Research output per year
Research output per year
Personal profile
Research interests
Daniela Ungureanu is a Co-PI at the Medical Systems Biology Group (Taipale group) at the Biomedicum, Helsinki. She received her PhD in Molecular Immunology at the University of Tampere. During her postdoctoral training she transitioned to structural biology and worked on JAK pseudokinases structural and functional characterization and their role in myeloproliferative diseases in the group of Prof. Olli Silvenoinen at the University of Tampere. In 2014 she started her own independent research group (Cancer Signaling) as Academy of Finland Research Fellow working on structural and functional characterization of ROR pseudokinases during cancer development at the University of Tampere.
In 2020, she started as a Co-PI in Taipale group at the Applied Tumor Genomics RPU in Biomedicum, Helsinki. We take a systems-biology approach to understand how tissue-specific factors collaborate with oncogenic signals to drive cell proliferation in cancer cells. She is also involved in several collaboration projects where the drug testing platform developed at FIMM has been applied to uncover novel drug vulnerabilities in cancer cells.
Education/Academic qualification
Molecular and Cellular Biology , Docent (Associate Prof.), Structural and functional characterization of JAK pseudokinases , University of Tampere
Award Date: 13 Jul 2013
Molecular Immunology , PhD, Post-translational modifications in JAK-STAT pathway, University of Tampere
Award Date: 15 Dec 2005
External positions
Cancer Signaling , Tampere University
Fields of Science
- 3111 Biomedicine
- Cancer Genetics, Molecular biology, Cell biology
- Pseudokinases
- 318 Medical biotechnology
International and National Collaboration
Publications and projects within past five years.
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A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery
Dini, A., Barker, H., Piki, E., Sharma, S., Raivola, J., Murumägi, A. & Ungureanu, D., 2024, In: Nature Chemical Biology. 21 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Molecular and functional profiling of primary normal ovarian cells defines insights into cancer development and drug responses
Piki, E., Dini, A., Rantanen, F., Bentz, F., Paavolainen, L., Barker, H., Raivola, J., Hirasawa, A., Kallioniemi, O., Murumägi, A. & Ungureanu, D., 19 Dec 2024, In: Molecular Therapy Oncology. 32, 4, 15 p., 200903.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Drug response profiles in patient-derived cancer cells across histological subtypes of ovarian cancer: real-time therapy tailoring for a patient with low-grade serous carcinoma
Murumägi, A., Ungureanu, D., Khan, S., Arjama, M., Välimäki, K., Ianevski, A., Ianevski, P., Bergstrom, R., Dini, A., Kanerva, A., Koivisto-Korander, R., Tapper, J., Lassus, H., Loukovaara, M., Mägi, A., Hirasawa, A., Aoki, D., Pietiäinen, V., Pellinen, T. & Butzow, R. & 2 others, , 16 Feb 2023, In: British Journal of Cancer. 128, 4, p. 678–690 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
ROR1-STAT3 signaling contributes to ovarian cancer intra-tumor heterogeneity
Piki, E., Dini, A., Raivola, J., Salokas, K., Zhang, K., Varjosalo, M., Pellinen, T., Välimäki, K., Veskimäe, K. T., Staff, S., Hautaniemi, S., Murumägi, A. & Ungureanu, D., 3 Jul 2023, In: Cell death discovery . 9, 1, 10 p., 222.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Cellular thermal shift assay (CETSA) for determining the drug binding affinity using Ba/F3 clones stably expressing receptor pseudokinases
Karvonen, H., Raivola, J. & Ungureanu, D., 2022, Pseudokinases. Jura, N. & Murphy, J. (eds.). Elsevier, Vol. 667. p. 339-363 25 p. (Methods In Enzymology).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
Activities
- 1 Supervision of other thesis (Master's, Licentiate)
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Establishment of representative ex vivo patient-derived ovarian cancer models for personalized therapy
Murumägi, A. (Co-supervisor) & Ungureanu, D. E. (Co-supervisor)
26 Jan 2022Activity: Examination types › Supervision of other thesis (Master's, Licentiate)