Results 51 to 60 of about 1,198,587 (324)

EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

Genome Biology, 2019
Droplet-based single-cell RNA sequencing protocols have dramatically increased the throughput of single-cell transcriptomics studies. A key computational challenge when processing these data is to distinguish libraries for real cells from empty droplets.
A. Lun, Samantha J. Riesenfeld, T. Andrews, T. Dao, T. Gomes, J. Marioni   +5 more
semanticscholar   +1 more source

Linked optical and gene expression profiling of single cells at high-throughput. [PDF]

, 2020
Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phenotypes of interest can be observed through changes in gene expression.
Abate, Adam R, Chang, Kai-Chun, Gartner, Zev J, Liu, Leqian, Siltanen, Christian A, Zhang, Jesse Q   +5 more
core   +1 more source

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   +1 more source

Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity. [PDF]

, 2018
Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of ...
Blake, Kerrigan, Davis, Ryan Tevia, Driver, Ian, Goga, Andrei, Jabart, Eric, James, Nathan, Kessenbrock, Kai, Khan, Seema A, Kumar, Raj, Lawson, Devon A, Ma, Dennis, Nguyen, Quy H, Pervolarakis, Nicholas, Phung, Anh T, Rock, Jason, Werb, Zena, Willey, Elizabeth   +16 more
core   +1 more source

Sample Multiplexing for Retinal Single-Cell RNA-Sequencing [PDF]

iScience
SummaryRare cell populations can be challenging to characterize using microfluidic single-cell RNA sequencing (scRNA-seq) platforms. Typically, the population of interest must be enriched and pooled from multiple biological specimens for efficient collection.
Justin Ma, Ting Kuan Chu, Maria Polo Prieto, Yong Park, Yumei Li, Rui Chen, Graeme Mardon, Benjamin J Frankfort, Nicholas M Tran   +8 more
openaire   +4 more sources

Revolutionizing immunology with single-cell RNA sequencing [PDF]

Cellular & Molecular Immunology, 2019
The immune system is composed of a complex hierarchy of cell types that protect the organism against disease and maintain homeostasis. Identifying heterogeneity of immune cells is the key to understanding the immune system. Advanced single-cell RNA sequencing (scRNA-seq) technologies are revolutionizing our ability to study immunology.
Haide, Chen, Fang, Ye, Guoji, Guo
openaire   +2 more sources

Multiplexed droplet single-cell RNA-sequencing using natural genetic variation

Nature Biotechnology, 2017
Droplet single-cell RNA-sequencing (dscRNA-seq) has enabled rapid, massively parallel profiling of transcriptomes. However, assessing differential expression across multiple individuals has been hampered by inefficient sample processing and technical ...
H. Kang, Meena Subramaniam, S. Targ, M. Nguyen, L. Maliskova, Elizabeth McCarthy, Eunice Wan, Simon Wong, Lauren E. Byrnes, C. Lanata, Rachel E. Gate, S. Mostafavi, A. Marson, N. Zaitlen, L. Criswell, Chun Jimmie Ye   +15 more
semanticscholar   +1 more source

scAnalyzeR: A Comprehensive Software Package With Graphical User Interface for Single-Cell RNA Sequencing Analysis and its Application on Liver Cancer

Technology in Cancer Research & Treatment, 2022
Introduction: The application of single-cell RNA sequencing to delineate tissue heterogeneity and complexity has become increasingly popular. Given its tremendous resolution and high-dimensional capacity for in-depth investigation, single-cell RNA ...
GS Chuwdhury MPhil, Irene Oi-Lin Ng MD, PhD, Daniel Wai-Hung Ho PhD   +2 more
doaj   +1 more source

Bulk RNA-seq and scRNA-seq analysis reveal an activation of immune response and compromise of secretory function in major salivary glands of obese mice

Computational and Structural Biotechnology Journal, 2023
Obesity affects the function of multiple organs/tissues including the exocrine organ salivary glands. However, the effects of obesity on transcriptomes and cell compositions in the salivary glands have yet been studied by bulk RNA-sequencing and single ...
Heping Huang, Ce Gao, Shuai Wang, Fen Wu, Jinsong Wei, Jinrong Peng   +5 more
doaj   +1 more source

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments [PDF]

, 2020
Background: In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost
Assefa, Alemu Takele, Thas, Olivier, Vandesompele, Jo   +2 more
core   +2 more sources