Searching journal content for articles similar to Kolle et al. 21 (12): 2014.

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  1. Research: Landscape of microRNA and target expression variation and covariation in single mouse embryonic stem cells
    • Marcel Tarbier,
    • Sebastian D. Mackowiak,
    • Vaishnovi Sekar,
    • Franziska Bonath,
    • Etka Yapar,
    • Bastian Fromm,
    • Omid R. Faridani,
    • Inna Biryukova,
    • and Marc R. Friedländer
    Genome Res. February 2026 36: 291-302; Published in Advance January 12, 2026, doi:10.1101/gr.279914.124
    ...target expression variation and covariation, but these observations have been limited to a few microRNAs. Here we systematically study microRNA alternative functions in mouse embryonic stem cells (mESCs) by genetically deleting Drosha, leading to global loss of microRNAs. We apply complementary single...
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  2. Method: Multicondition and multimodal temporal profile inference during mouse embryonic development
    • Ran Zhang,
    • Chengxiang Qiu,
    • Galina N. Filippova,
    • Gang Li,
    • Jay Shendure,
    • Jean-Philippe Vert,
    • Xinxian Deng,
    • William Stafford Noble,
    • and Christine M. Disteche
    Genome Res. October 2025 35: 2339-2351; Published in Advance August 14, 2025, doi:10.1101/gr.279997.124
    ...and multimodal profiles across time, and extrapolate single-cell profiles in a missing modality. We apply Sunbear to reveal sex-biased transcription during mouse embryonic development and predict dynamic relationships between epigenetic priming and transcription for cells in which multimodal profiles...
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  3. 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
    ...to comprehensively map GRNs (Badia-i-Mompel et al. 2023). High-throughput RNA sequencing (RNA-seq), which enables -wide analysis of the cellular transcriptome on bulk cells (Ozsolak and Milos 2011), has revolutionized GRN inference by enabling the computational derivation of regulatory networks from gene expression...
  4. 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
    ...Gene networks provide a fundamental framework for understanding the molecular mechanisms 13 that govern gene expression. Advances in single-cell RNA sequencing (scRNA-seq) have enabled 14 network inference at cellular resolution; however, most existing approaches rely on predefined 15 clusters or cell...
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  5. Research: Cell-type- and chromosome-specific chromatin landscapes and DNA replication programs of Drosophila testis tumor stem cell–like cells
    • Jennifer A. Urban,
    • Daniel Ringwalt,
    • John M. Urban,
    • Wingel Xue,
    • Ryan Gleason,
    • Keji Zhao,
    • and Xin Chen
    Genome Res. January 2026 36: 83-101; Published in Advance December 10, 2025, doi:10.1101/gr.280809.125
    ...to analyze the transcriptome, histone modification patterns, and replication timing of germline stem cell (GSC)–like and somatic cyst stem cell (CySC)–like cells. Single-cell RNA sequencing validates previous findings on GSC–CySC intercellular communication and reveals a high expression of chromatin...
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  6. 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
    ..., we obtained 27 contexts including seven tissue contexts that were not present in GTEx: airway, eye, human embryonic stem cells, induced pluripotent stem cells, multipotent cells, myeloid cells, and PBMCs/T cells (Fig. 1E). The number of samples present in each tissue context following outlier...
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  7. Method: Analysis of coding gene expression from small RNA sequencing
    • Aygun Azadova,
    • Anthonia Ekperuoh,
    • Greg N. Brooke,
    • and Antonio Marco
    Genome Res. March 2026 36: 611-618; Published in Advance February 10, 2026, doi:10.1101/gr.281364.125
    ...of microRNA expression analyses is reflected by the existence of thousands of sRNA-seq studies in which matched total RNA-seq data are often unavailable. The lack of paired sequencing experiments limits the analysis of microRNA–gene regulatory networks. Here, we explore whether protein-coding gene...
  8. Research: H3K36 dimethylation shapes the epigenetic interaction landscape by directing repressive chromatin modifications in embryonic stem cells
    • Haifen Chen,
    • Bo Hu,
    • Cynthia Horth,
    • Eric Bareke,
    • Phillip Rosenbaum,
    • Sin Young Kwon,
    • Jacinthe Sirois,
    • Daniel N. Weinberg,
    • Faith M. Robison,
    • Benjamin A. Garcia,
    • Chao Lu,
    • William A. Pastor,
    • and Jacek Majewski
    Genome Res. May 2022 32: 825-837; Published in Advance April 8, 2022, doi:10.1101/gr.276383.121
    ...interactions. Here, we use the mouse embryonic stem cell (mESC) model to describe in detail the relationships within the H3K27-H3K36-DNA methylation subnetwork. In particular, we focus on the major epigenetic reorganization caused by deletion of the histone 3 lysine 36 methyltransferase NSD1, which in m...
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  9. Research: Nanopore direct RNA sequencing reveals METTL2A-mediated m3C sites in poly(A) RNA
    • Shuhei Mitsutomi,
    • Anzu Sugawara,
    • Masahide Seki,
    • Yutaka Suzuki,
    • Sotaro Miyao,
    • Haozhe Du,
    • Kenji Takahashi,
    • Yusuke Mizukami,
    • Kenzui Taniue,
    • and Nobuyoshi Akimitsu
    Genome Res. November 2025 35: 2406-2417; Published in Advance October 30, 2025, doi:10.1101/gr.280269.124
    ...by regulating gene expression, RNA metabolism, and translation. Their dysregulation contributes to the development of human diseases, including cancer. 3-methylcytidine (m3C) primarily occurs in transfer RNA, where it regulates translation, stem cell pluripotency, and mitochondrial function. m3C has also been...
  10. Review: Understanding isoform expression by pairing long-read sequencing with single-cell and spatial transcriptomics
    • Natan Belchikov,
    • Justine Hsu,
    • Xiang Jennie Li,
    • Julien Jarroux,
    • Wen Hu,
    • Anoushka Joglekar,
    • and Hagen U. Tilgner
    Genome Res. November 2024 34: 1735-1746; doi:10.1101/gr.279640.124
    ...(Lewis et al. 2003) but can also result in a variety of genetic diseases (Scotti and Swanson 2016; Zhang et al. 2022; Kurolap et al. 2023). In other cases, the resulting changes in sequence lead to protein products with distinct functions. For example, in human embryonic stem cells, an AS event...
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