Blog:Long-read single-cell Sequencing
0
1
Entering edit mode
5 months ago
Gabby ▴ 20

Long-read single-cell transcriptomics (scRNA-Seq) is revolutionizing the way we profile heterogeneity in disease. Traditional short-read scRNA-Seq methods are limited in their ability to provide complete transcript coverage, resolve isoforms, and identify novel transcripts. The scRNA-Seq protocols developed for long-read sequencing platforms overcome these limitations by enabling the characterization of full-length transcripts. Long-read scRNA-Seq techniques initially suffered from comparatively poor accuracy compared to short reads. However, with improvements in accuracy, accessibility, and cost efficiency, long-reads are gaining popularity in the field of scRNA-Seq.

Article Link: https://link.springer.com/article/10.1007/s00439-024-02678-x

long-read single cell evolution

Suitability of various tissues for scRNA‑Seq libraries preparation The choice of input tissue type suitable for scRNA-Seq depends on several factors, including the availability of adequate amounts of high-quality tissue, the goal of the experiment, and the method used for tissue preservation. Whole-cell scRNA-Seq approaches and single-nucleus RNA sequencing protocols (snRNA-Seq) are two widely used approaches of sc transcriptomics for various tissue types. Fresh-frozen tissue is often considered the gold standard for scRNA-Seq experiments as it provides the highest quality RNA. However, snRNA-Seq protocols can be applied to snap-frozen samples, avoiding many of the dissociation-related artifacts.

Bioinformatics tools and pipelines.

Tools

RNASeq Long-read single-cell scRNA-Seq transcriptomics • 237 views
ADD COMMENT

Login before adding your answer.

Traffic: 2065 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6