Biology subjects

Law, J. A.

Publications and source records attributed to Law, J. A..

6 recordsLinked to original sources

bioRxiv2025

Arabidopsis YEATS domain proteins facilitate DNA double strand break repair via homologous recombination pathways

DNA double-strand break (DSB) repair is required to maintain genome integrity and organismal fitness. This process occurs within chromatin and although accurate repair requires extensive changes in chromatin structure and composition, chromatin effectors facilitating DSB repair remain largely unknown in plants. Using reverse genetics, we identified two chromatin readers, YAF9A and YAF9B, as new factors required for DSB repair in Arabidopsis. While only YAF9B is induced by DNA damage, both YAF9A and YAF9B are required for DSB repair, including via homologous recombination (HR)-like pathways. Mechanistically, we found YAF9A and YAF9B denote distinct remodeling complexes: While YAF9A associates with both NuA4 and SWR1, YAF9B only associates with NuA4, defining a DNA-damage-specific version of this remodeling complex and revealing the first link between NuA4 and DSB repair in plants. We also uncovered direct roles for YAF9A and YAF9B in DNA repair, rather than indirect roles in gene regulation, as yaf9 mutants showed normal transcriptional responses to DNA damage. Finally, we demonstrate that the YAF9B reader domain is required for DSB repair. These results link YAF9A, YAF9B, and their respective remodeling complexes, to DSB repair in a histone reader-dependent manner, expanding our understanding of how chromatin effectors regulate DSB repair in plants.

plant biology↗

bioRxiv2023

CLSY docking to Pol IV requires a conserved domain critical for small RNA biogenesis and transposon silencing.

Eukaryotes must balance the need for gene transcription by RNA polymerase II (Pol II) against the danger of mutations caused by transposable element (TE) proliferation. In plants, these gene expression and TE silencing activities are divided between different RNA polymerases. Specifically, RNA polymerase IV (Pol IV), which evolved from Pol II, transcribes TEs to generate small interfering RNAs (siRNAs) that guide DNA methylation and block TE transcription by Pol II. While the Pol IV complex is recruited to TEs via SNF2-like CLASSY (CLSY) proteins, how Pol IV partners with the CLSYs remains unknown. Here we identified a conserved CYC-YPMF motif that is specific to Pol IV and is positioned on the complex exterior. Furthermore, we found that this motif is essential for the co-purification of all four CLSYs with Pol IV, but that only one CLSY is present in any given Pol IV complex. These findings support a "one CLSY per Pol IV" model where the CYC-YPMF motif acts as a CLSY-docking site. Indeed, mutations in and around this motif phenocopy pol iv null mutants. Together, these findings provide structural and functional insights into a critical protein feature that distinguishes Pol IV from other RNA polymerases, allowing it to promote genome stability by targeting TEs for silencing.

molecular biology↗

bioRxiv2021

Targeted profiling of human extrachromosomal DNA by CRISPR-CATCH

Extrachromosomal DNA (ecDNA) is a common mode of oncogene amplification but is challenging to analyze. Here, we present a method for targeted purification of megabase-sized ecDNA by combining in-vitro CRISPR-Cas9 treatment and pulsed field gel electrophoresis of agarose-entrapped genomic DNA (CRISPR-CATCH). We demonstrate strong enrichment of ecDNA molecules containing EGFR, FGFR2 and MYC from human cancer cells. Targeted purification of ecDNA versus chromosomal DNA enabled phasing of genetic variants and provided definitive proof of an EGFRvIII mutation on ecDNA and wild-type EGFR on chromosomal DNA in a glioblastoma neurosphere model. CRISPR-CATCH followed by nanopore sequencing enabled single-molecule ecDNA methylation profiling and revealed hypomethylation of the EGFR promoter on ecDNA compared to the native chromosomal locus in the same cells. Finally, separation of ecDNA species by size and sequencing allowed accurate reconstruction of megabase- sized ecDNA structures with base-pair resolution. CRISPR-CATCH is a new addition to the toolkit for studying focal amplifications in cancer and will accelerate studies aiming to explore the genetic and epigenetic landscapes of ecDNA.

