Gerardo Pepe
Bioinformatico / Biostatistico
Articoli pubblicati: 8 / Scopus h-index: 4 / # Citazioni: 67
via Giulio Tesauro, 67 Salerno (SA)
+39 3881604796
gerardopepe0@gmail.com /gerardo.pepe@uniroma2.it
07/12/1988
Formazione
2017 - 2020 PhD in Biologia Cellulare e Molecolare (BCM)
Titolo: Identification of genomics signatures of drug response and tumorigenesis.
Università di Roma Tor Vergata
2015 - 2017 Laurea Magistrale in Bioinformatica (LM6)
110/110 cum laude
Titolo: Systematic identification of informative genes for an improved prediction and interpretation of drug response mechanisms in cancer cell lines.
Università di Roma Tor Vergata
2015 Laurea Triennale in Scienze Biologiche (L13)
Titolo: RT-PCR validation of putative sex-specific transcripts in
Phlebotomus pernicious adult stage.
Università di Naploli, Federico II
Posizioni ricoperte
dal 2023 Ricercatore, RTDa
Methods for comparison and integrative analysis of healthy and control patients to develop targeted RNA based therapies.
Università di Roma Tor Vergata
dal 2021 Review Editor: Frontiers in Molecular Biosciences - Protein and RNA Networks.
dal 2020 al 2023 Post-doc, lab prof. Manuela Helmer-Citterich
Discovery and perturbation of pathogenic variations in the kinase network regulating cancer-associated super-enhancers.
Università di Roma Tor Vergata
Premi
2022 Contributo premiale per ricercatori ed assegnisti di ricerca
Regione Lazio
tutto quanto corrisponde a verità, ai sensi degli articoli 46 e 47 del D.P.R. 445 del 2000
Insegnamento
dal 2022 Modulo di Bioinformatica nel CI Bioinformatica e Genetica Medica – 6 CFU, corso fondamentale
Laurea triennale in Scienze Biologiche
Università di Roma Tor Vergata
dal 2021 Corso Biological Networks – 2 CFU, AAS
Laurea magistrale in Bioinformatica
Università di Roma Tor Vergata
dal 2019 Relatore di 3 tesi Magistrali in Bioinformatica.
dal 2018 Co-relatore di 7 tesi Magistrali in Bioinformatica.
dal 2017 Co-relatore di 14 tesi Triennali in Scienze Biologiche e Biotecnologie.
dal 2017 Tutor e membro di Commissione d’esame per il Corso di Biologia Molecolare per la laurea triennale in Scienze Biologiche.
Università di Roma Tor Vergata
dal 2017 Tutor e membro di Commissione d’esame per il Corso di Bioinformatica per la laurea triennale in Scienze Biologiche.
Università di Roma Tor Vergata
Background accademico / Esperienze
2021 GTN Smörgåsbord: A Global Galaxy Course – Corso online
RNA-Seq analysis, Single-cell RNA seq analysis, Proteomics Galaxy Training Network (GTN)
2021 Winter school 2021: ‘Bioinformatics for discovery in structural and functional biology’ – Corso online
Dipartimento di Farmacia e Biotecnologia dell’Università di Bologna
2021 Advanced Training Course in ‘Data mining in Aquaculture and Biomedicine’ – Corso online
Dipartimento di Biologia dell’Università di Roma Tor Vergata
2019 2nd International Workshop in cancer genomics
IRE, Regina Elena, Roma
2019 2nd U-PGx personalized medicine (Pharmacogenomics into the clinic, cancer genomics)
Università di Roma Tor Vergata
2019 DeepLearn 2019 (data clustering, deep learning in medicine, feature extraction, big data and statistical inference, knowledge discovery from complex data)
Varsavia, Global Expo
2016 RNA-seq data analysis workshop (NGS data processing, de novo transcriptome assembly and analysis)
Università di Napoli, Federico II
Lingue
Inglese Avanzato (B2)
Italiano Madrelingua
tutto quanto corrisponde a verità, ai sensi degli articoli 46 e 47 del D.P.R. 445 del 2000
Abilità tecniche
Linguaggi di programmazione: Python, Pandas, Sklearn, Seaborn (Clustermap, Heatmap), Bash, R, C, Ruby, MySQL, HTML, CSS, PHP.
