Single-cell RNA sequencing (scRNA-seq) enables the investigation of complex biological processes in multicellular organisms with high resolution. However, many phenotypic features that are critical to understanding the functional role of cells in a heterogeneous tissue or organ are not directly encoded in the genome and therefore cannot be profiled with scRNA-seq. Quantitative optical microscopy has long been a powerful approach for characterizing diverse cellular phenotypes including cell morphology, protein localization, and chemical composition. Combining scRNA-seq with optical imaging has the potential to provide comprehensive single-cell analysis, allowing for functional integration of gene expression profiling and cell-state character...
High-throughput single-cell RNA Sequencing (scRNA-seq) is a powerful platform for the characterisati...
The development of DNA-barcoded antibodies to tag cell surface molecules has enabled the use of drop...
In the wake of heterogeneous nature of most biological systems, single-cell analysis has gained enor...
Abstract Optically decodable beads link the identity of a sample to a measurement through an optical...
The single cell is the fundamental unit of biology. Understanding how the identity of individual cel...
Cellular biology has traditionally relied upon simple, low-dimensional single-cell measurements (e.g...
Single-cell RNA sequencing (scRNA-seq) offers great new opportunities for increasing our understandi...
Multicellular organisms rely on diverse cell types to carry out the multitude of tasks necessaryfor ...
Sequencing technologies have undergone a paradigm shift from bulk to single-cell resolution in respo...
Droplet-based microfluidic techniques in combination with continued sequencing advancement has revol...
Data and code used to produce the analysis in "Image-seq: A new technology for spatially-resolved si...
Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phen...
SummaryIt has long been the dream of biologists to map gene expression at the single-cell level. Wit...
Abstract The inherent heterogeneity of individual cells in cell populations plays significant roles ...
International audienceSingle cell multimodal analysis is at the frontier of single cell research: it...
High-throughput single-cell RNA Sequencing (scRNA-seq) is a powerful platform for the characterisati...
The development of DNA-barcoded antibodies to tag cell surface molecules has enabled the use of drop...
In the wake of heterogeneous nature of most biological systems, single-cell analysis has gained enor...
Abstract Optically decodable beads link the identity of a sample to a measurement through an optical...
The single cell is the fundamental unit of biology. Understanding how the identity of individual cel...
Cellular biology has traditionally relied upon simple, low-dimensional single-cell measurements (e.g...
Single-cell RNA sequencing (scRNA-seq) offers great new opportunities for increasing our understandi...
Multicellular organisms rely on diverse cell types to carry out the multitude of tasks necessaryfor ...
Sequencing technologies have undergone a paradigm shift from bulk to single-cell resolution in respo...
Droplet-based microfluidic techniques in combination with continued sequencing advancement has revol...
Data and code used to produce the analysis in "Image-seq: A new technology for spatially-resolved si...
Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phen...
SummaryIt has long been the dream of biologists to map gene expression at the single-cell level. Wit...
Abstract The inherent heterogeneity of individual cells in cell populations plays significant roles ...
International audienceSingle cell multimodal analysis is at the frontier of single cell research: it...
High-throughput single-cell RNA Sequencing (scRNA-seq) is a powerful platform for the characterisati...
The development of DNA-barcoded antibodies to tag cell surface molecules has enabled the use of drop...
In the wake of heterogeneous nature of most biological systems, single-cell analysis has gained enor...