Results 51 to 60 of about 17,437 (131)

Myonuclear transcriptional dynamics in response to exercise following satellite cell depletion

iScience, 2021
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, Davis A. Englund, Bailey D. Peck, Kevin A. Murach, John J. McCarthy, Charlotte A. Peterson   +5 more
doaj   +1 more source

Machine learning for cell type classification from single nucleus RNA sequencing data.

PLoS ONE, 2022
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, Beverly Peng, Janelle Uy, Daniel Carrillo, Yun Zhang, Brian D Aevermann, Richard H Scheuermann   +6 more
doaj   +1 more source

Multiplexed snRNA-seq from frozen human brain samples v2

, 2023
This is a protocol to save your experiment and successfully demultiplex nuclei using CellPlex, the cholesterol-modified-oligo (CMO) barcodes from 10x Genomics on your nuclei from snap-frozen tissue. Generally speaking, nuclei from snap-frozen tissue perform really poorly with CMOs.
openaire   +1 more source

Single-cell and single-nucleus transcriptomics in ischemic stroke: cellular mechanisms and therapeutic implications

Frontiers in Neurology
Ischemic stroke remains a major cause of death and long-term disability and is defined by complex, dynamic pathophysiological processes involving diverse cell types and interconnected molecular networks.
Changqing Mu, Changqing Mu, Yuchuan Ding, Alexander Weiss, Sydni Rosenfeld, Fengwu Li, Xiaokun Geng, Xiaokun Geng   +7 more
doaj   +1 more source

Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics

Frontiers in Cellular Neuroscience, 2022
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, Lukas Valihrach, Zuzana Matusova, Zuzana Matusova, Daniel Zucha, Daniel Zucha, Ruslan Klassen, Ruslan Klassen, Sarka Benesova, Sarka Benesova, Pavel Abaffy, Mikael Kubista, Mikael Kubista, Miroslava Anderova   +13 more
doaj   +1 more source

Single-cell and single-nuclei RNA sequencing as powerful tools to decipher cellular heterogeneity and dysregulation in neurodegenerative diseases

Frontiers in Cell and Developmental Biology, 2022
Neurodegenerative diseases affect millions of people worldwide and there are currently no cures. Two types of common neurodegenerative diseases are Alzheimer’s (AD) and Parkinson’s disease (PD). Single-cell and single-nuclei RNA sequencing (scRNA-seq and
Raquel Cuevas-Diaz Duran, Juan Carlos González-Orozco, Iván Velasco, Iván Velasco, Jia Qian Wu, Jia Qian Wu, Jia Qian Wu   +6 more
doaj   +1 more source

sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues

iScience
Summary: Deconvolution algorithms mostly rely on single-cell RNA-sequencing (scRNA-seq) data applied onto bulk RNA-sequencing (bulk RNA-seq) to estimate tissues’ cell-type composition, with performance accuracy validated on deposited databases.
Gil Sorek, Yulia Haim, Vered Chalifa-Caspi, Or Lazarescu, Maya Ziv-Agam, Tobias Hagemann, Pamela Arielle Nono Nankam, Matthias Blüher, Idit F. Liberty, Oleg Dukhno, Ivan Kukeev, Esti Yeger-Lotem, Assaf Rudich, Liron Levin   +13 more
doaj   +1 more source

Dissecting the molecular landscape of Parkinson’s disease and Parkinson’s disease dementia using highly efficient snRNA-seq (HIF-snRNA-seq)

Abstract This study presents a transcriptomic analysis of the cingulate cortex (CING) in Parkinson’s disease (PD) and Parkinson’s disease dementia (PDD) using a High-efficiency single-nucleus RNA sequencing (HiF-snRNA-seq) protocol optimized for post-mortem brain samples.
Sung-Ung Kang, Jinhee Park, Shinwon Ha, Dongsan Kim, Olga Pletnikova, Javier Redding-Ochoa, Juan C. Troncoso, Quan Peng, Beth O. Van Emburgh, Jaldhir Trivedi, Saurav Brahmachari, Bardia Nezami, Valina L. Dawson, Ted M. Dawson   +13 more
openaire   +2 more sources

Xenograft snRNA-seq Integration and Normalization v1

This protocol describes the integration and normalization of single-nucleus RNA sequencing (snRNA-seq) data obtained from xenograft samples. The process involves loading data from multiple Cell Ranger outputs, creating Seurat objects, performing data integration, and normalizing the datasets.
Zac Chatterton, Chiara Pavan, Clare Parish   +2 more
openaire   +1 more source

Analytical Methods and Application of Single-Cell and Single-Nucleus Transcriptomics in the Study of Ischemic Stroke

Biomolecules
Background: Ischemic stroke remains a leading cause of mortality and long-term disability worldwide, with complex and heterogeneous pathophysiological processes.
Changqing Mu, Yuchuan Ding, Alexander Weiss, Sydni Rosenfeld, Fengwu Li, Xiaokun Geng   +5 more
doaj   +1 more source