Anton A. Buzdin

1. JOVCHEVSKA, Ivana, ŠAMEC, Neja, URLEP, Žiga, VRANIČ, Andrej, MATOS, Boštjan, LIMBAECK STANIC, Clara, MUYLDERMANS, Serge, MYRES, Michael P., BUZDIN, Anton A., PETROV, Ivan, KOMEL, Radovan. Nanobody-based approach for the selection of novel differentially expressed proteins in glioblastoma multiforme and their potential use as biomarkers for class prediction. In: Molecular life of stem cells [2016] : post-transcriptional regulation and (epi)genomic engineering in stem cells : [abstract book]. 1st International Conference Molecular Life of Stem Cells : post-transcriptional regulation and (epi)genomic engineering in stem cells, Ljubljana 29th September - 1st October 2016. [S. l.: s. n., 2016?]. Str. 57. [COBISS.SI-ID 32882393]

2. JOVCHEVSKA, Ivana, ŠAMEC, Neja, URLEP, Žiga, VRANIČ, Andrej, MATOS, Boštjan, LIMBAECK STANIC, Clara, MUYLDERMANS, Serge, MYERS, Michael P., BUZDIN, Anton A., PETROV, Ivan, KOMEL, Radovan. Differentially expressed proteins in glioblastoma multiforme identified with a nanobody-based anti-proteome approach and confirmed by OncoFinder as possible tumor-class predictive biomarker candidates. Oncotarget. Jul. 2017, vol. 8, no. 27, str. 44141-44158. ISSN 1949-2553. http://www.impactjournals.com/oncotarget/index.php?journal=oncotarget&page=article&op=view&path[]=17390&pubmed-linkout=1, DOI: 10.18632/oncotarget.17390. [COBISS.SI-ID 33233113]

3. JOVCHEVSKA, Ivana, ZOTTEL, Alja, ŠAMEC, Neja, MLAKAR, Jernej, MUYLDERMANS, Serge, BUZDIN, Anton A., KOMEL, Radovan, et al. Combination of nanobody proteomics and OncoFinder bioinformatics in glioblastoma research and targeting. In: Brain tumors from biology to therapy : abstract book, June 21-23, 2018, Warsaw. [S. l.: s. n., 2018]. Str.49. [COBISS.SI-ID 33825241]

4. JOVCHEVSKA, Ivana, ZOTTEL, Alja, ŠAMEC, Neja, MLAKAR, Jernej, ŠRIBAR, Jernej, KRIŽAJ, Igor, MUYLDERMANS, Serge, BUZDIN, Anton A., KOMEL, Radovan. Nanobodies and OncoFinder : a combined approach for identification of molecular changes in glioblastoma. In: Book of abstracts : theme: cancer free world - possible or not. [S. l.: Magnus Group, 2018]. Str. 66. [COBISS.SI-ID 33953497]

5. JOVCHEVSKA, Ivana, ZOTTEL, Alja, ŠAMEC, Neja, MLAKAR, Jernej, ŠRIBAR, Jernej, SOROKIN, Maxim, NIKITIN, Daniil, BUZDIN, Anton A., KOMEL, Radovan. High FREM2 gene and protein expression are associated with favorable prognosis of IDH-WT glioblastomas. In: HRASTAR, Barbara (ed.), MLINAR, Mateja (ed.). Abstract book. International Conference Brain Tumors: from bench to clinic, 26. 11. 2019, Ljubljana. [S. l.: s. n., 2019]. Str. 26. [COBISS.SI-ID 34601689]

6. JOVCHEVSKA, Ivana, ZOTTEL, Alja, ŠAMEC, Neja, MLAKAR, Jernej, SOROKIN, Maxim, NIKITIN, Daniil, BUZDIN, Anton A., KOMEL, Radovan. High FREM2 gene and protein expression are associated with favorable prognosis of IDH-WT glioblastomas. Cancers. 2019, vol. 11, str. 1-18. ISSN 2072-6694. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721429/pdf/cancers-11-01060.pdf, Repository of the University of Ljubljana – RUL , DOI: 10.3390/cancers11081060. [COBISS.SI-ID 34433753]
project: P1-0390, Z3-1869; funder: Slovenian Research Agency
project: No. 146 [TRANS-GLIOMA]; funder: Interreg EC

7. JOVCHEVSKA, Ivana, ŠAMEC, Neja, ZOTTEL, Alja, MLAKAR, Jernej, SOROKIN, M, BUZDIN, Anton A., KOMEL, Radovan. Increased FREM2 gene and protein expression is associated to glioblastoma malignant progression and recurrence. In: Program and abstracts : (plenaries, orals and posters). 10th Brain Tumor Meeting, May 23 - 24, 2019, Berlin, Germany. [S. l.: s. n., 2019]. Str. 60-61. https://www.braintumor-berlin.de/sites/braintumor-berlin.de/files/images/Program%202019%20f%C3%BCr%20Druck.pdf. [COBISS.SI-ID 34350553]

