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Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs

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Publications associées (40)

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Optimization methods and objective functions for analysis of metabolic network models

Zhaleh Hosseini

Computational studies of metabolism aim to systematically analyze the metabolic behaviour of biological systems in different conditions. Genome-scale metabolic network models (GEMs) capture the connection between elements of the network by applying stoichi ...

EPFL2020

Modeling metabolic and signaling pathways in cancer cells

Maria Masid Barcon

Cancer is a leading cause of death in the world, and the mechanisms that underlie this disease are still not completely understood. As cancer develops and progresses, cells undergo a diversity of mutations that sustain their rapid proliferation and the eva ...

EPFL2020

Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes

Didier Trono, George Coukos, Marion Leleu, Evaristo Jose Planet Letschert, Alexandre Harari, Delphine Yvette L Grun, Markus Müller, Florian Huber, Laia Simo Riudalbas

Efforts to precisely identify tumor human leukocyte antigen (HLA) bound peptides capable of mediating T cell-based tumor rejection still face important challenges. Recent studies suggest that non-canonical tumor-specific HLA peptides derived from annotated ...

Nature Research2020

Molecular profiling and functional analysis of macrophage-derived tumour extracellular vesicles

Tim Beltraminelli

Extracellular vesicles (EVs) are nanosized vesicles released by virtually all cell types. Increasing data suggest that EVs function in the regulation of intercellular communication both in physiological and pathological states. In cancer biology, mounting ...

EPFL2020

Mechanical Properties and Nanomotion of BT-20 and ZR-75 Breast Cancer Cells Studied by Atomic Force Microscopy and Optical Nanomotion Detection Method

Sandor Kasas, María Inés Villalba

Cells of two molecular genetic types of breast cancer-hormone-dependent breast cancer (ZR-75 cell line) and triple-negative breast cancer (BT-20 cell line)-were studied using atomic force microscopy and an optical nanomotion detection method. Using the Pea ...

MDPI2023

Empowering Global Chemical Biology at the Dawn of the New Decade

Yimon Aye

On January 22-24, 2020, scientific luminaries across the far-flung corners of chemical biology gathered in Geneva, Switzerland, to deliver their latest and greatest discoveries in the field. Generously supported by the Swiss National Science Foundation (SN ...

AMER CHEMICAL SOC2020

Identifying genetic and dietary modulators of metabolic disorders using systems genetics

Xiaoxu Li

Long-term consumption of lipid-rich foods can contribute to common metabolic diseases and systemic low-grade inflammation. However, dietary responses and the development of non-communicable diseases are shaped by genetic factors and gene-by-environment int ...

EPFL2023

Toward a Consensus View of Mammalian Adipocyte Stem and Progenitor Cell Heterogeneity

Bart Deplancke, Pernille Yde Rainer, Radiana Ferrero

White adipose tissue (WAT) is a cellularly heterogeneous endocrine organ that not only serves as an energy reservoir, but also actively participates in metabolic homeostasis. Among the main constituents of adipose tissue are adipocytes, which arise from ad ...

ELSEVIER SCIENCE LONDON2020

Parallel and Scalable Bioinformatics

Stuart Anthony Byma

The field of genomics is likely to become the largest producer of data as a consequence of the large-scale application of next-generation sequencing technology for biological research and personalized medical treatments. The raw sequence data produced by t ...

EPFL2020

Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart

Marius Alexandru Botos Rogozsan

Zebrafish have the capacity to fully regenerate the heart after an injury, which lies in sharp contrast to the irreversible loss of cardiomyocytes after a myocardial infarction in humans. Transcriptomics analysis has contributed to dissect underlying signa ...

Nature Portfolio2023

MPGM: Scalable and Accurate Multiple Network Alignment

Matthias Grossglauser, Ehsan Kazemi

Protein-protein interaction (PPI) network alignment is a canonical operation to transfer biological knowledge among species. The alignment of PPI-networks has many applications, such as the prediction of protein function, detection of conserved network mot ...

IEEE COMPUTER SOC2020

Multiomic analysis of HER2-enriched and AR-positive breast carcinoma with apocrine differentiation and an oligometastatic course: a case report

Andrea Cavalli

Breast carcinoma is the most prevalent cancer among women globally. It has variable clinical courses depending on the stage and clinical-biological features. This case report describes a 56-year-old female with invasive breast cancer without estrogen or pr ...

FRONTIERS MEDIA SA2023

Upregulation of the ERR γ-VDAC1 axis underlies the molecular pathogenesis of pancreatitis

Johan Auwerx, Changmyung Oh

Emerging evidence suggest that transcription factors play multiple roles in the development of pancreatitis, a necroinflammatory condition lacking specific therapy. Estrogen-related receptor γ (ERRγ), a pleiotropic transcription factor, has been reported t ...

National Academy of Sciences2023

Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN

Vassily Hatzimanikatis, Meriç Ataman, Maria Masid Barcon

Altered metabolism is associated with many human diseases. Human genome-scale metabolic models (GEMs) were reconstructed within systems biology to study the biochemistry occurring in human cells. However, the complexity of these networks hinders a consiste ...

Nature Research2020

Roles of Epigenetic Dysregulation in Cancer Progression and Metastasis

Mohammad Sadegh Saghafinia

Nearly all the cells of an organism share the same DNA sequence or genome, and yet they show different phenotypes and carry out different functions. This diversity is made possible by a verity of molecular modifications acting on the DNA sequence that coll ...

EPFL2020

Neighborhood watch: tools for defining locale-dependent subproteomes and their contextual signaling activities

Yimon Aye, Yi Zhao

Transient associations between numerous organelles-e.g., the endoplasmic reticulum and the mitochondria-forge highly-coordinated, particular environments essential for cross-compartment information flow. Our perspective summarizes chemical-biology tools th ...

ROYAL SOC CHEMISTRY2020

Multi-omics reveals abundant mitochondrial genomic and circadian expression variation in the Drosophila Genetic Reference Panel

Maria Litovchenko

Modern biology rapidly generates a wealth of data,which can only be analysed computationally.Despite the variety of available data types,most of them aim to provide an answer to one question: how does genotypic diversity translates into phenotypes? This qu ...

EPFL2020

Variability of Primary Sjogren's Syndrome Is Driven by Interferon alpha and Interferon alpha Blood Levels Are Associated With the Class II HLA-DQ Locus

Jacques Fellay, Christian Axel Wandall Thorball

Objective Primary Sjogren's syndrome (SS) is the second most frequent systemic autoimmune disease, affecting 0.1% of the general population. To characterize the molecular and clinical variabilities among patients with primary SS, we integrated transcriptom ...

WILEY2022

Gender medicine and oncology: report and consensus of an ESMO workshop

Jacques Fellay

Background: The importance of sex and gender as modulators of disease biology and treatment outcomes is well known in other disciplines of medicine, such as cardiology, but remains an undervalued issue in oncology. Considering the increasing evidence for t ...

OXFORD UNIV PRESS2019

Azide-Containing Hypervalent Iodine Reagents for Biomolecules Functionalization

Raphaël Michel Henri Simonet-Davin

The goal of my PhD was the development of a new method for unselective surface labeling, not substrate-specific, that would give access to direct visualization of any surface interactions. In order to achieve this challenging goal, we wanted to develop a g ...

EPFL2022