Conoscenze computazionali:
HPC (High performance cluster), Galaxy, Big data manipulation and analysis, Feature selection, Machine learning (Elastic Net, Random Forest, SVR), Deep learning, NGS analysis, RNA-seq data analysis, Variant calling, Chip-seq analysis, biological networks analysis and comparison, R/Bioconductor
Esperienze sperimentali:
PCR, RT-PCR, PCR real-time, DNA and RNA extraction, DNA cloning, Electrophoretic mobility shift assay, DNA sequencing, Plasmid miniprep
Sistemi operativi:
Linux, Windows, macOS
Altro:
Sviluppatore di applicazioni web per la bioinformatica
Conferenze
2022 3D-BioInfo Annual General Meeting
Selected Talk: Identification of RNA modules in human lncRNAs
Wellcome Genome Campus, Hinxton, Regno Unito
2022 Annual conference of the Bioinformatics Italian Society (BITS) 2022
Selected Talk: Identification of RNA modules in human lncRNAs
Polo Santa Marta, Verona
2022 BEST HACKATHON 2022 – Invited Speaker
DNA, Big Data & Informatics
Macroarea di Ingegneria - Università di Roma Tor Vergata
2021 3D-Bioinfo Annual General meeting
Selected Talk: “Interactions RNA-RNA binding proteins”
Conferenza online
2021 Annual conference of the Bioinformatics Italian Society (BITS) 2021
Selected Talk: “Variation in the co-expression profile highlights the loss of miRNA-mRNA regulation in several cancers”
Conferenza online
2018 Annual conference of the Bioinformatics Italian Society (BITS) 2018
Abstract: “Systematic identification of informative genes for an improved prediction and interpretation of drug response mechanisms in cancer cell lines”
Università di Torino
tutto quanto corrisponde a verità, ai sensi degli articoli 46 e 47 del D.P.R. 445 del 2000
Publicazioni
1. Pepe, G., Appierdo, R., Carrino, C., Ballesio, F., Helmer-Citterich, M. and Gherardini, P.F. (2022) Artificial intelligence methods enhance the discovery of RNA interactions. Frontiers in Molecular Biosciences, 1113.
Scopus Citations: - / Journal Impact Factor: 6.113
2. Pepe, G., Carrino, C., Parca, L. and Helmer-Citterich, M. (2022)
Dissecting the genome for drug response prediction. Methods in molecular biology.
Data Mining Thecniques for the Life Sciences, 187-196.
Scopus Citations: - / Journal Impact Factor: 1.37
3. Pepe, G., Parca, L., Viviani, L., Ausiello, G., and Helmer-Citterich, M. (2022a). Variation in the co-expression profile highlights a loss of miRNA-mRNA regulation in multiple cancer types. Non-Coding RNA Research 7, 98–105.
Scopus Citations: 1 / Journal Impact Factor: 5.978
4. Pepe, G., Guarracino, A., Ballesio, F., Parca, L., Ausiello, G., and Helmer-Citterich, M. (2022). Evaluation of potential miRNA sponge effects of SARS genomes in human. Non-Coding RNA Research 7, 48–53.
Scopus Citations: 4 / Journal Impact Factor: 5.978
5. PDBe-KB consortium (2022). PDBe-KB: collaboratively defining the biological context of structural data. Nucleic Acids Res. 50, D534–D542.
Scopus Citations: 16 / Journal Impact Factor: 19.160
6. Novelli, G., Liu, J., Biancolella, M., Alonzi, T., Novelli, A., Patten, J.J., Cocciadiferro, D., Agolini, E., Colona, V.L., Rizzacasa, B., et al. (2021). Inhibition of HECT E3 ligases as potential therapy for COVID-19. Cell Death Dis. 12, 310.
Scopus Citations: 20 / Journal Impact Factor: 9.685
7. Guarracino A., Pepe* G., Ballesio F., Adinolfi M., Pietrosanto M., Sangiovanni E., Vitale I., Ausiello G., Helmer-Citterich M. BRIO: a web server for RNA sequence and structure motif scan. Nucleic Acids Res.2021; 49: W67–W71.
Scopus Citations: 3 / Journal Impact Factor: 19.160
8. Parca, L., Pepe*, G., Pietrosanto, M., Galvan, G., Galli, L., Palmeri, A., Sciandrone, M., Ferrè, F., Ausiello, G., and Helmer-Citterich, M. (2019). Modeling cancer drug response through drug-specific informative genes. Sci. Rep. 9, 15222.
Scopus Citations: 23 / Journal Impact Factor: 4.996
*co-primo autore
Altre info ed interessi
Interessi Programmazione, Statistica, Data analysis, NGS, articoli scientifici, viaggiare, cucinare, cinema, e letteratura.
