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

Summary: Single cell sequencing technologies have revolutionized our understanding of biology by mapping cell diversity and gene expression in healthy and diseased tissues. While single-cell RNA sequencing (scRNA-seq) has been widely used, interest in single-nucleus RNA sequencing (snRNA-seq) is gro...

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Main Authors: Briana Santo, Emily E. Fink, Alexandra E. Krylova, Yi-Chia Lin, Mohamed Eltemamy, Alvin Wee, Oliver Wessely, Byron H. Lee, Angela H. Ting
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:iScience
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Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224028554
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author Briana Santo
Emily E. Fink
Alexandra E. Krylova
Yi-Chia Lin
Mohamed Eltemamy
Alvin Wee
Oliver Wessely
Byron H. Lee
Angela H. Ting
author_facet Briana Santo
Emily E. Fink
Alexandra E. Krylova
Yi-Chia Lin
Mohamed Eltemamy
Alvin Wee
Oliver Wessely
Byron H. Lee
Angela H. Ting
author_sort Briana Santo
collection DOAJ
description Summary: Single cell sequencing technologies have revolutionized our understanding of biology by mapping cell diversity and gene expression in healthy and diseased tissues. While single-cell RNA sequencing (scRNA-seq) has been widely used, interest in single-nucleus RNA sequencing (snRNA-seq) is growing due to its benefits, including the ability to analyze archival tissues and capture rare cell types that are challenging to dissociate. However, comparative studies across tissues have yielded mixed results, with some reporting enhanced cell type retention using snRNA-seq while others finding cell type identification to be challenging in snRNA-seq data. The GUDMAP consortium aims to construct a molecular atlas of the lower urinary tract (LUT); thus, we set out to determine the strengths and limitations of each approach in characterizing LUT cell types. Using the human bladder, we determined that scRNA-seq offered more discriminative gene sets for identification while snRNA-seq could facilitate capture of previously underrepresented cell types.
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spelling doaj-art-ce17c1dcad564489962db9d469070fcf2025-01-04T04:56:48ZengElsevieriScience2589-00422025-01-01281111628Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seqBriana Santo0Emily E. Fink1Alexandra E. Krylova2Yi-Chia Lin3Mohamed Eltemamy4Alvin Wee5Oliver Wessely6Byron H. Lee7Angela H. Ting8Epigenetics & Molecular Carcinogenesis, M.D. Anderson Cancer Center, Houston, TX 77054, USAGenomic Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Charles River Laboratories, Garfield Heights, OH 44128, USAEpigenetics & Molecular Carcinogenesis, M.D. Anderson Cancer Center, Houston, TX 77054, USADepartment of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH 44195, USADepartment of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH 44195, USADepartment of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH 44195, USADepartment of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USADepartment of Urology, M.D. Anderson Cancer Center, Houston, TX 77054, USAEpigenetics & Molecular Carcinogenesis, M.D. Anderson Cancer Center, Houston, TX 77054, USA; Corresponding authorSummary: Single cell sequencing technologies have revolutionized our understanding of biology by mapping cell diversity and gene expression in healthy and diseased tissues. While single-cell RNA sequencing (scRNA-seq) has been widely used, interest in single-nucleus RNA sequencing (snRNA-seq) is growing due to its benefits, including the ability to analyze archival tissues and capture rare cell types that are challenging to dissociate. However, comparative studies across tissues have yielded mixed results, with some reporting enhanced cell type retention using snRNA-seq while others finding cell type identification to be challenging in snRNA-seq data. The GUDMAP consortium aims to construct a molecular atlas of the lower urinary tract (LUT); thus, we set out to determine the strengths and limitations of each approach in characterizing LUT cell types. Using the human bladder, we determined that scRNA-seq offered more discriminative gene sets for identification while snRNA-seq could facilitate capture of previously underrepresented cell types.http://www.sciencedirect.com/science/article/pii/S2589004224028554Biological sciencesCell biologyTranscriptomics
spellingShingle Briana Santo
Emily E. Fink
Alexandra E. Krylova
Yi-Chia Lin
Mohamed Eltemamy
Alvin Wee
Oliver Wessely
Byron H. Lee
Angela H. Ting
Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq
iScience
Biological sciences
Cell biology
Transcriptomics
title Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq
title_full Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq
title_fullStr Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq
title_full_unstemmed Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq
title_short Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq
title_sort exploring the utility of snrna seq in profiling human bladder tissue a comprehensive comparison with scrna seq
topic Biological sciences
Cell biology
Transcriptomics
url http://www.sciencedirect.com/science/article/pii/S2589004224028554
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