- Rastreamento de alto conteúdo, Microscopia, Análise de bioimagens, Gestão de infraestruturas de investigação, Fibrose quística, CFTR, Ciência de dados, Tráfego secretório
Hugo Botelho
Contactos
Departamento de Química e BioquímicaSala/Gabinete 8.1.76 / 8.1.76
Ext. Principal 721027 / 528176
Telefone Direto +351 21 750 0659 / +351 21 750 0659
Extensão pessoal 721027
Email hmbotelho@ciencias.ulisboa.pt
Página Pessoal
Carreira Docente Universitário
Categoria Professor Auxiliar
Indicadores
ResearcherIDOrcid
Scopus
Google Scholar
CiênciaVitae
Palavras Chave
Keywords
- High Content Screening, Microscopy, Bioimage analysis, Facility Management, Cystic Fibrosis, CFTR, Data Science, Secretory traffic
Currículo Resumido
Hugo M. Botelho is an Assistant Professor at the Faculty of Sciences University of Lisbon. Researcher at the Biosystems and Integrative Sciences Institute (BioISI / FCUL). Scientist with a strong expertise in Cystic Fibrosis, high-content screening, microscopy, cell biology, bioimage analysis and drug discovery. Has authored 30 original peer reviewed publications, 4 book chapters, supervised students and post-docs and been involved in several scientific research projects, both as team member and principal investigator. Co-responsible for FCUL Microscopy Facility and manager of BioISI High-Throughput Screening Facility.
Interesses Científicos
Os meus interesses de investigação são a identificação e caracterização de proteínas e pequenas moléculas que regulam o tráfego intracelular da proteína CFTR na Fibrose Quística. Também desenvolvo ensaios de rastreamento de alto conteúdo, rotinas de análise de imagens biológicas (ImageJ, CellProfiler) e produtos de ciência de dados (R, Python) para a visualização, controlo de qualidade e normalização de dados de rastreamento biomolecular.
Scientific Interests
My research interests are the identification and characterization of proteins and small molecules which regulate the intracellular traffic of the CFTR protein in Cystic Fibrosis using microscopy and high throughput screening methods. I also develop high content screening assays, automated bioimage analysis routines (ImageJ, CellProfiler) and data science products (R, Python) for data visualization, quality control and data normalization in biomolecular screening datasets.
Publicações selecionadas
- Hagemeijer MC, Vonk AM, Awatade NT, Silva IAL, Tischer C, Hilsenstein V, Beekman JM, Amaral MD, Botelho HM (2021) AN OPEN-SOURCE HIGH-CONTENT ANALYSIS WORKFLOW FOR CFTR FUNCTION MEASUREMENTS USING THE FORSKOLIN-INDUCED SWELLING ASSAY. Bioinformatics, 36(24): 5686-5694
- Botelho HM, Uliyakina I, Awatade NT, Proença MC, Tischer C, Sirianant L, Kunzelmann K, Pepperkok R, Amaral MD (2015) PROTEIN TRAFFIC DISORDERS: AN EFFECTIVE HIGH-THROUGHPUT FLUORESCENCE MICROSCOPY PIPELINE FOR DRUG DISCOVERY. Sci Rep, 5, 9038
- Silva IAL, Dousova T, Ramalho S, Centeio R, Clarke LA, Railean V, Botelho HM, Holubová A, Valášková I, Yeh J-T, Hwang T-C, Farinha CM, Kunzelmann K, Amaral MD (2020) ORGANOIDS AS A PERSONALIZED MEDICINE TOOL FOR ULTRA-RARE MUTATIONS IN CYSTIC FIBROSIS: THE CASE OF S955P AND 1717-2A>G. Biochim Biophys Acta – Mol Basis Dis, 1866, 165905
- Santos JD, Canato S, Carvalho AS, Botelho HM, Aloria K, Amaral MD, Matthiesen R, Falcão AO, Farinha CM (2019) FOLDING STATUS IS DETERMINANT OVER TRAFFIC-COMPETENCE IN DEFINING CFTR INTERACTORS IN THE ENDOPLASMIC RETICULUM. Cells, 8(4): 353
- Awatade NT, Ramalho S, Silva IAL, Felício V, Botelho HM, de Poel E, Vonk A, Beekman JM, Farinha CM, Amaral MD (2018) R560S: A CLASS II CFTR MUTATION THAT IS NOT RESCUED BY CURRENT MODULATORS. J Cyst Fibros, 18(2):182-189