Results 11 to 20 of about 15,972 (195)

Ambient RNAs removal of cortex-specific snRNA-seq reveals Apoe + microglia/macrophage after deeper cerebral hypoperfusion in mice [PDF]

Journal of Neuroinflammation, 2023
Background Ambient RNAs contamination in single-nuclei RNA sequencing (snRNA-seq) is a challenging problem, but the consequences of ambient RNAs contamination of damaged and/or diseased tissues are poorly understood.
Yuan Zhang, Jinyun Tan, Kai Yang, Weijian Fan, Bo Yu, Weihao Shi   +5 more
doaj   +2 more sources

Neuron-specific transcriptomic dysregulation in methotrexate-induced cognitive impairment revealed by SnRNA-seq. [PDF]

Int J Surg
Background: Methotrexate (MTX) is a widely used chemotherapy drug, but its neurotoxicity can lead to cognitive impairments, particularly through effects on hippocampal function. Nevertheless, the underlying molecular mechanisms are not fully understood.
Ye J, Ding Y, Wu R, Ding H, Ren J, Xia Z, Chen J, Xie S, Jia Y.   +8 more
europepmc   +3 more sources

Protocol for the isolation of silk glands from silkworms for snRNA-seq and spatial transcriptomics. [PDF]

STAR Protoc
The silk glands (SGs) of silkworms specifically synthesize silk proteins, thus strongly influencing the yield and quality of silk. Here, we present a protocol for isolating SG nuclei from silkworms and obtaining high-quality tissue slices for spatial transcriptomics. We describe steps for rearing, dissecting, and nucleus isolation.
Ma Y, Dong K, Hu J, Tang Y, Xu H.
europepmc   +4 more sources

SnRNA-seq reveals the heterogeneity of spinal ventral horn and mechanism of motor neuron axon regeneration. [PDF]

iScience, 2023
Spinal motor neurons, the distinctive neurons of the central nervous system, extend into the peripheral nervous system and have outstanding ability of axon regeneration after injury. Here, we explored the heterogeneity of spinal ventral horn cells after rat sciatic nerve crush via single-nuclei RNA sequencing.
Zhu Y, Luan C, Gong L, Gu Y, Wang X, Sun H, Chen Z, Zhou Q, Liu C, Shan Q, Gu X, Zhou S.   +11 more
europepmc   +4 more sources

Avoiding false discoveries in single-cell RNA-seq by revisiting the first Alzheimer’s disease dataset

ELife, 2023
Mathys et al. conducted the first single-nucleus RNA-seq (snRNA-seq) study of Alzheimer’s disease (AD) (Mathys et al., 2019). With bulk RNA-seq, changes in gene expression across cell types can be lost, potentially masking the differentially expressed ...
Alan E Murphy, Nathan G Skene
exaly   +3 more sources

snRNA-seq reveals key transcription factors in the inflammatory response of microglia after intracerebral hemorrhage. [PDF]

Sci Rep
Intracerebral hemorrhage (ICH) is a severe neurological disease with limited treatment options. Microglia, the primary immune cells of the brain, contribute significantly to secondary injury following ICH, exhibiting heterogeneity in response across different stages of ICH.
Wu Z, Chen D, Chen S, Zhang G, Wu X, Shu K, Pan C, Tang Z.   +7 more
europepmc   +3 more sources

snRNA-seq stratifies multiple sclerosis patients into distinct white matter glial responses [PDF]

Neuron
Poor understanding of the cellular and molecular basis of clinical and genetic heterogeneity in progressive multiple sclerosis (MS) has hindered the search for new effective therapies. To address this gap, we analyzed 632,000 single-nucleus RNA sequencing profiles from 156 brain tissue samples of MS and control donors to examine inter- and intra-donor ...
Daniela Calini
exaly   +6 more sources

Avoiding false discoveries: Revisiting an Alzheimer’s disease snRNA-Seq dataset

, 2023
Abstract Arising From Mathys, H. et al. Nature (2019). https://doi.org/10.1038/s41586-019-1195-2 Mathys et al., conducted the first single-nucleus RNA-Seq study (snRNA-Seq) of Alzheimer’s disease (AD)1. The authors profiled the transcriptomes of approximately 80,000 cells from the prefrontal cortex, collected from 48 ...
Murphy AE, Fancy NN, Skene NG.
europepmc   +2 more sources

Tracing senescence in the Alzheimer’s brain through an eigengene‐based analysis of snRNA‐Seq data [PDF]

Alzheimers Dement
AbstractBackgroundCellular senescence, which can cause significant changes in morphology, metabolism, and function, is a key contributor to aging and diseases including Alzheimer’s Disease (AD). Accurate biomarker identification is essential for detecting senescent cells.
Dehkordi S, Zare H, Orr M.
europepmc   +2 more sources

SnRNA-Seq analysis reveals ten hub genes associated with alveolar epithelial cell injury during pulmonary acute respiratory distress syndrome [PDF]

Heliyon, 2023
Haoran Chen, Yongpeng Xie
exaly   +2 more sources