Results 21 to 30 of about 1,215,495 (340)

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

Single‐cell RNA sequencing in osteoarthritis

Cell Proliferation, 2023
AbstractOsteoarthritis is a progressive and heterogeneous joint disease with complex pathogenesis. The various phenotypes associated with each patient suggest that better subgrouping of tissues associated with genotypes in different phases of osteoarthritis may provide new insights into the onset and progression of the disease.
Yuyuan Gu, Yan Hu, Hao Zhang, Sicheng Wang, Ke Xu, Jiacan Su   +5 more
openaire   +2 more sources

Transcriptomics and single‐cell RNA‐sequencing [PDF]

Respirology, 2018
ABSTRACTThe past four decades have yielded advances in molecular biology allowing detailed characterization of the cellular genome and the transcriptome: the complete set of RNA species transcribed by a cell or tissue. Through transcriptomics and next‐generation sequencing, we can now attain an unprecedented level of detail in understanding cellular ...
Daniel C. Chambers, Alan M. Carew, Samuel W. Lukowski, Joseph E. Powell   +3 more
openaire   +3 more sources

Single-cell RNA sequencing v1 [PDF]

, 2021
Single-cell RNA sequencing (scRNA-seq) allows for transcriptional profiling of individual cells within a heterogenous sample. This protocol describes a method for performing scRNA-seq using handpicked pancreatic islets from organ donors.
Klaus H. Kaestner Lab, Suzanne Shapira
openaire   +1 more source

Single‐cell RNA sequencing technologies and applications: A brief overview

Clinical and Translational Medicine, 2022
Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art approach for unravelling the heterogeneity and complexity of RNA transcripts within individual cells, as well as revealing the composition of different cell types and ...
D. Jovic, Xue Liang, Hua Zeng, Lin Lin, Fengping Xu, Yonglun Luo   +5 more
semanticscholar   +1 more source

Single-cell RNA Sequencing in Immunology

Current Genomics, 2020
The complex immune system is involved in multiple pathological processes. Single-cell RNA sequencing (scRNA-seq) is able to analyze complex cell mixtures correct to a single cell and single molecule, thus is qualified to analyze immune reactions in several diseases.
Yirui Cao, Yue Qiu, Guowei Tu, Cheng Yang   +3 more
openaire   +3 more sources

SPsimSeq : semi-parametric simulation of bulk and single-cell RNA-sequencing data [PDF]

, 2020
SPsimSeq is a semi-parametric simulation method to generate bulk and single-cell RNA-sequencing data. It is designed to simulate gene expression data with maximal retention of the characteristics of real data.
Assefa, Alemu Takele, Thas, Olivier, Vandesompele, Jo   +2 more
core   +1 more source

Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types. [PDF]

, 2017
Many subtypes of cortical interneurons (CINs) are found in adult mouse cortices, but the mechanism generating their diversity remains elusive. We performed single-cell RNA sequencing on the mouse embryonic medial ganglionic eminence (MGE), the major ...
Chen, Ying-Jiun J, Durinck, Steffen, Friedman, Brad A, Ha, Connie, Liu, Jinfeng, Modrusan, Zora, Rubenstein, John L, Seshagiri, Somasekar   +7 more
core   +1 more source

DoubletFinder: Doublet detection in single-cell RNA sequencing data using artificial nearest neighbors

bioRxiv, 2018
Single-cell RNA sequencing (scRNA-seq) using droplet microfluidics occasionally produces transcriptome data representing more than one cell. These technical artifacts are caused by cell doublets formed during cell capture and occur at a frequency ...
Christopher S. McGinnis, Lyndsay M. Murrow, Zev J. Gartner   +2 more
semanticscholar   +1 more source