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1. Identifying novel regulatory effects for clinically relevant genes through the study of the Greek population

Author

Rouskas, Konstantinos, Katsareli, Efthymia A., Amerikanou, Charalampia, Dimopoulos, Alexandros C., Glentis, Stavros, Kalantzi, Alexandra, Skoulakis, Anargyros, Panousis, Nikolaos, Ongen, Halit, Bielser, Deborah, Planchon, Alexandra, Romano, Luciana, Harokopos, Vaggelis, Reczko, Martin, Moulos, Panagiotis, Griniatsos, Ioannis, Diamantis, Theodoros, Dermitzakis, Emmanouil T., Ragoussis, Jiannis, Dedoussis, George, and Dimas, Antigone S.

Published
2023
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2. SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines

Author

Vergoulis, Thanasis, Zagganas, Konstantinos, Kavouras, Loukas, Reczko, Martin, Sartzetakis, Stelios, and Dalamagas, Theodore

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

In the era of data-driven science, conducting computational experiments that involve analysing large datasets using heterogeneous computational clusters, is part of the everyday routine for many scientists. Moreover, to ensure the credibility of their results, it is very important for these analyses to be easily reproducible by other researchers. Although various technologies, that could facilitate the work of scientists in this direction, have been introduced in the recent years, there is still a lack of open source platforms that combine them to this end. In this work, we describe and demonstrate SCHeMa, an open-source platform that facilitates the execution and reproducibility of computational analysis on heterogeneous clusters, leveraging containerization, experiment packaging, workflow management, and machine learning technologies.

Published
2021

3. DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins

Author

Panou, Dimitra N. and Reczko, Martin

Subjects
Quantitative Biology - Biomolecules, Computer Science - Machine Learning
Abstract

Despite considerable progress, ab initio protein structure prediction remains suboptimal. A crowdsourcing approach is the online puzzle video game Foldit, that provided several useful results that matched or even outperformed algorithmically computed solutions. Using Foldit, the WeFold crowd had several successful participations in the Critical Assessment of Techniques for Protein Structure Prediction. Based on the recent Foldit standalone version, we trained a deep reinforcement neural network called DeepFoldit to improve the score assigned to an unfolded protein, using the Q-learning method with experience replay. This paper is focused on model improvement through hyperparameter tuning. We examined various implementations by examining different model architectures and changing hyperparameter values to improve the accuracy of the model. The new model hyper-parameters also improved its ability to generalize. Initial results, from the latest implementation, show that given a set of small unfolded training proteins, DeepFoldit learns action sequences that improve the score both on the training set and on novel test proteins. Our approach combines the intuitive user interface of Foldit with the efficiency of deep reinforcement learning., Comment: 108 pages, 66 figures

Published
2020

5. Olive fly transcriptomics analysis implicates energy metabolism genes in spinosad resistance

Author

Sagri, Efthimia, Reczko, Martin, Gregoriou, Maria-Eleni, Tsoumani, Konstantina T, Zygouridis, Nikolaos E, Salpea, Klelia D, Zalom, Frank G, Ragoussis, Jiannis, and Mathiopoulos, Kostas D

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Antimicrobial Resistance, Amino Acid Sequence, Animals, Cloning, Molecular, Computational Biology, Cytochrome P-450 Enzyme System, Drug Combinations, Drug Resistance, Energy Metabolism, Female, Gene Expression Regulation, Gene Regulatory Networks, Immunity, Insecticides, Macrolides, Male, Metabolic Detoxication, Phase I, Molecular Sequence Annotation, Molecular Sequence Data, Polymorphism, Single Nucleotide, Protein Subunits, Quantitative Trait Loci, Receptors, Nicotinic, Stress, Physiological, Tephritidae, Transcriptome, Insecticide tolerance, Spinosyns, Next generation sequencing, Expression analysis, Information and Computing Sciences, Medical and Health Sciences, Bioinformatics, Biological sciences, Biomedical and clinical sciences
Abstract

