TY - JOUR AU - Gráf, Alexandra AU - Enyedi, Márton Zsolt AU - Pinter, Lajos AU - Kriston-Pal, Eva AU - Jaksa, Gabor AU - Bálind, Árpád AU - Ezer, Eva AU - Horváth, Péter AU - Sükösd, Farkas AU - Kiss, Ernő AU - Haracska, Lajos TI - The Combination of Single-Cell and Next-Generation Sequencing Can Reveal Mosaicism for BRCA2 Mutations and the Fine Molecular Details of Tumorigenesis JF - CANCERS J2 - CANCERS VL - 13 PY - 2021 IS - 10 PG - 15 SN - 2072-6694 DO - 10.3390/cancers13102354 UR - https://m2.mtmt.hu/api/publication/32058695 ID - 32058695 N1 - HCEMM-BRC Mutagenesis and Carcinogenesis Research Group, Institute of Genetics, Biological Research Centre, Szeged, 6726, Hungary Delta Bio 2000 Ltd, Szeged, 6726, Hungary Lendület Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Szeged, 6726, Hungary Department of Clinical Oncology, Teaching Hospital Mór Kaposi, Kaposvár, 7400, Hungary Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00014, Finland Department of Pathology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary Export Date: 31 August 2021 Correspondence Address: Haracska, L.; HCEMM-BRC Mutagenesis and Carcinogenesis Research Group, Hungary; email: haracska.lajos@brc.hu LA - English DB - MTMT ER - TY - JOUR AU - Becsky, Dániel AU - Szabó, Kitti AU - Fazekas, Szuzina AU - Gajdos, Tamás AU - Bartos, Zsuzsa AU - Bálind, Árpád AU - Dux, László AU - Horváth, Péter AU - Erdélyi, Miklós AU - Homolya, László AU - Keller-Pintér, Anikó TI - Syndecan-4 Modulates Cell Polarity and Migration by Influencing Centrosome Positioning and Intracellular Calcium Distribution JF - FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY J2 - FRONT CELL DEV BIOL VL - 8 PY - 2020 PG - 17 SN - 2296-634X DO - 10.3389/fcell.2020.575227 UR - https://m2.mtmt.hu/api/publication/31634527 ID - 31634527 LA - English DB - MTMT ER - TY - JOUR AU - Hollandi, Réka AU - Szkalisity, Ábel AU - Tóth, Tímea AU - Tasnádi, Ervin Áron AU - Molnár, Csaba AU - Mathe, Botond AU - Grexa, István AU - Molnár, József AU - Bálind, Árpád AU - Gorbe, Mate AU - Kovács, Mária AU - Migh, Ede AU - Goodman, Allen AU - Balassa, Tamás AU - Koós, Krisztián AU - Wang, Wenyu AU - Caicedo, Juan Carlos AU - Bara, Norbert AU - Kovács, Ferenc AU - Paavolainen, Lassi AU - Danka, Tivadar AU - Kriston, András AU - Carpenter, Anne Elizabeth AU - Smith, Kevin AU - Horváth, Péter TI - nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer JF - CELL SYSTEMS J2 - CELL SYST VL - 10 PY - 2020 IS - 5 SP - 453 EP - 458 PG - 6 SN - 2405-4712 DO - 10.1016/j.cels.2020.04.003 UR - https://m2.mtmt.hu/api/publication/31334623 ID - 31334623 AB - Single-cell segmentation is typically a crucial task of image-based cellular analysis. We present nucleAIzer, a deep-learning approach aiming toward a truly general method for localizing 2D cell nuclei across a diverse range of assays and light microscopy modalities. We outperform the 739 methods submitted to the 2018 Data Science Bowl on images representing a variety of realistic conditions, some of which were not represented in the training data. The key to our approach is that during training nucleAIzer automatically adapts its nucleus-style model to unseen and unlabeled data using image style transfer to automatically generate augmented training samples. This allows the model to recognize nuclei in new and different experiments efficiently without requiring expert annotations, making deep learning for nucleus segmentation fairly simple and labor free for most biological light microscopy experiments. It can also be used online, integrated into CellProfiler and freely downloaded at www.nucleaizer.org. A record of this paper's transparent peer review process is included in the Supplemental Information. LA - English DB - MTMT ER - TY - JOUR AU - Becsky, Dániel AU - Fazekas, Szuzina AU - Bálind, Árpád AU - Horváth, Péter AU - Dux, László AU - Keller-Pintér, Anikó TI - Myoblast Migration and Directional Persistence Affected by Syndecan-4-Mediated Tiam-1 Expression and Distribution JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 21 PY - 2020 IS - 3 PG - 12 SN - 1661-6596 DO - 10.3390/ijms21030823 UR - https://m2.mtmt.hu/api/publication/31145816 ID - 31145816 N1 - Department of Biochemistry, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, H-6726, Hungary Export Date: 9 March 2020 Correspondence Address: Keller-Pinter, A.; Department of Biochemistry, Faculty of Medicine, University of SzegedHungary; email: keller.aniko@med.u-szeged.hu Funding details: GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00037, GINOP-2.3.2-15-2016-00026 Funding details: 2018-342 Funding details: GINOP-2.3.2-15-2016-00040, EFOP-3.6.2-16-2017-00006 Funding details: EMMI:13725-2/2018/INTFIN Funding details: Magyar Tudományos Akadémia, MTA Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI, K 132446 Funding text 1: Funding: This research was supported by the National Research, Development and Innovation Office of Hungary (grant numbers: GINOP-2.3.2-15-2016-00040 (MYOTeam), EFOP-3.6.2-16-2017-00006, NKFI K 132446). The work was further supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences (to A.K.-P.), UNKP-19-4-SZTE-23 New National Excellence Program of the Ministry for Innovation and Technology Sciences (to A.K.-P.), and was conducted with support from the Szeged Scientists Academy under the sponsorship of the Hungarian Ministry of Human Capacities (grant number EMMI:13725-2/2018/INTFIN, to S.G.-N.). P.H. acknowledge support from the LENDULET-BIOMAG Grant (grant number 2018-342) and the European Regional Development Funds (grant numbers: GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00026, and GINOP-2.3.2-15-2016-00037). LA - English DB - MTMT ER - TY - JOUR AU - Gyukity-Sebestyén, Edina AU - Harmati, Mária AU - Dobra, Gabriella AU - Németh, István Balázs AU - Mihály, Johanna AU - Zvara, Ágnes AU - Hunyadi-Gulyás Éva, Csilla AU - Katona, Róbert László AU - Nagy, István AU - Horváth, Péter AU - Bálind, Árpád AU - Szkalisity, Ábel AU - Kovács, Mária AU - Pankotai, Tibor AU - Borsos, Barbara Nikolett AU - Erdélyi, Miklós AU - Szegletes, Zsolt AU - Veréb, Zoltán AU - Buzás, Edit Irén AU - Kemény, Lajos AU - Bíró, Tamás AU - Buzás, Krisztina TI - Melanoma-Derived Exosomes Induce PD-1 Overexpression and Tumor Progression via Mesenchymal Stem Cell Oncogenic Reprogramming JF - FRONTIERS IN IMMUNOLOGY J2 - FRONT IMMUNOL VL - 10 PY - 2019 PG - 22 SN - 1664-3224 DO - 10.3389/fimmu.2019.02459 UR - https://m2.mtmt.hu/api/publication/30898978 ID - 30898978 N1 - Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Export Date: 14 January 2020 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of SciencesHungary; email: kr.buzas@gmail.com Chemicals/CAS: aggrecanase 1, 147172-61-0; alpha tubulin, 78769-62-7; carbonate dehydratase, 9001-03-0; cathepsin B, 9047-22-7; cathepsin D, 9025-26-7; lipocortin 5, 111237-10-6; mitogen activated protein kinase kinase, 142805-58-1; protein bcl 2, 219306-68-0; protein kinase B, 148640-14-6 Funding details: GINOP-2.2.1-15-2017-00052, 11493, GINOP-2.3.2-15-2016-00015 Funding details: NKP-19-4 Funding details: GINOP-2.3.2-15-2016-00036, KTIA_13_NAP-A-I/14 Funding text 1: The authors wish to thank G?bor Braunitzer and Csaba Vizler, for scientific discussion, Annam?ria Marton for technical issues and adaptation of MSC isolation protocol, Lilla Pint?r for technical support. Funding. This work was in part supported by the National Research, Development and Innovation Fund of Hungary, financed under the NKFI-6-K funding scheme (11493 project), GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-15-2017-00052, J?nos Bolyai Research Scholarship of the Hungarian Academy of Sciences ?NKP-19-4 New National Excellence Program of the Ministry for Innovation and Technology and University of Szeged Open Access Fund. The dSTORM experiments were funded by the Hungarian Brain Research Program (KTIA_13_NAP-A-I/14) and the GINOP-2.3.2-15-2016-00036. Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Export Date: 17 January 2020 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of SciencesHungary; email: kr.buzas@gmail.com Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Export Date: 28 January 2020 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of SciencesHungary; email: kr.buzas@gmail.com Chemicals/CAS: aggrecanase 1, 147172-61-0; alpha tubulin, 78769-62-7; carbonate dehydratase, 9001-03-0; cathepsin B, 9047-22-7; cathepsin D, 9025-26-7; lipocortin 5, 111237-10-6; mitogen activated protein kinase kinase, 142805-58-1; protein bcl 2, 219306-68-0; protein kinase B, 148640-14-6 Funding details: GINOP-2.2.1-15-2017-00052, 11493, GINOP-2.3.2-15-2016-00015 Funding details: NKP-19-4 Funding details: GINOP-2.3.2-15-2016-00036, KTIA_13_NAP-A-I/14 Funding text 1: The authors wish to thank G?bor Braunitzer and Csaba Vizler, for scientific discussion, Annam?ria Marton for technical issues and adaptation of MSC isolation protocol, Lilla Pint?r for technical support. Funding. This work was in part supported by the National Research, Development and Innovation Fund of Hungary, financed under the NKFI-6-K funding scheme (11493 project), GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-15-2017-00052, J?nos Bolyai Research Scholarship of the Hungarian Academy of Sciences ?NKP-19-4 New National Excellence Program of the Ministry for Innovation and Technology and University of Szeged Open Access Fund. The dSTORM experiments were funded by the Hungarian Brain Research Program (KTIA_13_NAP-A-I/14) and the GINOP-2.3.2-15-2016-00036. Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Export Date: 30 January 2020 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of SciencesHungary; email: kr.buzas@gmail.com Funding Agency and Grant Number: National Research, Development and Innovation Fund of Hungary under the NKFI-6-K funding scheme [11493, GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-152017-00052]; Janos Bolyai Research Scholarship of the Hungarian Academy of SciencesHungarian Academy of Sciences [UNKP-19-4]; University of Szeged; Hungarian Brain Research Program [KTIA_13_NAP-A-I/14]; [GINOP-2.3.2-15-2016-00036] Funding text: This work was in part supported by the National Research, Development and Innovation Fund of Hungary, financed under the NKFI-6-K funding scheme (11493 project), GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-152017-00052, Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences UNKP-19-4 New National Excellence Program of the Ministry for Innovation and Technology and University of Szeged Open Access Fund. The dSTORM experiments were funded by the Hungarian Brain Research Program (KTIA_13_NAP-A-I/14) and the GINOP-2.3.2-15-2016-00036. Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Cited By :2 Export Date: 3 March 2020 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of SciencesHungary; email: kr.buzas@gmail.com Chemicals/CAS: aggrecanase 1, 147172-61-0; alpha tubulin, 78769-62-7; carbonate dehydratase, 9001-03-0; cathepsin B, 9047-22-7; cathepsin D, 9025-26-7; lipocortin 5, 111237-10-6; mitogen activated protein kinase kinase, 142805-58-1; protein bcl 2, 219306-68-0; protein kinase B, 148640-14-6 Funding details: GINOP-2.2.1-15-2017-00052, 11493, GINOP-2.3.2-15-2016-00015 Funding details: NKP-19-4 Funding details: GINOP-2.3.2-15-2016-00036, KTIA_13_NAP-A-I/14 Funding text 1: The authors wish to thank G?bor Braunitzer and Csaba Vizler, for scientific discussion, Annam?ria Marton for technical issues and adaptation of MSC isolation protocol, Lilla Pint?r for technical support. Funding. This work was in part supported by the National Research, Development and Innovation Fund of Hungary, financed under the NKFI-6-K funding scheme (11493 project), GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-15-2017-00052, J?nos Bolyai Research Scholarship of the Hungarian Academy of Sciences ?NKP-19-4 New National Excellence Program of the Ministry for Innovation and Technology and University of Szeged Open Access Fund. The dSTORM experiments were funded by the Hungarian Brain Research Program (KTIA_13_NAP-A-I/14) and the GINOP-2.3.2-15-2016-00036. Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Cited By :9 Export Date: 10 January 2021 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of SciencesHungary; email: kr.buzas@gmail.com Chemicals/CAS: aggrecanase 1, 147172-61-0; alpha tubulin, 78769-62-7; carbonate dehydratase, 9001-03-0; cathepsin B, 9047-22-7; cathepsin D, 9025-26-7; lipocortin 5, 111237-10-6; mitogen activated protein kinase kinase, 142805-58-1; protein bcl 2, 219306-68-0; protein kinase B, 148640-14-6; Programmed Cell Death 1 Receptor Funding details: Magyar Tudományos Akadémia, MTA Funding details: GINOP-2.2.1-15-2017-00052, 11493, GINOP-2.3.2-15-2016-00015, NKFI-6-K Funding details: GINOP-2.3.2-15-2016-00036, KTIA_13_NAP-A-I/14 Funding text 1: This work was in part supported by the National Research, Development and Innovation Fund of Hungary, financed under the NKFI-6-K funding scheme (11493 project), GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-15-2017-00052, János Bolyai Research Scholarship of the Hungarian Academy of Sciences ÚNKP-19-4 New National Excellence Program of the Ministry for Innovation and Technology and University of Szeged Open Access Fund. The dSTORM experiments were funded by the Hungarian Brain Research Program (KTIA_13_NAP-A-I/14) and the GINOP-2.3.2-15-2016-00036. Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Cited By :9 Export Date: 10 February 2021 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Hungary; email: kr.buzas@gmail.com Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Dermatology and Allergology, University of Szeged, Szeged, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Laboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Artificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Sequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary Department of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Advanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary Atomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary MTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Szeged, Hungary Cited By :9 Export Date: 10 March 2021 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Hungary; email: kr.buzas@gmail.com Chemicals/CAS: aggrecanase 1, 147172-61-0; alpha tubulin, 78769-62-7; carbonate dehydratase, 9001-03-0; cathepsin B, 9047-22-7; cathepsin D, 9025-26-7; lipocortin 5, 111237-10-6; mitogen activated protein kinase kinase, 142805-58-1; protein bcl 2, 219306-68-0; protein kinase B, 148640-14-6; Programmed Cell Death 1 Receptor Funding details: NKP-19-4 Funding details: GINOP-2.3.2-15-2016-00036, KTIA_13_NAP-A-I/14 Funding details: 11493, GINOP-2.2.1-15-2017-00052, GINOP-2.3.2-15-2016-00015, NKFI-6-K Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: The authors wish to thank G?bor Braunitzer and Csaba Vizler, for scientific