Results 1 to 10 of about 17,437 (131)

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.
Oliver Wessely, Angela H Ting
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.
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

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

Partial domain adaptation enables cross domain cell type annotation between scRNA-seq and snRNA-seq. [PDF]

PLoS Computational Biology
Accurate cell type annotation across datasets is a key challenge in single-cell analysis. snRNA-seq enables profiling of frozen or difficult-to-dissociate tissues, complementing scRNA-seq by capturing fragile or rare cell types. However, cross-annotation
Xiran Chen, Quan Zou, Qinyu Cai, Xiaofeng Chen, Weikai Li, Yansu Wang   +5 more
doaj   +2 more sources

Optimized nuclei isolation and snRNA-seq reveal oligodendrocyte pathway dysregulation in MOGHE brain tissue from pediatric patients [PDF]

Scientific Reports
Single-cell RNA sequencing (scRNA-seq) is a powerful tool for exploring cellular diversity, but isolating intact cells from complex tissues like the brain remains challenging.
Clara Tuccari di San Carlo, Roberto Semeraro, Valentina Cetica, Dalila De Vita, Benedetta Mazzinghi, Antonio Falace, Cristiana Pelorosso, Paola Romagnani, Alberto Magi, Renzo Guerrini, Valerio Conti   +10 more
doaj   +2 more sources

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

SnRNA‐seq reveals cellular heterogeneity and proliferation mechanisms in limb venous malformations [PDF]

Animal Models and Experimental Medicine
Background Venous malformations (VMs) are congenital vascular anomalies characterized by abnormal vascular proliferation, with limb VMs often leading to functional impairment and physical discomfort.
Junjie Lin, Tingting Liu, Bin Fang, Xiaojuan Feng, Wenting Jiao, Changkuan Chen, Yaqing Ding, Gaozan Zhu, Wenqiu Wang, Wenbo Liu, Yuanqi Li, Shoufu Hou, Jianshe Wei, Junbo Qiao   +13 more
doaj   +2 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 Murphy, Nathan Skene, Nurun Fancy
exaly   +3 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 ...
Chao Sun, Yongqi Shao, Junaid Iqbal
doaj   +2 more sources