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Method: EnDeep4mC predicts DNA N⁴-methylcytosine sites using a dual-adaptive feature encoding framework in deep ensembles
- Shuyu Zhang,
- Quan Zou,
- Mengting Niu,
- Zhibin Lv,
- Antony Stalin,
- and Ximei Luo
Genome Res. March 2026 36: 589-599; Published in Advance February 17, 2026, doi:10.1101/gr.280977.125
...that dynamically selecting feature encodings via cross-species/model performance quantification and incremental feature selection and (2) a three-tier probability fusion architecture in which Tier-I employs models (CNN, Bi-LSTM, Transformer) to parallelly generate prediction initial probabilities, Tier...
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Resource: MPRAbase a Massively Parallel Reporter Assay database
- Jingjing Zhao,
- Fotis A Baltoumas,
- Maxwell A Konnaris,
- Ioannis Mouratidis,
- Zhe Liu,
- Jasmine Sims,
- Vikram Agarwal,
- Georgios A Pavlopoulos,
- Ilias Georgakopoulos-Soares,
- and Nadav Ahituv
Genome Res. April 22, 2025 gr.280387.124; Published in Advance April 22, 2025, doi:10.1101/gr.280387.124
...-regulatory elements with putative roles in transcriptional gene regulation have been identified (Encode Project Consortium 2012; Thurman et al. 2012). Following up on their annotation, a major challenge has been to functionally characterize these elements. Massively parallel reporter assays (MPRAs) were built...
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Research: Long-read DNA and cDNA sequencing identify cancer-predisposing deep intronic variation in tumor-suppressor genes
- Suleyman Gulsuner,
- Amal AbuRayyan,
- Jessica B. Mandell,
- Ming K. Lee,
- Greta V. Bernier,
- Barbara M. Norquist,
- Sarah B. Pierce,
- Mary-Claire King,
- and Tom Walsh
Genome Res. November 2024 34: 1825-1831; Published in Advance September 13, 2024, doi:10.1101/gr.279158.124
...and cDNA sequencing, based on patient-derived DNA and RNA, to systematically evaluate deep intronic variation. We identified all variants across the full genomic loci of targeted genes, applied the in silico tools SpliceAI and Pangolin to predict variants of functional consequence, and then carried out...
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Method: Label-free selection of marker genes in single-cell and spatial transcriptomics with geneCover
- An Wang,
- Stephanie Hicks,
- Donald Geman,
- and Laurent Younes
Genome Res. December 2025 35: 2744-2755; Published in Advance November 12, 2025, doi:10.1101/gr.280539.125
...transcriptomics data. Most current approaches to marker gene selection operate in a label-based framework, which is inherently limited by its dependency on predefined cell type labels or clustering results. In contrast, existing label-free methods often struggle to identify genes that characterize rare cell types...
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Method: Structure-optimized sgRNA selection with PlatinumCRISPr for efficient Cas9 generation of knockouts
- Irmgard U. Haussmann,
- Thomas C. Dix,
- David W.J. McQuarrie,
- Veronica Dezi,
- Abdullah I. Hans,
- Roland Arnold,
- and Matthias Soller
Genome Res. December 2024 34: 2279-2292; Published in Advance December 3, 2024, doi:10.1101/gr.279479.124
.... The presence of a PCR product indicates the expected gene deletion. DNA markers are indicated on the left. (C) Agarose gels showing RT-PCR products amplified from cDNA of control or Ythdc1 transposon excision lines using internal primers flanking an intron. Ectopic insertion in the opposite orientation...
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Method: A versatile type VI CRISPR-based approach for targeted m⁶A demethylation in mRNAs
- Panagiotis G. Adamopoulos,
- Konstantina Athanasopoulou,
- and Andreas Scorilas
Genome Res. January 2026 36: 169-182; Published in Advance December 11, 2025, doi:10.1101/gr.280476.125
...′ poly(A) tails of mRNAs were carried out by incubating each mRNA sample for 10 min at room temperature, using a T4 DNA ligase (New England Biolabs). Reverse transcription was performed in a 40 µL reaction volume on a Veriti 96-well fast thermal cycler (Applied Biosystems). The produced cDNA sample...
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Research: ISWI1 complex proteins facilitate developmental genome editing in Paramecium
- Aditi Singh,
- Lilia Häußermann,
- Christiane Emmerich,
- Emily Nischwitz,
- Brandon K.B. Seah,
- Falk Butter,
- Mariusz Nowacki,
- and Estienne C. Swart
Genome Res. January 2025 35: 93-108; Published in Advance November 14, 2024, doi:10.1101/gr.278402.123
...783 amino acids long; 92.04% amino acid sequence identity) is also present in the subset of peptides identified as unique to ISWI1-IP replicates in the same MS data set (Singh et al. 2022). Based on their properties and the experiments reported below, we named our putative interacting candidate ISWI1...
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Research: Characterization of DNA methylation reader proteins in Arabidopsis thaliana
- Jonathan Cahn,
- James P.B. Lloyd,
- Ino D. Karemaker,
- Pascal W.T.C. Jansen,
- Jahnvi Pflueger,
- Owen Duncan,
- Jakob Petereit,
- Ozren Bogdanovic,
- A. Harvey Millar,
- Michiel Vermeulen,
- and Ryan Lister
Genome Res. December 2024 34: 2229-2243; Published in Advance December 4, 2024, doi:10.1101/gr.279379.124
...examine the similarities and differences of where these seven selected mC reader proteins were binding in the , we merged the peaks from each of the proteins into a nonoverlapping set of regions, which were then clustered based on their ChIP-seq signal for each of the mC reader proteins (Fig. 2E). Five...
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Method: Highly accurate reference and method selection for universal cross–data set cell type annotation with CAMUS
- Qunlun Shen,
- Shuqin Zhang,
- and Shihua Zhang
Genome Res. November 2025 35: 2527-2538; Published in Advance October 1, 2025, doi:10.1101/gr.280821.125
...: zhangs@fudan.edu.cn, zsh@amss.ac.cnAbstractCell type annotation is a critical and essential task in single-cell data analysis. Various reference-based methods have provided rapid annotation for diverse single-cell data. However, selection of the optimal references and methods is often overlooked...
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Method: Tissular chromatin-state cartography based on double-barcoded DNA arrays that capture unloaded PA-Tn5 transposase
- Maria Grazia Mendoza-Ferri,
- Gwendoline Lozachmeur,
- Maximilien Duvina,
- Laetitia Perret,
- Didier Merciris,
- Anne Gigout,
- and Marco Antonio Mendoza-Parra
Genome Res. July 2025 35: 1633-1645; Published in Advance May 13, 2025, doi:10.1101/gr.280305.124
...,J), chromatin states in promoter regions do change across tissue section. To characterize these changes, we have selected genes based on the number of overenriched SpExel across the tissue (>40% occupied SpExel when considering all chromatin-state combinations and >10% for at least one of the chromatin states...
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