Biology subjects

Zagelbaum, J.

Publications and source records attributed to Zagelbaum, J..

3 recordsLinked to original sources

bioRxiv2022

Mechanisms of insertions at a DNA double-strand break

Insertions and deletions (indels) are common sources of structural variation, and insertions originating from spontaneous DNA lesions are frequent in cancer. We developed a highly sensitive assay in human cells (Indel-Seq) to monitor rearrangements at the TRIM37 acceptor locus which reports indels stemming from experimentally-induced and spontaneous genome instability. Templated insertions derive from sequences genome-wide and are enriched within 100 kb of donor regions flanking a DSB. Insertions require contact between donor and acceptor loci as well as DNA-PK catalytic activity. Notably, these templated insertions originate from actively transcribed loci, underscoring transcription as a critical source of spontaneous genome instability. Transcription-coupled insertions involve a DNA/RNA hybrid intermediate and are stimulated by DNA end-processing. Using engineered Cas9 breaks, we establish that ssDNA overhangs at the acceptor site greatly stimulate insertions. Indel-Seq revels that insertions are generated via at least three distinct pathways. Our studies indicate that insertions result from movement and subsequent contact between acceptor and donor loci followed invasion or annealing, then by non-homologous end-joining at the acceptor site.

molecular biology↗

bioRxiv2021

ARP2/3- and resection-coupled genome reorganization facilitates translocations

DNA end-resection and nuclear actin-based movements orchestrate clustering of double-strand breaks (DSBs) into homology-directed repair (HDR) domains. Here, we analyze how actin nucleation by ARP2/3 affects damage-dependent and -independent 3D genome reorganization and facilitates pathologic repair. We observe that DNA damage, followed by ARP2/3-dependent establishment of repair domains enhances local chromatin insulation at a set of damage-proximal boundaries and affects compartment organization genome-wide. Nuclear actin polymerization also promotes interactions between DSBs, which in turn facilitates aberrant intra- and inter-chromosomal rearrangements. Notably, BRCA1 deficiency, which decreases end-resection, DSB mobility, and subsequent HDR, nearly abrogates recurrent translocations between AsiSI DSBs. In contrast, loss of functional BRCA1 yields unique translocations genome-wide, reflecting a critical role in preventing spontaneous genome instability and subsequent rearrangements. Our work establishes that the assembly of DSB repair domains is coordinated with multiscale alterations in genome architecture that enable HDR despite increased risk of translocations with pathologic potential.

molecular biology↗

bioRxiv2017

A Method for Quantifying Molecular Interactions Using Stochastic Modelling and Super-Resolution Microscopy

We introduce the Interaction Factor (IF), a measure for quantifying the interaction of molecular clusters in super-resolution microscopy images. The IF is robust in the sense that it is independent of cluster density, and it only depends on the extent of the pair-wise interaction between different types of molecular clusters in the image. The IF for a single or a collection of images is estimated by first using stochastic modelling where the locations of clusters in the images are repeatedly randomized to estimate the distribution of the overlaps between the clusters in the absence of interaction (IF=0). Second, an analytical form of the relationship between IF and the overlap (which has the random overlap as its only parameter) is used to estimate the IF for the experimentally observed overlap. The advantage of IF compared to conventional methods to quantify interaction in microscopy images is that it is insensitive to changing cluster density and is an absolute measure of interaction, making the interpretation of experiments easier. We validate the IF method by using both simulated and experimental data and provide an ImageJ plugin for determining the IF of an image.

bioinformatics↗