Results 1 to 10 of about 1,093 (205)

Pan‐Cancer Single‐Nucleus Total RNA Sequencing Using snHH‐Seq

Advanced Science, 2023
Tumor heterogeneity and its drivers impair tumor progression and cancer therapy. Single‐cell RNA sequencing is used to investigate the heterogeneity of tumor ecosystems. However, most methods of scRNA‐seq amplify the termini of polyadenylated transcripts,
Haide Chen, Xiunan Fang, Jikai Shao, Qi Zhang, Liwei Xu, Jiaye Chen, Yuqing Mei, Mengmeng Jiang, Yuting Wang, Zhouyang Li, Zihang Chen, Yang Chen, Chengxuan Yu, Lifeng Ma, Peijing Zhang, Tianyu Zhang, Yuan Liao, Yuexiao Lv, Xueyi Wang, Lei Yang, Yuting Fu, Daobao Chen, Liming Jiang, Feng Yan, Wei Lu, Gao Chen, Huahao Shen, Jingjing Wang, Changchun Wang, Tingbo Liang, Xiaoping Han, Yongcheng Wang, Guoji Guo   +32 more
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Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer [PDF]

Nature Communications, 2017
Single cell RNA sequencing is a powerful tool for understanding cellular diversity but is limited by cost, throughput and sample preparation. Here the authors use nanogrid technology with integrated imaging to sequence thousands of cancer nuclei in ...
Ruli Gao, Charissa Kim, Emi Sei, Theodoros Foukakis, Nicola Crosetto, Leong-Keat Chan, Maithreyan Srinivasan, Hong Zhang, Funda Meric-Bernstam, Nicholas Navin   +9 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 in pre-cellularization Drosophila melanogaster embryos. [PDF]

PLoS ONE, 2022
Our current understanding of the regulation of gene expression in the early Drosophila melanogaster embryo comes from observations of a few genes at a time, as with in situ hybridizations, or observation of gene expression levels without regards to ...
Ashley R Albright, Michael R Stadler, Michael B Eisen   +2 more
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Gene length is a pivotal feature to explain disparities in transcript capture between single transcriptome techniques

Frontiers in Bioinformatics, 2023
The scale and capability of single-cell and single-nucleus RNA-sequencing technologies are rapidly growing, enabling key discoveries and large-scale cell mapping operations.
Ricardo R. Pavan, Fabiola Diniz, Samir El-Dahr, Giovane G. Tortelote   +3 more
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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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A protocol for single nucleus RNA-seq from frozen skeletal muscle

Life Science Alliance, 2023
The authors detail a method to isolate nuclei for single nucleus RNA sequencing from frozen, biobanked human skeletal muscle samples. Single-cell technologies are a method of choice to obtain vast amounts of cell-specific transcriptional information ...
Tyler GB Soule, Carly S Pontifex, Nicole Rosin, Matthew M Joel, Sukyoung Lee, Minh Dang Nguyen, Sameer Chhibber, Gerald Pfeffer   +7 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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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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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
doaj   +1 more source