[HTML][HTML] Single-cell sequencing in stem cell biology
L Wen, F Tang - Genome biology, 2016 - Springer
Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of stem
cell populations, but these differences are masked when bulk cells are used for omic …
cell populations, but these differences are masked when bulk cells are used for omic …
Single-cell transcriptional analysis
Despite being a relatively recent technological development, single-cell transcriptional
analysis through high-throughput sequencing has already been used in hundreds of fruitful …
analysis through high-throughput sequencing has already been used in hundreds of fruitful …
Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia
Recent advances in single-cell transcriptomics are ideally placed to unravel intratumoral
heterogeneity and selective resistance of cancer stem cell (SC) subpopulations to …
heterogeneity and selective resistance of cancer stem cell (SC) subpopulations to …
[HTML][HTML] Comparative analysis of droplet-based ultra-high-throughput single-cell RNA-seq systems
Since its establishment in 2009, single-cell RNA sequencing (RNA-seq) has been a major
driver behind progress in biomedical research. In developmental biology and stem cell …
driver behind progress in biomedical research. In developmental biology and stem cell …
[HTML][HTML] Single-cell resolution of temporal gene expression during heart development
DM DeLaughter, AG Bick, H Wakimoto, D McKean… - Developmental cell, 2016 - cell.com
Activation of complex molecular programs in specific cell lineages governs mammalian
heart development, from a primordial linear tube to a four-chamber organ. To characterize …
heart development, from a primordial linear tube to a four-chamber organ. To characterize …
[HTML][HTML] Determining sequencing depth in a single-cell RNA-seq experiment
An underlying question for virtually all single-cell RNA sequencing experiments is how to
allocate the limited sequencing budget: deep sequencing of a few cells or shallow …
allocate the limited sequencing budget: deep sequencing of a few cells or shallow …
Combinatorial labeling of single cells for gene expression cytometry
INTRODUCTION The measurement of specific proteins and transcripts in individual cells is
critical for understanding the role of cellular diversity in development, health, and disease …
critical for understanding the role of cellular diversity in development, health, and disease …
[HTML][HTML] Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
Single-cell RNA-sequencing (scRNA-Seq) is a compelling approach to directly and
simultaneously measure cellular composition and state, which can otherwise only be …
simultaneously measure cellular composition and state, which can otherwise only be …
[HTML][HTML] A comparative analysis of library prep approaches for sequencing low input translatome samples
Background Cell type-specific ribosome-pulldown has become an increasingly popular
method for analysis of gene expression. It allows for expression analysis from intact tissues …
method for analysis of gene expression. It allows for expression analysis from intact tissues …
[HTML][HTML] Single-cell RNA-sequencing of the brain
Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the
genomic, transcriptomic and epigenomic landscapes of cells within organs. The mammalian …
genomic, transcriptomic and epigenomic landscapes of cells within organs. The mammalian …