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Chromenone derivatives as CRM1 inhibitors for targeting glioblastoma
Princiotto, Salvatore; Jiménez, Lucía; Domínguez, Lucía; Sequeira, João G. N.; Mourato Paulo, Cristiana Isabel; Orea-Soufi, AlbaGlioblastoma (GBM) is one of the most aggressive and deadly cancers. Due to the complexity and redundancy within signaling networks in GBM, targeted inhibitors of specific pathways have shown only limited success. The nuclear export receptor chromosome region maintenance 1 (CRM1) has recently emerged as a promising therapeutic target, as its inhibition can simultaneously disrupt multiple key oncogenic drivers. ...
Proof-of-Principle That Cellular Automata Can Be Used to Predict Infestation Ri...
Sequeira, João G. N.; Nobre, Tânia; Duarte, Sónia; Jones, Dennis; Esteves, Bruno; Nunes, LinaOver the past few decades, species distribution modelling has been increasingly used to monitor invasive species. Studies herein propose to use Cellular Automata (CA), not only to model the distribution of a potentially invasive species but also to infer the potential of the method in risk prediction of Reticulitermes grassei infestation. The test area was mainland Portugal, for which an available presence-only...
Multiplexed cellular profiling identifies an organoselenium compound as an inhi...
Jimenez, Lucia; Mayoral‐Varo, Victor; Amenábar, Carlos; Ortega, Judit; Sequeira, João G. N.; Machuqueiro, Miguel; Mourato, Cristiana; Silvestri, RomanoChromosomal region maintenance 1 (CRM1 also known as Xpo1 and exportin-1) is the receptor for the nuclear export controlling the intracellular localization and function of many cellular and viral proteins that play a crucial role in viral infections and cancer. The inhibition of CRM1 has emerged as a promising therapeutic approach to interfere with the lifecycle of many viruses, for the treatment of cancer, and...
Proof-of-Principle That Cellular Automata Can Be Used to Predict Infestation Ri...
Sequeira, João G. N.; Nobre, Tânia; Duarte, Sónia; Jones, Dennis; Esteves, Bruno; Nunes, LinaOver the past few decades, species distribution modelling has been increasingly used to monitor invasive species. Studies herein propose to use Cellular Automata (CA), not only to model the distribution of a potentially invasive species but also to infer the potential of the method in risk prediction of Reticulitermes grassei infestation. The test area was mainland Portugal, for which an available presence-only...