Single-cell transcriptomics makes it possible to unravel heterogeneous cell populations, reconstruct cellular developmental pathways, and model transcriptional dynamics—all …

Single-cell transcriptomics [single-cell RNA sequencing (SC-RNA-seq)] has an immense potential of uncovering the novel basis of human life. The well-known heterogeneity of cells at the …

This includes single-cell transcriptomics approaches, workflows and statistical approaches to data processing, as well as the potential advances, applications, opportunities and challenges of …

Aug 27, 2020 · Here, Sarah Aldridge and Sarah Teichmann review the last decade of technological advancements in single-cell transcriptomics and highlight some of the recent …

Oct 2, 2023 · Single-cell transcriptomics captures gene expression information at the level of individual cells. It empowers you to accurately pinpoint the various cell types, cell subtypes, …

To overcome these challenges, we developed STAMP (single-cell transcriptomics analysis and multimodal profiling), a highly scalable approach for the profiling of single cells.

With single‐cell RNA sequencing, it is now possible to analyse the transcriptome at single‐cell level for over millions of cells in a single study. This allows us to classify, characterize and …

Jan 1, 2023 · Single-cell technologies are based on separating, capturing, and labeling individual cells and allow high-throughput measurement of multiple cellular signals. These methods …

Aug 22, 2025 · In this review, we introduce SMS platform-based single-cell genome, epigenome, and transcriptome sequencing technologies – the current situation and future perspectives. …

At its core, single-cell transcriptomics involves isolating individual cells, extracting their RNA, converting it to complementary DNA (cDNA), and then sequencing this cDNA to determine …