e16544 Background: Compared with single-cell RNA-sequencing (scRNA-seq), Single-nuclei RNA-sequencing(snRNA-seq) can detect more genes with higher sensitivity, and it is more robust in identifying cellular markers. TIGIT+ exhausted T cells were reported significantly associated with poor prognosis ...
Partial least squares discriminant analysis RNA-seq: RNA-sequencing ROC: Receiver operating characteristic SPT: Sucrose preference test SZ: Schizophrenia scRNA-seq: Single-cell RNA sequencing References GBD. Global, regional, and national burden of 12 mental disorders in 204 countries and terri...
Multimodal single-cell/nucleus RNA sequencing data analysis uncovers molecular networks between disease-associated microglia and astrocytes with implications for drug repurposing in Alzheimer's disease Systematic identification of molecular networks in disease relevant immune cells of the nervous system is ...
Defining cellular and molecular identities within the kidney is necessary to understand its organization and function in health and disease. Here we demonstrate a reproducible method with minimal artifacts for single-nucleus Droplet-based RNA sequencing (snDrop-Seq) that we use to resolve thirty distin...
RNA sequencing was carried out using the Illumina NovaSeq System. Data processing and core analysis of snRNA-seq dataset The sequencing data were processed using the zUMIs pipeline (version 2.3.0)9. The pipeline was used to first discard reads with low-quality barcodes and UMIs, and then to ...
Single-Nucleus RNA-Sequencing Analysis Cell-gene count matrices were generated using zUMIs (Parekh et al., 2018) with mapping to the mouse genome (mm10) and counting both intronic and exonic reads in Ensembl genes. Both genes and nuclei were quality-filtered in a step-by-step fashion. First...
Single-cell RNA sequencing (ScRNA-seq), single-nucleus RNA sequencing (SnRNA-seq), and Xenium-based spatial transcriptomics analyses were employed to evaluate the changes in mRNA expression in glial cells and neurons. Results From the ScRNA-seq and SnRNA-seq data, 31,390 glial cells and 48,...
in the context of PD have not yet been described. Recent technological advancements have facilitated more granulated analyses on the molecular phenotypes of PD at the single-cell level. Single-nucleus RNA sequencing (snRNA-seq) studies have examined cellular heterogeneity of the substantia nigra (SN...
Single-cell RNA sequencing (RNA-Seq) provides rich information about cell types and states. However, it is difficult to capture rare dynamic processes, such as adult neurogenesis, because isolation of rare neurons from adult tissue is challenging and markers for each phase are limited. Here, we...
Massively parallel single-cell and single-nucleus RNA sequencing has opened the way to systematic tissue atlases in health and disease, but as the scale of data generation is growing, so is the need for computational pipelines for scaled analysis. Here we developed Cumulus—a cloud-based framework...