8. ZOTTEL, Alja, ŠAMEC, Neja, KUMP, Ana, RASPOR DALL'OLIO, Lucija, PUŽAR DOMINKUŠ, Pia, ROMIH, Rok, HUDOKLIN, Samo, MLAKAR, Jernej, NIKITIN, Daniil, SOROKIN, Maxim, BUZDIN, Anton A., JOVCHEVSKA, Ivana, KOMEL, Radovan. Analysis of miR-9-5p, miR-124-3p, miR-21-5p, miR-138-5p, and miR-1-3p in glioblastoma cell lines and extracellular vesicles. International journal of molecular sciences. 2020, vol. 21, iss. 22, str. 1-22, ilustr. ISSN 1422-0067. https://www.mdpi.com/1422-0067/21/22/8491/htm, Repository of the University of Ljubljana – RUL , DOI: 10.3390/ijms21228491. [COBISS.SI-ID 36976899]
project: Z3-1869; funder: Slovenian Research Agency; Young Researcher Grant from SRA
project: 2014-2020 V-A It-Slo Ref. no. 146 Project TRANS-GLIOMA; funder: Interreg EC

9. NEGRO, Giulia, ASCHENBRENNER, Bertram, KRANJC BREZAR, Simona, ČEMAŽAR, Maja, CÖR, Andrej, GAŠLJEVIĆ, Gorana, SOROKIN, Maxim, BUZDIN, Anton A., CALLARI, Maurizio, KVITSARIDZE, Irma, et al. Molecular heterogeneity in breast carcinoma cells with increased invasive capacities. Radiology and oncology. [Print ed.]. 2020, vol. 54, no. 1, str. 103-118, xi, ilustr. ISSN 1318-2099. http://www.dlib.si/details/URN:NBN:SI:DOC-YP9R2K8I, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.2478/raon-2020-0007. [COBISS.SI-ID 3514235]

10. SOROKIN, Maxim, RAEVSKIY, Mikhail, ZOTTEL, Alja, ŠAMEC, Neja, SKOBLAR VIDMAR, Marija, MATJAŠIČ, Alenka, ZUPAN, Andrej, MLAKAR, Jernej, SUNTSOVA, Maria, KUZMIN, Denis V., BUZDIN, Anton A., JOVCHEVSKA, Ivana. Large-scale transcriptomics-driven approach revealed overexpression of CRNDE as a poor survival prognosis biomarker in glioblastoma. Cancers. Jul. 2021, vol. 13, iss. 14, str. 1-18, ilustr. ISSN 2072-6694. https://www.mdpi.com/2072-6694/13/14/3419, Repository of the University of Ljubljana – RUL , DOI: 10.3390/cancers13143419. [COBISS.SI-ID 69980163]
project: Z3-1869 Postdoctoral research project
project: BI-RU 19/20-005; funder: Slovenia-Russian federation

11. ASCHENBRENNER, Bertram, NEGRO, Giulia, SAVIC, Dragana, SOROKIN, Maxim, BUZDIN, Anton A., GANSWINDT, Ute Maria, ČEMAŽAR, Maja, SERŠA, Gregor, SKVORTSOV, Sergej, SKVORTSOVA, Ira. Simvastatin is effective in killing the radioresistant breast carcinoma cells. Radiology and oncology. [Print ed.]. Sep. 2021, vol. 55, no. 3, str. 305-316, vi. ISSN 1318-2099. https://sciendo.com/article/10.2478/raon-2021-0020, DiRROS - Digital repository of Slovenian research organizations, http://www.dlib.si/details/URN:NBN:SI:DOC-ED55M7AY, DOI: 10.2478/raon-2021-0020. [COBISS.SI-ID 78947843]

12. ZOTTEL, Alja, JOVCHEVSKA, Ivana, ŠAMEC, Neja, KUMP, Ana, DALL’OLIO, L. Rapor, PUŽAR DOMINKUŠ, Pia, ROMIH, Rok, HUDOKLIN, Samo, MLAKAR, Jernej, NIKITIN, D., SOROKIN, M, BUZDIN, Anton A., KOMEL, Radovan. VIM, miR-124-3p and miR-9-5p areoverexpressed in small extracellular vesicles ofglioblastoma cells. FEBS open bio. 2021, vol. 11, suppl. 1, str. 428. ISSN 2211-5463. https://febs.onlinelibrary.wiley.com/doi/epdf/10.1002/2211-5463.13205. [COBISS.SI-ID 90580995]

13. BUZDIN, Anton A. (editor). Molecular Pathway Analysis using high-throughput OMICS molecular data : analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data. [Chantilly]: Elsevier, [2024]. 1 spletni vir (1 datoteka PDF (507 str.)), ilustr. ISBN 978-0-443-15569-7, ISBN 0-443-15569-0, ISBN 978-0-443-15568-0. https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=31745306. [COBISS.SI-ID 217995523]

14. BUZDIN, Anton A., WANG, Ye, JOVCHEVSKA, Ivana, KARADEMIR YÍLMAZ, Betül. Molecular pathway approach in biology and fundamental medicine. In: BUZDIN, Anton A. (ed.). Molecular Pathway Analysis using high-throughput OMICS molecular data : analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data. [Chantilly]: Elsevier, [2024]. Str. 353-383, tabele. ISBN 978-0-443-15569-7, ISBN 0-443-15569-0, ISBN 978-0-443-15568-0. https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=31745306. [COBISS.SI-ID 218061827]

15. BUZDIN, Anton A., KUZMIN, Denis V., JOVCHEVSKA, Ivana. Molecular pathway approach in biotechnology. In: BUZDIN, Anton A. (ed.). Molecular Pathway Analysis using high-throughput OMICS molecular data : analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data. [Chantilly]: Elsevier, [2024]. Str. 339-352, tabele. ISBN 978-0-443-15569-7, ISBN 0-443-15569-0, ISBN 978-0-443-15568-0. https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=31745306. [COBISS.SI-ID 218060547]