Colorectal cancer (CRC) is one of the leading causes of cancer related death in Hungary and in the Western countries. Despite the progress in understanding colorectal tumorigenesis, this disease still represents an outstanding health problem. Recent reports have proved that not only the tumor cells, but also the stromal cells critically contribute to the tumor progression and patient survival.
The 5-year patient survival is extremely low in pancreatic and lung cancers, partially due to the late diagnosis and the lack of early signs of these diseases.
Our mission is to identify novel communication mechanisms between tumor cells and the stroma that can form the basis of future therapeutic interventions in CRC, pancreatic ductal adenocarcinoma (PDAC) and lung cancer. Furthermore, we aim at identifying novel early biomarkers for lung and pancreatic cancers. One of our interests is the function of the extracellular vesicles that represent a novel form of cell-to-cell communication.
We use a large array of state-of-the-art methods to answer our biological questions, such as the patient-derived organoid technology and the genome editing CRISPR-Cas9 method. Our research group is financed by grants from the Semmelweis University and from the National Research, Development and Innovation Office (Hungary).
WE ARE LOOKING FOR POSTDOCTORAL RESEARCHERS AND PhD STUDENTS!
Join us and be part of an exciting research project! We are looking for talented young people and experienced professionals who are interested in cutting-edge applications of artificial intelligence, bioinformatics and complex human organoid technologies.
Where? Semmelweis University, Budapest, Hungary, Institute of Biophysics and Radiobiology (Prof. Tamás Hegedűs) and Institute of Genetics, Cell and Immunobiology (Dr. Zoltán Wiener)
Project: Artificial intelligence-based mini-protein design for targeting immunosuppression in cancer
We are looking for post-doctoral researchers and PhD students for experimental research!
Required: biology, pharma, bioengineer MSc or MD
Experience in the following areas is an advantage:
- Molecular biology
- Cell culture
- Protein expression and purification
- Phage surface display
We are looking for young PhD researchers for in silico research tasks!
Essential skills: Linux, bash, Python
It is an advantage if you are familiar with the following areas:
- High Performance Computing (HPC)
- High-performance computing (HPC)
- 3D bioinformatics
Why to join us?
Inspiring scientific environment, supportive team, contribution to breakthrough research results
How to apply?
Send your CV and at least one reference to the following e-mail address:
This email address is being protected from spambots. You need JavaScript enabled to view it.
Further information:
Deadline: 31 January, 2025. We look forward to your application!
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Dr. Zoltán Wiener, PhD, Associate Professor |
| Dr. Szabolcs Hajdó MD, PhD student |
| Dr. Idan Carmi MD, PhD student |
| Dr. Anikó Zeöld, PhD, assistant professor |
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Undergraduate students |
Adrián Orosz, MD-PhD student Réka Kormány, Pharma student Zsófia Simon, MD student |
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Former members |
Zsuzsanna Szvicsek, PhD (2021) Ádám Oszvald, PhD (2021) Gyöngyvér Orsolya Sándor, PhD (2022) Andrea Kelemen, PhD (2022) András Áron Soós (2023) Regina Szász, MSc student Maya Litner, MD student Kata Barabás, MD student Dániel Szabó, MD student Iván Seress, MD student Ádám Nagy, MD István Kovács, MD Lili Szabó, MSc Márton Pápai, MSc Anna Kiss, MD |
IFITM1 expression determines extracellular vesicle uptake in colorectal cancer. Cell Mol Life Sci. 2021 Oct 5. doi: 10.1007/s00018-021-03949-w. IF: 9.261
Kivelä R, Salmela I, Nguyen YH, Petrova TV, Koistinen HA, Wiener Z, Alitalo K (2016). The transcription factor Prox1 is essential for satellite cell differentiation and muscle fibre-type regulation. Nat Commun, 7, 13124. IF: 11.329.
Sodar B, Kittel A, Paloczi K, Vukman K, Osteikoetxea X, Szabó-Taylor K, Nemeth A, Sperlágh B, Baranyai T, Giricz Z, Wiener Z, Turiak L, Drahos L, Pallinger E, Vekey K, Ferdinandy P, Falus A, Buzas EI (2016). Low-density lipoprotein mimics blood plasma-derived exosomes and microvesicles during isolation and detection. Sci Rep, 6, 24316. IF: 5.578
