Probe-Seq: Method for RNA Sequencing of Specific Cell Types from Animal Tissue

A Powerful Method for Transcriptional Profiling of Specific Cell Types in Eukaryotes: Laser-Assisted Microdissection and RNA Sequencing

The acquisition of distinct cell fates is central to the development of multicellular organisms and is largely mediated by gene expression patterns specific to individual cells and tissues. A spatially and temporally resolved analysis of gene expression facilitates the elucidation of transcriptional networks linked to cellular identity and function. We present an approach that allows cell type-...

Strand-specific libraries for high throughput RNA sequencing (RNA-Seq) prepared without poly(A) selection

UNLABELLED BACKGROUND High throughput DNA sequencing technology has enabled quantification of all the RNAs in a cell or tissue, a method widely known as RNA sequencing (RNA-Seq). However, non-coding RNAs such as rRNA are highly abundant and can consume >70% of sequencing reads. A common approach is to extract only polyadenylated mRNA; however, such approaches are blind to RNAs with short or ...

mcSCRB-seq: sensitive and powerful single-cell RNA sequencing

RNA Extraction from Animal and Human\'s Cancerous Tissues: Does Tissue Matter?

The reliability of gene expression profiling based technologies and methods to find transcriptional differences representative for the original samples is influenced by the quality of the extracted RNA. Hence, RNA extraction is the first step to investigate the gene expression and its function. Consequently, the quality of extracted RNA is really significant. Correspondingly, this research was ...

Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types.

In multicellular organisms, biological function emerges when heterogeneous cell types form complex organs. Nevertheless, dissection of tissues into mixtures of cellular subpopulations is currently challenging. We introduce an automated massively parallel single-cell RNA sequencing (RNA-seq) approach for analyzing in vivo transcriptional states in thousands of single cells. Combined with unsuper...