@article{SalihogluSrivastavaLiangetal.2023,
  author    = {Salihoglu, Rana and Srivastava, Mugdha and Liang, Chunguang and Schilling, Klaus and Szalay, Aladar and Bencurova, Elena and Dandekar, Thomas},
  title     = {PRO-Simat: Protein network simulation and design tool},
  series = {Computational and Structural Biotechnology Journal},
  volume    = {21},
  journal   = {Computational and Structural Biotechnology Journal},
  issn      = {2001-0370},
  doi       = {10.1016/j.csbj.2023.04.023},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-350034},
  pages     = {2767-2779},
  year      = {2023},
  abstract  = {PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million protein-protein interactions across 32 model organisms and the human proteome. We integrated dynamical network simulation using the Jimena framework, which quickly and efficiently simulates Boolean genetic regulatory networks. It enables simulation outputs with in-depth analysis of the type, strength, duration and pathway of the protein interactions on the website. Furthermore, the user can efficiently edit and analyse the effect of network modifications and engineering experiments. In case studies, applications of PRO-Simat are demonstrated: (i) understanding mutually exclusive differentiation pathways in Bacillus subtilis, (ii) making Vaccinia virus oncolytic by switching on its viral replication mainly in cancer cells and triggering cancer cell apoptosis and (iii) optogenetic control of nucleotide processing protein networks to operate DNA storage. Multilevel communication between components is critical for efficient network switching, as demonstrated by a general census on prokaryotic and eukaryotic networks and comparing design with synthetic networks using PRO-Simat. The tool is available at https://prosimat.heinzelab.de/ as a web-based query server.},
  language  = {en}
}
@article{JunGholamiSongetal.2014,
  author    = {Jun, Kyong-Hwa and Gholami, Spedideh and Song, Tae-Jin and Au, Joyce and Haddad, Dana and Carson, Joshua and Chen, Chun-Hao and Mojica, Kelly and Zanzonico, Pat and Chen, Nanhai G. and Zhang, Qian and Szalay, Aladar and Fong, Yuman},
  title     = {A novel oncolytic viral therapy and imaging technique for gastric cancer using a genetically engineered vaccinia virus carrying the human sodium iodide symporter},
  series = {Journal of Experimental \& Clinical Cancer Research},
  volume    = {33},
  journal   = {Journal of Experimental \& Clinical Cancer Research},
  number    = {2},
  issn      = {1756-9966},
  doi       = {10.1186/1756-9966-33-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117716},
  year      = {2014},
  abstract  = {Background: Gastric cancers have poor overall survival despite recent advancements in early detection methods, endoscopic resection techniques, and chemotherapy treatments. Vaccinia viral therapy has had promising therapeutic potential for various cancers and has a great safety profile. We investigated the therapeutic efficacy of a novel genetically-engineered vaccinia virus carrying the human sodium iodide symporter (hNIS) gene, GLV-1 h153, on gastric cancers and its potential utility for imaging with Tc-99m pertechnetate scintigraphy and I-124 positron emission tomography (PET). Methods: GLV-1 h153 was tested against five human gastric cancer cell lines using cytotoxicity and standard viral plaque assays. In vivo, subcutaneous flank tumors were generated in nude mice with human gastric cancer cells, MKN-74. Tumors were subsequently injected with either GLV-1 h153 or PBS and followed for tumor growth. Tc-99m pertechnetate scintigraphy and I-124 microPET imaging were performed. Results: GFP expression, a surrogate for viral infectivity, confirmed viral infection by 24 hours. At a multiplicity of infection (MOI) of 1, GLV-1 h153 achieved > 90\% cytotoxicity in MNK-74, OCUM-2MD3, and AGS over 9 days, and >70\% cytotoxicity in MNK-45 and TMK-1. In vivo, GLV-1 h153 was effective in treating xenografts (p < 0.001) after 2 weeks of treatment. GLV-1 h153-infected tumors were readily imaged by Tc-99m pertechnetate scintigraphy and I-124 microPET imaging 2 days after treatment. Conclusions: GLV-1 h153 is an effective oncolytic virus expressing the hNIS protein that can efficiently regress gastric tumors and allow deep-tissue imaging. These data encourages its continued investigation in clinical settings.},
  language  = {en}
}
@article{HessStritzkerHaertletal.2011,
  author    = {Hess, Michael and Stritzker, Jochen and H{\"a}rtl, Barbara and Sturm, Julia and Gentschev, Ivaylo and Szalay, Aladar},
  title     = {Bacterial glucuronidase as general marker for oncolytic virotherapy or other biological therapies},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-69163},
  year      = {2011},
  abstract  = {Background: Oncolytic viral tumor therapy is an emerging field in the fight against cancer with rising numbers of clinical trials and the first clinically approved product (Adenovirus for the treatment of Head and Neck Cancer in China) in this field. Yet, until recently no general (bio)marker or reporter gene was described that could be used to evaluate successful tumor colonization and/or transgene expression in other biological therapies. Methods: Here, a bacterial glucuronidase (GusA) encoded by biological therapeutics (e.g. oncolytic viruses) was used as reporter system. Results: Using fluorogenic probes that were specifically activated by glucuronidase we could show 1) preferential activation in tumors, 2) rena l excretion of the activated fluorescent compounds and 3) reproducible detection of GusA in the serum of oncolytic vaccinia virus treated, tumor bearing mice in several tumor models. Time course studies revealed that reliable differentiation between tumor bearing and healthy mice can be done as early as 9 days post injection of the virus. Regarding the sensitivity of the newly developed assay system, we could show that a single infected tumor cell could be reliably detected in this assay. Conclusion: GusA therefore has the potential to be used as a general marker in the preclinical and clinical evaluation of (novel) biological therapies as well as being useful for the detection of rare cells such as circulating tumor cells},
  subject      = {Virologie},
  language  = {en}
}