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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
...a comprehensive APA atlas for 261 cell types across 19 porcine tissues based on single-nucleus RNA sequencing (snRNA-seq) data. This analysis reveals tissue- and cell type–specific patterns of APA. We find that many genes display a clear correlation between the average length of 3′ untranslated regions (3′ UTRs...
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Method: Recalibrating differential gene expression by genetic dosage variance prioritizes functionally relevant genes
- Philipp Rentzsch,
- Aaron Kollotzek,
- Kaushik Ram Ganapathy,
- Pejman Mohammadi,
- and Tuuli Lappalainen
Genome Res. October 2025 35: 2316-2325; Published in Advance September 17, 2025, doi:10.1101/gr.280360.124
...that this approach will simplify the identification of disease-causing molecular processes and enhance the discovery of therapeutic targets.Since the advent of cDNA microarrays (Schena et al. 1995), differential gene expression profiling has been used to examine the characteristic gene regulatory changes...
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Method: Integration of transcriptomics and long-read genomics prioritizes structural variants in rare disease
- Tanner D. Jensen,
- Bohan Ni,
- Chloe M. Reuter,
- John E. Gorzynski,
- Sarah Fazal,
- Devon Bonner,
- Rachel A. Ungar,
- Pagé C. Goddard,
- Archana Raja,
- Euan A. Ashley,
- Jonathan A. Bernstein,
- Stephan Zuchner,
- Undiagnosed Diseases Network,
- Michael D. Greicius,
- Stephen B. Montgomery,
- Michael C. Schatz,
- Matthew T. Wheeler,
- and Alexis Battle
Genome Res. April 2025 35: 914-928; Published in Advance March 20, 2025, doi:10.1101/gr.279323.124
...causal for a rare neurodevelopmental disorder. Our observations demonstrate the promise of integrating long-read sequencing with gene expression toward improving the prioritization of functional SVs and TREs in rare disease patients.Long-read sequencing technology has improved in recent years in terms...
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Method: Recovering gene regulatory networks in single-cell multi-omics data with PRISM-GRN
- Wenhao Zhang,
- Lan Cao,
- Xiaoxuan Gu,
- Yongyu Long,
- and Ying Wang
Genome Res. January 2026 36: 142-158; Published in Advance October 9, 2025, doi:10.1101/gr.280757.125
.... Nevertheless, although these methods successfully utilize prior data and infer cell type–specific GRNs, they tend to overlook chromatin-level regulatory mechanisms, such as chromatin accessibility (Kim et al. 2023).Chromatin accessibility highlights potential TF binding sites for target genes (Isbel et al...
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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. April 2026 36: 849-864; Published in Advance March 4, 2026, doi:10.1101/gr.281113.125
...are downregulated at early aging stages in oligodendrocyte. Our multiomic atlas underscores the substantial regulatory network changes during aging that may predispose to PD, providing valuable insights for furthering understanding of PD pathogenesis and potential therapeutic targets.Parkinson's disease (PD...
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Research: Oxygen-induced stress reveals context-specific gene regulatory effects in human brain organoids
- Benjamin D. Umans and
- Yoav Gilad
Genome Res. August 2025 35: 1689-1700; Published in Advance June 2, 2025, doi:10.1101/gr.280219.124
...between genetic variants and environmental stressors is key to understanding the mechanisms underlying neurological diseases. In this study, we use human brain organoids to explore how varying oxygen levels expose context-dependent gene regulatory effects. By subjecting a genetically diverse panel of 21...
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Method: A scalable computational framework for predicting gene expression from candidate cis-regulatory elements
- Qinhu Zhang,
- Siguo Wang,
- Zhipeng Li,
- Wenzheng Bao,
- Wenjian Liu,
- and De-Shuang Huang
Genome Res. February 2026 36: 361-374; Published in Advance January 16, 2026, doi:10.1101/gr.281219.125
...PGE accurately discovers some crucial TF motifs within prioritized cCREs and reveals the different regulatory types of these cCREs.Cell type–specific gene expression patterns are primarily determined through complex interactions between cis-regulatory elements (CREs) and transcriptional factors, playing...
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Research: A gene regulatory element modulates myosin expression and controls cardiomyocyte response to stress
- Taylor Anglen,
- Irene M. Kaplow,
- Baekgyu Choi,
- Enya Dewars,
- Robin M. Perelli,
- Kevin T. Hagy,
- Duc Tran,
- Megan E. Ramaker,
- Svati H. Shah,
- Inkyung Jung,
- Andrew P. Landstrom,
- Ravi Karra,
- Yarui Diao,
- and Charles A. Gersbach
Genome Res. November 2025 35: 2418-2432; Published in Advance October 22, 2025, doi:10.1101/gr.280825.125
...as enhancers: CREs distal to transcription start sites (TSSs) that regulate the cell type specificity of gene expression. However, few cCREs have been evaluated for their endogenous function, their target gene, or their roles in conditions of stress (May et al. 2012).Many key developmental factors...
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Method: Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet
- Yidi Deng,
- Jiadong Mao,
- Jarny Choi,
- and Kim-Anh Lê Cao
Genome Res. April 2026 36: 785-801; Published in Advance March 5, 2026, doi:10.1101/gr.281171.125
...with ETAS generated directly from target gene expression. We then evaluated which scores better preserved cell-type clustering and better highlighted known cell-type-specific TFs. This comparison serves as a validation step, showing that NNet’s coexpression measure provides sufficient biological signal...
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Resource: Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise
- Aliza B. Rubenstein,
- Gregory R. Smith,
- Zidong Zhang,
- Xi Chen,
- Toby L. Chambers,
- Frederique Ruf-Zamojski,
- Natalia Mendelev,
- Wan Sze Cheng,
- Michel Zamojski,
- Mary Anne S. Amper,
- Venugopalan D. Nair,
- Andrew R. Marderstein,
- Stephen B. Montgomery,
- Olga G. Troyanskaya,
- Elena Zaslavsky,
- Todd Trappe,
- Scott Trappe,
- and Stuart C. Sealfon
Genome Res. July 2025 35: 1664-1677; Published in Advance May 20, 2025, doi:10.1101/gr.280051.124
...the cell-type-specific gene control circuitry mediating the transcriptional response to exercise at sc resolution (Fig. 4A). Exercise-regulated circuits were identified for each cell type with concordant changes in estimated TF activity, target gene expression, and chromatin accessibility of regulatory...

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