Γεώργιος Γεωργακίλας

ORCID: 0000-0003-1160-5753
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About
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Research Areas
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • MicroRNA in disease regulation
  • RNA and protein synthesis mechanisms
  • Genomics and Chromatin Dynamics
  • RNA Research and Splicing
  • Integrated Circuits and Semiconductor Failure Analysis
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Nuclear Physics and Applications
  • Insect Resistance and Genetics
  • Genomics and Phylogenetic Studies
  • Insect-Plant Interactions and Control
  • Psoriasis: Treatment and Pathogenesis
  • Insect behavior and control techniques
  • Vitamin D Research Studies
  • Dermatology and Skin Diseases
  • Single-cell and spatial transcriptomics
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • Food Allergy and Anaphylaxis Research
  • Asthma and respiratory diseases
  • Immune cells in cancer
  • Immune responses and vaccinations
  • Cytokine Signaling Pathways and Interactions
  • Electrostatic Discharge in Electronics

University of Patras
2021-2025

Athena Research and Innovation Center In Information Communication & Knowledge Technologies
2024

University of Thessaly
2013-2023

Pasteur Hellenic Institute
2015-2020

Central European Institute of Technology
2019-2020

Central European Institute of Technology – Masaryk University
2020

University of Pennsylvania
2017-2018

National Technical University of Athens
2011-2014

Alexander Fleming Biomedical Sciences Research Center
2012-2014

RMIT University
2014

The functional characterization of miRNAs is still an open challenge.Here, we present DIANA-miRPath v3.0 (http://www.microrna.gr/miRPathv3)an online software suite dedicated to the assessment miRNA regulatory roles and identification controlled pathways.The new miRPath web server renders possible annotation one or more using standard (hypergeometric distributions), unbiased empirical distributions and/or meta-analysis statistics.DIANA-miRPath database functionality have been significantly...

10.1093/nar/gkv403 article EN cc-by-nc Nucleic Acids Research 2015-05-14

MicroRNAs (miRNAs) are small endogenous RNA molecules that regulate gene expression through mRNA degradation and/or translation repression, affecting many biological processes. DIANA-microT web server (http://www.microrna.gr/webServer) is dedicated to miRNA target prediction/functional analysis, and it being widely used from the scientific community, since its initial launch in 2009. v5.0, new version of microT server, has been significantly enhanced with an improved prediction algorithm,...

10.1093/nar/gkt393 article EN cc-by-nc Nucleic Acids Research 2013-05-16

microRNAs (miRNAs) are short non-coding RNA species, which act as potent gene expression regulators. Accurate identification of miRNA targets is crucial to understanding their function. Currently, hundreds thousands miRNA:gene interactions have been experimentally identified. However, this wealth information fragmented and hidden in manuscripts raw next-generation sequencing data sets. DIANA-TarBase was initially released 2006 it the first database aiming catalog published validated...

10.1093/nar/gku1215 article EN cc-by-nc Nucleic Acids Research 2014-11-21

microRNAs (miRNAs) are short non-coding RNAs (ncRNAs) that act as post-transcriptional regulators of coding gene expression. Long (lncRNAs) have been recently reported to interact with miRNAs. The sponge-like function lncRNAs introduces an extra layer complexity in the miRNA interactome. DIANA-LncBase v1 provided a database experimentally supported and silico predicted Recognition Elements (MREs) on lncRNAs. second version LncBase (www.microrna.gr/LncBase) presents extensive collection...

10.1093/nar/gkv1270 article EN cc-by-nc Nucleic Acids Research 2015-11-26

As the relevant literature and number of experiments increase at a super linear rate, databases that curate collect experimentally verified microRNA (miRNA) targets have gradually emerged. These attempt to provide efficient access this wealth experimental data, which is scattered in thousands manuscripts. Aim TarBase 6.0 (http://www.microrna.gr/tarbase) face challenge by providing significant available miRNA derived from all contemporary techniques (gene specific high-throughput), while...

10.1093/nar/gkr1161 article EN Nucleic Acids Research 2011-12-01

MicroRNAs (miRNAs) are key regulators of diverse biological processes and their functional analysis has been deemed central in many research pipelines. The new version DIANA-miRPath web server was redesigned from the ground-up. user DNA Intelligent Analysis (DIANA) v2.0 can now utilize miRNA targets predicted with high accuracy based on DIANA-microT-CDS and/or experimentally verified TarBase v6; combine results merging meta-analysis algorithms; perform hierarchical clustering miRNAs pathways...

10.1093/nar/gks494 article EN cc-by-nc Nucleic Acids Research 2012-05-30

Recently, the attention of research community has been focused on long non-coding RNAs (lncRNAs) and their physiological/pathological implications. As number experiments increase in a rapid rate transcriptional units are better annotated, databases indexing lncRNA properties function gradually become essential tools to this process. Aim DIANA-LncBase (www.microrna.gr/LncBase) is reinforce researchers' attempts unravel microRNA (miRNA)–lncRNA putative functional interactions. This study...

