Although single-cell RNA sequencing (scRNA-seq) is currently the gold standard for the analysis of cell-specific expression profiles, the options for processing, staining, and preserving fresh cells remain very limited. Immediate and correct tissue processing is a critical determinant of scRNA-seq success. One major limitation is the restricted compatibility of fixation approaches, which must not destabilize or alter antibody labeling or RNA content or interfere with cell integrity. An additional limitation is the availability of expensive, high-demand cell-sorting equipment to exclude debris and dead or unwanted cells before proceeding with sample sequencing. The goal of this study was to develop a method that allows cells to be fixed and ...
Both single-cell RNA sequencing (scRNAseq) and single-nucleus RNA sequencing (snRNAseq) can be used ...
While sample preparation techniques for the chemical and biochemical analysis of tissues are fairly ...
Tissues are highly complex ecosystems, composed of heterogenous cell populations that vary in gene e...
Although single-cell RNA sequencing (scRNA-seq) is currently the gold standard for the analysis of c...
Single-cell and single-nucleus RNA sequencing have revolutionized biomedical research, allowing anal...
Background: High throughput single-cell RNA sequencing (scRNA-Seq) has emerged as a powerful tool fo...
The single cell RNA sequencing technique has been particularly used during the last years, allowing ...
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogen...
A variety of single-cell RNA preparation procedures have been described. So far, protocols require f...
BACKGROUND: Recent developments in droplet-based microfluidics allow the transcriptional profiling o...
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogen...
We present an optimized dissociation protocol for preparing high-quality skin cell suspensions for i...
© 2020, The Author(s). Single-cell genomics is essential to chart tumor ecosystems. Although single-...
Abstract Post-Mortem Brain Nuclei Isolation for Single Nucleus RNA Sequencing Charles Tran, Dept. o...
[eng] Single-cell RNA sequencing has revolutionized the way molecular mechanisms were being studied ...
Both single-cell RNA sequencing (scRNAseq) and single-nucleus RNA sequencing (snRNAseq) can be used ...
While sample preparation techniques for the chemical and biochemical analysis of tissues are fairly ...
Tissues are highly complex ecosystems, composed of heterogenous cell populations that vary in gene e...
Although single-cell RNA sequencing (scRNA-seq) is currently the gold standard for the analysis of c...
Single-cell and single-nucleus RNA sequencing have revolutionized biomedical research, allowing anal...
Background: High throughput single-cell RNA sequencing (scRNA-Seq) has emerged as a powerful tool fo...
The single cell RNA sequencing technique has been particularly used during the last years, allowing ...
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogen...
A variety of single-cell RNA preparation procedures have been described. So far, protocols require f...
BACKGROUND: Recent developments in droplet-based microfluidics allow the transcriptional profiling o...
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogen...
We present an optimized dissociation protocol for preparing high-quality skin cell suspensions for i...
© 2020, The Author(s). Single-cell genomics is essential to chart tumor ecosystems. Although single-...
Abstract Post-Mortem Brain Nuclei Isolation for Single Nucleus RNA Sequencing Charles Tran, Dept. o...
[eng] Single-cell RNA sequencing has revolutionized the way molecular mechanisms were being studied ...
Both single-cell RNA sequencing (scRNAseq) and single-nucleus RNA sequencing (snRNAseq) can be used ...
While sample preparation techniques for the chemical and biochemical analysis of tissues are fairly ...
Tissues are highly complex ecosystems, composed of heterogenous cell populations that vary in gene e...