short Transcriptomic heterogeneity of cultured ADSCs corresponds to embolic risk in the host
title_sort transcriptomic heterogeneity of cultured adscs corresponds to embolic risk in the host
topic Stem cells research
computational bioinformatics
transcriptomics
url http://www.sciencedirect.com/science/article/pii/S258900422201094X
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