.png){kind=icon}
返回
DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data
.png){kind=icon}
OA
AI
DOI：10.1038/s41587-022-01288-0.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Deciphering the functional interactions of cells in tissues remains a major challenge. Here we describe DIALOGUE, a method to systematically uncover multicellular programs (MCPs)-combinations of coordinated cellular programs in different cell types that form higher-order functional units at the tissue level-from either spatial data or single-cell data obtained without spatial information. Tested on spatial datasets from the mouse hypothalamus, cerebellum, visual cortex and neocortex, DIALOGUE identified MCPs associated with animal behavior and recovered spatial properties when tested on unseen data while outperforming other methods and metrics. In spatial data from human lung cancer, DIALOGUE identified MCPs marking immune activation and tissue remodeling. Applied to single-cell RNA sequencing data across individuals or regions, DIALOGUE uncovered MCPs marking Alzheimer's disease, ulcerative colitis and resistance to cancer immunotherapy. These programs were predictive of disease outcome and predisposition in independent cohorts and included risk genes from genome-wide association studies. DIALOGUE enables the analysis of multicellular regulation in health and disease. Coordinated gene programs spanning multiple different cell types are identified in healthy and diseased tissues.
Keyword:
GENOME-WIDE EXPRESSION
T-CELLS
SEQ
IMMUNOTHERAPY
COMMUNICATION
HETEROGENEITY
ASSOCIATION
ACTIVATION
EXCLUSION
DISEASE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
41.7
论文数:
1.2W
被引数:
10.1W
机构
引用论文
分享收藏分享收藏Identification of spatial expression trends in single-cell gene expression data单细胞基因表达数据中空间表达趋势的识别.png)
NATURE METHODSOAAI
NATURE METHODSIF32.1
OAAI分享收藏CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexesCellPhoneDB: 从多亚基配体-受体复合物的联合表达推断细胞-细胞通讯NATURE PROTOCOLSOAAI
NATURE PROTOCOLSIF16
OAAI分享收藏MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing dataMAST: 用于评估单细胞RNA测序数据中转录变化和表征异质性的灵活统计框架GENOME BIOLOGYOAAI
GENOME BIOLOGYIF9.4
OAAI分享收藏Inactivation of Interferon Regulatory Factor 1 Causes Susceptibility to Colitis-Associated Colorectal CancerSCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor CharacteristicsCELL REPORTSOAAI
CELL REPORTSIF6.9
OAAI分享收藏
查看更多内容