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Resource: Cell type–specific gene regulatory atlas prioritizes drug targets and repurposable medicines in Alzheimer's disease
- Yunxiao Ren,
- Ming Hu,
- Yang E. Li,
- Andrew A. Pieper,
- Jeffrey Cummings,
- and Feixiong Cheng
Genome Res. March 2026 36: 645-659; Published in Advance January 21, 2026, doi:10.1101/gr.280436.125
...TFs in regulating key genes associated with AD progression, linking transcriptional changes to genetic risk loci and highlighting potential mechanisms underlying disease pathology.View larger version: In this window In a new window Figure 5. Cell type–specific TF regulatory network. (A) TF regulatory...
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Method: Highly accurate reference and method selection for universal cross–data set cell type annotation with CAMUS
- Qunlun Shen,
- Shuqin Zhang,
- and Shihua Zhang
Genome Res. November 2025 35: 2527-2538; Published in Advance October 1, 2025, doi:10.1101/gr.280821.125
..., and disease progression (Jia et al. 2018; Longo et al. 2021; Srivatsan et al. 2021).One critical task in single-cell data analysis is cell type annotation (or cell typing) (Clarke et al. 2021; Brbić et al. 2022), allowing researchers to decipher cell heterogeneity and their functions within the tissue...
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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: Clustered and diverse transcription factor binding underlies cell type specificity of enhancers for housekeeping genes
- Iris Zhu and
- David Landsman
Genome Res. October 2023 33: 1662-1672; Published in Advance October 26, 2023, doi:10.1101/gr.278130.123
...tissues. Here we report that most of the commonly expressed mouse or human genes across different cell types, including more than half of the previously identified housekeeping genes, are associated with cell type–specific enhancers. Furthermore, the binding of most transcription factors (TFs) is cell...
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Method: A deconvolution framework that uses single-cell sequencing plus a small benchmark data set for accurate analysis of cell type ratios in complex tissue samples
- Shuai Guo,
- Xiaoqian Liu,
- Xuesen Cheng,
- Yujie Jiang,
- Shuangxi Ji,
- Qingnan Liang,
- Andrew Koval,
- Yumei Li,
- Leah A. Owen,
- Ivana K. Kim,
- Ana Aparicio,
- Sanghoon Lee,
- Anil K. Sood,
- Scott Kopetz,
- John Paul Shen,
- John N. Weinstein,
- Margaret M. DeAngelis,
- Rui Chen,
- and Wenyi Wang
Genome Res. January 2025 35: 147-161; Published in Advance November 25, 2024, doi:10.1101/gr.278822.123
..., including cancers, when a well-matched benchmark data set is available.Although recent advances in single-cell/nucleus RNA sequencing (sc/snRNA-seq) offer valuable insights into cell types and states in healthy (Haniffa et al. 2021) and diseased tissues (Gohil et al. 2021; Zeng et al. 2023), highly...
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Resource: Isoform- and pathway-specific regulation of post-transcriptional RNA processing in human cells
- Ishwarya Venkata Narayanan,
- Karan Bedi,
- Brian Magnuson,
- Ariel McShane,
- Mario Ashaka,
- Michelle Paulsen,
- Thomas E Wilson,
- and Mats Ljungman
Genome Res. March 26, 2026 gr.280892.125; Published in Advance March 26, 2026, doi:10.1101/gr.280892.125
...- and cell type-specific post-transcriptional regulation 275 of mitochondrial gene expression. 276 277 Unique RNA turnover dynamics for individual genes 278 We next compared the degradation dynamics of transcripts from individual genes 279 across the 16 cell lines. In Figure 3A, we plotted read coverages...
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Method: Infernape uncovers cell type–specific and spatially resolved alternative polyadenylation in the brain
- Bowei Kang,
- Yalan Yang,
- Kaining Hu,
- Xiangbin Ruan,
- Yi-Lin Liu,
- Pinky Lee,
- Jasper Lee,
- Jingshu Wang,
- and Xiaochang Zhang
Genome Res. October 2023 33: 1774-1787; Published in Advance October 31, 2023, doi:10.1101/gr.277864.123
...increasingly used to study transcription levels (Rodriques et al. 2019; Chen et al. 2022; Moses and Pachter 2022), but the spatial distributions of transcriptome-wide PA usages remain unexplored.Here we seek to uncover cell type–specific PAs in the mouse brain using scRNA-seq and spatial transcriptomic data...
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Method: Dynamic regulatory module networks for inference of cell type–specific transcriptional networks
- Alireza Fotuhi Siahpirani,
- Sara Knaack,
- Deborah Chasman,
- Morten Seirup,
- Rupa Sridharan,
- Ron Stewart,
- James Thomson,
- and Sushmita Roy
Genome Res. July 2022 32: 1367-1384; Published in Advance June 15, 2022, doi:10.1101/gr.276542.121
...-omic data sets.Transcriptional regulatory networks connect regulators such as transcription factors to target genes and specify the context-specific patterns of gene expression, where context can be different cell types, cell states, developmental stages, or time points. In developmental systems, changes...
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Research: Genome-wide nucleosome and transcription factor responses to genetic perturbations reveal chromatin-mediated mechanisms of transcriptional regulation
- Kevin Moyung,
- Yulong Li,
- Heather K. MacAlpine,
- Alexander J. Hartemink,
- and David M. MacAlpine
Genome Res. January 2026 36: 115-128; Published in Advance December 9, 2025, doi:10.1101/gr.279637.124
...these universal instructions into cell type–specific programs that are able to respond to developmental and environmental cues. In part, this regulation is mediated by epigenetic mechanisms, which alter the accessibility of the chromatin in conjunction with changes in transcription factor (TF) and nucleosome...
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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
...decreased variability (negative drift). Integration with single-cell RNA-seq data demonstrates that positive drift-CpGs are associated with increased transcriptional variability and upregulation in specific cell types, whereas negative drift-CpGs exhibit the opposite effect. We develop epigenetic drift...
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