Publication in Journal of Cell Biology: SNX10 as a modulator of mitochondrial protein turnover and mitochondrial bioenergetics

Laura Trachsel-Moncho
Laura Trachsel-Moncho

Mitochondria are essential for cellular energy production and homeostasis, and their selective degradation through mitophagy is critical for maintaining cell function. However, the molecular mechanisms governing this process remain incompletely understood.

Now, Laura Trachsel-Moncho and co-workers in Anne Simonsen’s group identify the endosomal protein SNX10 as a modulator of piecemeal mitophagy, a process involving the selective degradation of mitochondrial components. They show that SNX10 localizes to early endosomes in normal conditions but associates with mitochondria-containing endosomal structures under hypoxia-mimicking stress. Loss of SNX10 leads to increased turnover of specific mitochondrial proteins, reduced mitochondrial respiration, and elevated reactive oxygen species (ROS) levels. Furthermore, zebrafish larvae lacking Snx10 exhibit reduced COX-IV levels and increased oxidative stress and cell death, demonstrating the physiological relevance of Snx10 in mitochondrial homeostasis.

These findings uncover an unexpected role for SNX10 in mitochondrial quality control and highlight its importance in cellular adaptation to metabolic stress.

Apr. 3, 2025, 5-8 PM, Oslo Science Park Innovation hangout for academia and industry

Invitation from the UiO Growth House:
Welcome to this meeting place where we want to inspire researchers and students, give them self-confidence and knowledge about the innovation process, help them build networks, and facilitate collaboration between academia and industry. This hangout is a collaboration with Oslo Cancer Cluster and Oslo Cancer Cluster Incubator.

Time and place: Apr. 3, 2025 5:00 PM – 8:00 PM, Oslo Science Park

Programme and registration form (uio.no)

Advancing the understanding of Lynch Syndrome screening and the significance of comprehensive genetic testing

Mev Dominquez Valentin
Mev Dominquez Valentin

Mev Dominquez-Valentin from the Department of Tumor Biology at the Institute for Cancer Research is senior author on a study recently published in the prestigious journal Clinical Gastroenterology and Hepatology, entitled: "Characterization of Screening Strategies for Lynch Syndrome in Latin America.” The study involves the collaborations of more than 50 investigators from 24 representative genetic cancer registries/center of 8 countries from Latin America, highlighting the significant insights we've gained into Lynch Syndrome (LS) screening methods across the region. The results emphasize challenges in hereditary cancer syndrome screening in Latin America and the need for enhanced strategies. Other OUS researchers involved in the study are Eivind Hovig, Pål Møller and Vessela Kristensen.

Call from UiO Growth House: Seed funding for innovative researchers 2025

Do you have an innovative idea based on your research for a new product or service, but need funding to develop your early-stage technology or service further?
Apply for seed funding from The UiO Growth House!
Application deadline: 20 March 2025.

OUH partner in European doctoral network consortium: The Mac4Me project is launched

The European doctoral network Mac4Me (Macrophage Targets for Metastatic Treatment) is a 48-month project that addresses both technical and social challenges in cancer metastasis, focusing on three tumour types that show poor response to current immunotherapies: neuroblastoma, breast, and prostate cancer. Mac4Me is a Horizon Europe MSCA (Marie Sklodowska-Curie Actions) Doctoral Network. The network will train 18 Doctoral Candidates to study the tumour microenvironment at metastatic sites. The project is led by a consortium of 14 partners, that includes Oslo University Hospital.
Tero Aittokallio, leader of the Computational Systems Medicine research group at the Institute for Cancer Research, is one of the supervisors, who were selected for their exceptional academic qualifications. The doctoral researcher at OUS will apply multi-modal AI algorithms to define new targets for improved immunotherapy.

Page visits: 251658