Single-cell genomics technology has transformed our understanding of complex cellular
systems. However, excessive cost and a lack of strategies for the purification of newly …

Abstract Analysis of the human hematopoietic progenitor compartment is being transformed
by single-cell multimodal approaches. Cellular indexing of transcriptomes and epitopes by …

Single-cell proteomics can reveal cellular phenotypic heterogeneity and cell-specific
functional networks underlying biological processes. Here, we present a streamlined …

Large-scale single-cell analyses are of fundamental importance in order to capture
biological heterogeneity within complex cell systems, but have largely been limited to RNA …

Hematopoiesis is probably the best-understood stem cell differentiation system;
hematopoietic stem cell (HSC) transplantation represents the most widely used regenerative …

Single-cell RNA sequencing (scRNA-seq) distinguishes cell types, states and lineages
within the context of heterogeneous tissues. However, current single-cell data cannot …

High throughput single cell multi-omics platforms, such as mass cytometry (cytometry by time-
of-flight; CyTOF), high dimensional imaging (> 6 marker; Hyperion, MIBIscope, CODEX …

Recent technological advances have enabled massively parallel chromatin profiling with
scATAC-seq (single-cell assay for transposase accessible chromatin by sequencing). Here …

The immune system encompasses a large degree of phenotypic diversity and plasticity in its
cell types, and more is to be uncovered. We argue that large, multiomic datasets of single …

The ability to comprehensively profile cellular heterogeneity in functional proteome is crucial
in advancing the understanding of cell behavior, organism development, and disease …