Results 1 to 10 of about 15,972 (195)

Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq [PDF]

IScience
Summary: Single cell sequencing technologies have revolutionized our understanding of biology by mapping cell diversity and gene expression in healthy and diseased tissues.
Mohamed Eltemamy, Byron H Lee, Angela H Ting   +2 more
exaly   +6 more sources

Identification of kidney cell types in scRNA-seq and snRNA-seq data using machine learning algorithms [PDF]

Heliyon
Introduction: Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) provide valuable insights into the cellular states of kidney cells.
Christine Limonte, Siddharth Madapoosi
exaly   +7 more sources

Integrating scRNA-seq and snRNA-seq with spatial transcriptomics to unlock the xylem puzzle [PDF]

Genome Biology
Background Xylem development is a dynamic, continuous process fundamental to secondary growth in woody plants and to biomass accumulation on earth.
Mingke Wei, Jo-Wei Allison Hsieh, Jr-Fong Dang, Botong Tong, Hui Li, Ronald Sederoff, Ying-Chung Jimmy Lin, Quanzi Li   +7 more
doaj   +4 more sources

SnRNA-Seq of Pancreas Revealed the Dysfunction of Endocrine and Exocrine Cells in Transgenic Pigs with Prediabetes [PDF]

International Journal of Molecular Sciences, 2023
Diabetes poses a significant threat to human health. Exocrine pancreatic dysfunction is related to diabetes, but the exact mechanism is not fully understood. This study aimed to describe the pathological phenotype and pathological mechanisms of the pancreas of transgenic pigs (PIGinH11) that was constructed in our laboratory and to compare it with ...
Huanqi Peng, Tianwen Wu, Cong Tao
exaly   +5 more sources

Protocol for achieving enhanced snRNA-seq data quality using Quality Clustering [PDF]

STAR Protocols
Summary: Single-nucleus RNA sequencing (snRNA-seq) data analysis presents a challenge in samples that have high levels of ambient RNA contamination.
Paavo J. Tavi, Johannes Ojanen, Pia Laitinen, Suvi Linna-Kuosmanen   +3 more
doaj   +4 more sources

Distinct systemic impacts of Aβ42 and Tau revealed by whole-organism snRNA-seq [PDF]

Neuron
Both neuronal and peripheral tissues become disrupted in Alzheimer's disease (AD). However, a comprehensive understanding of how AD impacts different tissues across the whole organism is lacking. Using Drosophila, we generated an AD Fly Cell Atlas (AD-FCA) based on whole-organism single-nucleus transcriptomes of 219 cell types from flies expressing AD ...
Hongjie Li
exaly   +4 more sources

Accurate sample deconvolution of pooled snRNA-seq using sex-dependent gene expression patterns [PDF]

NAR Genomics and Bioinformatics
Summary Single-nucleus RNA sequencing (snRNA-seq) technology offers unprecedented resolution for studying cell type-specific gene expression patterns. However, snRNA-seq poses high costs and technical limitations, often requiring the pooling of independent biological samples and the loss of individual sample-level data. Deconvolution of
, Jeremy J Day, Day Jeremy J
exaly   +5 more sources

A comprehensive cell atlas of fall armyworm (Spodoptera frugiperda) larval gut and fat body via snRNA-Seq [PDF]

Scientific Data
The midgut and fat body of insects control key physiological processes, including growth, digestion, metabolism, and stress response. Single-nucleus RNA sequencing (snRNA-seq) is a promising way to reveal organ complexity at the cellular level, yet data ...
Yongqi Shao, Junaid Iqbal, Shao Yongqi   +2 more
exaly   +3 more sources

QClus: a droplet filtering algorithm for enhanced snRNA-seq data quality in challenging samples. [PDF]

Nucleic Acids Res, 2022
Abstract Single-nuclei RNA sequencing remains a challenge for many human tissues, as incomplete removal of background signal masks cell-type-specific signals and interferes with downstream analyses. Here, we present Quality Clustering (QClus), a droplet filtering algorithm targeted toward challenging samples.
Schmauch E, Ojanen J, Galani K, Jalkanen J, Harju K, Hollmén M, Kokki H, Gunn J, Halonen J, Hartikainen J, Kiviniemi T, Tavi P, Kaikkonen MU, Kellis M, Linna-Kuosmanen S.   +14 more
europepmc   +3 more sources

Comprehensive snRNA-Seq Datasets of Human and Mouse Podocytopathy Integrated with GWAS of Microalbuminuria. [PDF]

Sci Data
Podocyte (POD) injury is a hallmark of glomerular diseases and a central cause of albuminuria and nephrotic syndrome. Despite the rapid advancements in single-cell sequencing technologies in recent years, POD capture remains limited, resulting in a lack of comprehensive single-cell datasets related to Podocytopathies (PCPs). In this study, we collected
Qing J, Hu J, Wang X, Wu J.
europepmc   +3 more sources