Results 21 to 30 of about 731,457 (305)

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

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 of human kidney [PDF]

open access: yesScientific Data, 2020
AbstractA comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney, we rapidly obtained a single-cell suspension ...
Liao, Jinling   +11 more
openaire   +2 more sources

Single-cell RNA-sequencing of RVFV infection

open access: yes
On the RNA level, viral infections are characterized by perturbations in the host cell transcriptome as well as the development of viral genetic information.
Wyler, E.
core   +3 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

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

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

Single-cell RNA Sequencing in Immunology

open access: yesCurrent 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   +3 more
openaire   +3 more sources

Single Cell RNA Sequencing in Atherosclerosis Research [PDF]

open access: yesCirculation Research, 2020
Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including atherosclerotic plaques. New subsets of cells have been discovered among cell types previously considered homogenous. The commercial availability of systems to
Jesse W. Williams   +5 more
openaire   +2 more sources

Crafting a blueprint for single-cell RNA sequencing [PDF]

open access: yesTrends in Plant Science, 2022
Droplet-based single-cell RNA sequencing (scRNA-Seq) has moved rapidly from a technology with great potential to a method applied to ever-broader questions. The detailed information that scRNA-Seq offers has proven incredibly powerful in resolving cell responses to developmental and environmental cues.
Tom Denyer, Marja C.P. Timmermans
openaire   +2 more sources

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