Searching journal content for articles similar to Liu et al. 28 (10): 1481.

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  1. 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
    ..., unlike in tRNAs, m3C sites in poly(A) RNAs are not specifically associated with loop structures.METTL2A downregulates m3C RNAsTo investigate the role of METTL2A in pancreatic cancer cells, we analyzed METTL2A-regulated genes in AsPC-1 cells. Direct RNA sequencing revealed that METTL2A knockdown led...
  2. Method: De novo detection of somatic variants in high-quality long-read single-cell RNA sequencing data
    • Arthur Dondi,
    • Nico Borgsmüller,
    • Pedro F. Ferreira,
    • Brian J. Haas,
    • Francis Jacob,
    • Viola Heinzelmann-Schwarz,
    • Tumor Profiler Consortium,
    • and Niko Beerenwinkel
    Genome Res. April 2025 35: 900-913; Published in Advance March 19, 2025, doi:10.1101/gr.279281.124
    ....beerenwinkel@bsse.ethz.chAbstractIn cancer, genetic and transcriptomic variations generate clonal heterogeneity, leading to treatment resistance. Long-read single-cell RNA sequencing (LR scRNA-seq) has the potential to detect genetic and transcriptomic variations simultaneously. Here, we present LongSom, a computational workflow leveraging...
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  3. Method: Deep structural clustering reveals hidden systematic biases in RNA sequencing data
    • Qiang Su,
    • Yi Long,
    • Deming Gou,
    • Junmin Quan,
    • Xiaoming Zhou,
    • and Qizhou Lian
    Genome Res. November 2025 35: 2563-2577; Published in Advance September 19, 2025, doi:10.1101/gr.280713.125
    ...of Pharmaceutical Biotechnology and Department of Medicine, the University of Hong Kong, Hong Kong SAR, China ↵9 These authors contributed equally to this work. Corresponding authors: su@chemie.uni-siegen.de, zhouxm@scnu.edu.cn, qz.lian@siat.ac.cnAbstractRNA sequencing (RNA-seq) is a pivotal tool for transcriptomic...
  4. Research: Long-read single-cell RNA sequencing enables the study of cancer subclone-specific genotypes and phenotypes in chronic lymphocytic leukemia
    • Gage S. Black,
    • Xiaomeng Huang,
    • Yi Qiao,
    • Philip Moos,
    • Deepa Sampath,
    • Deborah M. Stephens,
    • Jennifer A. Woyach,
    • and Gabor T. Marth
    Genome Res. April 2025 35: 686-697; Published in Advance February 18, 2025, doi:10.1101/gr.279049.124
    ...-mutated subclones exhibit distinct transcriptomic behavior when compared to other cancer subclones. To achieve these goals, we use scBayes, which integrates bulk DNA sequencing and single-cell RNA sequencing (scRNA-seq) data to genotype individual cells for subclone-defining mutations. Although the most common...
  5. Method: High-fidelity bidirectional translation between single-cell transcriptomes and DNA methylomes with scBOND
    • Kehan Lang,
    • Chenyang Jia,
    • Siyu Li,
    • Yi Guo,
    • Dingjun Hu,
    • and Shengquan Chen
    Genome Res. March 26, 2026 ; Published in Advance March 26, 2026, doi:10.1101/gr.281350.125
    ...remains limited owing to technical challenges and high costs. Computational approaches for cross-modality translation provide a promising solution to these limitations by enabling the inference of one modality from another. However, existing methods for cross-modality translation between single-cell RNA...
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  6. 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 target genes (Gao et al. 2023).Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at the individual cell level, revealing cellular heterogeneity with single-cell resolution and significantly enhancing the understanding of cell type–specific gene regulation (Chen and Liu 2022; Kartha...
  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
    ...), and the development of microarrays first (Schena et al. 1995) and high-throughput sequencing later (Margulies et al. 2005) boosted our capacity to analyze transcriptomes. Nowadays, the most common technique to analyze gene expression is RNA sequencing (RNA-seq). This technique consists of first isolating RNA from...
  8. Method: Quantifying pathological progression from single-cell transcriptomic data with scPSS
    • Samin Rahman Khan,
    • M Saifur Rahman,
    • M. Sohel Rahman,
    • and Md Abul Hassan Samee
    Genome Res. February 2026 36: 375-386; Published in Advance January 14, 2026, doi:10.1101/gr.280411.125
    ...of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh; 4Department of Integrative Physiology, Baylor College of Medicine, Houston, Texas 77030, USA Corresponding authors: msrahman@cse.buet.ac.bd, samee@bcm.eduAbstractThe surge in single-cell data sets...
  9. Method: Batch correction methods used in single-cell RNA sequencing analyses are often poorly calibrated
    • Sindri Emmanúel Antonsson and
    • Páll Melsted
    Genome Res. August 2025 35: 1832-1841; Published in Advance July 7, 2025, doi:10.1101/gr.279886.124
    ...Sindri Emmanúel Antonsson and Páll Melsted Faculty of Industrial Engineering, Mechanical Engineering, and Computer Science, University of Iceland, 102 Reykjavík, Iceland Corresponding author: pmelsted@hi.isAbstractAs the number of experiments that employ single-cell RNA sequencing (scRNA-seq) grows...
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  10. Research: Integrating short-read and long-read single-cell RNA sequencing for comprehensive transcriptome profiling in mouse retina
    • Meng Wang,
    • Yumei Li,
    • Jun Wang,
    • Soo Hwan Oh,
    • Yexuan Cao,
    • and Rui Chen
    Genome Res. April 2025 35: 740-754; Published in Advance March 6, 2025, doi:10.1101/gr.279167.124
    ...a systematic comparison between single-cell long-read and conventional short-read RNA sequencing techniques. The transcriptome of approximately 30,000 mouse retina cells was profiled using 1.54 billion Illumina short reads and 1.40 billion Oxford Nanopore Technologies long reads. Consequently, we identify 44...
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