discussion, Annam?ria Marton for technical issues and adaptation of MSC isolation protocol, Lilla Pint?r for technical support. Funding. This work was in part supported by the National Research, Development and Innovation Fund of Hungary, financed under the NKFI-6-K funding scheme (11493 project), GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-15-2017-00052, J?nos Bolyai Research Scholarship of the Hungarian Academy of Sciences ?NKP-19-4 New National Excellence Program of the Ministry for Innovation and Technology and University of Szeged Open Access Fund. The dSTORM experiments were funded by the Hungarian Brain Research Program (KTIA_13_NAP-A-I/14) and the GINOP-2.3.2-15-2016-00036. Funding text 2: This work was in part supported by the National Research, Development and Innovation Fund of Hungary, financed under the NKFI-6-K funding scheme (11493 project), GINOP-2.3.2-15-2016-00015, GINOP-2.2.1-15-2017-00052, János Bolyai Research Scholarship of the Hungarian Academy of Sciences ÚNKP-19-4 New National Excellence Program of the Ministry for Innovation and Technology and University of Szeged Open Access Fund. The dSTORM experiments were funded by the Hungarian Brain Research Program (KTIA_13_NAP-A-I/14) and the GINOP-2.3.2-15-2016-00036. AB - Recently, it has been described that programmed cell death protein 1 (PD-1) overexpressing melanoma cells are highly aggressive. However, until now it has not been defined which factors lead to the generation of PD-1 overexpressing subpopulations. Here, we present that melanoma-derived exosomes, conveying oncogenic molecular reprogramming, induce the formation of a melanoma-like, PD-1 overexpressing cell population (mMSCPD-1+) from naïve mesenchymal stem cells (MSCs). Exosomes and mMSCPD-1+ cells induce tumor progression and expression of oncogenic factors in vivo. Finally, we revealed a characteristic, tumorigenic signaling network combining the upregulated molecules (e.g., PD-1, MET, RAF1, BCL2, MTOR) and their upstream exosomal regulating proteins and miRNAs. Our study highlights the complexity of exosomal communication during tumor progression and contributes to the detailed understanding of metastatic processes. LA - English DB - MTMT ER - TY - GEN AU - Becsky, Dániel AU - Szabó, Kitti AU - Fazekas, Szuzina AU - Bálind, Árpád AU - Horváth, Péter AU - Dux, László AU - Keller-Pintér, Anikó TI - A szindekán-4 és a Rac1 GTP-áz szerepe a mioblasztok random migrációjában PY - 2018 SP - 74 UR - https://m2.mtmt.hu/api/publication/30549935 ID - 30549935 LA - Hungarian DB - MTMT ER - TY - CONF AU - Becsky, Dániel AU - Szabó, Kitti AU - Bálind, Árpád AU - Horváth, Péter AU - Keller-Pintér, Anikó AU - Dux, László TI - A szindekán-4 befolyásolja a mioblasztok direkcionális migrációját T2 - Magyar Élettani Társaság 2018. évi Vándorgyűlése : előadás és poszter absztraktok PY - 2018 SP - 52 UR - https://m2.mtmt.hu/api/publication/30549878 ID - 30549878 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Becsky, Dániel AU - Szabó, Kitti AU - Fazekas, Szuzina AU - Bálind, Árpád AU - Horváth, Péter AU - Dux, László AU - Keller-Pintér, Anikó ED - Dávis, Szüts ED - László, Buday ED - Róbert, Hohol ED - Gergely, Szakáts ED - Gabriella, Bánfalvi TI - The role of syndecan-4 and Rac1 GTPase in directional and random migration of myoblasts T2 - FEBS3+: From molecules to living systems PB - Diamond Congress Kft. CY - Veszprém SN - 9786155270475 PY - 2018 SP - 216 UR - https://m2.mtmt.hu/api/publication/30549433 ID - 30549433 N1 - Equally contribution LA - English DB - MTMT ER - TY - JOUR AU - Braskó, Csilla AU - Smith, K AU - Molnár, Csaba AU - Faragó, Nóra AU - Hegedűs, Lili AU - Bálind, Árpád AU - Balassa, Tamás AU - Szkalisity, Ábel AU - Sükösd, Farkas AU - Kocsis, Ágnes Katalin AU - Bálint, Balázs AU - Paavolainen, L AU - Enyedi, Márton Zsolt AU - Nagy, István AU - Puskás, László AU - Haracska, Lajos AU - Tamás, Gábor AU - Horváth, Péter TI - Intelligent image-based in situ single-cell isolation JF - NATURE COMMUNICATIONS J2 - NAT COMMUN VL - 9 PY - 2018 IS - 1 PG - 7 SN - 2041-1723 DO - 10.1038/s41467-017-02628-4 UR - https://m2.mtmt.hu/api/publication/3318793 ID - 3318793 N1 - University of Szeged, Hungary Közép fasor 52, Szeged, 6726, Hungary School of Computer Science and Communication, KTH Royal Institute of Technology, Lindstedtsvägen 3-5, Stockholm, 10044, Sweden Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17121, Sweden Biological Research Centre, Hungarian Academy of Sciences, Temesvári krt. 62., Szeged, 6726, Hungary Avidin Biotechnology Ltd, Alsó Kiköto sor 11, Szeged, 6726, Hungary SeqOmics Biotechnology Ltd, Vállalkozók útja 7, Mórahalom, 6782, Hungary Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Tukholmankatu 8, Helsinki, 00014, Finland Cited By :17 Export Date: 26 August 2019 Correspondence Address: Horvath, P.; Biological Research Centre, Hungarian Academy of Sciences, Temesvári krt. 62., Hungary; email: horvath.peter@brc.mta.hu Funding details: VKSZ-14-1-2015-0155 Funding details: Magyar Tudományos Akadémia, MTA Funding details: Tekes, 40294/13 Funding text 1: A.B., C.B., T.B. and P.H. acknowledge the Hungarian National Brain Research Program (MTA-SE-NAP B-BIOMAG). P.H. and L.P. acknowledge support from the Finnish TEKES FiDiPro Fellow Grant 40294/13. N.F. and G.T. were supported by the National Research, Development and Innovation Office of Hungary (VKSZ-14-1-2015-0155), the Hungarian Academy of Sciences and the ERC INTERIMPACT project. P.H. and I.N. were supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences. L.H. and P.H. acknowledge the European Union and the European Regional Development Funds (GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00020). University of Szeged, Hungary Közép fasor 52, Szeged, 6726, Hungary School of Computer Science and Communication, KTH Royal Institute of Technology, Lindstedtsvägen 3-5, Stockholm, 10044, Sweden Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17121, Sweden Biological Research Centre, Hungarian Academy of Sciences, Temesvári krt. 62., Szeged, 6726, Hungary Avidin Biotechnology Ltd, Alsó Kiköto sor 11, Szeged, 6726, Hungary SeqOmics Biotechnology Ltd, Vállalkozók útja 7, Mórahalom, 6782, Hungary Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Tukholmankatu 8, Helsinki, 00014, Finland Cited By :19 Export Date: 28 January 2020 Correspondence Address: Horvath, P.; Biological Research Centre, Hungarian Academy of Sciences, Temesvári krt. 62., Hungary; email: horvath.peter@brc.mta.hu Funding details: VKSZ-14-1-2015-0155 Funding details: Magyar Tudományos Akadémia, MTA Funding details: Tekes, 40294/13 Funding text 1: A.B., C.B., T.B. and P.H. acknowledge the Hungarian National Brain Research Program (MTA-SE-NAP B-BIOMAG). P.H. and L.P. acknowledge support from the Finnish TEKES FiDiPro Fellow Grant 40294/13. N.F. and G.T. were supported by the National Research, Development and Innovation Office of Hungary (VKSZ-14-1-2015-0155), the Hungarian Academy of Sciences and the ERC INTERIMPACT project. P.H. and I.N. were supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences. L.H. and P.H. acknowledge the European Union and the European Regional Development Funds (GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00020). Funding Agency and Grant Number: Hungarian National Brain Research Program (MTA-SE-NAP B-BIOMAG); Finnish TEKES FiDiPro [40294/13]; National Research, Development and Innovation Office of Hungary [VKSZ-14-1-2015-0155]; Hungarian