Results 21 to 30 of about 1,214,396 (338)

Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing

Cell, 2020
Summary Lung cancer, the leading cause of cancer mortality, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood.
A. Maynard, C. McCoach, J. Rotow, Lincoln Harris, Franziska Haderk, D. Kerr, Elizabeth A. Yu, Erin L. Schenk, Weilun Tan, Alexander Zee, Michelle Tan, Philippe Gui, T. Lea, Wei Wu, A. Urisman, K. Jones, R. Sit, P. Kolli, E. Seeley, Y. Gesthalter, Daniel D. Le, K. Yamauchi, D. Naeger, Sourav Bandyopadhyay, K. Shah, Lauren Cech, Nicholas J. Thomas, Anshal Gupta, Mayra Gonzalez, Hien Do, L. Tan, Bianca Bacaltos, Rafael Gomez-Sjoberg, M. Gubens, T. Jahan, J. Kratz, D. Jablons, N. Neff, R. Doebele, J. Weissman, C. Blakely, S. Darmanis, T. Bivona   +42 more
semanticscholar   +3 more sources

Single‐Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell‐State Changes

Immunity, 2019
Summary Microglia, the resident immune cells of the brain, rapidly change states in response to their environment, but we lack molecular and functional signatures of different microglial populations.
Timothy R. Hammond, Connor Dufort, Lasse Dissing‐Olesen, Stefanie Giera, Adam M. H. Young, Alec Wysoker, A. Walker, Frederick W. Gergits, Michael Segel, J. Nemesh, S. Marsh, Arpiar Saunders, Evan Z. Macosko, F. Ginhoux, Jinmiao Chen, R. Franklin, X. Piao, S. Mccarroll, B. Stevens   +18 more
semanticscholar   +3 more sources

SAVER: Gene expression recovery for single-cell RNA sequencing

Nature Methods, 2018
In single-cell RNA sequencing (scRNA-seq) studies, only a small fraction of the transcripts present in each cell are sequenced. This leads to unreliable quantification of genes with low or moderate expression, which hinders downstream analysis.
Mo Huang, Jingshu Wang, E. Torre, Hannah Dueck, Sydney M. Shaffer, R. Bonasio, J. Murray, A. Raj, Mingyao Li, Nancy R. Zhang   +9 more
semanticscholar   +3 more sources

From bulk, single-cell to spatial RNA sequencing [PDF]

International Journal of Oral Science, 2021
RNA sequencing (RNAseq) can reveal gene fusions, splicing variants, mutations/indels in addition to differential gene expression, thus providing a more complete genetic picture than DNA sequencing.
Xinmin Li, Cun-Yu Wang
doaj   +5 more sources

SMARTer single cell total RNA sequencing [PDF]

Nucleic Acids Research, 2019
Abstract Single cell RNA sequencing methods have been increasingly used to understand cellular heterogeneity. Nevertheless, most of these methods suffer from one or more limitations, such as focusing only on polyadenylated RNA, sequencing of only the 3′ end of the transcript, an exuberant fraction of reads mapping to ribosomal RNA ...
Karen Verboom, Celine Everaert, Nathalie Bolduc, Kenneth J Livak, Nurten Yigit, Dries Rombaut, Jasper Anckaert, Simon Lee, Morten T Venø, Jørgen Kjems, Frank Speleman, Pieter Mestdagh, Jo Vandesompele   +12 more
openaire   +5 more sources

Single-cell RNA sequencing in juvenile idiopathic arthritis

Genes and Diseases
Juvenile idiopathic arthritis (JIA) is one of the most common chronic inflammatory rheumatic diseases in children, with onset before age 16 and lasting for more than 6 weeks.
Xiwen Luo, Xuemei Tang
doaj   +3 more sources

Advances in application of single-cell RNA sequencing in cardiovascular research

Frontiers in Cardiovascular Medicine, 2022
Single-cell RNA sequencing (scRNA-seq) provides high-resolution information on transcriptomic changes at the single-cell level, which is of great significance for distinguishing cell subtypes, identifying stem cell differentiation processes, and ...
Yue Hu, Ying Zhang, Yutong Liu, Yan Gao, Tiantian San, Xiaoying Li, Xiaoying Li, Sensen Song, Binglong Yan, Zhuo Zhao, Zhuo Zhao   +10 more
doaj   +1 more source

Recent advances in deciphering hippocampus complexity using single-cell transcriptomics

Neurobiology of Disease, 2023
Single-cell and single-nucleus RNA sequencing (scRNA-seq and snRNA-seq) technologies have emerged as revolutionary and powerful tools, which have helped in achieving significant progress in biomedical research over the last decade.
Chenxu Chang, Hongyan Zuo, Yang Li
doaj   +1 more source

Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology

Nature Cancer, 2022
Inferring single-cell compositions and their contributions to global gene expression changes from bulk RNA sequencing (RNA-seq) datasets is a major challenge in oncology.
Tinyi Chu, Zhong Wang, D. Pe’er, C. Danko   +3 more
semanticscholar   +1 more source

Application of single-cell RNA sequencing technologies in aortic dilatation diseases [PDF]

Jichu yixue yu linchuang, 2022
Aortic dilation disease, represented by aortic dissection and aortic aneurysm, is the most dangerous disease in vascular surgery. The pathogenesis of this disease is not very clear.
ZHENG Kai, REN Hua-liang, ZHANG Wang-de, LI Chun-min
doaj   +1 more source