Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jimmy Caroli"'
Autor:
Dimitri Van Simaeys, Adriana De La Fuente, Serena Zilio, Alessia Zoso, Victoria Kuznetsova, Oscar Alcazar, Peter Buchwald, Andrea Grilli, Jimmy Caroli, Silvio Bicciato, Paolo Serafini
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-18 (2022)
Development of probes specific for human β-cells could aid in delivery of therapeutics and monitoring β-cells mass during diabetes progression or islet transplantation. Here the authors identify two RNA aptamers specific for β-cells that allow eff
Externí odkaz:
https://doaj.org/article/13e8929c62214a04a74a270d1400d915
Autor:
Giulia Della Chiara, Federica Gervasoni, Michaela Fakiola, Chiara Godano, Claudia D’Oria, Luca Azzolin, Raoul Jean Pierre Bonnal, Giulia Moreni, Lorenzo Drufuca, Grazisa Rossetti, Valeria Ranzani, Ramona Bason, Marco De Simone, Francesco Panariello, Ivan Ferrari, Tanya Fabbris, Francesca Zanconato, Mattia Forcato, Oriana Romano, Jimmy Caroli, Paola Gruarin, Maria Lucia Sarnicola, Michelangelo Cordenonsi, Alberto Bardelli, Nicola Zucchini, Andrea Pisani Ceretti, Nicolò Maria Mariani, Andrea Cassingena, Andrea Sartore-Bianchi, Giuseppe Testa, Luca Gianotti, Enrico Opocher, Federica Pisati, Claudio Tripodo, Giuseppe Macino, Salvatore Siena, Silvio Bicciato, Stefano Piccolo, Massimiliano Pagani
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
The role of epigenetic deregulation in colorectal cancer (CRC) is not fully understood yet. Here the authors use patient-derived organoids, epigenomics and single-cell RNA-seq to reveal that YAP/TAZ are key regulators that bind to active enhancers in
Externí odkaz:
https://doaj.org/article/d24dcbd0a4754b4e8fdf6d5dd0925565
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Circular RNAs (circRNAs) are known to act as important regulators of the microRNA (miRNA) activity. Yet, computational resources to identify miRNA:circRNA interactions are mostly limited to already annotated circRNAs or affected by high rates of fals
Externí odkaz:
https://doaj.org/article/afec92cafea049edb26df0c36e135f06
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Since the pioneering NCI-60 panel of the late'80's, several major screenings of genetic profiling and drug testing in cancer cell lines have been conducted to investigate how genetic backgrounds and transcriptional patterns shape cancer's response to
Externí odkaz:
https://doaj.org/article/0574ff03d77742e3ac34fa204966119a
Autor:
Jimmy Caroli, Alibek Mamyrbekov, Kasper Harpsøe, Sahar Gardizi, Linda Dörries, Eshan Ghosh, Alexander S. Hauser, Albert J. Kooistra, David E. Gloriam
Publikováno v:
Nature Chemical Biology. 19:531-535
Autor:
Gáspár Pándy-Szekeres, Jimmy Caroli, Alibek Mamyrbekov, Ali A Kermani, György M Keserű, Albert J Kooistra, David E Gloriam
Publikováno v:
Pándy-Szekeres, G, Caroli, J, Mamyrbekov, A, Kermani, A A, Keserű, G M, Kooistra, A J & Gloriam, D E 2023, ' GPCRdb in 2023 : state-specific structure models using AlphaFold2 and new ligand resources ', Nucleic Acids Research, vol. 51, no. D1, pp. D395–D402 . https://doi.org/10.1093/nar/gkac1013
G protein-coupled receptors (GPCRs) are physiologically abundant signaling hubs routing hundreds of extracellular signal substances and drugs into intracellular pathways. The GPCR database, GPCRdb supports >5000 interdisciplinary researchers every mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fec3f4d3a6661a622532423e01051b6
https://curis.ku.dk/ws/files/336196272/gkac1013.pdf
https://curis.ku.dk/ws/files/336196272/gkac1013.pdf
Autor:
Jimmy Caroli, Alibek Mamyrbekov, Kasper Harpsøe, Sahar Gardizi, Linda Dörries, Eshan Ghosh, Alexander Hauser, Albert Kooistra, David Gloriam
Biased signaling is a paradigm in signal transduction whereby hormones, probes, or drugs bind the same receptor but engage different intracellular signaling pathways leading to distinct functional outcomes. Whereas there is a wealth of knowledge of b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a11ac73dbd339303f540d89d777140
https://doi.org/10.21203/rs.3.rs-2155951/v1
https://doi.org/10.21203/rs.3.rs-2155951/v1
Autor:
Francesco Grandi, Jimmy Caroli, Oriana Romano, Matteo Marchionni, Mattia Forcato, Silvio Bicciato
Publikováno v:
Grandi, F, Caroli, J, Romano, O, Marchionni, M, Forcato, M & Bicciato, S 2022, ' popsicleR : A R Package for Pre-processing and Quality Control Analysis of Single Cell RNA-seq Data ', Journal of Molecular Biology, vol. 434, no. 11, 167560 . https://doi.org/10.1016/j.jmb.2022.167560
The advent of single-cell sequencing is providing unprecedented opportunities to disentangle tissue complexity and investigate cell identities and functions. However, the analysis of single cell data is a challenging, multi-step process that requires
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::999f6bf69ef964307adee620cbeca235
https://hdl.handle.net/11577/3478747
https://hdl.handle.net/11577/3478747
Autor:
David E. Gloriam, Christian Munk, György M. Keserű, Gáspár Pándy-Szekeres, Jimmy Caroli, Alexander S. Hauser, Steven Pilger, Mauricio Esguerra, Albert J. Kooistra
Publikováno v:
Nucleic Acids Research
Pandy-Szekeres, G, Esguerra, M, Hauser, A S, Caroli, J, Munk, C, Pilger, S, Keseru, G M, Kooistra, A J & Gloriam, D E 2022, ' The G protein database, GproteinDb ', Nucleic Acids Research, vol. 50, no. D1, pp. D518-D525 . https://doi.org/10.1093/nar/gkab852
Pandy-Szekeres, G, Esguerra, M, Hauser, A S, Caroli, J, Munk, C, Pilger, S, Keseru, G M, Kooistra, A J & Gloriam, D E 2022, ' The G protein database, GproteinDb ', Nucleic Acids Research, vol. 50, no. D1, pp. D518-D525 . https://doi.org/10.1093/nar/gkab852
Two-thirds of signaling substances, several sensory stimuli and over one-third of drugs act via receptors coupling to G proteins. Here, we present an online platform for G protein research with reference data and tools for analysis, visualization and
Publikováno v:
Bioinformatics. 36:2266-2268
SummaryHere we present APTANI2, an expanded and optimized version of APTANI, a computational tool for selecting target-specific aptamers from high-throughput-Systematic Evolution of Ligands by Exponential Enrichment data through sequence-structure an