MDIC3: Matrix decomposition to infer cell-cell communication

IF 7.4 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Patterns Pub Date : 2024-01-11 DOI:10.1016/j.patter.2023.100911
Yi Liu, Yuelei Zhang, Xiao Chang, Xiaoping Liu
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Abstract

Crosstalk among cells is vital for maintaining the biological function and intactness of systems. Most existing methods for investigating cell-cell communications are based on ligand-receptor (L-R) expression, and they focus on the study between two cells. Thus, the final communication inference results are particularly sensitive to the completeness and accuracy of the prior biological knowledge. Because existing L-R research focuses mainly on humans, most existing methods can only examine cell-cell communication for humans. As far as we know, there is currently no effective method to overcome this species limitation. Here, we propose MDIC3 (matrix decomposition to infer cell-cell communication), an unsupervised tool to investigate cell-cell communication in any species, and the results are not limited by specific L-R pairs or signaling pathways. By comparing it with existing methods for the inference of cell-cell communication, MDIC3 obtained better performance in both humans and mice.

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MDIC3:推断细胞间通信的矩阵分解法
细胞间的串扰对于维持生物功能和系统的完整性至关重要。大多数现有的细胞间通讯研究方法都是基于配体-受体(L-R)的表达,它们主要研究两个细胞之间的通讯。因此,最终的通讯推断结果对先验生物知识的完整性和准确性尤为敏感。由于现有的 L-R 研究主要集中在人类身上,因此大多数现有方法只能研究人类的细胞-细胞通讯。据我们所知,目前还没有有效的方法来克服这一物种限制。在这里,我们提出了 MDIC3(矩阵分解推断细胞间通讯),这是一种无监督的工具,可以研究任何物种的细胞间通讯,而且研究结果不受特定 L-R 对或信号通路的限制。通过与现有的细胞-细胞通讯推断方法进行比较,MDIC3在人类和小鼠身上都获得了更好的表现。
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来源期刊
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
期刊介绍:
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