@article{MTMT:32058695, title = {The Combination of Single-Cell and Next-Generation Sequencing Can Reveal Mosaicism for BRCA2 Mutations and the Fine Molecular Details of Tumorigenesis}, url = {https://m2.mtmt.hu/api/publication/32058695}, author = {Gráf, Alexandra and Enyedi, Márton Zsolt and Pinter, Lajos and Kriston-Pal, Eva and Jaksa, Gabor and Bálind, Árpád and Ezer, Eva and Horváth, Péter and Sükösd, Farkas and Kiss, Ernő and Haracska, Lajos}, doi = {10.3390/cancers13102354}, journal-iso = {CANCERS}, journal = {CANCERS}, volume = {13}, unique-id = {32058695}, year = {2021}, eissn = {2072-6694}, orcid-numbers = {Kiss, Ernő/0000-0002-7344-1750} } @article{MTMT:31634527, title = {Syndecan-4 Modulates Cell Polarity and Migration by Influencing Centrosome Positioning and Intracellular Calcium Distribution}, url = {https://m2.mtmt.hu/api/publication/31634527}, author = {Becsky, Dániel and Szabó, Kitti and Fazekas, Szuzina and Gajdos, Tamás and Bartos, Zsuzsa and Bálind, Árpád and Dux, László and Horváth, Péter and Erdélyi, Miklós and Homolya, László and Keller-Pintér, Anikó}, doi = {10.3389/fcell.2020.575227}, journal-iso = {FRONT CELL DEV BIOL}, journal = {FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY}, volume = {8}, unique-id = {31634527}, issn = {2296-634X}, year = {2020}, eissn = {2296-634X}, orcid-numbers = {Becsky, Dániel/0000-0002-7970-6000; Szabó, Kitti/0000-0002-1177-2036; Gajdos, Tamás/0000-0002-5288-4659; Bartos, Zsuzsa/0000-0001-9695-1422; Dux, László/0000-0002-1270-1678; Erdélyi, Miklós/0000-0002-9501-5752; Homolya, László/0000-0003-1639-8140; Keller-Pintér, Anikó/0000-0002-4105-8458} } @article{MTMT:31334623, title = {nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer}, url = {https://m2.mtmt.hu/api/publication/31334623}, author = {Hollandi, Réka and Szkalisity, Ábel and Tóth, Tímea and Tasnádi, Ervin Áron and Molnár, Csaba and Mathe, Botond and Grexa, István and Molnár, József and Bálind, Árpád and Gorbe, Mate and Kovács, Mária and Migh, Ede and Goodman, Allen and Balassa, Tamás and Koós, Krisztián and Wang, Wenyu and Caicedo, Juan Carlos and Bara, Norbert and Kovács, Ferenc and Paavolainen, Lassi and Danka, Tivadar and Kriston, András and Carpenter, Anne Elizabeth and Smith, Kevin and Horváth, Péter}, doi = {10.1016/j.cels.2020.04.003}, journal-iso = {CELL SYST}, journal = {CELL SYSTEMS}, volume = {10}, unique-id = {31334623}, issn = {2405-4712}, abstract = {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.}, year = {2020}, eissn = {2405-4720}, pages = {453-458}, orcid-numbers = {Molnár, Csaba/0000-0002-6124-1209; Molnár, József/0000-0002-9185-9376} } @article{MTMT:31145816, title = {Myoblast Migration and Directional Persistence Affected by Syndecan-4-Mediated Tiam-1 Expression and Distribution}, url = {https://m2.mtmt.hu/api/publication/31145816}, author = {Becsky, Dániel and Fazekas, Szuzina and Bálind, Árpád and Horváth, Péter and Dux, László and Keller-Pintér, Anikó}, doi = {10.3390/ijms21030823}, journal-iso = {INT J MOL SCI}, journal = {INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES}, volume = {21}, unique-id = {31145816}, issn = {1661-6596}, year = {2020}, eissn = {1422-0067}, orcid-numbers = {Becsky, Dániel/0000-0002-7970-6000; Dux, László/0000-0002-1270-1678; Keller-Pintér, Anikó/0000-0002-4105-8458} } @article{MTMT:30898978, title = {Melanoma-Derived Exosomes Induce PD-1 Overexpression and Tumor Progression via Mesenchymal Stem Cell Oncogenic Reprogramming}, url = {https://m2.mtmt.hu/api/publication/30898978}, author = {Gyukity-Sebestyén, Edina and Harmati, Mária and Dobra, Gabriella and Németh, István Balázs and Mihály, Johanna and Zvara, Ágnes and Hunyadi-Gulyás Éva, Csilla and Katona, Róbert László and Nagy, István and Horváth, Péter and Bálind, Árpád and Szkalisity, Ábel and Kovács, Mária and Pankotai, Tibor and Borsos, Barbara Nikolett and Erdélyi, Miklós and Szegletes, Zsolt and Veréb, Zoltán and Buzás, Edit Irén and Kemény, Lajos and Bíró, Tamás and Buzás, Krisztina}, doi = {10.3389/fimmu.2019.02459}, journal-iso = {FRONT IMMUNOL}, journal = {FRONTIERS IN IMMUNOLOGY}, volume = {10}, unique-id = {30898978}, issn = {1664-3224}, abstract = {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.