cancer biology↗

bioRxiv2021

Chemoenzymatic labeling of DNA methylation patterns for single-molecule epigenetic mapping

DNA methylation, specifically, methylation of cytosine (C) nucleotides at the 5-carbon position (5-mC), is the most studied and among the most significant epigenetic modifications. Here we developed a chemoenzymatic procedure to fluorescently label non-methylated cytosines in the CpG context allowing epigenetic profiling of single DNA molecules spanning hundreds of thousands of base pairs. For this method, a CpG methyltransferase was used to transfer an azide to cytosines from a synthetic S-adenosyl-l-methionine cofactor analog. A fluorophore was then clicked onto the DNA, reporting on the amount and position of non-methylated CpGs. We found that labeling efficiency was increased two-fold by the addition of a nucleosidase that degrades the inactive by-product of the azide-cofactor after labeling, and prevents its inhibitory effect. We first used the method to determine the decline in global DNA methylation in chronic lymphocytic leukemia patients and then performed whole genome methylation mapping of the model plant Arabidopsis thaliana. Our genome maps show high concordance with published methylation maps produced by bisulfite sequencing. Although mapping resolution is limited by optical detection to 500-1000 base pairs, the labeled DNA molecules produced by this approach are hundreds of thousands of base pairs long, allowing access to long repetitive and structurally variable genomic regions.

genomics↗

bioRxiv2021

The CLASSY family controls tissue-specific DNA methylation patterns in Arabidopsis

DNA methylation shapes the epigenetic landscape of the genome, plays critical roles in regulating gene expression, and ensures transposon silencing. As evidenced by the numerous defects associated with aberrant DNA methylation landscapes, establishing proper tissue-specific methylation patterns is critical. Yet, how such differences arise remains a largely open question in both plants and animals. Here we demonstrate that CLASSY1-4 (CLSY1-4), four locus-specific regulators of DNA methylation that are differentially expressed during plant development, play major roles in controlling tissue-specific DNA methylation patterns. Depending on the tissue, the genetic requirements for specific CLSYs differ significantly and, on a global scale, certain clsy mutants are sufficient to largely shift the epigenetic landscape between tissues. Together, these findings not only reveal substantial epigenetic diversity between tissues, but assign these changes to specific CLSY proteins, revealing how locus-specific targeting combined with tissue-specific expression enables the CLSYs to generate epigenetic diversity during plant development.

plant biology↗

bioRxiv2020

AmpliconReconstructor: Integrated analysis of NGS and optical mapping resolves the complex structures of focal amplifications in cancer

Oncogene amplification, a major driver of cancer pathogenicity, is often mediated through focal amplification of genomic segments. Recent results implicate extrachromosomal DNA (ecDNA) as the primary mechanism driving focal copy number amplification (fCNA) - enabling gene amplification, rapid tumor evolution, and the rewiring of regulatory circuitry. Resolving an fCNAs structure is a first step in deciphering the mechanisms of its genesis and the subsequent biological consequences. Here, we introduce a powerful new computational method, AmpliconReconstructor (AR), for integrating optical mapping (OM) of long DNA fragments (>150kb) with next-generation sequencing (NGS) to resolve fCNAs at single-nucleotide resolution. AR uses an NGS-derived breakpoint graph alongside OM scaffolds to produce high-fidelity reconstructions. After validating performance by extensive simulations, we used AR to reconstruct fCNAs in seven cancer cell lines to reveal the complex architecture of ecDNA, breakage-fusion-bridge cycles, and other complex rearrangements. By distinguishing between chromosomal and extrachromosomal origins, and by reconstructing the rearrangement signatures associated with a given fCNAs generative mechanism, AR enables a more thorough understanding of the origins of fCNAs, and their functional consequences.

bioinformatics↗