Regulated IRE1α-dependent decay (RIDD)-mediated reprograming of lipid metabolism in cancer (Nature Communications)
Our new paper in Nature Communications, involving functional transcriptomic analysis with the e-NIOS BioInfoMiner platform. BioInfoMiner enables an automated data, but also biology-driven interpretation of omic data, making evident which are the crucial genes driving the phenotypes and how they are interacting.
https://www.nature.com/articles/s41467-022-30159-0
Almanza A, Mnich K, Blomme A, Robinson CM, Rodriguez-Blanco G, Kierszniowska S, McGrath EP, Le Gallo M, Pilalis E, Swinnen JV, Chatziioannou A, Chevet E, Gorman AM, Samali A. Regulated IRE1α-dependent decay (RIDD)-mediated reprograming of lipid metabolism in cancer. Nat Commun. 2022 May 6;13(1):2493. doi: 10.1038/s41467-022-30159-0. PMID: 35524156; PMCID: PMC9076827.
Integration of Raman spectra with transcriptome data in glioblastoma multiforme defines tumour subtypes and predicts patient outcome
Glioblastoma Multiforme is the most aggressive form of primary brain tumors.
Raman spectroscopy is an imaging technique that has been applied to assess molecular compositions of living cells to characterize cell types and states. However, owing to the diverse molecular species in cells and challenges of assigning peaks to specific molecules, it had not yet been clear how to interpret cellular Raman spectra.
In our new publication in the Journal of Cellular and Molecular Medicine we provide firm evidence that cellular Raman spectra and transcriptomic profiles of glioblastoma can be computationally connected and thus interpreted.
From these analyses, we extract a minimal gene expression signature associated with specific RS profiles and predictive of disease outcome.
This study provides the first association between gene expression and Raman profiles associated with tumor phenotypes (e.g. immune infiltrate). The approach presented in this study could therefore pave the way for near real-time intraoperative tumor characterization and could represent a relevant tool for helping in patient management at a very early stage.
Read the publication here.
Announcement of BioS Online Seminars: Digital Skills on Computational Biology for Health Professionals, 15-16 October 2020
Within the framework of the Erasmus days, the BioS project offers further online seminars on modules 1 to 3 to deepen and apply the knowledge acquired in the course. We would like to invite you to join us.
https://www.erasmusdays.eu/event/bios-project/
To participate in the BioS Online Seminar, please register under:
https://docs.google.com/forms/d/e/1FAIpQLSfBTZyQs3pFRskynuEkocOzqzW_vc5TeTodxWDlG375VvrqDg/viewform
After registration, you receive the direct link to the online seminar.
The BioS project offers three online seminars on the topics:
- INTRODUCTION TO BIOINFORMATICS
- COMMERCIAL PERSONALIZED GENOMICS SERVICES IN PATIENT CARE
- COMPUTATIONAL STATISTICS FOR CLINICAL DOCTORS
The online seminars give you the opportunity to acquire valuable knowledge for your professional career, to discuss live with experts highly topical issues and to connect with peer learners all around Europe.
Online Seminar 1:
Systemic interpretation of data from different –omic layers and derivation of diagnostic, personalized signatures of molecular biomarkers, assisting medical decision.
e-nios, module 1, Thursday 15th of October, 13.00 – 15.00 CEST
In this online seminar the audience is introduced to the secrets of multi-omic analysis and robust systemic interpretation. This process manages to reveal those active, functional, molecular modules, providing consistent, mechanistic understanding of the myriad of interactions occurring, and enables in-silico extraction of signatures of molecular biomarkers, for a more accurate and robust clinical diagnosis/prognosis. The interpretation of the various types of omics data streams is effected through the web platform BioInfoMiner of e-NIOS, integrating the results of diverse analytic workflows showcasing how to extract predictive signatures for several diseases, without requiring advanced programming skills. Two examples of the data-driven interpretation and extraction of diagnostic signatures both at the gene and variant level will be performed on case studies including data from patients suffering from different cancer types.
Online Seminar 2:
BIOS PROJECT- COMPUTATIONAL STATISTICS FOR CLINICAL DOCTORS – HOW TO EVALUATE DIAGNOSTIC INFORMATION?
BGU, module 2, Friday, 16th of October,
10.00 – 12.00 CEST
In this online seminar, the theoretical material taught during the BioS course is transformed into practical and applicable skills by working with contemporary examples. You will learn how to use predictive methods, such as COVID19 PCR tests, how to interpret results, and how evidence affects the test credibility.
Online Seminar 3:
BIOS PROJECT – COMMERCIAL PERSONALIZED GENOMICS SERVICES IN PATIENT CARE – THE ROLE OF TUMOR GENETIC PROFILING, MOLECULAR IMAGING AND TARGETED THERAPIES IN THE TREATMENT OF NON-SMALL CELL LUNG CANCER
GOC, module 3, Friday, 16th of October,
13.00 – 15.00 CEST
In this online seminar, the role of tumor genetic profiling, molecular imaging and targeted therapies in the treatment of non-small cell lung cancer will be presented.
Registration
To participate in the BioS Online Seminar, please register under:
https://docs.google.com/forms/d/e/1FAIpQLSfBTZyQs3pFRskynuEkocOzqzW_vc5TeTodxWDlG375VvrqDg/viewform
After registration, you receive the direct link to the online seminar.