Results 41 to 50 of about 15,972 (195)
Summary: Caenorhabditis elegans is a valuable model to study organ, tissue, and cell-type responses to external cues. However, the nematode comprises multiple syncytial tissues with spatial coordinates corresponding to distinct nuclear transcriptomes ...
Max T. Levenson +8 more
doaj +1 more source
A comprehensive anatomically-defined atlas of brain transcriptomics in macaques is still lacking. Here, the authors generate complementary bulk RNA-seq and snRNA-seq datasets from cynomolgus macaques to examine the link between brain-wide gene expression
Tingting Bo +12 more
doaj +1 more source
Myonuclear transcriptional dynamics in response to exercise following satellite cell depletion
Summary: Skeletal muscle is composed of post-mitotic myofibers that form a syncytium containing hundreds of myonuclei. Using a progressive exercise training model in the mouse and single nucleus RNA-sequencing (snRNA-seq) for high-resolution ...
Yuan Wen +5 more
doaj +1 more source
Quality control analysis for 10X snRNA-seq v2
Here we describe a computational protocol for performing quality control analysis on shallow sequencing data obtained from 10X snRNA-seq experiments. The workflow starts with raw MiSeq run folders and uses cellranger to generate count matrices. The raw count matrices are analyzed and sequencing saturation plots are generated.
openaire +1 more source
scREAD: A Single-Cell RNA-Seq Database for Alzheimer's Disease
Summary: Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the brain and the most common form of dementia among the elderly. The single-cell RNA-sequencing (scRNA-Seq) and single-nucleus RNA-sequencing (snRNA-Seq) techniques are ...
Jing Jiang +4 more
doaj +1 more source
Machine learning for cell type classification from single nucleus RNA sequencing data.
With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping is now a data-driven exercise providing statistical evidence to support cell type/state categorization.
Huy Le +6 more
doaj +1 more source
Quality control analysis for 10X snRNA-seq v1
Here we describe a computational protocol for performing quality control analysis on shallow sequencing data obtained from 10X snRNA-seq experiments. The workflow starts with raw MiSeq run folders and uses cellranger to generate count matrices. The raw count matrices are analyzed and sequencing saturation plots are generated.
openaire +1 more source
Single-cell and single-nuclei RNA-sequencing (scRNA-seq and snRNA-seq) analyze cell-specific transcriptomes. However, only snRNA-seq applies to frozen biobanked samples.
Karin Engström +5 more
doaj +1 more source
Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics
Oligodendrocytes (OL) have been for decades considered a passive, homogenous population of cells that provide support to neurons, and show a limited response to pathological stimuli. This view has been dramatically changed by the introduction of powerful
Lukas Valihrach +13 more
doaj +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source

