We describe a universal sample multiplexing method for single-cell RNA sequencing in which fixed cells are chemically labeled by attaching identifying DNA oligonucleotides to cellular proteins. Analysis of a 96-plex perturbation experiment revealed changes in cell population structure and transcriptional states that cannot be discerned from bulk measurements, establishing an efficient method for surveying cell populations from large experiments or clinical samples with the depth and resolution of single-cell RNA sequencing
Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dy...
The transcriptome of a cell contains a wealth of information about the cell’s current state and its ...
Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dy...
We describe a universal sample multiplexing method for single-cell RNA sequencing in which fixed cel...
We describe a universal sample multiplexing method for single-cell RNA sequencing in which fixed cel...
Multicellular organisms rely on diverse cell types to carry out the multitude of tasks necessaryfor ...
For the past several decades, due to technical limitations, the field of transcriptomics has focused...
This directory contains sequencing data in fastq format for three scRNA-seq experiments found in Geh...
Cellular biology has traditionally relied upon simple, low-dimensional single-cell measurements (e.g...
Cellular biology has traditionally relied upon simple, low-dimensional single-cell measurements (e.g...
Advances in single-cell analysis technologies are providing novel insights into phenotypic and funct...
Single cell RNA sequencing methods have been increasingly used to understand cellular heterogeneity....
The ability to quantify a large number of varied transcripts in single cells in their native spatial...
Understanding the spatial organization of gene expression with single-nucleotide resolution requires...
Single cell RNA sequencing methods have been increasingly used to understand cellular heterogeneity....
Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dy...
The transcriptome of a cell contains a wealth of information about the cell’s current state and its ...
Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dy...
We describe a universal sample multiplexing method for single-cell RNA sequencing in which fixed cel...
We describe a universal sample multiplexing method for single-cell RNA sequencing in which fixed cel...
Multicellular organisms rely on diverse cell types to carry out the multitude of tasks necessaryfor ...
For the past several decades, due to technical limitations, the field of transcriptomics has focused...
This directory contains sequencing data in fastq format for three scRNA-seq experiments found in Geh...
Cellular biology has traditionally relied upon simple, low-dimensional single-cell measurements (e.g...
Cellular biology has traditionally relied upon simple, low-dimensional single-cell measurements (e.g...
Advances in single-cell analysis technologies are providing novel insights into phenotypic and funct...
Single cell RNA sequencing methods have been increasingly used to understand cellular heterogeneity....
The ability to quantify a large number of varied transcripts in single cells in their native spatial...
Understanding the spatial organization of gene expression with single-nucleotide resolution requires...
Single cell RNA sequencing methods have been increasingly used to understand cellular heterogeneity....
Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dy...
The transcriptome of a cell contains a wealth of information about the cell’s current state and its ...
Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dy...