Tag Archives: single cells

Single-cell RNA-sequencing (scRNA-seq) is a transformative technology, allowing global transcriptomes of individual cells to be profiled with high accuracy. An essential task in scRNA-seq data analysis is the identification of cell types from complex samples or tissues profiled in an ...

The importance of diversity and cellular specialization is clear for many reasons, from population-level diversification, to improved resiliency to unforeseen stresses, to unique functions within...

The sequencing of the transcriptome of single cells, or single-cell RNA-sequencing, has now become the dominant technology for the identification of novel cell types in heterogeneous cell populations or for the study of stochastic gene expression. In recent years, various ...

Advances in single-cell RNA-sequencing technology have resulted in a wealth of studies aiming to identify transcriptomic cell types in various biological...

The human placenta is a dynamic and heterogeneous organ critical in the establishment of the fetomaternal interface and the maintenance of gestational well-being. It is also the major source of cell-free fetal nucleic acids in the maternal circulation. Placental dysfunction ...

RNA-sequencing of single-cells enables characterization of transcriptional heterogeneity in seemingly homogenous cell populations. In this study, reseachers from the Karolinska Institute propose and apply a novel method, ISOform-Patterns (ISOP), based on mixture modeling, to characterize the expression patterns of pairs ...

PALO ALTO, Calif.–(BUSINESS WIRE)–Cellular Research, Inc., today announced an early access program for its new Whole Transcriptome Single Cell Precise™ Assays, which enable absolute and direct molecular counting of the entire transcriptome from single cells without any specialized equipment or ...

Highlights New method improves single-cell genomics analyses; Method clarifies the true differences and similarities between cells by modelling relatedness and removing confounding variables; Scientists can use known molecular pathways to better understand cancer cells, differentiation processes and the pathogenesis of ...

Recent studies on single cells and population transcriptomics have revealed striking differences in global gene expression distributions. Single cells display highly variable expressions between cells, while cell populations present deterministic global patterns. The mechanisms governing the reduction of transcriptome-wide variability ...