Current best practices in single‐cell RNA‐seq analysis: a tutorial

MD Luecken, FJ Theis - Molecular systems biology, 2019 - embopress.org
Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …

Single-cell sequencing of brain cell transcriptomes and epigenomes

EJ Armand, J Li, F Xie, C Luo, EA Mukamel - Neuron, 2021 - cell.com
Single-cell sequencing technologies, including transcriptomic and epigenomic assays, are
transforming our understanding of the cellular building blocks of neural circuits. By directly …

[HTML][HTML] High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa

H Xu, L Zhong, J Deng, J Peng, H Dan… - International journal of …, 2020 - nature.com
It has been reported that ACE2 is the main host cell receptor of 2019-nCoV and plays a
crucial role in the entry of virus into the cell to cause the final infection. To investigate the …

RNA velocity unraveled

G Gorin, M Fang, T Chari, L Pachter - PLOS Computational …, 2022 - journals.plos.org
We perform a thorough analysis of RNA velocity methods, with a view towards
understanding the suitability of the various assumptions underlying popular …

Single-cell transcriptomics to explore the immune system in health and disease

MJT Stubbington, O Rozenblatt-Rosen, A Regev… - Science, 2017 - science.org
The immune system varies in cell types, states, and locations. The complex networks,
interactions, and responses of immune cells produce diverse cellular ecosystems composed …

[HTML][HTML] Single-cell RNA-seq reveals dynamic change in tumor microenvironment during pancreatic ductal adenocarcinoma malignant progression

K Chen, Q Wang, M Li, H Guo, W Liu, F Wang, X Tian… - …, 2021 - thelancet.com
Background Pancreatic ductal adenocarcinoma (PDAC) is most aggressive among all
gastrointestinal tumors. The complex intra-tumor heterogeneity and special tumor …

A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications

A Haque, J Engel, SA Teichmann, T Lönnberg - Genome medicine, 2017 - Springer
RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative
analysis of messenger RNA molecules in a biological sample and is useful for studying …

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 …

Understanding tumor ecosystems by single-cell sequencing: promises and limitations

X Ren, B Kang, Z Zhang - Genome biology, 2018 - Springer
Cellular heterogeneity within and across tumors has been a major obstacle in
understanding and treating cancer, and the complex heterogeneity is masked if bulk tumor …

Interpretable factor models of single-cell RNA-seq via variational autoencoders

V Svensson, A Gayoso, N Yosef, L Pachter - Bioinformatics, 2020 - academic.oup.com
Motivation Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …