Results 21 to 30 of about 258,562 (263)

Recent advances in deciphering hippocampus complexity using single-cell transcriptomics

Neurobiology of Disease, 2023
Single-cell and single-nucleus RNA sequencing (scRNA-seq and snRNA-seq) technologies have emerged as revolutionary and powerful tools, which have helped in achieving significant progress in biomedical research over the last decade.
Chenxu Chang, Hongyan Zuo, Yang Li
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Decoding DMD transcriptional networks using single‐nucleus RNA sequencing [PDF]

Proceedings of the National Academy of Sciences, 2020
Duchenne muscular dystrophy (DMD) is an X chromosome-linked disease, and it is the most common form of muscular dystrophy caused by genetic mutations in the Dmd gene (1). The Dmd gene contains 79 exons, spans 2.4 Mb, and is the single largest gene in the human genome (2).
Daniel J, Garry, Satyabrata, Das, Wuming, Gong   +2 more
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Comparative Analysis of Single-cell and Single-nucleus RNA-sequencing in a Rabbit Model of Retinal Detachment-related Proliferative Vitreoretinopathy

Ophthalmology Science, 2023
Purpose: Proliferative vitreoretinopathy (PVR) is the most common cause of failure of retinal reattachment surgery, and the molecular changes leading to this aberrant wound healing process are currently unknown.
Clayton P. Santiago, PhD, MS, Megan Y. Gimmen, BSc, Yuchen Lu, BSc, Minda M. McNally, MS, Leighton H. Duncan, MA, BSc, Tyler J. Creamer, PhD, Linda D. Orzolek, MS, Seth Blackshaw, PhD, Mandeep S. Singh, MD, PhD   +8 more
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Single‐nucleus RNA sequencing reveals RUNX1 regulation of muscle hypertrophy through PI3K/AKT/mTOR pathway [PDF]

iMeta
Chenxu Wang, Junjie Ma, Yibin Wang, Rui Liu, Chenxi Zhang, Qingyuan Li, Lixin Zhang, Qihang Hou, Xiaojun Yang   +8 more
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Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets

Genome Biology, 2023
Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human tissue is important for understanding disease pathologies. However, several experimental and computational challenges impede transcriptomics-based deconvolution ...
Sean K. Maden, Sang Ho Kwon, Louise A. Huuki-Myers, Leonardo Collado-Torres, Stephanie C. Hicks, Kristen R. Maynard   +5 more
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Optimized nucleus isolation protocol from frozen mouse tissues for single nucleus RNA sequencing application

Frontiers in Cell and Developmental Biology, 2023
The single cell RNA sequencing technique has been particularly used during the last years, allowing major discoveries. However, the widespread application of this analysis has showed limitations.
Marie-Albane Minati, Angeline Fages, Nicolas Dauguet, Nicolas Dauguet, Jingjing Zhu, Patrick Jacquemin   +5 more
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Use of scREAD to explore and analyze single-cell and single-nucleus RNA-seq data for Alzheimer’s disease

STAR Protocols, 2021
Summary: Single-cell RNA-sequencing (scRNA-seq) and single-nucleus RNA-sequencing (snRNA-seq) studies have provided remarkable insights into understanding the molecular pathogenesis of Alzheimer's disease.
Cankun Wang, Yujia Xiang, Hongjun Fu, Qin Ma   +3 more
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Assessing Markovian and Delay Models for Single-Nucleus RNA Sequencing

Bulletin of Mathematical Biology, 2023
The serial nature of reactions involved in the RNA life-cycle motivates the incorporation of delays in models of transcriptional dynamics. The models couple a transcriptional process to a fairly general set of delayed monomolecular reactions with no feedback.
Gorin, Gennady, Yoshida, Shawn, Pachter, Lior   +2 more
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Comparison of cell type distribution between single-cell and single-nucleus RNA sequencing: enrichment of adherent cell types in single-nucleus RNA sequencing

Experimental & Molecular Medicine, 2022
AbstractSingle-cell ribonucleic acid (RNA) sequencing (scRNA-seq) is an effective technique for estimating the cellular composition and transcriptional profiles of individual cells from fresh tissue. Single-nucleus RNA sequencing (snRNA-seq) is necessary to perform this type of analysis in frozen or difficult-to-dissociate tissues, which cannot be ...
Jin-Mi Oh, Minae An, Dae-Soon Son, Jinhyuk Choi, Yong Beom Cho, Chang Eun Yoo, Woong-Yang Park   +6 more
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Microglia Heterogeneity in Alzheimer’s Disease: Insights From Single-Cell Technologies

Frontiers in Synaptic Neuroscience, 2021
Microglia are resident immune cells in the central nervous system and play critical roles in brain immunity, development, and homeostasis. The pathology of Alzheimer’s disease (AD) triggers activation of microglia.
Hansen Wang
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