Search bioRxiv⌕ Search

Biology subjects

Loizou, J.

Publications and source records attributed to Loizou, J..

3 recordsLinked to original sources

Dissecting DNA-mismatch-repair-driven mutational processes in human cells

Mismatch repair (MMR) is an essential DNA repair pathway that preserves genome stability by correcting replication errors and other DNA lesions. MMR deficiency (MMRd) leads to increased mutation rates and microsatellite instability, and contributes to tumorigenesis in multiple cancer types, yet the full spectrum of mutational patterns caused by MMRd remains incompletely defined. Here, using CRISPR-Cas9 knockouts in human isogenic cell lines, we systematically profile mutations arising in MMR-deficient cells. We observe a marked increase in mutation burden and the appearance of established MMRd-associated mutational signatures. Unexpectedly, we also detect signatures SBS57 and DBS14 and connect them to germline single-nucleotide polymorphisms that co-occur with MMR-driven indels. In addition, we provide experimental genomic evidence supporting a role of MMR in preventing mutations underlying the widespread SBS1 signature, and we link MMR deficiency to the indel signature ID12, which currently lacks a known aetiology. Finally, comparing in vitro MMRd profiles from rapidly dividing cells without exogenous mutagen exposure to in vivo tumour genomes that reflect lifelong mutation accumulation reveals pronounced differences in signature composition, underscoring the context dependence of MMR-linked mutagenesis. Together, our results broaden the known mutational footprint of MMR deficiency and illuminate previously uncharacterised mechanisms relevant to cancer development.

genetics↗

BioProfiling.jl: Profiling biological perturbations with high-content imaging in single cells and heterogeneous populations

MotivationHigh-content imaging screens provide a cost-effective and scalable way to assess cell states across diverse experimental conditions. The analysis of the acquired microscopy images involves assembling and curating morphological measurements of individual cells into morphological profiles suitable for testing biological hypotheses. Despite being a critical step, there is currently no standard approach to morphological profiling and no solution is available for the high-performance Julia programming language. ResultsHere, we introduce BioProfiling.jl, an efficient end-to-end solution for compiling and filtering informative morphological profiles in Julia. The package contains all the necessary data structures to curate morphological measurements and helper functions to transform, normalize and visualize profiles. Robust statistical distances and permutation tests enable quantification of the significance of the observed changes despite the high fraction of outliers inherent to high-content screens. This package also simplifies visual artifact diagnostics, thus streamlining a bottleneck of morphological analyses. We showcase the features of the package by analyzing a chemical imaging screen, in which the morphological profiles prove to be informative about the compounds mechanisms of action and can be conveniently integrated with the network localization of molecular targets. AvailabilityThe Julia package is available on GitHub: https://github.com/menchelab/BioProfiling.jl We also provide Jupyter notebooks reproducing our analyses: https://github.com/menchelab/BioProfilingNotebooks Contactjoerg.menche@univie.ac.at

bioinformatics↗

Mapping the human kinome in response to DNA damage

We provide a catalog for the effects of the human kinome on cell survival in response to DNA damaging agents, selected to cover all major DNA repair pathways. By treating 313 kinase-deficient cell lines with ten diverse DNA damaging agents, including seven commonly used chemotherapeutics, we were able to identify kinase specific vulnerabilities and resistances. In order to identify novel synthetic lethal interactions, we investigate the cellular response to carmustine for 25 cell lines, by establishing a phenotypic FACS assay designed to mechanistically investigate and validate gene-drug interactions. We show apoptosis, cell cycle, DNA damage and proliferation after alkylation or crosslink-induced damage for selected cell lines and rescue the cellular sensitivity of DYRK4, EPHB6, MARK3, PNCK as a proof of principle for our study. Our data suggest that some cancers with inactivated DYRK4, EPHB6, MARK3 or PNCK gene could be particularly vulnerable to treatment by alkylating chemotherapeutic agents carmustine or temozolomide.

systems biology↗