The ability to interrogate total RNA content of single cells would enable better mapping of the transcriptional logic behind emerging cell types and states. However, current RNA-seq methods are...
Read More »Valid Post-clustering Differential Analysis for Single-Cell RNA-Seq
Single-cell computational pipelines involve two critical steps: organizing cells (clustering) and identifying the markers driving this organization (differential expression analysis). State-of-the-art...
Read More »New computational tool enables powerful molecular analysis of biomedical tissue samples
Stanford researchers have developed a computational platform for analyzing the molecular behavior of individual cells in tissue samples,...
Read More »Ambiguous splice sites distinguish circRNA and linear splicing in the human genome
Identification of splice sites is critical to gene annotation and to determine which sequences control circRNA biogenesis. Full-length RNA transcripts could in principle complete annotations of introns and exons in genomes without external...
Read More »STARmap – three-dimensional intact-tissue sequencing of single-cell transcriptional states
Retrieving high-content gene-expression information while retaining three-dimensional (3D) positional anatomy at cellular resolution has been difficult, limiting integrative understanding of structure and function in complex biological tissues. Stanford...
Read More »A Small RNA isolation and sequencing protocol and its application to assay CRISPR RNA biogenesis
Next generation high-throughput sequencing has enabled sensitive and unambiguous analysis of RNA populations in cells. Here, Stanford University researchers describe a method for isolation and strand...
Read More »viscRNA-Seq (virus-inclusive single cell RNA-Seq) – probing host transcriptome together with intracellular viral RNA at the single cell level
Dengue and Zika viral infections affect millions of people annually and can be complicated by hemorrhage or neurological manifestations, respectively. However, a thorough understanding of the host response to these viruses is lacking...
Read More »Fingerprints of modified RNA bases from deep sequencing profiles
Posttranscriptional modifications of RNA bases are found not only in many noncoding RNAs but also have recently been identified in coding (messenger) RNAs as well. They require complex and laborious methods to locate, and many still lack methods for localized ...
Read More »RolyPoly – inferring relevant cell types for complex traits using single-cell gene expression
Previous studies have prioritized trait-relevant cell types by looking for an enrichment of genome-wide association study (GWAS) signal within functional regions. However, these studies are limited in cell resolution by the lack of functional annotations from difficult-to-characterize or rare cell ...
Read More »Using single-cell RNA sequencing data from primary cells to derive insights into genetic and transcriptional processes
As organisms age, cells accumulate genetic and epigenetic errors that eventually lead to impaired organ function or catastrophic transformation such as cancer. Because aging reflects a stochastic process of increasing disorder, cells in an organ will be individually affected in ...
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