BackgroundThe olive fly, Bactrocera oleae, is the most devastating pest of cultivated olives. Its control has been traditionally based on insecticides, mainly organophosphates and pyrethroids. In recent years, the naturalyte spinosad is used against the olive fly. As with other insecticides, spinosad is subject to selection pressures that have led to resistance development. Mutations in the α6 subunit of the nicotinic acetylcholine receptor (nAChR) have been implicated in spinosad resistance in several species (e.g., Drosophila melanogaster) but excluded in others (e.g., Musca domestica). Yet, additional mechanisms involving enhanced metabolism of detoxification enzymes (such as P450 monooxygenases or mixed function oxidases) have also been reported. In order to clarify the spinosad resistance mechanisms in the olive fly, we searched for mutations in the α6-subunit of the nAChR and for up-regulated genes in the entire transcriptome of spinosad resistant olive flies.ResultsThe olive fly α6-subunit of the nAChR was cloned from the laboratory sensitive strain and a spinosad selected resistant line. The differences reflected silent nucleotide substitutions or conserved amino acid changes. Additionally, whole transcriptome analysis was performed in the two strains in order to reveal any underlying resistance mechanisms. Comparison of over 13,000 genes showed that in spinosad resistant flies nine genes were significantly over-expressed, whereas ~40 were under-expressed. Further functional analyses of the nine over-expressed and eleven under-expressed loci were performed. Four of these loci (Yolk protein 2, ATP Synthase FO subunit 6, Low affinity cationic amino acid transporter 2 and Serine protease 6) showed consistently higher expression both in the spinosad resistant strain and in wild flies from a resistant California population. On the other side, two storage protein genes (HexL1 and Lsp1) and two heat-shock protein genes (Hsp70 and Hsp23) were unfailingly under-expressed in resistant flies.ConclusionThe observed nucleotide differences in the nAChR-α6 subunit between the sensitive and spinosad resistant olive fly strains did not advocate for the involvement of receptor mutations in spinosad resistance. Instead, the transcriptome comparison between the two strains indicated that several immune system loci as well as elevated energy requirements of the resistant flies might be necessary to lever the detoxification process.

Published
2014

6. Identifying novel regulatory effects for clinically relevant genes through the study of the Greek population

Author

Rouskas, Konstantinos, primary, Katsareli, Efthymia A, additional, Amerikanou, Charalampia, additional, Dimopoulos, Alexandros C, additional, Glentis, Stavros, additional, Kalantzi, Alexandra, additional, Skoulakis, Anargyros, additional, Panousis, Nikolaos, additional, Ongen, Halit, additional, Bielser, Deborah, additional, Planchon, Alexandra, additional, Romano, Luciana, additional, Harokopos, Vaggelis, additional, Reczko, Martin, additional, Moulos, Panagiotis, additional, Griniatsos, Ioannis, additional, Diamantis, Theodoros, additional, Dermitzakis, Emmanouil T, additional, Ragoussis, Jiannis, additional, Dedoussis, George, additional, and Dimas, Antigone S, additional

Published
2023
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7. Figure 2 from: Ross-Hellauer T, Klebel T, Bannach-Brown A, Horbach SP, Jabeen H, Manola N, Metodiev T, Papageorgiou H, Reczko M, Sansone S-A, Schneider J, Tijdink J, Vergoulis T (2022) TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility. Research Ideas and Outcomes 8: e98457. https://doi.org/10.3897/rio.8.e98457

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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8. Figure 3 from: Ross-Hellauer T, Klebel T, Bannach-Brown A, Horbach SP, Jabeen H, Manola N, Metodiev T, Papageorgiou H, Reczko M, Sansone S-A, Schneider J, Tijdink J, Vergoulis T (2022) TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility. Research Ideas and Outcomes 8: e98457. https://doi.org/10.3897/rio.8.e98457

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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9. Figure 6 from: Ross-Hellauer T, Klebel T, Bannach-Brown A, Horbach SP, Jabeen H, Manola N, Metodiev T, Papageorgiou H, Reczko M, Sansone S-A, Schneider J, Tijdink J, Vergoulis T (2022) TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility. Research Ideas and Outcomes 8: e98457. https://doi.org/10.3897/rio.8.e98457

