The starting material for all single-cell protocols is a cell suspension. The particular functions and spatial distribution of immune cells generally make them easy to isolate them from the tissues where they dwell. Here we describe tissue dissociation protocols that have been used to obtain human immune cells from lymphoid and nonlymphoid tissues to be then used as input to single-cell methods. We highlight the main factors that can influence the final quality of single-cell data, namely the stress signatures that can bias its interpretation
Cell-type specific gene expression profiles are needed for many computational methods operating on b...
Tissues are highly complex ecosystems, composed of heterogenous cell populations that vary in gene e...
Immune single-cell RNA-seq data collection and preprocessing Blood and tumor samples were harvested...
Single-cell and single-nucleus RNA sequencing have revolutionized biomedical research, allowing anal...
International audienceThe rapid progress of single-cell RNA-sequencing (scRNA-seq) at large scales h...
Understanding how populations of human T cells leverage cellular heterogeneity, plasticity, and dive...
We present an optimized dissociation protocol for preparing high-quality skin cell suspensions for i...
During the last decade, the rapid progress in the development of next-generation sequencing (NGS) te...
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogen...
Both single-cell RNA sequencing (scRNAseq) and single-nucleus RNA sequencing (snRNAseq) can be used ...
Although single-cell RNA sequencing (scRNA-seq) is currently the gold standard for the analysis of c...
This archive contains input data, singularity containers as well as all results related to the singl...
Cells are encapsulated decision-making units that measure external stimuli, process incoming informa...
Single-cell RNA sequencing (scRNA-Seq) is transforming our ability to characterize cells, particular...
Abstract Background High Content Screening has been shown to improve results of RNAi and other pertu...
Cell-type specific gene expression profiles are needed for many computational methods operating on b...
Tissues are highly complex ecosystems, composed of heterogenous cell populations that vary in gene e...
Immune single-cell RNA-seq data collection and preprocessing Blood and tumor samples were harvested...
Single-cell and single-nucleus RNA sequencing have revolutionized biomedical research, allowing anal...
International audienceThe rapid progress of single-cell RNA-sequencing (scRNA-seq) at large scales h...
Understanding how populations of human T cells leverage cellular heterogeneity, plasticity, and dive...
We present an optimized dissociation protocol for preparing high-quality skin cell suspensions for i...
During the last decade, the rapid progress in the development of next-generation sequencing (NGS) te...
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogen...
Both single-cell RNA sequencing (scRNAseq) and single-nucleus RNA sequencing (snRNAseq) can be used ...
Although single-cell RNA sequencing (scRNA-seq) is currently the gold standard for the analysis of c...
This archive contains input data, singularity containers as well as all results related to the singl...
Cells are encapsulated decision-making units that measure external stimuli, process incoming informa...
Single-cell RNA sequencing (scRNA-Seq) is transforming our ability to characterize cells, particular...
Abstract Background High Content Screening has been shown to improve results of RNAi and other pertu...
Cell-type specific gene expression profiles are needed for many computational methods operating on b...
Tissues are highly complex ecosystems, composed of heterogenous cell populations that vary in gene e...
Immune single-cell RNA-seq data collection and preprocessing Blood and tumor samples were harvested...