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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
...1 Title 1 Single-nucleus multiomic profiling of the aging mouse substantia nigra reveals 2 conserved gene alterations linked to Parkinson’s disease 3 Running title: Substantia nigra aging linked to Parkinson 4 Kangli Wang1, Weikun Xia1, Yingli Gu1, Songpeng Zu1, Qian Yang2, Maria Luisa Amaral1...
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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
...brain impairment (Fig. 1B; Huynh et al. 2020). To elucidate the specific gene expression features of each cell type in the SVZ niche under CCI insult, we profiled single-nucleus sequencing of matched SVZs from three mTBI mice and three sham-operated controls (Fig. 1C). Specifically, the lateral...
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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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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
...approach for transcriptomic profiling of cellular heterogeneity within adipose tissue (Rajbhandari et al. 2019; Sun et al. 2020; Sárvári et al. 2021). However, a single nucleus contains 10- to 100-fold less mRNA than whole cells, raising the question of whether the composition of mRNA transcripts...
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Research: Loss of multilevel 3D genome organization during breast cancer progression
- Roberto Rossini,
- Saleh Oshaghi,
- Maxim Nekrasov,
- Aurélie Bellanger,
- Renae Domaschenz,
- Yasmin Dijkwel,
- Mohamed Abdelhalim,
- Rahul Agrawal,
- Marit Ledsaak,
- Philippe Collas,
- Ragnhild Eskeland,
- David Tremethick,
- and Jonas Paulsen
Genome Res. January 2026 36: 20-37; Published in Advance October 9, 2025, doi:10.1101/gr.280791.125
.... All subsequent steps were carried out according to the Arima protocol. Resulting libraries were amplified with five PCR cycles and sequenced on an Illumina NovaSeq 6000 instrument in paired-end run with 2 × 101 bp.RNA-seqAll mRNA-seq experiments were performed in triplicate. Total RNA was isolated...
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Research: Epigenetic drift score captures directional methylation variability and links aging to transcriptional, metabolic, and genetic alterations
- Xiu Fan,
- Qili Qian,
- Wenran Li,
- Tianzi Liu,
- Changqing Zeng,
- Peilin Jia,
- Huandong Lin,
- Xin Gao,
- Li Jin,
- Mingfeng Xia,
- Sijia Wang,
- and Fan Liu
Genome Res. October 2025 35: 2173-2188; Published in Advance August 1, 2025, doi:10.1101/gr.280155.124
...magnitude, including heritable loci (e.g., ASTN2, SOCS5). Collectively, these findings establish epigenetic drift as a pervasive, directional, and biologically meaningful feature of human aging.Epigenetic drift refers to the progressive, stochastic accumulation of molecular alterations across the epi during...
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Method: Quantifying pathological progression from single-cell transcriptomic data with scPSS
- Samin Rahman Khan,
- M Saifur Rahman,
- M. Sohel Rahman,
- and Md Abul Hassan Samee
Genome Res. February 2026 36: 375-386; Published in Advance January 14, 2026, doi:10.1101/gr.280411.125
...between the different data sets. scPSS is run separately on each major cell type cluster so that the top principal components capture pathological variation rather than dominant cell type differences. This requires a cluster-to-cluster correspondence between the query and reference data sets. When cluster...
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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
...for Genetic Discovery, University of Utah, Salt Lake City, Utah 84112, USA Corresponding author: aaronquinlan@gmail.comAbstractA mechanistic understanding of the biological and technical factors that impact transcript measurements is essential to designing and analyzing single-cell and single-nucleus RNA...
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Research: Large-scale investigation of species-specific orphan genes in the human gut microbiome elucidates their evolutionary origins
- Nikolaos Vakirlis and
- Anne Kupczok
Genome Res. June 2024 34: 888-903; Published in Advance July 8, 2024, doi:10.1101/gr.278977.124
...). In that study, 286,997 s were clustered into 4644 species based on 95% identity over at least 30% of their length. Additionally, the Unified Human Gastrointestinal Protein (UHGP) catalog was clustered into homologous families at different sequence similarity cut-offs. We used the most loosely defined protein...
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Method: Inferring disease progression stages in single-cell transcriptomics using a weakly supervised deep learning approach
- Fabien Wehbe,
- Levi Adams,
- Jordan Babadoudou,
- Samantha Yuen,
- Yoon-Seong Kim,
- and Yoshiaki Tanaka
Genome Res. January 2025 35: 135-146; Published in Advance December 2, 2024, doi:10.1101/gr.278812.123
...to specific class (e.g., healthy donor), we recommend under- and oversampling the skewed class before running reef_analysis.py (Supplemental Note).Classification of diseased cells: classifier_analysis.py and tensor_analysis.pyThe classifier model is a multilayered artificial neural network that can capture...
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