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Method: Gene duplication is associated with gene diversification and potential neofunctionalization in lung cancer evolution
- Paul Ashford,
- Alexander M. Frankell,
- Zofia Piszka,
- Camilla S.M. Pang,
- Mahnaz Abbasian,
- Maise Al Bakir,
- Mariam Jamal-Hanjani,
- Nicholas McGranahan,
- Charles Swanton,
- and Christine A. Orengo
Genome Res. March 2026 36: 561-577; Published in Advance February 19, 2026, doi:10.1101/gr.278663.123
...mutation cluster or hotspot (35% of cases; significance level of 5%). The majority of cases in which mutations were not clustered occurred in tumor-suppressor genes (TP53, PTEN, and VHL) (Supplemental Note 1; Supplemental Fig. 14), which acquire loss-of-function variants across a larger proportion of sites...
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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
...data (Pratapa et al. 2020). Initial methods primarily rely on correlation or mutual information to infer regulatory interactions. For instance, weighted gene coexpression network analysis (WGCNA) (Langfelder and Horvath 2008) clusters coexpressed genes into modules to construct gene associations...
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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 312 hubs which were specific to the cancer consensus network (Supplemental Table S11). Cancer-specific hub genes were enriched for pathways such as ncRNA metabolic processing (GO:0034660, P = 5.2 × 10−2) which is believed to play a role in metabolic reprogramming in cancer, DNA damage response (GO...
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Method: Tissular chromatin-state cartography based on double-barcoded DNA arrays that capture unloaded PA-Tn5 transposase
- Maria Grazia Mendoza-Ferri,
- Gwendoline Lozachmeur,
- Maximilien Duvina,
- Laetitia Perret,
- Didier Merciris,
- Anne Gigout,
- and Marco Antonio Mendoza-Parra
Genome Res. July 2025 35: 1633-1645; Published in Advance May 13, 2025, doi:10.1101/gr.280305.124
...) a modified version of double-barcoded DNA arrays for capturing cleaved chromatin with the CUT&Tag chemistry (Kaya-Okur et al. 2019); (2) a modified bioinformatics pipeline allowing us to demultiplex spatial read-counts retrieved around gene promoter regions and their visualization within our tool MULTILAYER...
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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
...at the same time points from two supine resting circadian controls. Nuclei were isolated and underwent same-cell single-nuclei multiome assay to assess gene expression and chromatin accessibility simultaneously. (B) Computational design. High-quality single-nuclei assay data were integrated and clustered...
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Method: Diffusion-based generation of gene regulatory networks from scRNA-seq data with DigNet
- Chuanyuan Wang and
- Zhi-Ping Liu
Genome Res. February 2025 35: 340-354; Published in Advance December 18, 2024, doi:10.1101/gr.279551.124
...decoupled from TF regulation, posing significant challenges to exploring the complex cellular landscape (Wagner et al. 2016).Inferring gene regulation from transcriptomic data stands as a significant challenge in computational biology, aiming to reveal the cellular dynamics inherently manipulated...
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Research: Hydroxycarbamide effects on DNA methylation and gene expression in myeloproliferative neoplasms
- Stephania Contreras Castillo,
- Bertille Montibus,
- Azucena Rocha,
- Will Duke,
- Ferdinand von Meyenn,
- Donal McLornan,
- Claire Harrison,
- Ann Mullally,
- Reiner Schulz,
- and Rebecca J. Oakey
Genome Res. August 2021 31: 1381-1394; Published in Advance July 9, 2021, doi:10.1101/gr.270066.120
...of the common DEGs between human and mouse as well as genes involved in epigenetic regulation, KDM5B, a H3K4 demethylase, and TET1, which is involved in DNA demethylation (Iwase et al. 2007; Guo et al. 2011).In mouse a subset of genes was partially restored back to WT expression levels by HC (Clusters 2 and 4...
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Resource: Multiscale network modeling reveals the gene regulatory landscape driving cancer prognosis in 32 cancer types
- Peng Xu and
- Bin Zhang
Genome Res. October 2023 33: 1806-1817; Published in Advance October 31, 2023, doi:10.1101/gr.278063.123
...by interactions between gene expression and methylation. Coregulated genes of network modules were enriched in chromosome cytobands and preferentially localized in open chromatin regions. The preserved network modules formed 330 module clusters that resided in chromosome hot spots. The cancer...
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Method: Debiased personalized gene coexpression networks for population-scale scRNA-seq data
- Shan Lu and
- Sunduz Keles
Genome Res. June 9, 2023 gr.277363.122; Published in Advance June 9, 2023, doi:10.1101/gr.277363.122
...and Horvath, 2005), which estimates gene-gene correlations, is a key inference tool for detecting latent relationships that might be obscured in standard analysis of clustering and differential expression. Studies examining protein-protein interactions on a -wide scale have shown that proteins with a high...
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Research: Diverse environmental perturbations reveal the evolution and context-dependency of genetic effects on gene expression levels
- Amanda J. Lea,
- Julie Peng,
- and Julien F. Ayroles
Genome Res. October 2022 32: 1826-1839; Published in Advance October 13, 2022, doi:10.1101/gr.276430.121
...sizes than the other eight cellular environments, and their clustering thus reflects differences in power. (D,E) Examples of ubiquitous and context-dependent eQTLs, identified using a mashR, a joint analysis approach. The y-axis shows the mean, normalized expression levels for a given gene estimated...
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