Academy of SciencesHungarian Academy of Sciences; ERC INTERIMPACT; European UnionEuropean Union (EU); European Regional Development FundsEuropean Union (EU) [GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00020] Funding text: A.B., C.B., T.B. and P.H. acknowledge the Hungarian National Brain Research Program (MTA-SE-NAP B-BIOMAG). P.H. and L.P. acknowledge support from the Finnish TEKES FiDiPro Fellow Grant 40294/13. N.F. and G.T. were supported by the National Research, Development and Innovation Office of Hungary (VKSZ-14-1-2015-0155), the Hungarian Academy of Sciences and the ERC INTERIMPACT project. P.H. and I.N. were supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. L.H. and P. H. acknowledge the European Union and the European Regional Development Funds (GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00020). University of Szeged, Hungary Közép fasor 52, Szeged, 6726, Hungary School of Computer Science and Communication, KTH Royal Institute of Technology, Lindstedtsvägen 3-5, Stockholm, 10044, Sweden Science for Life Laboratory, Tomtebodavägen 23A, Solna, 17121, Sweden Biological Research Centre, Hungarian Academy of Sciences, Temesvári krt. 62., Szeged, 6726, Hungary Avidin Biotechnology Ltd, Alsó Kiköto sor 11, Szeged, 6726, Hungary SeqOmics Biotechnology Ltd, Vállalkozók útja 7, Mórahalom, 6782, Hungary Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Tukholmankatu 8, Helsinki, 00014, Finland Cited By :26 Export Date: 28 August 2020 Correspondence Address: Horvath, P.; Biological Research Centre, Hungarian Academy of Sciences, Temesvári krt. 62., Hungary; email: horvath.peter@brc.mta.hu Funding details: VKSZ-14-1-2015-0155 Funding details: Magyar Tudományos Akadémia, MTA Funding details: European Commission, EC Funding details: European Research Council, ERC Funding details: GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00020 Funding details: 40294/13 Funding text 1: A.B., C.B., T.B. and P.H. acknowledge the Hungarian National Brain Research Program (MTA-SE-NAP B-BIOMAG). P.H. and L.P. acknowledge support from the Finnish TEKES FiDiPro Fellow Grant 40294/13. N.F. and G.T. were supported by the National Research, Development and Innovation Office of Hungary (VKSZ-14-1-2015-0155), the Hungarian Academy of Sciences and the ERC INTERIMPACT project. P.H. and I.N. were supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences. L.H. and P.H. acknowledge the European Union and the European Regional Development Funds (GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00020). AB - Quantifying heterogeneities within cell populations is important for many fields including cancer research and neurobiology; however, techniques to isolate individual cells are limited. Here, we describe a high-throughput, non-disruptive, and cost-effective isolation method that is capable of capturing individually targeted cells using widely available techniques. Using high-resolution microscopy, laser microcapture microscopy, image analysis, and machine learning, our technology enables scalable molecular genetic analysis of single cells, targetable by morphology or location within the sample. LA - English DB - MTMT ER - TY - JOUR AU - Buknicz, Tünde AU - Konczné Gubán, Barbara AU - Bolla, Beáta Szilvia AU - Buzás, Krisztina AU - Harmati, Mária AU - Bálind, Árpád AU - Horvath, P AU - Csörgő Sándorné Bata, Zsuzsanna AU - Kemény, Lajos AU - Németh, István Balázs TI - Effects of melanoma derived exosomes on peritumoral stromal cells JF - JOURNAL OF INVESTIGATIVE DERMATOLOGY J2 - J INVEST DERMATOL VL - 137 PY - 2017 IS - 10 SP - S289 EP - S289 PG - 1 SN - 0022-202X DO - 10.1016/j.jid.2017.07.762 UR - https://m2.mtmt.hu/api/publication/3274498 ID - 3274498 LA - English DB - MTMT ER -