Search bioRxiv⌕ Search

Biology subjects

Nguyen, P. T. T.

Publications and source records attributed to Nguyen, P. T. T..

2 recordsLinked to original sources

A nuclear branched-chain amino acid catabolism pathway controls histone propionylation in pancreatic cancer

Branched-chain amino acid (BCAA) catabolism contributes prominently to the TCA cycle in the healthy pancreas but is suppressed in pancreatic ductal adenocarcinoma (PDA). The impact of this metabolic remodeling on cancer phenotypes remains poorly understood. Here, we find that the BCAA isoleucine is a primary source of propionyl-CoA in PDA cells. Reduction of propionyl-CoA availability by either genetic perturbation or isoleucine and valine starvation decreases histone propionylation (Kpr) without impacting histone acetylation on specific lysine sites, correlating with reduced transcription of certain lipid- and immune-related genes. Mechanistically, we find that multiple enzymes of isoleucine catabolism unexpectedly localize to and carry out multi-step isoleucine oxidation within the nuclei of PDA cells. Importantly, nuclear localization of the rate-limiting branched-chain alpha ketoacid dehydrogenase (BCKDH) complex is essential for isoleucine-dependent Kpr and gene regulation. Moreover, we demonstrate that isoleucine-sensitive Kpr and its associated gene expression are driven by the MYST family of lysine acyltransferases (KATs), and that the BCKDHA subunit of the BCKDH complex interacts with KAT7 within the nuclear compartment. BCAA catabolism enzymes are apparent in the nuclei of PanIN lesions in mice and PDA tumors in patients, contrasting that in healthy pancreatic acinar and ductal cells. Collectively, these findings unveil a nuclear isoleucine catabolism pathway and highlight its role in controlling histone Kpr and tumorigenic transcriptional programs in PDA.

cancer biology↗

ClusTRace, a bioinformatic pipeline for analyzing clusters in virus phylogenies

SummarySARS-CoV-2 is the highly transmissible etiologic agent of coronavirus disease 2019 (COVID-19) and has become a global scientific and public health challenge since December 2019. Several new variants of SARS-CoV-2 have emerged globally raising concern about prevention and treatment of COVID-19. Early detection and in depth analysis of the emerging variants allowing pre-emptive alert and mitigation efforts are thus of paramount importance. Here we present ClusTRace, a novel bioinformatic pipeline for a fast and scalable analysis of sequence clusters or clades in large viral phylogenies. ClusTRace offers several high level functionalities including outlier filtering, aligning, phylogenetic tree reconstruction, cluster or clade extraction, variant calling, visualization and reporting. ClusTRace was developed as an aid for COVID-19 transmission chain tracing in Finland and the main emphasis has been on fast and unsupervised screening of phylogenies for markers of super-spreading events and other features of concern, such as high rates of cluster growth and/or accumulation of novel mutations. AvailabilityAll code is freely available from https://bitbucket.org/plyusnin/clustrace/

bioinformatics↗