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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10. Figure 5 from: Ross-Hellauer T, Klebel T, Bannach-Brown A, Horbach SP, Jabeen H, Manola N, Metodiev T, Papageorgiou H, Reczko M, Sansone S-A, Schneider J, Tijdink J, Vergoulis T (2022) TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility. Research Ideas and Outcomes 8: e98457. https://doi.org/10.3897/rio.8.e98457

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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11. Figure 1 from: Ross-Hellauer T, Klebel T, Bannach-Brown A, Horbach SP, Jabeen H, Manola N, Metodiev T, Papageorgiou H, Reczko M, Sansone S-A, Schneider J, Tijdink J, Vergoulis T (2022) TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility. Research Ideas and Outcomes 8: e98457. https://doi.org/10.3897/rio.8.e98457

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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12. Figure 4 from: Ross-Hellauer T, Klebel T, Bannach-Brown A, Horbach SP, Jabeen H, Manola N, Metodiev T, Papageorgiou H, Reczko M, Sansone S-A, Schneider J, Tijdink J, Vergoulis T (2022) TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility. Research Ideas and Outcomes 8: e98457. https://doi.org/10.3897/rio.8.e98457

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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13. Figure 7 from: Ross-Hellauer T, Klebel T, Bannach-Brown A, Horbach SP, Jabeen H, Manola N, Metodiev T, Papageorgiou H, Reczko M, Sansone S-A, Schneider J, Tijdink J, Vergoulis T (2022) TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility. Research Ideas and Outcomes 8: e98457. https://doi.org/10.3897/rio.8.e98457

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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14. TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility

Author

Ross-Hellauer, Tony, primary, Klebel, Thomas, additional, Bannach-Brown, Alexandra, additional, Horbach, Serge P.J.M., additional, Jabeen, Hajira, additional, Manola, Natalia, additional, Metodiev, Teodor, additional, Papageorgiou, Haris, additional, Reczko, Martin, additional, Sansone, Susanna-Assunta, additional, Schneider, Jesper, additional, Tijdink, Joeri, additional, and Vergoulis, Thanasis, additional

Published
2022
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15. Building the Molecular Biodiversity Greece Community

Author

Aravanopoulos, Filippos A, Arvanitidis, Christos, Bista, Iliana, Dailianis, Thanos, Galanis, Alex, Ioannidis, Panagiotis, Kapli, Paschalia, Klapa, Maria I., Kolovos, Petros, Kotoulas, Georgios, Magoulas, Antonios N., Manousaki, Tereza, Pafilis, Evangelos, Papageorgiou, Aristotelis C., Papakostas, Spiros, Paragkamian, Savvas, Pavlidis, Pavlos, Pavloudi, Christina, Poulakakis, Nikos, Psomopoulos, Fotis, Reczko, Martin, Sagonas, Kostas, Stamatakis, Alexandros, Theofanopoulou, Constantina, Triantafyllidis, Alexandros, Tsigenopoulos, Costas S., Vasileiadou, Katerina, and Zafeiropoulos, Haris

Subjects
strategy document, molecular biodiversity, Greece, network of networks, community building
Abstract

In the face of the biodiversity crisis, concerted efforts towards understanding the effects of climate change and habitat loss and fragmentation, both locally and globally, are urgently needed. These are often attempted by leveraging the advances of modern genomics and bioinformatics methodologies. Especially in biodiversity hotspots, the need to understand, monitor and mitigate the loss of biodiversity is pivotal. Greece is a country with especially high endemism. A large percentage of its endemic species is threatened by climate change and human activities. To this end, the national academic community in biodiversity genomics has established a corresponding network of scientists from various Greek research institutes and universities covering different disciplines of biodiversity research. The network aims to support and combine individual actions to establish a Task Force that will channel the flow of information amongst researchers, policy makers, stakeholders and the local society. Our overarching goal is to build a sustainable community and infrastructure for the efficient management of the entire molecular biodiversity data cycle (i.e., from production and storage to the analysis and modelling of data, development of computational tools, and knowledge extraction). Using national and European infrastructures, such as ELIXIR and LifeWatch, we envision to set the ground for studying biodiversity through the lens of biodiversity genomics and offer evidence-based knowledge to guide management of the habitats and the biodiversity they host, as well as the implementation of appropriate policies.

