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Thesis topic proposal
 
Zoltán Varga
Detection, isolation and characterization of extracellular vesicles

THESIS TOPIC PROPOSAL

Institute: Eötvös Loránd University, Budapest
chemistry
György Hevesy Doctoral School of Chemistry

Thesis supervisor: Zoltán Varga
Location of studies (in Hungarian): Research Centre for Natural Sciences
Abbreviation of location of studies: MTA


Description of the research topic:

Extracellular vesicles (EVs) are key players of the intercellular communication, but they received attention only in recent years. EVs are phospholipid bilayer enclosed structures that can carry proteins and nucleic acids, but they are also capable of serving the secretion of toxic molecules. The idea of using EVs as biomarkers of various diseases has developed in parallel with the recognition of their physiological role.

Due to the functional and morphological heterogeneity of EVs, their separation from complex body fluids, and the detection of disease specific EVs face many challenges. Novel size exclusion and affinity chromatography can be utilized to separate the EVs with diagnostic potential, which supplemented with thorough biochemical and structural characterization can serve the identification of EV-based disease-markers.

The task of the PhD student within this research topic is the isolation of EVs from various body fluids with beyond-state-of-the-art affinity chromatography and the biochemical and physico-chemical description of the vesicle samples with analytical and structural characterization methods (including ATR-FTIR and SAXS).

Required language skills: English (fluent)
Further requirements: 
Basic knowledge in colloid chemsitry and biochemistry, good communication skills, both oral and written english, ability to work in a group, as well as independently

Number of students who can be accepted: 1

Deadline for application: 2017-05-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )