Год публикации:
Все года
2018
2019
2020
Название |
Дата публикации |
Коллектив авторов |
Журнал |
DOI |
Индекс цитирования |
Ссылка на источник |
Oncobox bioinformatical platform for selecting potentially effective combinations of target cancer drugs using high-throughput gene expression data
|
|
Буздин Антон Александрович (Заведующий лабораторией)
Сорокин Максим Игоревич (Научный сотрудник)
Поддубская Елена Владимировна (Старший научный сотрудник)
|
Cancers |
|
|
Sequential courses of anticancer target therapy lead to selection of drug-resistant cells, which results in continuous decrease of clinical response. Here we present a new approach for predicting effective combinations of target drugs, which act in a synergistic manner. Synergistic combinations of drugs may prevent or postpone acquired resistance, thus increasing treatment efficiency. We cultured human ovarian carcinoma SKOV-3 and neuroblastoma NGP-127 cancer cell lines in the presence of Tyrosine Kinase Inhibitors (Pazopanib, Sorafenib, and Sunitinib) and Rapalogues (Temsirolimus and Everolimus) for four months and obtained cell lines demonstrating increased drug resistance. We investigated gene expression profiles of intact and resistant cells by microarrays and analyzed alterations in 378 cancer-related signaling pathways using the bioinformatical platform Oncobox. This revealed numerous pathways linked with development of drug resistant phenotypes. Our approach is based on targeting proteins involved in as many as possible signaling pathways upregulated in resistant cells. We tested 13 combinations of drugs and/or selective inhibitors predicted by Oncobox and 10 random combinations. Synergy scores for Oncobox predictions were significantly higher than for randomly selected drug combinations. Thus, the proposed approach significantly outperforms random selection of drugs and can be adopted to enhance discovery of new synergistic combinations of anticancer target drugs. View Full-Text
Читать
тезис
Публикация |
Plasma exosomes stimulate breast cancer metastasis through surface interactions and activation of FAK signaling
|
|
Буздин Антон Александрович (Заведующий лабораторией)
Сорокин Максим Игоревич (Научный сотрудник)
|
Breast Cancer Research and Treatment |
|
|
Purpose
The interaction between malignant cells and surrounding healthy tissues is a critical factor in the metastatic progression of breast cancer (BC). Extracellular vesicles, especially exosomes, are known to be involved in inter-cellular communication during cancer progression. In the study presented herein, we aimed to evaluate the role of circulating plasma exosomes in the metastatic dissemination of BC and to investigate the underlying molecular mechanisms of this phenomenon.
Methods
Exosomes isolated from plasma of healthy female donors were applied in various concentrations into the medium of MDA-MB-231 and MCF-7 cell lines. Motility and invasive properties of BC cells were examined by random migration and Transwell invasion assays, and the effect of plasma exosomes on the metastatic dissemination of BC cells was demonstrated in an in vivo zebrafish model. To reveal the molecular mechanism of interaction between plasma exosomes and BC cells, a comparison between un-treated and enzymatically modified exosomes was performed, followed by mass spectrometry, gene ontology, and pathway analysis.
Читать
тезис
Публикация |
Influence of pea lectins on proliferative activity of peripheral blood mononuclear cells of healthy donors. ВЛИЯНИЕ ЛЕКТИНОВ ГОРОХА НА ПРОЛИФЕРАТИВНУЮ АКТИВНОСТЬ МОНОНУКЛЕАРНЫХ КЛЕТОК ПЕРИФЕРИЧЕСКОЙ КРОВИ ЗДОРОВЫХ ДОНОРОВ
|
|
Зайчикова С. Г. (Профессор)
Черныш А.М. (Профессор)
Несвижский Юрий Владимирович (Профессор)
|
Russian Journal of Biopharmaceuticals. БИОФАРМАЦЕВТИЧЕСКИЙ ЖУРНАЛ |
|
|
Изучено влияние лектинов растительного происхождения на цитотоксическую активность мононуклеаров периферической крови (МНПК) здоровых доноров. Установлено, что лектин гороха вызывает статистически значимый цитотоксический эффект МНПК по отношению к клеткам колоректального рака.
Читать
тезис
Публикация |