Patente di guida A, B
Privacy
Autorizzo al trattamento dei miei dati personali ai sensi del Decreto Legislativo Italiano n. 196/2003 Regolazione (EU) GDPR n.679/2016.
tutto quanto corrisponde a verità, ai sensi degli articoli 46 e 47 del D.P.R. 445 del 2000
2017 - 2020
2015 - 2017
2015
2023 – now 2020 - 2023
2022 - now 2021 - now
2019 - now 2018 - now 2017 - now 2017 - now
2017 - now
Gerardo Pepe Bioinformatician / Biostatician
Via Taurano, 40 Pagani (SA) +39 3881604796
gerardopepe0@gmail.com /gerardo.pepe@uniroma2.it 07/12/1988
Education
PhD in Cellular and Molecular Biology (BCM)
Dissertation: Identification of genomics signatures of drug response and tumorigenesis. Tor Vergata University of Rome
Master’s degree in bioinformatics (LM6) 110/110 cum laude Dissertation: Systematic identification of informative genes for an improved prediction and interpretation of drug response mechanisms in cancer cell lines.
Tor Vergata University of Rome
Bachelor’s degree in Biological Science (L13)
Dissertation: RT-PCR validation of putative sex-specific transcripts in Phlebotomus pernicious adult stage. Federico II University, Naples
Positions held
Researcher RTD-a Dept. Biology Development of gene therapy and RNA-based drug technology Tor Vergata University of Rome
Post-doc, lab of prof. Manuela Helmer-Citterich Discovery and perturbation of pathogenic variations in the kinase network regulating cancer-associated super-enhancers. Tor Vergata University of Rome
Teaching experience
Professor of Bioinformatics – 6CFU Bachelor degree theses in Biological Sciences
Tor Vergata University of Rome
Professor of Biological Networks – AAS 2CFU Master Degree in Bioinformatics
Tor Vergata University of Rome
Supervisor of 2 Master Degree theses in Bioinformatics. Co-supervisor of Master Degree theses in Bioinformatics and Biotechnology. Co-supervisor of 11 Bachelor degree theses in Biological Sciences.
Tutor for the Molecular Biology course in the Degree in Biological Sciences.
Tor Vergata University of Rome
Tutor for Bioinformatics course in the Degree in Biological Sciences.
Tor Vergata University of Rome
ai sensi degli art. 46 e 47 del D.P.R. n. 445 del 2000
Academic background / Experience
2021 Review Editor: Frontiers in Molecular Biosciences - Protein and RNA Networks.
2021 GTN Smo?rga?sbord: A Global Galaxy Course RNA-Seq analysis, Single-cell RNA seq analysis, Proteomics
2021 Winter school 2021: ‘Bioinformatics for discovery in structural and functional biology’
2021 Advanced Training Course in ‘Data mining in Aquaculture and Biomedicine’
2019 2nd International Workshop in cancer genomics
IRE, Regina Elena, Rome
2019 2nd U-PGx personalized medicine (Pharmacogenomics into the clinic, cancer genomics)
Tor Vergata University of Rome
2019 DeepLearn 2019 (data clustering, deep learning in medicine, feature extraction, big data and statistical inference, knowledge discovery
from complex data)
Warsaw, Global Expo
2016 RNA-seq data analysis workshop (NGS data processing, de novo transcriptome assembly and analysis)
Federico II University, Naples
Languages
English Advanced (B2) Italian Mother tongue
Tecnical skills Programming languages: Python, Pandas, Sklearn, Seaborn (Clustermap, Heatmap), Bash, R, C, Ruby, MySQL, HTML, CSS, PHP. Computational and theoretical knowledge: HPC (High performance cluster), Galaxy, Big data manipulation and analysis, Feature selection, Machine learning (Elastic Net, Random Forest, SVR), Deep learning, NGS analysis, RNA-seq data analysis, Variant calling, Chip-seq analysis, Biological networks analysis and comparison, R/Bioconductor Experimental experience: PCR, RT-PCR, PCR real-time, DNA and RNA extraction, DNA cloning, Electrophoretic mobility shift assay, DNA sequencing, Plasmid miniprep Operating system: Linux, Windows, macOS Others: Web application for bioinformatics developer
ai sensi degli art. 46 e 47 del D.P.R. n. 445 del 2000
Conferences
2023 SIBBM 2023 – Abstract A Feature-based Meta-analysis Approach to Unravel the
Pathophysiological Landscape of Autoimmune Diseases 2023 BITS 2023 – Abstract
A Feature-based Meta-analysis Approach to Unravel the Pathophysiological Landscape of Autoimmune Diseases
2022 3D-BioInfo – Selected Talk Identification of RNA modules in human lncRNAs
2022 BITS 2022 - Selected Talk
Identification of RNA modules in human lncRNAs
2022 BEST HACK 22 – Invited Speaker DNA, Big Data & Informatics
2021 3D-Bioinfo Annual meeting - Selected Talk Interactions RNA-RNA binding proteins
2021 BITS 2021 - Selected Talk Variation in the co-expression profile highlight the loss of miRNA-
mRNA regulation in several cancers
2018 BITS 2018 - Abstract Systematic identification of informative genes for an improved
prediction and interpretation of drug response mechanisms in cancer cell lines.