Published
2022
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18. Visualization of Functional Aspects of microRNA Regulatory Networks Using the Gene Ontology

Author

Symeonidis, Alkiviadis, Tollis, Ioannis G., Reczko, Martin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael, editor, Maglaveras, Nicos, editor, Chouvarda, Ioanna, editor, Koutkias, Vassilis, editor, and Brause, Rüdiger, editor

Published
2006
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19. Using Treemaps to Visualize Phylogenetic Trees

Author

Arvelakis, Adam, Reczko, Martin, Stamatakis, Alexandros, Symeonidis, Alkiviadis, Tollis, Ioannis G., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael, editor, Oliveira, José Luís, editor, Maojo, Víctor, editor, Martín-Sánchez, Fernando, editor, and Pereira, António Sousa, editor

Published
2005
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24. Bioinformatics

Author

Reczko, Martin, Suhai, Sándor, Poustka, Annemarie, Engelmann, Uwe, Schäfer, Manuela, and Meinzer, Hans-Peter

Published
1995
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27. Hnf1b haploinsufficiency differentially affects developmental target genes in a new renal cysts and diabetes mouse model

Author

Niborski, Leticia L., primary, Paces-Fessy, Mélanie, additional, Ricci, Pierbruno, additional, Bourgeois, Adeline, additional, Magalhães, Pedro, additional, Kuzma-Kuzniarska, Maria, additional, Lesaulnier, Celine, additional, Reczko, Martin, additional, Declercq, Edwige, additional, Zürbig, Petra, additional, Doucet, Alain, additional, Umbhauer, Muriel, additional, and Cereghini, Silvia, additional

Published
2021
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28. DOME: recommendations for supervised machine learning validation in biology

Author

Walsh, Ian, Fishman, Dmytro, Garcia-Gasulla, Dario, Titma, Tiina, Pollastri, Gianluca, Capriotti, Emidio, Casadio, Rita RC, Capella-Gutierrez, Salvador, Cirillo, Davide, Del Conte, Alessio, Dimopoulos, Alexandros A.C., Del Angel, Victoria Dominguez, Dopazo, Joaquin, Fariselli, Piero, Fernández, José Maria, Huber, Florian, Kreshuk, Anna, Lenaerts, Tom, Martelli, Pier Luigi, Navarro, Arcadi, Broin, Pilib, Piñero, Janet, Piovesan, Damiano, Reczko, Martin, Ronzano, Francesco, Satagopam, Venkata, Savojardo, Castrense, Spiwok, Vojtěch, Tangaro, Marco Antonio, Tartari, Giacomo, Salgado, David, Valencia, Alfonso, Zambelli, Federico, Harrow, Jennifer, Psomopoulos, Fotis F.E., Tosatto, Silvio S.C.E., Walsh, Ian, Fishman, Dmytro, Garcia-Gasulla, Dario, Titma, Tiina, Pollastri, Gianluca, Capriotti, Emidio, Casadio, Rita RC, Capella-Gutierrez, Salvador, Cirillo, Davide, Del Conte, Alessio, Dimopoulos, Alexandros A.C., Del Angel, Victoria Dominguez, Dopazo, Joaquin, Fariselli, Piero, Fernández, José Maria, Huber, Florian, Kreshuk, Anna, Lenaerts, Tom, Martelli, Pier Luigi, Navarro, Arcadi, Broin, Pilib, Piñero, Janet, Piovesan, Damiano, Reczko, Martin, Ronzano, Francesco, Satagopam, Venkata, Savojardo, Castrense, Spiwok, Vojtěch, Tangaro, Marco Antonio, Tartari, Giacomo, Salgado, David, Valencia, Alfonso, Zambelli, Federico, Harrow, Jennifer, Psomopoulos, Fotis F.E., and Tosatto, Silvio S.C.E.

