StemSC: a cross-dataset human stemness index for single-cell samples
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Published:2022-03-21
Issue:1
Volume:13
Page:
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ISSN:1757-6512
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Container-title:Stem Cell Research & Therapy
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language:en
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Short-container-title:Stem Cell Res Ther
Author:
Zheng Hailong, Xie Jiajing, Song Kai, Yang Jing, Xiao Huiting, Zhang Jiashuai, Li Keru, Yuan Rongqiang, Zhao Yuting, Gu Yunyan, Zhao WenyuanORCID
Abstract
Abstract
Background
Stemness is defined as the potential of cells for self-renewal and differentiation. Many transcriptome-based methods for stemness evaluation have been proposed. However, all these methods showed low negative correlations with differentiation time and can’t leverage the existing experimentally validated stem cells to recognize the stem-like cells.
Methods
Here, we constructed a stemness index for single-cell samples (StemSC) based on relative expression orderings (REO) of gene pairs. Firstly, we identified the stemness-related genes by selecting the genes significantly related to differentiation time. Then, we used 13 RNA-seq datasets from both the bulk and single-cell embryonic stem cell (ESC) samples to construct the reference REOs. Finally, the StemSC value of a given sample was calculated as the percentage of gene pairs with the same REOs as the ESC samples.
Results
We validated the StemSC by its higher negative correlations with differentiation time in eight normal datasets and its higher positive correlations with tumor dedifferentiation in three colorectal cancer datasets and four glioma datasets. Besides, the robust of StemSC to batch effect enabled us to leverage the existing experimentally validated cancer stem cells to recognize the stem-like cells in other independent tumor datasets. And the recognized stem-like tumor cells had fewer interactions with anti-tumor immune cells. Further survival analysis showed the immunotherapy-treated patients with high stemness had worse survival than those with low stemness.
Conclusions
StemSC is a better stemness index to calculate the stemness across datasets, which can help researchers explore the effect of stemness on other biological processes.
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Biochemistry, Genetics and Molecular Biology (miscellaneous),Molecular Medicine,Medicine (miscellaneous)
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