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Sakoltchik, J.

Publications and source records attributed to Sakoltchik, J..

2 recordsLinked to original sources

USP1/UAF1 targets polyubiquitinated PCNA with an exo-cleavage mechanism that enriches for monoubiquitinated PCNA

DNA damage tolerance (DDT) is an important pathway that allows our cells to bypass DNA lesions during replication. DDT is orchestrated by ubiquitination of PCNA: Monoubiquitination (PCNA-Ub) initiates recruitment of TLS polymerases but also serves as substrate for K63-linked polyubiquitination that leads to HR-mediated bypass mechanisms. Recent work on USP1/UAF1 inhibition revealed that K48-linked chains are also formed on PCNA, resulting in its proteasomal degradation. USP1/UAF1 is established as deubiquitinating enzyme (DUB) for PCNA-Ub, but little is known about deubiquitination of chains on PCNA. Here we show that USP1/UAF1 cleaves both K48 and K63-linked ubiquitin chains on PCNA efficiently, using an exo-cleavage mechanism. Kinetic analysis reveals that USP1/UAF1 prefers cleaving the ubiquitin-ubiquitin bond over cleavage of the ubiquitin-PCNA isopeptide bond and therefore treats poly- and monoubiquitinated PCNA as different substrates. A cryo-EM structure of USP1/UAF1 with a K63-diubiquitin and structure-based mutagenesis reveals that its mechanistic preference is maintained in evolution. Its kinetic mechanism results in relative enrichment of monoubiquitinated PCNA that could initially promote TLS over HR-like bypass. Taken together, these results suggest that USP1/UAF1 could be important in temporary protection of PCNA against K48- and K63-linked polyubiquitination and highlight this DUB as a potential regulator of DDT pathway choice.

biochemistry↗

DNA methylation database for gynecological cancer detection, classification and assay development

Changes in the genome wide DNA methylation landscape are hallmarks of cancer cells and precursor lesions of cancers. To capitalize on utilizing DNA methylation for detection and classification of cancer, we generated a DNA methylation database of gynecological cancers and associated healthy tissues using Methylated DNA sequencing (MeD-seq). We show that target cell enrichment to generate the database is crucial for marker discovery and report a wide range of novel biomarkers for classification and tissue of origin determination of gynecological cancers. We developed a subset of these novel biomarkers, both intragenic and intergenic, into a qMSP assays that detect all gynecological cancers at once or specific gynecological cancer subtypes, as well as cancers that are not part of our database. The database generated in this study not only provides the foundation for cancer detection, classification and biomarker discovery, but also for treatment monitoring of cancers using MeD-seq on liquid biopsies.

cancer biology↗