Clinical and therapeutic relevance of cancer-associated fibroblasts
Cancer-associated fibroblasts (CAFs) found in primary and metastatic tumours are highly
versatile, plastic and resilient cells that are actively involved in cancer progression through …
versatile, plastic and resilient cells that are actively involved in cancer progression through …
Exploring tissue architecture using spatial transcriptomics
Deciphering the principles and mechanisms by which gene activity orchestrates complex
cellular arrangements in multicellular organisms has far-reaching implications for research …
cellular arrangements in multicellular organisms has far-reaching implications for research …
Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain
A key aspect of nearly all single-cell sequencing experiments is dissociation of intact tissues
into single-cell suspensions. While many protocols have been optimized for optimal cell …
into single-cell suspensions. While many protocols have been optimized for optimal cell …
Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …
does not capture their spatial distribution nor reveal local networks of intercellular …
Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data
Single-cell RNA sequencing (scRNA-seq) distinguishes cell types, states and lineages
within the context of heterogeneous tissues. However, current single-cell data cannot …
within the context of heterogeneous tissues. However, current single-cell data cannot …
Differential abundance testing on single-cell data using k-nearest neighbor graphs
Current computational workflows for comparative analyses of single-cell datasets typically
use discrete clusters as input when testing for differential abundance among experimental …
use discrete clusters as input when testing for differential abundance among experimental …
Single-cell multiomics: technologies and data analysis methods
Advances in single-cell isolation and barcoding technologies offer unprecedented
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …
Direct cell reprogramming: approaches, mechanisms and progress
The reprogramming of somatic cells with defined factors, which converts cells from one
lineage into cells of another, has greatly reshaped our traditional views on cell identity and …
lineage into cells of another, has greatly reshaped our traditional views on cell identity and …
Eleven grand challenges in single-cell data science
The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
The triumphs and limitations of computational methods for scRNA-seq
PV Kharchenko - Nature methods, 2021 - nature.com
The rapid progress of protocols for sequencing single-cell transcriptomes over the past
decade has been accompanied by equally impressive advances in the computational …
decade has been accompanied by equally impressive advances in the computational …