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 …
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
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 …
CellMarker: a manually curated resource of cell markers in human and mouse
One of the most fundamental questions in biology is what types of cells form different tissues
and organs in a functionally coordinated fashion. Larger-scale single-cell sequencing and …
and organs in a functionally coordinated fashion. Larger-scale single-cell sequencing and …
Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
The lineage relationships among the hundreds of cell types generated during development
are difficult to reconstruct. A recent method, GESTALT, used CRISPR–Cas9 barcode editing …
are difficult to reconstruct. A recent method, GESTALT, used CRISPR–Cas9 barcode editing …
Single‐cell analysis using droplet microfluidics
Droplet microfluidics has revolutionized the study of single cells. The ability to
compartmentalize cells within picoliter droplets in microfluidic devices has opened up a wide …
compartmentalize cells within picoliter droplets in microfluidic devices has opened up a wide …
Single-cell transcriptomics meets lineage tracing
Reconstructing lineage relationships between cells within a tissue or organism is a long-
standing aim in biology. Traditionally, lineage tracing has been achieved through the …
standing aim in biology. Traditionally, lineage tracing has been achieved through the …
Beyond bulk: a review of single cell transcriptomics methodologies and applications
Highlights•Technologies such as single-cell RNA sequencing have rapidly progressed in
recent years.•Various methods exist for preparing libraries for sequencing, each with its own …
recent years.•Various methods exist for preparing libraries for sequencing, each with its own …
Integrative spatial analysis of cell morphologies and transcriptional states with MUSE
Spatial transcriptomics enables the simultaneous measurement of morphological features
and transcriptional profiles of the same cells or regions in tissues. Here we present multi …
and transcriptional profiles of the same cells or regions in tissues. Here we present multi …
Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data
How intrinsic gene-regulatory networks interact with a cell's spatial environment to define its
identity remains poorly understood. We developed an approach to distinguish between …
identity remains poorly understood. We developed an approach to distinguish between …