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Resource: Multitissue single-nucleus RNA-seq reveals cell type–specific regulatory patterns of alternative polyadenylation in pigs
- Qiuhan Wen,
- Zhen Wang,
- Qi Bao,
- Tianli Ding,
- Haihan Zhang,
- Jianbo Li,
- Zhuang Liu,
- Jieping Huang,
- and Guoqiang Yi
Genome Res. September 2025 35: 2116-2129; Published in Advance June 16, 2025, doi:10.1101/gr.280095.124
...Multitissue single-nucleus RNA-seq reveals cell type–specific regulatory patterns of alternative polyadenylation in pigs Qiuhan Wen1,2, Zhen Wang1, Qi Bao1, Tianli Ding1, Haihan Zhang3, Jianbo Li4, Zhuang Liu5, Jieping Huang2 and Guoqiang Yi1,6,7 1Shenzhen Branch, Guangdong Laboratory of Lingnan...
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Resource: Single-nucleus multiomic profiling of the aging mouse substantia nigra reveals conserved gene alterations linked to Parkinson's disease
- Kangli Wang,
- Weikun Xia,
- Yingli Gu,
- Songpeng Zu,
- Qian Yang,
- Maria Luisa Amaral,
- Yaozhi Wang,
- Allen Wang,
- Xiang-Dong Fu,
- William C. Mobley,
- and Bing Ren
Genome Res. March 4, 2026 gr.281113.125; Published in Advance March 4, 2026, doi:10.1101/gr.281113.125
...conducted two biological replicates for each stage, 91 resulting in a total of eight samples for both single-nucleus ATAC-seq (snATAC-seq) and single-92 nucleus RNA-seq (snRNA-seq). 93 5 After sequencing, we performed rigorous quality control, filtering out low-quality cells based on 94 criteria...
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Method: Aggregation of recount3 RNA-seq data improves inference of consensus and tissue-specific gene coexpression networks
- Prashanthi Ravichandran,
- Princy Parsana,
- Rebecca Keener,
- Kasper D. Hansen,
- and Alexis Battle
Genome Res. September 2025 35: 2087-2103; Published in Advance July 17, 2025, doi:10.1101/gr.280808.125
...and AI Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: ajbattle@jhu.eduAbstractGene coexpression networks (GCNs) describe relationships among genes that maintain cellular identity and homeostasis. However, typical RNA-seq experiments often lack sufficient sample...
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Research: Differences in molecular sampling and data processing explain variation among single-cell and single-nucleus RNA-seq experiments
- John T. Chamberlin,
- Younghee Lee,
- Gabor T. Marth,
- and Aaron R. Quinlan
Genome Res. February 2024 34: 179-188; Published in Advance February 14, 2024, doi:10.1101/gr.278253.123
...-H, Streets A. 2022. Characterization of transcript enrichment and detection bias in single-nucleus RNA-seq for mapping of distinct human adipocyte lineages. Genome Res 32: 242–257. doi:10.1101/gr.275509.121 ↵Habib N, Avraham-Davidi I, Basu A, Burks T, Shekhar K, Hofree M, Choudhury SR, Aguet F, Gelfand E...
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Method: Tree-based differential testing using inferential uncertainty for RNA-seq
- Noor Pratap Singh,
- Euphy Y. Wu,
- Jason Fan,
- Michael I. Love,
- and Rob Patro
Genome Res. October 2025 35: 2326-2338; Published in Advance August 21, 2025, doi:10.1101/gr.279981.124
...estimates of certain transcripts which, if ignored, can lead to the exaggeration of false positives and, if included, may lead to reduced power. Here, we introduce a data-driven differential testing method that maximizes biological resolution while retaining statistical power. Given a set of RNA-seq samples...
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Resource: Single-nucleus transcriptomic mapping uncovers targets for traumatic brain injury
- Qiuyun Yang,
- Lingxuan Zhang,
- Manrui Li,
- Yang Xu,
- Xiaogang Chen,
- Ruixuan Yuan,
- Xiaofeng Ou,
- Min He,
- Miao Liao,
- Lin Zhang,
- Hao Dai,
- Meili Lv,
- Xiaoqi Xie,
- Weibo Liang,
- and Xiameng Chen
Genome Res. October 2023 33: 1818-1832; Published in Advance September 20, 2023, doi:10.1101/gr.277881.123
...: In this window In a new window Figure 1. Major cell types in adult SVZ and cell type–specific markers based on single-cell profiling. (A) Workflow of sample preparation, single-nucleus RNA-seq, and the downstream analysis. (B) Neurological severity score (NSS) of the control group and mTBI group. Three mice...
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Method: Evaluation of strategies for evidence-driven genome annotation using long-read RNA-seq
- Alejandro Paniagua,
- Cristina Agustín-García,
- Francisco J. Pardo-Palacios,
- Thomas Brown,
- Maite De Maria,
- Nancy D. Denslow,
- Camila J. Mazzoni,
- and Ana Conesa
Genome Res. April 2025 35: 1053-1064; Published in Advance December 23, 2024, doi:10.1101/gr.279864.124
...(Scalzitti et al. 2020). Recently, long-read RNA sequencing (lrRNA-seq) has started to be used for this purpose (Peng et al. 2022; Zhang et al. 2022). lrRNA-seq has the potential to capture full-length transcripts and reveal the complexity of the transcriptomes. However, lrRNA-seq data also contain...
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Method: Single-nucleus CUT&RUN elucidates the function of intrinsic and genomics-driven epigenetic heterogeneity in head and neck cancer progression
- Howard J. Womersley,
- Daniel Muliaditan,
- Ramanuj DasGupta,
- and Lih Feng Cheow
Genome Res. January 2025 35: 162-177; Published in Advance December 2, 2024, doi:10.1101/gr.279105.124
...Single-nucleus CUT&RUN elucidates the function of intrinsic and genomics-driven epigenetic heterogeneity in head and neck cancer progression Howard J. Womersley1,4, Daniel Muliaditan2,3,4, Ramanuj DasGupta3 and Lih Feng Cheow1,2 1Institute for Health Innovation and Technology, National University...
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Research: Characterization of transcript enrichment and detection bias in single-nucleus RNA-seq for mapping of distinct human adipocyte lineages
- Anushka Gupta,
- Farnaz Shamsi,
- Nicolas Altemose,
- Gabriel F. Dorlhiac,
- Aaron M. Cypess,
- Andrew P. White,
- Nir Yosef,
- Mary Elizabeth Patti,
- Yu-Hua Tseng,
- and Aaron Streets
Genome Res. February 2022 32: 242-257; Published in Advance January 18, 2022, doi:10.1101/gr.275509.121
...of intact single adipocytes is complicated by their fragile nature. For such tissues, single-nucleus extraction is often much more efficient and therefore single-nucleus RNA sequencing (snRNA-seq) presents an alternative to scRNA-seq. However, nuclear transcripts represent only a fraction...
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Method: A gene regulatory network–aware graph learning method for cell identity annotation in single-cell RNA-seq data
- Mengyuan Zhao,
- Jiawei Li,
- Xiaoyi Liu,
- Ke Ma,
- Jijun Tang,
- and Fei Guo
Genome Res. July 2024 34: 1036-1051; Published in Advance August 12, 2024, doi:10.1101/gr.278439.123
....In single-cell transcriptome sequencing, high-resolution quantification of gene expression profiles provides insights into cellular heterogeneity and the molecular underpinnings of tissue phenotype variations (Kalucka et al. 2020; Argelaguet et al. 2021). Analyzing cell type composition using scRNA-seq...

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