[HTML][HTML] Single-cell RNA-seq technologies and related computational data analysis

G Chen, B Ning, T Shi - Frontiers in genetics, 2019 - frontiersin.org
Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …

[PDF][PDF] The expanding landscape of alternative splicing variation in human populations

E Park, Z Pan, Z Zhang, L Lin, Y Xing - The American Journal of Human …, 2018 - cell.com
Alternative splicing is a tightly regulated biological process by which the number of gene
products for any given gene can be greatly expanded. Genomic variants in splicing …

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

R Argelaguet, B Velten, D Arnol, S Dietrich… - Molecular systems …, 2018 - embopress.org
Multi‐omics studies promise the improved characterization of biological processes across
molecular layers. However, methods for the unsupervised integration of the resulting …

Disease-specific oligodendrocyte lineage cells arise in multiple sclerosis

AM Falcão, D van Bruggen, S Marques, M Meijer… - Nature medicine, 2018 - nature.com
Multiple sclerosis (MS) is characterized by an immune system attack targeting myelin, which
is produced by oligodendrocytes (OLs). We performed single-cell transcriptomic analysis of …

Alternative mRNA splicing in cancer immunotherapy

L Frankiw, D Baltimore, G Li - Nature Reviews Immunology, 2019 - nature.com
Immunotherapies are yielding effective treatments for several previously untreatable
cancers. Still, the identification of suitable antigens specific to the tumour that can be targets …

[HTML][HTML] Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database

L Zappia, B Phipson, A Oshlack - PLoS computational biology, 2018 - journals.plos.org
As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the
number of tools designed to analyse these data has dramatically increased. Navigating the …

[HTML][HTML] Single-cell transcriptomics: current methods and challenges in data acquisition and analysis

A Adil, V Kumar, AT Jan, M Asger - Frontiers in Neuroscience, 2021 - frontiersin.org
Rapid cost drops and advancements in next-generation sequencing have made profiling of
cells at individual level a conventional practice in scientific laboratories worldwide. Single …

[HTML][HTML] Single-cell RNAseq for the study of isoforms—how is that possible?

Á Arzalluz-Luque, A Conesa - Genome biology, 2018 - Springer
Single-cell RNAseq and alternative splicing studies have recently become two of the most
prominent applications of RNAseq. However, the combination of both is still challenging …

Deep-learning augmented RNA-seq analysis of transcript splicing

Z Zhang, Z Pan, Y Ying, Z Xie, S Adhikari, J Phillips… - Nature …, 2019 - nature.com
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its
reliance on high sequencing coverage. We report DARTS (https://github …

[HTML][HTML] Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data

R Patrick, DT Humphreys, V Janbandhu, A Oshlack… - Genome biology, 2020 - Springer
High-throughput single-cell RNA-seq (scRNA-seq) is a powerful tool for studying gene
expression in single cells. Most current scRNA-seq bioinformatics tools focus on analysing …