Gene regulatory network inference in the era of single-cell multi-omics
The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …
CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics
Recent advances in single-cell sequencing technologies offer an opportunity to explore cell–
cell communication in tissues systematically and with reduced bias. A key challenge is …
cell communication in tissues systematically and with reduced bias. A key challenge is …
Inference and analysis of cell-cell communication using CellChat
Understanding global communications among cells requires accurate representation of cell-
cell signaling links and effective systems-level analyses of those links. We construct a …
cell signaling links and effective systems-level analyses of those links. We construct a …
Computational principles and challenges in single-cell data integration
The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …
multiple dimensions of cellular heterogeneity, enabling new insights into development …
Characterizing cis-regulatory elements using single-cell epigenomics
Cell type-specific gene expression patterns and dynamics during development or in disease
are controlled by cis-regulatory elements (CREs), such as promoters and enhancers …
are controlled by cis-regulatory elements (CREs), such as promoters and enhancers …
Benchmarking algorithms for single-cell multi-omics prediction and integration
Y Hu, S Wan, Y Luo, Y Li, T Wu, W Deng, C Jiang… - Nature …, 2024 - nature.com
The development of single-cell multi-omics technology has greatly enhanced our
understanding of biology, and in parallel, numerous algorithms have been proposed to …
understanding of biology, and in parallel, numerous algorithms have been proposed to …
Single-cell sequencing techniques from individual to multiomics analyses
Y Kashima, Y Sakamoto, K Kaneko, M Seki… - … & Molecular Medicine, 2020 - nature.com
Here, we review single-cell sequencing techniques for individual and multiomics profiling in
single cells. We mainly describe single-cell genomic, epigenomic, and transcriptomic …
single cells. We mainly describe single-cell genomic, epigenomic, and transcriptomic …
Multi-omics integration in the age of million single-cell data
An explosion in single-cell technologies has revealed a previously underappreciated
heterogeneity of cell types and novel cell-state associations with sex, disease, development …
heterogeneity of cell types and novel cell-state associations with sex, disease, development …
scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning
Single-cell multiomics data continues to grow at an unprecedented pace. Although several
methods have demonstrated promising results in integrating several data modalities from …
methods have demonstrated promising results in integrating several data modalities from …
The landscape of cell–cell communication through single-cell transcriptomics
Cell–cell communication is a fundamental process that shapes biological tissue. Historically,
studies of cell–cell communication have been feasible for one or two cell types and a few …
studies of cell–cell communication have been feasible for one or two cell types and a few …