Abstract

In the version of this Comment initially published, an error appeared in the “Specificity” equation displayed in the middle-right panel of Fig. 2. Originally reading “ fp/fp+tn”, the equation has been corrected to read: “ tn/tn+fp”. The error has been corrected in the online version of the Article. *A list of authors and their affiliations appears online., SCOPUS: no.j, SCOPUS: er.j, info:eu-repo/semantics/published

Published
2021

29. COVID-19: best practices, tools and contact points in Greece

Author

Papadopoulou, Elli, Tsakonas, Giannis, Poulas, Konstantinos, Thanos, Dimitris, Karamitros, Timokratis, Pantazis, Nikolaos, Reczko, Martin, Tavernarakis, Nektarios, Cournia, Zoe, and Psomopoulos, Fotis E.

Subjects
Greece, tools, best practices, research data, collaboration, COVID
Abstract

Athena Research Center (ARC), in the context of activities undertaken betweenOpenAIRE National Open Access Desk,RDA National NodeandELIXIR-GR, organiseda new series of informative and educational webinars around COVID-19 research. Τhe new series of digital events follows thefirst webinar held in Aprilthat aimed at collecting and promoting all efforts and knowledge around managing the virus crisis to the Greek scientific and academic community. In this series, the purpose focuses, also, on knowledge exchange based on Open Science practices and on training in research data management and software development. The digital events were in collaboration with the following scientific institutions:National and Kapodistrian University of Athens,National Center for Research & Technology Hellas,Hellenic Pasteur Institute,Biomedical Sciences Research Center “Alexander Fleming”,Biomedical Research Foundation of the Academy of Athens,Foundation for Research and Technology Hellas,Hellenic Academic Libraries Link, and the research infrastructureInspired-RIs.

Published
2020
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33. Update on ELIXIR CONVERGE, communities, focus groups and Local EGA progesss

Author

Reczko, Martin and Dimopoulos, Alexandros

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ComputingMilieux_COMPUTERSANDSOCIETY, GeneralLiterature_MISCELLANEOUS
Abstract

Brief update on Greek node participation in ELIXIR Converge, communities, focus groups and implementation studies. Update on progress for Greek local EGA instance.

Published
2020
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34. The ELIXIR-Greece Galaxy server including best practices tools and workflows for the analysis of SARS-CoV-2 data

Author

Dimopoulos, Alexandros and Reczko, Martin

Subjects
SARS-CoV-2, usegaxaly
Abstract

The Galaxy Community and ELIXIR had organised a webinar available here series to demonstrate how open software and public research infrastructures can be used in analysing and publishing SARS-CoV2 data. Best practices for the analysis of this data were presented for Genomics, Proteomics, Evolution, and Cheminformatics. For the Greek life science community, we installed a local Galaxy instance at https://usegalaxy.elixir-greece.org that provides all tools used in these webinars as well as the standard tools of the reference Galaxy distribution. The instance operates on 3 servers with a total of 48 CPUs, 192 GB total memory and 3ΤΒ disk space, initially without quotas per user. Depending on user needs, additional resources (CPU, RAM, storage) and tools can be installed. Within the Genomics/Variant Calling workbench, the initial analysis of the SARS-CoV-2 genome, as published on bioRxiv can be reproduced and adapted to the users data. Comprehensive training material for different workflows in Galaxy is available at https://training.galaxyproject.org &nbsp

Published
2020
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49. Bacterial production and direct functional screening of expanded molecular libraries for discovering inhibitors of protein aggregation

Author

Delivoria, Dafni C., primary, Chia, Sean, additional, Habchi, Johnny, additional, Perni, Michele, additional, Matis, Ilias, additional, Papaevgeniou, Nikoletta, additional, Reczko, Martin, additional, Chondrogianni, Niki, additional, Dobson, Christopher M., additional, Vendruscolo, Michele, additional, and Skretas, Georgios, additional

Published
2019
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50. Divergent Innate and Epithelial Functions of the RNA-Binding Protein HuR in Intestinal Inflammation

Author

Christodoulou-Vafeiadou, Eleni, primary, Ioakeimidis, Fotis, additional, Andreadou, Margarita, additional, Giagkas, Giorgos, additional, Stamatakis, George, additional, Reczko, Martin, additional, Samiotaki, Martina, additional, Papanastasiou, Anastasios D., additional, Karakasiliotis, Ioannis, additional, and Kontoyiannis, Dimitris L., additional

Published
2018
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