Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …

Microglial research has advanced considerably in recent decades yet has been constrained
by a rolling series of dichotomies such as" resting versus activated" and" M1 versus M2." …

In the last decade, single-cell RNA sequencing routinely performed on large numbers of
single cells has greatly advanced our understanding of the underlying heterogeneity of …

Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics,
are becoming powerful tools for profiling of cellular states in the tissue context,,,–. However …

Epigenetics regulates gene expression and has been confirmed to play a critical role in a
variety of metabolic diseases, such as diabetes, obesity, non-alcoholic fatty liver disease …

Joint profiling of chromatin accessibility and gene expression in individual cells provides an
opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present …

Recent technological innovations have enabled the high-throughput quantification of gene
expression and epigenetic regulation within individual cells, transforming our understanding …

Map** single-cell sequencing profiles to comprehensive reference datasets provides a
powerful alternative to unsupervised analysis. However, most reference datasets are …

Despite the emergence of experimental methods for simultaneous measurement of multiple
omics modalities in single cells, most single-cell datasets include only one modality. A major …