10.1093/nar/gks1246 article EN cc-by-nc Nucleic Acids Research 2012-11-27

The Mediterranean fruit fly (medfly), Ceratitis capitata, is a major destructive insect pest due to its broad host range, which includes hundreds of fruits and vegetables. It exhibits unique ability invade adapt ecological niches throughout tropical subtropical regions the world, though medfly infestations have been prevented controlled by sterile technique (SIT) as part integrated management programs (IPMs). genetic analysis manipulation has subject intensive study in an effort improve SIT...

10.1186/s13059-016-1049-2 article EN cc-by Genome biology 2016-09-22

microRNAs (miRNAs) are small non-coding RNAs that actively fine-tune gene expression. The accurate characterization of the mechanisms underlying miRNA transcription regulation will further expand our knowledge regarding their implication in homeostatic and pathobiological networks. Aim DIANA-miRGen v3.0 (http://www.microrna.gr/mirgen) is to provide for first time cell-line-specific start sites (TSSs), coupled with genome-wide maps factor (TF) binding order unveil regulation. To this end,...

10.1093/nar/gkv1254 article EN cc-by-nc Nucleic Acids Research 2015-11-19

Differential expression analysis (DEA) is one of the main instruments utilized for revealing molecular mechanisms in pathological and physiological conditions. DIANA-mirExTra v2.0 (http://www.microrna.gr/mirextrav2) performs a combined DEA mRNAs microRNAs (miRNAs) to uncover miRNAs transcription factors (TFs) playing important regulatory roles between two investigated states. The web server uses as input miRNA/RNA-Seq read count data sets that can be uploaded analysis. Users combine their...

10.1093/nar/gkw455 article EN cc-by-nc Nucleic Acids Research 2016-05-20

Abstract Deregulation of microRNA (miRNA) expression plays a critical role in the transition from physiological to pathological state. The accurate miRNA promoter identification multiple cell types is fundamental endeavor towards understanding and characterizing underlying mechanisms both as well conditions. DIANA-miRGen v4 (www.microrna.gr/mirgenv4) provides type specific transcription start sites (TSSs) for over 1500 miRNAs retrieved analysis >1000 cap gene (CAGE) samples...

10.1093/nar/gkaa1060 article EN cc-by-nc Nucleic Acids Research 2020-11-26

Abstract Cap Analysis of Gene Expression (CAGE) has emerged as a powerful experimental technique for assisting in the identification transcription start sites (TSSs). There is strong evidence that CAGE also identifies capping along various other locations transcribed loci such splicing byproducts, alternative isoforms and capped molecules overlapping introns exons. We present ADAPT-CAGE, Machine Learning framework which trained to distinguish between signal derived from TSSs transcriptional...

10.1038/s41598-020-57811-3 article EN cc-by Scientific Reports 2020-01-21

Abstract Summary: Identifying, amongst millions of publications available in MEDLINE, those that are relevant to specific microRNAs (miRNAs) interest based on keyword search faces major obstacles. References miRNA names the literature often deviate from standard nomenclature for various reasons, since even official evolves. For instance, a single name may identify two completely different molecules or refer same molecule. mirPub is database with powerful and intuitive interface, which...

10.1093/bioinformatics/btu819 article EN cc-by-nc Bioinformatics 2014-12-20

Abstract Genomic regions that encode small RNA genes exhibit characteristic patterns in their sequence, secondary structure, and evolutionary conservation. Convolutional Neural Networks are a family of algorithms can classify data based on learned patterns. Here we present MuStARD an application learn associated with user-defined sets genomic regions, scan large areas for novel exhibiting similar characteristics. We demonstrate is generic method be trained different classes human loci,...

10.1038/s41598-020-66454-3 article EN cc-by Scientific Reports 2020-06-11

Cellular identity between generations of developing cells is propagated through the epigenome particularly via accessible parts chromatin. It now possible to measure chromatin accessibility at single-cell resolution using assay for transposase (scATAC-seq), which can reveal regulatory variation behind phenotypic variation. However, data are sparse, binary, and high dimensional, leading unique computational challenges. To overcome these difficulties, we developed PRISM, a workflow that...

10.3389/fgene.2018.00319 article EN cc-by Frontiers in Genetics 2018-08-15

A significant problem in the field of hardware security consists trojan (HT) viruses. The insertion HTs into a circuit can be applied for each phase chain production. degrade infected circuit, destroy it or leak encrypted data. Nowadays, efforts are being made to address through machine learning (ML) techniques, mainly gate-level netlist (GLN) phase, but there some restrictions. Specifically, number and variety normal circuits that exist free public libraries, such as Trust-HUB, based on few...

10.3390/electronics11020245 article EN Electronics 2022-01-13
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