Results 41 to 50 of about 1,198,587 (324)

Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma

Nature Communications, 2020
Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell transcriptome profiling of metastatic lung adenocarcinoma, the most prevalent ...
N. Kim, H. Kim, K. Lee, Yourae Hong, J. Cho, J. Choi, Jung-Il Lee, Y. Suh, B. Ku, Hye Hyeon Eum, Soyean Choi, Yoon-La Choi, Je-Gun Joung, W. Park, H. Jung, Jong-Mu Sun, Se-Hoon Lee, J. Ahn, Keunchil Park, M. Ahn, Hae-Ock Lee   +20 more
semanticscholar   +1 more source

Normalizing single-cell RNA sequencing data: challenges and opportunities [PDF]

, 2017
Single-cell transcriptomics is becoming an important component of the molecular biologist's toolkit. A critical step when analyzing data generated using this technology is normalization.
A Mortazavi, A Scialdone, A Zeisel, A-E Saliba, AA Kolodziejczyk, AA Kolodziejczyk, AA Pollen, AM Klein, Antonio Scialdone, AT Lun, B Ding, B Li, C Gawad, C Trapnell, CA Vallejos, CA Vallejos, Catalina A Vallejos, D Grün, D Risso, Davide Risso, E Pierson, E Shapiro, EZ Macosko, F Buettner, F Tang, G Finak, GK Smyth, J Lovén, JH Bullard, John C Marioni, JT Leek, L Haghverdi, L Jiang, M Goolam, M-A Dillies, MD Robinson, O Stegle, P Brennecke, PV Kharchenko, R Bacher, S Anders, S Islam, S Islam, S Katayama, SA Hardwick, SA Munro, Sandrine Dudoit, X Qiu   +47 more
core   +2 more sources

SINC-seq: correlation of transient gene expressions between nucleus and cytoplasm reflects single-cell physiology [PDF]

, 2018
We report a microfluidic system that physically separates nuclear RNA (nucRNA) and cytoplasmic RNA (cytRNA) from a single cell and enables single-cell integrated nucRNA and cytRNA-sequencing (SINC-seq).
Abdelmoez Mahmoud N., Iida Kei, Kotera Hidetoshi, Nishikii Hidekazu, Oguchi Yusuke, Santiago Juan G., Shintaku Hirofumi, Uemura Sotaro, Yokokawa Ryuji, 錦井 秀和   +9 more
core   +2 more sources

Pumping the brakes on RNA velocity by understanding and interpreting RNA velocity estimates

Genome Biology, 2023
Background RNA velocity analysis of single cells offers the potential to predict temporal dynamics from gene expression. In many systems, RNA velocity has been observed to produce a vector field that qualitatively reflects known features of the system ...
Shijie C. Zheng, Genevieve Stein-O’Brien, Leandros Boukas, Loyal A. Goff, Kasper D. Hansen   +4 more
doaj   +1 more source

Single cell RNA sequencing research in maternal fetal interface

Frontiers in Cell and Developmental Biology, 2023
The maternal-fetal interface is an essential environment for embryonic growth and development, and a successful pregnancy depends on the dynamic balance of the microenvironment at the maternal-fetal interface.
Qian Chen, Qian Chen, Dan Shan, Dan Shan, Yupei Xie, Yupei Xie, Xingrong Luo, Xingrong Luo, Yuxia Wu, Yuxia Wu, Qiuhe Chen, Qiuhe Chen, Ruihong Dong, Ruihong Dong, Yayi Hu, Yayi Hu, Yayi Hu   +16 more
doaj   +1 more source

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   +1 more source

A benchmark of batch-effect correction methods for single-cell RNA sequencing data

Genome Biology, 2020
Large-scale single-cell transcriptomic datasets generated using different technologies contain batch-specific systematic variations that present a challenge to batch-effect removal and data integration.
Hoa T M Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, N. Lee, Michelle Goh, Jinmiao Chen   +6 more
semanticscholar   +1 more source

Experimental design for single-cell RNA sequencing [PDF]

Briefings in Functional Genomics, 2017
Single-cell RNA sequencing (scRNA-seq) has opened new avenues for the characterization of heterogeneity in a large variety of cellular systems. As this is a relatively new technique, the field is fast evolving. Here, we discuss general considerations in experimental design and the two most popular approaches, plate-based Smart-Seq2 and microdroplet ...
Baran-Gale, Jeanette, Chandra, Tamir, Kirschner, Kristina   +2 more
openaire   +4 more sources

Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

Nature Communications, 2018
The liver is the largest solid organ in the body and is critical for metabolic and immune functions. However, little is known about the cells that make up the human liver and its immune microenvironment.
S. Macparland, Jeffrey C. Liu, Xuezhong Ma, Brendan T. Innes, A. Bartczak, B. K. Gage, J. Manuel, Nicholas Khuu, J. Echeverri, I. Linares, Rahul Gupta, Michael L Cheng, Lewis Y. Liu, Damra Camat, Sai W. Chung, Rebecca K Seliga, Zigong Shao, Elizabeth Lee, Shinichiro Ogawa, Mina Ogawa, M. Wilson, Jason E. Fish, M. Selzner, A. Ghanekar, D. Grant, P. Greig, G. Sapisochin, N. Selzner, N. Winegarden, O. Adeyi, G. Keller, Gary D Bader, I. McGilvray   +32 more
semanticscholar   +1 more source

Intracerebral Hemorrhage and Ischemic Stroke of Different Etiologies Have Distinct Alternatively Spliced mRNA Profiles in the Blood: a Pilot RNA-seq Study. [PDF]

, 2015
Whole transcriptome studies have used 3'-biased expression microarrays to study genes regulated in the blood of stroke patients. However, alternatively spliced messenger RNA isoforms have not been investigated for ischemic stroke or intracerebral ...
Ander, Bradley P, Dykstra-Aiello, Cheryl, Ho, Carolyn, Hull, Heather, Jickling, Glen C, Liu, DaZhi, Orantia, Miles, Stamova, Boryana, Zhan, Xinhua   +8 more
core   +2 more sources