Publications
Clinical and functional characterization of COL2A1 p.Gly444Ser variant: From a fetal phenotype to a previously undisclosed postnatal phenotype (2023). Bone Reports 19, 101728.
Pericoli, G., Galardi, A., Paolini, A., Petrilli, L.L., Pepe, G., Palma, A., Colletti, M., Ferretti, R., Giorda, E., Levi Mortera, S., et al. (2023). Inhibition of exosome biogenesis affects cell motility in heterogeneous sub-populations of paediatric-type diffuse high-grade gliomas. Cell Biosci. 13, 207.
Cirotti, C., Taddei, I., Contadini, C., Di Girolamo, C., Pepe, G., De Bardi, M., Borsellino, G., Helmer-Citterich, M., and Barila?, D. (2024). NRF2 connects Src tyrosine kinase to ferroptosis resistance in glioblastoma. Life Sci Alliance 7. 10.26508/lsa.202302205.
Ballarino, M., Pepe, G., Helmer-Citterich, M., Palma, A. Exploring the landscape of tools and resources for the analysis of long non-coding RNAs. Computational and Structural Biotechnology Journal
Olmi, L., Pepe, G., Helmer-Citterich, M., Canini, A., Gismondi, A.
Looking for Plant microRNAs in Human Blood Samples: Bioinformatics Evidence and
Perspectives. Plant Foods for Human Nutrition, 1-8
Pepe, G., Appierdo, R., Carrino, C., Ballesio, F., Helmer-Citterich, M. and Gherardini, P.F.
Artificial intelligence methods enhance the discovery of RNA interactions. Frontiers in
Molecular Biosciences, 1113.
Pepe, G., Carrino, C., Parca, L. and Helmer-Citterich, M.
Dissecting the genome for drug response prediction. Data Mining Thecniques for the Life Sciences, 187-196.
Pepe, G., Parca, L., Viviani, L., Ausiello, G., and Helmer-Citterich, M. (2022a). Variation in the co-expression profile highlights a loss of miRNA-mRNA regulation in multiple cancer types. Non-Coding RNA Research 7, 98–105.
Pepe, G., Guarracino, A., Ballesio, F., Parca, L., Ausiello, G., and Helmer-Citterich, M. (2022). Evaluation of potential miRNA sponge effects of SARS genomes in human. Non- Coding RNA Research 7, 48–53.
PDBe-KB consortium (2022). PDBe-KB: collaboratively defining the biological context of structural data. Nucleic Acids Res. 50, D534–D542.
Novelli, G., Liu, J., Biancolella, M., Alonzi, T., Novelli, A., Patten, J.J., Cocciadiferro, D., Agolini, E., Colona, V.L., Rizzacasa, B., et al. (2021). Inhibition of HECT E3 ligases as potential therapy for COVID-19. Cell Death Dis. 12, 310.
Guarracino A., Pepe* G., Ballesio F., Adinolfi M., Pietrosanto M., Sangiovanni E., Vitale I., Ausiello G., Helmer-Citterich M. BRIO: a web server for RNA sequence and structure motif scan. Nucleic Acids Res. 2021; 49:W67–W71.
Parca, L., Pepe*, G., Pietrosanto, M., Galvan, G., Galli, L., Palmeri, A., Sciandrone, M., Ferre?, F., Ausiello, G., and Helmer-Citterich, M. (2019). Modeling cancer drug response through drug-specific informative genes. Sci. Rep. 9, 15222.
*co-first author
Interest Driving licence
Other information & interest
Programming, Statistics, Data analysis, NGS, Scientific readings, travelling, cooking, cinema, and literature.
A, B
Privacy
I hereby authorize the treatment of my personal data according to Italian Legislative Decree n. 196/2003 Regulation (EU) GDPR n.679/2016.
ai sensi degli art. 46 e 47 del D.P.R. n. 445 del 2000