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Research: Mapping multitissue regulatory variants reveals a liver-centric coexpression network associated with duck egg-laying performance
- Yang Xi,
- Jingjing Qi,
- Zhao Yang,
- Yutian Zeng,
- Huicong Zhang,
- Qiuyu Tao,
- Mengru Xu,
- Anqi Huang,
- Shenqiang Hu,
- Chunchun Han,
- Lili Bai,
- Jiwei Hu,
- Jiwen Wang,
- Liang Li,
- Lingzhao Fang,
- and Hehe Liu
Genome Res. October 2025 35: 2211-2225; Published in Advance September 10, 2025, doi:10.1101/gr.280345.124
...-tissue coordination, we performed gene-level correlation analysis between these two modules and extracted the top 300 most significantly associated gene pairs. Network visualization revealed that several genes expressed in the shell gland, including TOP2A, HMMR, and HASPIN, showed correlations with multiple genes...
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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 Le Cao
Genome Res. March 5, 2026 gr.281171.125; Published in Advance March 5, 2026, doi:10.1101/gr.281171.125
...demonstrate that NNet resolves cellular variation at the level 235 of cell-specific coexpression (Figure 3A1). We propose an efficient matrix factorisation technique to 236 summarise and interpret large-scale coexpression data as meta-networks and meta-genes, revealing 237 overarching coexpression patterns...
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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 AI Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: ajbattle@jhu.eduAbstractGene coexpression networks (GCNs) describe relationships among genes that maintain cellular identity and homeostasis. However, typical RNA-seq experiments often lack sufficient sample...
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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
..., and interpretable exploration of causal GRNs with prior knowledge and multi-omics data.Gene regulatory networks (GRNs), which encapsulate the complex interactions among transcription factors (TFs), target genes, and various regulatory elements, constitute the core machinery of gene regulation (Levine and Davidson...
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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
...provide an opportunity to further explore the regulatory networks and identify putative 266 12 enhancers and potential transcription factors involved in these pathways. We identified 80 267 putative enhancers related to these genes, and motif enrichment analysis revealed that 268 transcription factors...
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Method: Bayesian inference of sample-specific coexpression networks
- Enakshi Saha,
- Viola Fanfani,
- Panagiotis Mandros,
- Marouen Ben Guebila,
- Jonas Fischer,
- Katherine H. Shutta,
- Dawn L. DeMeo,
- Camila M. Lopes-Ramos,
- and John Quackenbush
Genome Res. September 2024 34: 1397-1410; Published in Advance August 12, 2024, doi:10.1101/gr.279117.124
...equally to this work. Corresponding author: johnq@hsph.harvard.eduAbstractGene regulatory networks (GRNs) are effective tools for inferring complex interactions between molecules that regulate biological processes and hence can provide insights into drivers of biological systems. Inferring coexpression...
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Research: Developmental transcriptomics in Pristionchus reveals the environmental responsiveness of a plasticity gene-regulatory network
- Shelley Reich,
- Tobias Loschko,
- Julie Jung,
- Samantha Nestel,
- Ralf J. Sommer,
- and Michael S. Werner
Genome Res. July 2025 35: 1560-1573; Published in Advance June 9, 2025, doi:10.1101/gr.279783.124
...expectations for when differential gene expression should matter. Here, we collated existing data into a gene-regulatory network (GRN) and performed developmental transcriptomics across different environmental conditions, genetic backgrounds, and mutants to assess the regulatory logic of mouth-form plasticity...
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Research: Multi-species analysis of inflammatory response elements reveals ancient and lineage-specific contributions of transposable elements to NF-kB binding
- Liangxi Wang,
- Tiegh Taylor,
- Kumaragurubaran Rathnakumar,
- Nadiya Khyzha,
- Minggao Liang,
- Azad Alizada,
- Laura F. Campitelli,
- Sara E. Pour,
- Zain M. Patel,
- Lina Antounians,
- Ian C. Tobias,
- Huayun Hou,
- Timothy R. Hughes,
- Sushmita Roy,
- Jennifer A. Mitchell,
- Jason E. Fish,
- and Michael D. Wilson
Genome Res. July 2025 35: 1544-1559; Published in Advance June 6, 2025, doi:10.1101/gr.280357.124
...and inflammation. The extent to which TEs have contributed to NF-kB responses during mammalian evolution is not well established. Here, we perform a multi-species analysis of TEs bound by the NF-kB subunit RELA in response to the proinflammatory cytokine TNF. By comparing RELA ChIP-seq data from TNF...
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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
...compared with other cell types (Fig. 5D). Enrichment analysis of fast-fiber PPARD circuit genes revealed that metabolic pathways such as glucose homeostasis and lipid catabolic process were upregulated in the PPARD network (Fig. 5C), which is consistent with previous reports of PPARD's function in muscle...
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Research: Vertebrates show coordinated elevated expression of mitochondrial and nuclear genes after birth
- Hadar Medini and
- Dan Mishmar
Genome Res. March 2025 35: 459-474; Published in Advance March 4, 2025, doi:10.1101/gr.279700.124
...of genes with available expression information (in each available data set, separately). This analysis revealed that the heart displayed high coordination level in all organisms analyzed (average 0.8, SD 0.08) (Table 2; Fig. 3B; Supplemental Table S1). Moreover, the organisms that displayed change in mt...

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