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Research: Epigenetic and evolutionary features of ape subterminal heterochromatin
- DongAhn Yoo,
- Katherine M. Munson,
- and Evan E. Eichler
Genome Res. January 2026 36: 38-49; Published in Advance October 22, 2025, doi:10.1101/gr.280987.125
...and the evolution of new genesFinally, we examined the euchromatin boundaries and putative evolutionary consequences and epigenetic features of the subterminal caps (Fig. 6). Specifically, we compared ape species with (gorilla/chimpanzee) and without (Bornean and Sumatran orangutans) subterminal caps to determine...
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Resource: A systems view on DNA damage response kinetics in Tetrahymena
- Emily Nischwitz,
- Vivien A.C. Schoonenberg,
- Rachel Mullner,
- Albert Fradera-Sola,
- Susanne Zimbelmann,
- Joshua J. Smith,
- and Falk Butter
Genome Res. January 28, 2026 ; Published in Advance January 28, 2026, doi:10.1101/gr.281000.125
...radiation, HU: hydroxyurea. DNA damage response kinetics Genome Research 3 www..org treatments that are progressively downregulated as repair progresses. Conversely, clusters T8, T10, T12, T13, and T14 show the most pronounceddifferential regulationCPT-treated cells, underscoring a treatment...
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Method: Complete genetic and epigenetic architecture of D4Z4 macrosatellites in FSHD, BAMS, and reference cohorts with D4Z4End2End
- Lucinda C. Xiao,
- Ayush Semwal,
- Brianna St John,
- Kathleen Zeglinski,
- Shian Su,
- James Lancaster,
- Shifeng Xue,
- Bruno Reversade,
- Matthew E. Ritchie,
- Frédérique Magdinier,
- Marnie E. Blewitt,
- and Quentin Gouil
Genome Res. March 23, 2026 ; Published in Advance March 23, 2026, doi:10.1101/gr.280907.125
...A and B alleles (Supplemental Table S4). Additionally, we complemented this with guide RNAs designed to target a panel of FSHD2Xiao et al. 4 Genome Research www..org associated genes (SMCHD1, DNMT3B, and LRIF1) (Supplemental Table S4), with a view to developing an all-in-one genetic and epigenetic...
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Method: Autoencoders for genomic variation analysis
- Margarita Geleta,
- Daniel Mas Montserrat,
- Xavier Giro-i-Nieto,
- and Alexander G. Ioannidis
Genome Res. February 2026 36: 348-360; Published in Advance January 20, 2026, doi:10.1101/gr.280086.124
...compression has been shown in DeepDNA (Wang et al. 2018), trained specifically on mitochondrial DNA data, using a convolutional layer to capture local features which are then combined and fed into a recurrent layer to output the probabilities for each symbol. On the other hand, autoencoders present...
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Method: Predicted protein 3D structures provide essential insights into the genetic architecture underlying phenotypic diversity in maize
- Shuai Wang,
- Merritt Khaipho-Burch,
- Lynn C. Johnson,
- Zachary R. Miller,
- Peter J. Bradbury,
- Doug Speed,
- William J. Allen,
- M. Cinta Romay,
- Jiquan Xue,
- Edward S. Buckler,
- Guillaume P. Ramstein,
- and Baoxing Song
Genome Res. January 2026 36: 214-225; Published in Advance October 31, 2025, doi:10.1101/gr.280514.125
...-one-family-out repeats, and error bars indicate their standard errors.DiscussionAlthough functional features have been incorporated into association testing or genomic prediction, leading to significant improvements (Ramstein and Buckler 2022; Chen et al. 2024), the use of protein 3D structure for PWAS and PWP remains...
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Research: Genomic regulatory landscape underlying the antiviral response of Atlantic salmon
- Shahmir Naseer,
- Thomas C Clark,
- Bertrand Collet,
- Pooran Dewari,
- Damir Baranasic,
- Daniel J Macqueen,
- Pierre Boudinot,
- and Samuel A.M. Martin
Genome Res. October 22, 2025 gr.280579.125; Published in Advance October 22, 2025, doi:10.1101/gr.280579.125
...for downstream TFBS analysis, allowing the 142 identification of key regulatory motifs involved in the antiviral response. 143 To further characterise the genomic distribution of ATAC-seq and H3K27ac peaks, we 144 annotated consensus peaks relative to gene features and transcription start sites (TSS). The 145...
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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
...-related increase (D) or decrease (E) in methylation variance. (F,G) Genomic enrichment of positive and negative drift-CpGs (F: CpG island-related; G: gene-related features). (H,I) Genomic enrichment of drift- and clock-CpGs (H: CpG island-related; I: gene-related features). (J) Scatter plot of initial (young...
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Method: Automated interpretable artificial intelligence genomic prediction with AIGP
- Lei Wei,
- Ziqin Jiang,
- Baoliang Fan,
- Yidan Yan,
- Zhenqiang Xu,
- Xiaoxiang Hu,
- and Yuzhe Wang
Genome Res. March 5, 2026 gr.281006.125; Published in Advance March 5, 2026, doi:10.1101/gr.281006.125
...by refining biological feature engineering and 31 optimizing the hyperparameters. We demonstrate how gene-related biometrics influence target 32 traits and how accounting for interaction effects enhances prediction accuracy. In addition, we 33 apply Shapley Additive Explanations (SHAP) to quantify the SNP...
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Method: TFcomb identifies transcription factor combinations for cellular reprogramming based on single-cell multiomics data
- Chen Li,
- Sijie Chen,
- Yixin Chen,
- Haiyang Bian,
- Minsheng Hao,
- Lei Wei,
- and Xuegong Zhang
Genome Res. June 2025 35: 1429-1439; Published in Advance April 10, 2025, doi:10.1101/gr.279955.124
...of finding reprogramming TFs and their combinations as an inverse problem, and used Tikhonov regularization to guarantee the generalization ability of solutions. For the coefficient matrix of the model, we designed a graph attention network to augment gene regulatory networks built with single-cell RNA...
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Review: A systematic guide for identifying transcription factors that directly regulate the expression of a gene of interest
- Andrew D. Bates,
- Dawid Grzela,
- Maciej Studzian,
- Louise Brennan,
- Moli Williams,
- Conor Fawcett,
- Beth Hammond,
- Manreen Grewal,
- Marcin Ratajewski,
- Lukasz Pulaski,
- and Urszula L. McClurg
Genome Res. March 2026 36: 433-459; Published in Advance February 17, 2026, doi:10.1101/gr.281154.125
...regions in model organisms that combine data and predictions: The best-known (and available via many integrator tools) is ReMap (Hammal et al. 2022), but an interesting alternative is CistromeDB (Zheng et al. 2019). There are also time-honored genomic resources for specific model organisms...
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