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

Single-cell combinatorial indexing RNA sequencing (sci-RNA-seq) is a powerful method for
recovering gene expression data from an exponentially scalable number of individual cells …

Single-cell transcriptomic approaches have revolutionised the study of complex biological
systems, with the routine measurement of gene expression in thousands of cells enabling …

Emerging research has identified metabolic pathways that are crucial for the proper
regulation of immune cells and how, when deranged, they can cause immune dysfunction …

As an emerging sequencing technology, single-cell RNA sequencing (scRNA-Seq) has
become a powerful tool for describing cell subpopulation classification and cell …

Modern immunologic research increasingly requires high-dimensional analyses to
understand the complex milieu of cell types that comprise the tissue microenvironments of …

In recent years, spatial transcriptomics (ST) technologies have developed rapidly and have
been widely used in constructing spatial tissue atlases and characterizing spatiotemporal …

Assigning functions to genes and learning how to control their expression are part of the
foundation of cell biology and therapeutic development. An efficient and unbiased method to …

The respiratory system's complex cellular heterogeneity presents unique challenges to
researchers in this field. Although bulk RNA sequencing and single-cell RNA sequencing …

Uncover cell composition, cellular spatial distribution, and cell-to-cell interactions in tissues
are significant for the understanding of physiological and pathological processes. Over the …