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    Genome research

    Genome research

    JournalISSN 1088-9051eISSN 1549-5469中科院 生物学 1区

    年发文量

    研究主题

    论文(6495)

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    1NewDerivation of Doxorubicin Mutational Signatures in Cancer
    Katie T. Skinner, Benjamin P. Lee, Carson W. Woods,Jessica S. Yoon,Szu-Chi Ho,Arnoud Boot,Willie Yu,Steven G. Rozen,Andrew L. Hong

    Doxorubicin is a chemotherapeutic agent used for the treatment of solid and hematopoietic malignancies. Doxorubicin acts as a DNA intercalator and inhibits the topoisomerase II enzyme, leading to double-stranded breaks. We hypothesize that doxorubicin mutagenesis leads to a nonrandom pattern of somatic mutations on the genome, termed a mutational signature. We expose cells to doxorubicin using two different methodologies: (1) continuous exposure of a constant dose of doxorubicin and whole-genome sequencing of single-cell clones (previously published methodology) and (2) pulsed exposure of escalating doses of doxorubicin and whole-genome sequencing of a bulk population. We first confirm that the methodologies do not yield differing results through previously published cisplatin-exposed single-cell clone genome data compared with the dose escalation and bulk genome data. We then derive two doxorubicin signatures. The first, SBS-doxorubicin-1, is defined by an abundance of C > A mutations. The second, SBS-doxorubicin-2, is defined by a higher occurrence of T > C mutations. We then assess for the presence of our signatures within the genomes of patients treated with a doxorubicin-containing regimen. Across 10 bulk immune sorted samples from three patients with follicular lymphoma/diffuse large B cell lymphoma, as well as two metastatic samples from one patient with renal medullary carcinoma, we are able to detect both signatures in 83% of samples, with remaining samples harboring either signature. In summary, we experimentally derive two doxorubicin mutational signatures and demonstrate their presence in patient samples.

    2026
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    2NewIntegration-free and Cluster-Free Detection of Localized Differential Gene Coexpression in Single-Cell Data with DiCoLo.
    Rui-Qi Li,Jun-Chen Yang, Pei-Chun Su,Ariel Jaffe,Ofir Lindenbaum,Yuval Kluger
    2026
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    3NewChromosome-scale Genome Assembly and Annotation of Octodon Degus.
    J. Chiu,Nathan R. Zemke, Xiao-Meng Gao, Maximiliano Garduño,Bing Yang, Melanie L. Oakes,Weronika M. Bartosik, Kristie Wong, Patricio Pezo-Valderrama, Yang Xie,Claudio Urra,Juan F. Macias-Velasco,
    2026
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    4NewA New Noninvasive Prenatal Paternity Test Based on Double Nucleotide Polymorphisms Abates Sequencing Uncertainties and Improves Sensitivity.
    Eugenia D'Atanasio,Letizia Pistacchia, Elisa Bella,Francesco Ravasini, M. Hajiesmaeil,Flavia Risi, Chiara Sanzico, Pietro La Riccia, Francesca Siggillino, N. Meschino, Francesca Blandino, E. Cotroneo,
    2026
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    5NewBase Composition Reflects RNA Polymerase II Displacement
    Georgia Elizabeth Foster Barone, Jacob T Stanley,Daniel Ramirez,Joseph F Cardiello, Nina Ripin,Roy Parker, Mary Ann Allen, Robin D Dowell

    RNA Polymerase II (Pol II) transcribes all protein-coding and many nonprotein-coding genes in the genome. Pol II transcription termination is crucial for RNA maturation and, when disrupted, can lead to altered RNA processing and RNA export. Termination involves two intertwined processes: RNA cleavage and Pol II release from the DNA (displacement). Despite its importance, the exact mechanisms underlying Pol II displacement from the DNA remain poorly understood. Moreover, under certain cellular stress conditions, there is a partial failure of cleavage, leading to a shift of the position of displacement further downstream, a phenomenon known as readthrough transcription. We present a systematic analysis of Pol II termination across cell types and species and provide novel insights into the mechanism of displacement. Using a probabilistic mixture model to quantify Pol II dynamics across entire gene bodies from nascent RNA sequencing data, we find that genes fall into two classes defined by conserved base composition patterns near the displacement site. Both classes share a T-rich region upstream of displacement, and one class additionally carries a GC-rich region surrounding displacement. We find that GC-rich predisplacement regions have more accessible chromatin and higher levels of phospho-threonine 4 on the CTD of Pol II. Additionally, we find that displacement at genes with only the upstream T-rich pattern are more likely to be affected by perturbations that alter displacement, including heat shock, viral infection, kinase inhibition, and arsenic treatment. Thus, our work identifies two types of Pol II displacement regions, which are differentially affected by perturbations of cellular homeostasis.

    2026
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    高被引作者

    作者引用发文
    Trey Ideker590837
    Nitin Baliga586638
    Paul Shannon580462
    Nada Amin576901
    Benno Schwikowski576901
    Andrew Markiel576901
    Owen Ozier576901
    Daniel Ramage576901
    Jonathan T. Wang576901
    Jim Kent4007117

    高产作者

    作者引用发文
    Evan Eichler1041776
    Richard Myers1116351
    Mark B Gerstein1857746
    Webb Miller2102444
    Marco Marra1982943
    Michael Snyder1508841
    Richard A Gibbs1057640
    Eric Green656339
    Ross C. Hardison1125235
    Piero Carninci352635

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