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Vassilis G. Gorgoulis
National and Kapodistrian University of Athens
CancerImmunologyCancer researchCarcinogenesisBiology
192Publications
47H-index
11.8kCitations
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Publications 212
Newest
#1Konstantina Kitsou (UoA: National and Kapodistrian University of Athens)
#2Anastasia Kotanidou (UoA: National and Kapodistrian University of Athens)H-Index: 29
Last. Vassilis G. Gorgoulis (UoA: National and Kapodistrian University of Athens)H-Index: 47
view all 14 authors...
Background: Severe COVID-19 pneumonia has been associated with the development of intense inflammatory responses during the course of infections with SARS-CoV-2. Given that Human Endogenous Retroviruses (HERVs) are known to be activated during and participate in inflammatory processes, we examined whether HERV dysregulation signatures are present in COVID-19 patients. Results: By comparing transcriptomes of Peripheral Blood Monocytes (PBMCs) and Bronchoalveolar Lavage Fluid (BALF) from patients ...
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#1Riccardo VanzoH-Index: 1
#2Jirina Bartkova (Science for Life Laboratory)H-Index: 54
Last. Bartek Jiri (Science for Life Laboratory)H-Index: 97
view all 11 authors...
Autophagy is an evolutionarily conserved process that captures aberrant intracellular proteins and/or damaged organelles for delivery to lysosomes, with implications for cellular and organismal homeostasis, aging and diverse pathologies, including cancer. During cancer development, autophagy may play both tumour-supporting and tumour-suppressing roles. Any relationships of autophagy to the established oncogene-induced replication stress (RS) and the ensuing DNA damage response (DDR)-mediated ant...
4 CitationsSource
#1Konstantinos Vougas (UoA: National and Kapodistrian University of Athens)H-Index: 19
#1Konstantinos Vougas (UoA: National and Kapodistrian University of Athens)H-Index: 1
Last. Vassilis G. GorgoulisH-Index: 47
view all 3 authors...
ABSTRACTPredicting response to therapy is a major challenge in medicine. Machine learning algorithms are promising tools for assisting this aim. Amongst them, Deep Neural Networks are emerging as t...
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#1Aigli G. Vakrakou (Pasteur Institute)H-Index: 3
#2Ioanna P. Svolaki (Pasteur Institute)
Last. Menelaos N. Manoussakis (Pasteur Institute)H-Index: 4
view all 5 authors...
Abstract Primary Sjogren's syndrome (SS) is characterized by chronic periductal inflammatory infiltrates in the salivary glands. Several previous studies have indicated that the ductal epithelia of SS patients play a pro-inflammatory role and manifest an intrinsically activated status, as demonstrated in cultured non-neoplastic ductal salivary gland epithelial cell (SGEC) lines. Herein, we investigated the activation of inflammasomes in the salivary epithelia of SS patients and non-SS controls, ...
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#1Nikolaos AntoniouH-Index: 6
#1N. G. Antoniou (UoA: National and Kapodistrian University of Athens)H-Index: 13
Last. Vassilis G. GorgoulisH-Index: 47
view all 11 authors...
The genome is exposed daily to many deleterious factors. Ubiquitination is a mechanism that regulates several crucial cellular functions, allowing cells to react upon various stimuli in order to preserve their homeostasis. Ubiquitin ligases act as specific regulators and actively participate among others in the DNA damage response (DDR) network. UBE4B is a newly identified member of E3 ubiquitin ligases that appears to be overexpressed in several human neoplasms. The aim of this review is to pro...
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#1Theodore Sakellaropoulos (NYU: New York University)H-Index: 6
#2Konstantinos Vougas (UoA: National and Kapodistrian University of Athens)H-Index: 19
Last. Vassilis G. GorgoulisH-Index: 47
view all 23 authors...
Summary A major challenge in cancer treatment is predicting clinical response to anti-cancer drugs on a personalized basis. Using a pharmacogenomics database of 1,001 cancer cell lines, we trained deep neural networks for prediction of drug response and assessed their performance on multiple clinical cohorts. We demonstrate that deep neural networks outperform the current state in machine learning frameworks. We provide a proof of concept for the use of deep neural network-based frameworks to ai...
4 CitationsSource
#2Peter D. Adams (Glas.: University of Glasgow)H-Index: 43
Last. Marco Demaria (UMCG: University Medical Center Groningen)H-Index: 26
view all 26 authors...
Cellular senescence is a cell state implicated in various physiological processes and a wide spectrum of age-related diseases. Recently, interest in therapeutically targeting senescence to improve healthy aging and age-related disease, otherwise known as senotherapy, has been growing rapidly. Thus, the accurate detection of senescent cells, especially in vivo, is essential. Here, we present a consensus from the International Cell Senescence Association (ICSA), defining and discussing key cellula...
42 CitationsSource
#1Eleni N. Tsakiri (UoA: National and Kapodistrian University of Athens)H-Index: 7
#2Sentiljana Gumeni (UoA: National and Kapodistrian University of Athens)H-Index: 6
Last. Ιωάννης Π. Τρουγκάκος (UoA: National and Kapodistrian University of Athens)H-Index: 32
view all 10 authors...
ABSTRACTThe ubiquitin-proteasome pathway (UPP) is central to proteostasis network (PN) functionality and proteome quality control. Yet, the functional implication of the UPP in tissue homeodynamics...
7 CitationsSource
#1Konstantinos Vougas (UoA: National and Kapodistrian University of Athens)H-Index: 1
#2Theodore Sakelaropoulos (NYU: New York University)H-Index: 1
Last. Vassilis G. GorgoulisH-Index: 47
view all 21 authors...
Abstract A major challenge in cancer treatment is predicting the clinical response to anti-cancer drugs on a personalized basis. The success of such a task largely depends on the ability to develop computational resources that integrate big “omic” data into effective drug-response models. Machine learning is both an expanding and an evolving computational field that holds promise to cover such needs. Here we provide a focused overview of: 1) the various supervised and unsupervised algorithms use...
3 CitationsSource
#1Katerina Harvati (University of Tübingen)H-Index: 34
#2Carolin Röding (University of Tübingen)H-Index: 1
Last. Mirsini Kouloukoussa (UoA: National and Kapodistrian University of Athens)H-Index: 8
view all 12 authors...
Two fossilized human crania (Apidima 1 and Apidima 2) from Apidima Cave, southern Greece, were discovered in the late 1970s but have remained enigmatic owing to their incomplete nature, taphonomic distortion and lack of archaeological context and chronology. Here we virtually reconstruct both crania, provide detailed comparative descriptions and analyses, and date them using U-series radiometric methods. Apidima 2 dates to more than 170 thousand years ago and has a Neanderthal-like morphological...
12 CitationsSource
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