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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
...of nine blood-related traits from the 42 independent traits (Crohn's disease, rheumatoid arthritis, ulcerative colitis, eosinophil count, platelet count, red blood cell count, red blood cell width, white blood cell count, and eczema) (Supplemental Table S16). As with the consensus networks, tissue-specific...
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Resource: Binding profiles for 961 Drosophila and C. elegans transcription factors reveal tissue-specific regulatory relationships
- Michelle Kudron,
- Louis Gevirtzman,
- Alec Victorsen,
- Bridget C. Lear,
- Jiahao Gao,
- Jinrui Xu,
- Swapna Samanta,
- Emily Frink,
- Adri Tran-Pearson,
- Chau Huynh,
- Dionne Vafeados,
- Ann Hammonds,
- William Fisher,
- Martha Wall,
- Greg Wesseling,
- Vanessa Hernandez,
- Zhichun Lin,
- Mary Kasparian,
- Kevin White,
- Ravi Allada,
- Mark Gerstein,
- LaDeana Hillier,
- Susan E. Celniker,
- Valerie Reinke,
- and Robert H. Waterston
Genome Res. December 2024 34: 2319-2334; Published in Advance October 22, 2024, doi:10.1101/gr.279037.124
...to decipher tissue-specific codes of gene regulation for individual and groups of TFs using available single-cell gene expression data in both species. Studying key conserved factors in worm and fly greatly will enhance analysis, interpretation, and the broader relevance of data gathered in ENCODE and other...
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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
..., were used for training.DNase-seq and ChIP-seq dataFor each cell type, DNase-seq and ChIP-seq files mapped to GRCh38, including DNase, H3K4me3, H3K27ac, and CTCF types, were downloaded from ENCODE. Multiple read-depth normalized signal files for DNase-seq and fold change over control files for Ch...
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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
.... By integrating transcription factor (TF)–target gene relationships, chromatin accessibility, and genetic variation, this framework aims to elucidate the cell type–specific regulatory mechanisms underlying AD progression, link genetic risk variants to cis-regulatory elements and target genes, and prioritize...
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Research: Global identification of mammalian host and nested gene pairs reveal tissue-specific transcriptional interplay
- Bertille Montibus,
- James A. Cain,
- Rocio T. Martinez-Nunez,
- and Rebecca J. Oakey
Genome Res. December 2024 34: 2163-2175; Published in Advance November 22, 2024, doi:10.1101/gr.279430.124
...that transcriptional co-occurrence is often tissue specific. This coexpression was especially prevalent within the transcriptionally permissive tissue, testis. We use this developmental system and scRNA-seq analysis to demonstrate that the coexpression of pairs can occur in single cells and transcription in the same...
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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
...’s effectiveness through three case studies on transcription factor activity prediction, 29 early haematopoiesis, and tumour microenvironments. Provided as an R package, NNet offers 30 a novel framework for exploring cellular variation in coexpression and integrates seamlessly 31 with existing single-cell analysis...
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Research: Phylogenetic modeling of enhancer shifts in African mole-rats reveals regulatory changes associated with tissue-specific traits
- Elise Parey,
- Diego Fernandez-Aroca,
- Stephanie Frost,
- Ainhoa Uribarren,
- Thomas J. Park,
- Markus Zöttl,
- Ewan St. John Smith,
- Camille Berthelot,
- and Diego Villar
Genome Res. September 2023 33: 1513-1526; Published in Advance August 25, 2023, doi:10.1101/gr.277715.123
...–E).Genes associated with cardiac muscle hypertrophy accumulate Up enhancers in both single-species branches: in the heart for the Damaraland mole-rat and in both the heart and liver for the naked mole-rat (Fig. 4B). Cardiomyocyte hypertrophy is a complex process mediated by signals arising from multiple cell types...
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Method: A high-throughput screening method for selecting feature SNPs to evaluate breed diversity and infer ancestry
- Meilin Zhang,
- Heng Du,
- Yu Zhang,
- Yue Zhuo,
- Zhen Liu,
- Yahui Xue,
- Lei Zhou,
- Sixuan Zhou,
- Wanying Li,
- and Jian-Feng Liu
Genome Res. August 2025 35: 1875-1886; Published in Advance July 15, 2025, doi:10.1101/gr.280176.124
...methods in estimating accuracy and computational stability. Furthermore, HITSNP offers a new algorithm to predict the number and composition of ancestral populations using a small number of SNPs, and avoiding calculating the number of clusters. Taken together, HITSNP facilitates the research of population...
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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
...for studying cell-wide impact of experimental conditions of interest rather than to validate, or identify, direct regulators of a GOI. However, as described above, databases collating RNA-seq data can be very useful in predicting potential regulators of a GOI as they allow levels of the GOI transcript...
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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
...and cell types. Our investigations revealed that the SNP rs323354626, located within the 3′ UTR of the CD47 gene, markedly impacts gene expression, underscoring the pivotal role of 3′ UTR variations in the regulatory mechanisms of genes. Additionally, this locus demonstrated significant associations...

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