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Biology subjects

Hasko, J.

Publications and source records attributed to Hasko, J..

3 recordsLinked to original sources

Generative Modelling of Oncogene-carrying Extrachromosomal Circular DNA Biogenesis and Dynamics in Cells

Extrachromosomal circular DNAs (ecDNA) are focal gene amplifications frequently associated with cancer development and often indicating a poor prognosis. To understand the early dynamics of oncogene-carrying ecDNAs, we previously developed CRISPR-C, a tool for precise ecDNA generation by deleting specific chromosomal regions. Here, we adapted CRISPR-C to recreate tumor ecDNAs. This method also allowed us to enhance ecDNA generation efficiency by directly delivering Cas9 protein and sgRNAs as a ribonucleoprotein complex. By using the modified CRISPR-C, we successfully generated ecDNAs carrying oncogenes (EGFR, CDK4, MDM2, MYC, MYCN, FGFR2, ABCB1, and DHFR) in various human cell types. Furthermore, we demonstrated that our method could generate chimeric ecDNAs composed of target sequences from distant intra or inter-chromosomal regions. Using these generative ecDNA cell models, we studied the oncogene ecDNA expression and stability. The MDM2 expression was increased after CRISPR-C, while CDK4 was decreased indicating genomic-context dependent effect. The copy number of CRISPR-C generated CDK4 was ecDNA increased in cells after a long period of treatment with the CDK4 inhibitor palbociclib. Unlike CDK4, the CRISPR-C generated ABCB1 ecDNA was unstable in cells under normal growth conditions, but is stably retained when the cells were treated with colcemid, a recognized substrate for ABCB1. We thus provide valuable tools and an attractive platform for studying ecDNA biogenesisy and in vitro drug screening on ecDNA stability.

cancer biology↗

Complementing Muscle Regeneration: Fibro-Adipogenic Progenitor and Macrophage-Mediated Repair of Elderly Human Skeletal Muscle

The capacity to regenerate skeletal muscle function after injury requires a complex and well-coordinated cellular response. Here, we unravel the intricate dynamics of human skeletal muscle regeneration by combining spatial, temporal, and single cell transcriptomics. Using spatial RNA sequencing, we profiled the expression of human protein-coding genes in elderly human skeletal muscle biopsies before as well as 2-, 8-, and 30-days post injury. Single Cell-Spatial deconvolution analysis highlights monocytes/macrophages and fibro-adipogenic progenitors (FAPs) as pivotal players in human muscle regeneration. By utilizing flow cytometry and cell sorting we confirmed increased cellular content and activity during regeneration. Spatial correlation analysis unveils FAPs and monocytes/macrophages co-localization and intercellular communication, mediated by complement factor C3. Immunostaining confirms C3 expression in FAPs and FAP secretion of C3, suggesting a role in phagocytosis. Functional assays demonstrate C3s impact on monocyte metabolism, survival and phagocytosis, unveiling its involvement in skeletal muscle regeneration. These insights elucidate FAP-macrophage interplay with perspectives for future therapeutic interventions.

physiology↗

Technical and biological variations in the purification of extrachromosomal circular DNA (eccDNA) and the finding of more eccDNA in the plasma of lung adenocarcinoma patients compared with healthy donors

Human plasma DNA originates from all tissues and organs, holding the potential as a versatile marker for diseases such as cancer, as fragments of cancer-specific alleles can be found circulating in the blood. While linear DNA has been studied intensely as a liquid biomarker, the role of circular circulating DNA in cancer is more unknown due, in part, to a lack of comprehensive testing methods. Our developed method profiles extrachromosomal circular DNA (eccDNA) in plasma, integrating Solid-Phase Reversible Immobilization (SPRI) bead purification, the removal of linear DNA and mitochondrial DNA, and DNA sequencing. As an initial assessment, we examined the method, biological variations, and technical variations using plasma samples from four patients with lung adenocarcinoma and four healthy and physically fit individuals. Despite the small sample group, we observed a significant eccDNA increase in cancer patients in two independent laboratories and that eccDNA covered up to 0.4 % of the genome/mL plasma. We found a subset of eccDNA from recurrent genes present in cancer samples but not in every control. In conclusion, our data reflect the large variation found in eccDNA sequence content and show that the variability observed among replicates in eccDNA stems from a biological source and can cause inconclusive findings for biomarkers. This suggests the need to explore other biological markers, such as epigenetic features on eccDNA.

molecular biology↗