Results 11 to 20 of about 980,999 (298)

SMARTer single cell total RNA sequencing [PDF]

open access: yesNucleic 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   +12 more
openaire   +5 more sources

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

open access: yesFrontiers 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   +10 more
doaj   +1 more source

Single-cell RNA sequencing in juvenile idiopathic arthritis

open access: yesGenes 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

Recent advances in deciphering hippocampus complexity using single-cell transcriptomics

open access: yesNeurobiology 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

Single‐cell RNA sequencing in osteoarthritis

open access: yesCell 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   +5 more
openaire   +2 more sources

Overview of single‐cell RNA sequencing analysis and its application to spermatogenesis research

open access: yesReproductive Medicine and Biology, 2023
Background Single‐cell transcriptomics allows parallel analysis of multiple cell types in tissues. Because testes comprise somatic cells and germ cells at various stages of spermatogenesis, single‐cell RNA sequencing is a powerful tool for investigating ...
Takahiro Suzuki
doaj   +1 more source

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

open access: yesJichu 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

Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets

open access: yesGenome Biology, 2023
Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human tissue is important for understanding disease pathologies. However, several experimental and computational challenges impede transcriptomics-based deconvolution ...
Sean K. Maden   +5 more
doaj   +1 more source

Transcriptomics and single‐cell RNA‐sequencing [PDF]

open access: yesRespirology, 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   +3 more
openaire   +3 more sources

Single-cell RNA sequencing v1 [PDF]

open access: yes, 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

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