}, keywords = {METASTASIS; stem cell; exosome; Reprogramming; PD-1; melanoma/tumor progression; signalization pattern}, year = {2019}, eissn = {1664-3224}, orcid-numbers = {Gyukity-Sebestyén, Edina/0000-0003-1383-6301; Harmati, Mária/0000-0002-4875-5723; Dobra, Gabriella/0000-0002-2814-7720; Pankotai, Tibor/0000-0001-9810-5465; Erdélyi, Miklós/0000-0002-9501-5752; Szegletes, Zsolt/0000-0003-2202-6933; Veréb, Zoltán/0000-0002-9518-2155; Buzás, Edit Irén/0000-0002-3744-206X; Kemény, Lajos/0000-0002-2119-9501; Buzás, Krisztina/0000-0001-8933-2033} } @misc{MTMT:30549935, title = {A szindekán-4 és a Rac1 GTP-áz szerepe a mioblasztok random migrációjában}, url = {https://m2.mtmt.hu/api/publication/30549935}, author = {Becsky, Dániel and Szabó, Kitti and Fazekas, Szuzina and Bálind, Árpád and Horváth, Péter and Dux, László and Keller-Pintér, Anikó}, unique-id = {30549935}, year = {2018}, pages = {74}, orcid-numbers = {Becsky, Dániel/0000-0002-7970-6000; Szabó, Kitti/0000-0002-1177-2036; Dux, László/0000-0002-1270-1678; Keller-Pintér, Anikó/0000-0002-4105-8458} } @CONFERENCE{MTMT:30549878, title = {A szindekán-4 befolyásolja a mioblasztok direkcionális migrációját}, url = {https://m2.mtmt.hu/api/publication/30549878}, author = {Becsky, Dániel and Szabó, Kitti and Bálind, Árpád and Horváth, Péter and Keller-Pintér, Anikó and Dux, László}, booktitle = {Magyar Élettani Társaság 2018. évi Vándorgyűlése : előadás és poszter absztraktok}, unique-id = {30549878}, year = {2018}, pages = {52}, orcid-numbers = {Becsky, Dániel/0000-0002-7970-6000; Szabó, Kitti/0000-0002-1177-2036; Keller-Pintér, Anikó/0000-0002-4105-8458; Dux, László/0000-0002-1270-1678} } @{MTMT:30549433, title = {The role of syndecan-4 and Rac1 GTPase in directional and random migration of myoblasts}, url = {https://m2.mtmt.hu/api/publication/30549433}, author = {Becsky, Dániel and Szabó, Kitti and Fazekas, Szuzina and Bálind, Árpád and Horváth, Péter and Dux, László and Keller-Pintér, Anikó}, booktitle = {FEBS3+: From molecules to living systems}, unique-id = {30549433}, year = {2018}, pages = {216}, orcid-numbers = {Becsky, Dániel/0000-0002-7970-6000; Szabó, Kitti/0000-0002-1177-2036; Dux, László/0000-0002-1270-1678; Keller-Pintér, Anikó/0000-0002-4105-8458} } @article{MTMT:3318793, title = {Intelligent image-based in situ single-cell isolation}, url = {https://m2.mtmt.hu/api/publication/3318793}, author = {Braskó, Csilla and Smith, K and Molnár, Csaba and Faragó, Nóra and Hegedűs, Lili and Bálind, Árpád and Balassa, Tamás and Szkalisity, Ábel and Sükösd, Farkas and Kocsis, Ágnes Katalin and Bálint, Balázs and Paavolainen, L and Enyedi, Márton Zsolt and Nagy, István and Puskás, László and Haracska, Lajos and Tamás, Gábor and Horváth, Péter}, doi = {10.1038/s41467-017-02628-4}, journal-iso = {NAT COMMUN}, journal = {NATURE COMMUNICATIONS}, volume = {9}, unique-id = {3318793}, issn = {2041-1723}, abstract = {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.}, year = {2018}, eissn = {2041-1723}, orcid-numbers = {Molnár, Csaba/0000-0002-6124-1209; Tamás, Gábor/0000-0002-7905-6001} } @article{MTMT:3274498, title = {Effects of melanoma derived exosomes on peritumoral stromal cells}, url = {https://m2.mtmt.hu/api/publication/3274498}, author = {Buknicz, Tünde and Konczné Gubán, Barbara and Bolla, Beáta Szilvia and Buzás, Krisztina and Harmati, Mária and Bálind, Árpád and Horvath, P and Csörgő Sándorné Bata, Zsuzsanna and Kemény, Lajos and Németh, István Balázs}, doi = {10.1016/j.jid.2017.07.762}, journal-iso = {J INVEST DERMATOL}, journal = {JOURNAL OF INVESTIGATIVE DERMATOLOGY}, volume = {137}, unique-id = {3274498}, issn = {0022-202X}, year = {2017}, eissn = {1523-1747}, pages = {S289-S289}, orcid-numbers = {Buzás, Krisztina/0000-0001-8933-2033; Harmati, Mária/0000-0002-4875-5723; Csörgő Sándorné Bata, Zsuzsanna/0000-0002-3732-1743; Kemény, Lajos/0000-0002-2119-9501} }