Neuro-SysMed Seminar – Bioinformatics

(Engelsk tekst videre siden seminarene er internasjonale og undervisningsspråket på seminarene er engelsk.)

Topic: Bioinformatics

Title: Leveraging million single-cell data for clinical trials and precision medicine in neurological diseases

Speaker: Dimitros Kleftogiannis

Place: The auditorium in Armauer Hansens Hus (campus Haukeland University Hospital, Bergen)

Time: Wednesday September 11, 2024, at 11:30–13:00 (lunch 11:30–12:00).

Registration: please use this link.

Abstract: Recent advancements in single-cell omics technologies have profoundly enhanced our understanding of complex cellular systems, offering broad applications in both basic science and clinical research. Techniques such as single-cell RNA sequencing (scRNA-seq) and high-dimensional cytometry, including Spectral Flow Cytometry, Mass Cytometry by Time-of-Flight (CyTOF), and Imaging Mass Cytometry (IMC), are emerging as crucial tools for refining diagnostic and therapeutic strategies in neurological diseases. However, the analysis of high-dimensional single-cell data presents significant challenges, necessitating the development of innovative analytical approaches. This presentation will begin by providing an overview of key single-cell technologies and the common challenges encountered when analyzing large-scale single-cell datasets. We will then illustrate the application of advanced computational techniques used to analyze over 100 million single cells from patients with Relapsing-Remitting Multiple Sclerosis (RRMS) who participated in the RAM-MS clinical trial. The discussion will focus on the short-term and long-term impacts of Autologous Hematopoietic Stem Cell Transplantation (HSCT) on the immune profiles of RRMS patients, highlighting potential avenues for identifying biomarkers predictive of clinical outcomes.

Short bio: Dimitrios Kleftogiannis is a Senior Bioinformatician and Co-Leader of the Bioinformatics Node at the Neuro-SysMed Centre for Clinical Treatment Research. In his current role, he specializes in the analysis of single-cell data from patients with multiple sclerosis, contributing towards the identification of predictive biomarkers. Dimitrios has extensive experience in the analysis of omics datasets across various technologies and is the developer of several innovative bioinformatics methods and tools. Before joining Neuro-SysMed, he held research positions at the Centre for Cancer Biomarkers (CCBIO) at the University of Bergen, the Agency for Science Technology and Research (A*STAR) in Singapore, and the Institute of Cancer Research (ICR) in London, UK.

Langage: English