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. 2023 May 1;4(2):102268.
doi: 10.1016/j.xpro.2023.102268. Online ahead of print.

Protocol to assess fatal embolism risks from human stem cells

Fei Ma  1 , Jinlai Zhang  1 , Xin Jin  1 , Pengfei Han  1 , Yuling Liu  1 , Ting Zhang  1 , Kaijing Yan  1 , Y James Kang  2
Affiliations

Protocol to assess fatal embolism risks from human stem cells

Fei Ma et al. STAR Protoc. .

Abstract

Here, we present a protocol to identify the pro-embolic sub-population of human adipose-derived multipotent stromal cells (ADSCs) and predict fatal embolism risks from ADSC infusion. We describe steps for the collection, processing, and classification of ADSC single-cell RNA-seq data. We then detail the development of a mathematical model for predicting ADSC embolic risk. This protocol allows for the development of prediction models to enhance the assessment of cell quality and advance the clinical applications of stem cells. For complete details on the use and execution of this protocol, please refer to Yan et al. (2022).1.

Keywords: Bioinformatics; Health Sciences; RNAseq; Stem Cells.

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Conflict of interest statement

Declaration of interests The authors declare no competing interests.

Figures

None
Graphical abstract
Figure 1
Figure 1
Modify the YML file before running preprocessing pipeline of BD Rhapsody platform The file location corresponding to the red character must be filled correctly, especially the sequenced fastq file.
Figure 2
Figure 2
Selected optimal number of most important features (A) the change curve of cross validation accuracy with the continuous addition of important features in a single model, (B) zoom in at the inflection point of the change curve (A) of the feature selection model.
Figure 3
Figure 3
The development and operation flow chart of the protocol
See this image and copyright information in PMC

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References

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