| Mammalian autophagy: how does it work? CF Bento, M Renna, G Ghislat, C Puri, A Ashkenazi, M Vicinanza, ... Annual review of biochemistry 85, 685-713, 2016 | 722 | 2016 |
| Transcriptional regulation of mammalian autophagy at a glance J Füllgrabe, G Ghislat, DH Cho, DC Rubinsztein Journal of cell science 129 (16), 3059-3066, 2016 | 203 | 2016 |
| Withdrawal of essential amino acids increases autophagy by a pathway involving Ca2+/calmodulin-dependent kinase kinase-β (CaMKK-β) G Ghislat, M Patron, R Rizzuto, E Knecht Journal of Biological Chemistry 287 (46), 38625-38636, 2012 | 151 | 2012 |
| Autophagy in dendritic cells G Ghislat, T Lawrence Cellular & molecular immunology 15 (11), 944-952, 2018 | 129 | 2018 |
| Intracellular protein degradation in mammalian cells: recent developments E Knecht, C Aguado, J Cárcel, I Esteban, JM Esteve, G Ghislat, JF Moruno, ... Cellular and Molecular Life Sciences 66, 2427-2443, 2009 | 107 | 2009 |
| PTEN increases autophagy and inhibits the ubiquitin-proteasome pathway in glioma cells independently of its lipid phosphatase activity R Errafiy, C Aguado, G Ghislat, JM Esteve, A Gil, M Loutfi, E Knecht PloS one 8 (12), e83318, 2013 | 81 | 2013 |
| Transcriptional regulation of Annexin A2 promotes starvation-induced autophagy K Moreau, G Ghislat, W Hochfeld, M Renna, E Zavodszky, G Runwal, ... Nature communications 6 (1), 8045, 2015 | 76 | 2015 |
| NF-κB–dependent IRF1 activation programs cDC1 dendritic cells to drive antitumor immunity G Ghislat, AS Cheema, E Baudoin, C Verthuy, PJ Ballester, K Crozat, ... Science immunology 6 (61), eabg3570, 2021 | 62 | 2021 |
| Annexin A5 stimulates autophagy and inhibits endocytosis G Ghislat, C Aguado, E Knecht Journal of Cell Science 125 (1), 92-107, 2012 | 61 | 2012 |
| XIAP and cIAP1 amplifications induce Beclin 1-dependent autophagy through NFκB activation F Lin, G Ghislat, S Luo, M Renna, F Siddiqi, DC Rubinsztein Human molecular genetics 24 (10), 2899-2913, 2015 | 59 | 2015 |
| Recent progress on the prospective application of machine learning to structure-based virtual screening G Ghislat, T Rahman, PJ Ballester Current opinion in chemical biology 65, 28-34, 2021 | 48 | 2021 |
| MolTarPred: a web tool for comprehensive target prediction with reliability estimation A Peón, H Li, G Ghislat, KS Leung, MH Wong, G Lu, PJ Ballester Chemical biology & drug design 94 (1), 1390-1401, 2019 | 36 | 2019 |
| New Ca2+-dependent regulators of autophagosome maturation G Ghislat, E Knecht Communicative & integrative biology 5 (4), 308-311, 2012 | 33 | 2012 |
| Ca2+–Sensor Proteins in the Autophagic and Endocytic Traffic G Ghislat, E Knecht Current Protein and Peptide Science 14 (2), 97-110, 2013 | 27 | 2013 |
| Predicting cancer drug response in vivo by learning an optimal feature selection of tumour molecular profiles LC Nguyen, S Naulaerts, A Bruna, G Ghislat, PJ Ballester Biomedicines 9 (10), 1319, 2021 | 13 | 2021 |
| A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling C Piyawajanusorn, LC Nguyen, G Ghislat, PJ Ballester Briefings in Bioinformatics, 2021 | 9 | 2021 |
| Regulation of autophagy by amino acid starvation involving Ca2+ G Ghislat, E Knecht Autophagy: Cancer, Other Pathologies, Inflammation, Immunity, Infection, and …, 2015 | 9 | 2015 |
| Interpretable machine learning models to predict the resistance of breast cancer patients to doxorubicin from their microRNA profiles AZ Ogunleye, C Piyawajanusorn, A Gonçalves, G Ghislat, PJ Ballester Advanced Science 9 (24), 2201501, 2022 | 8 | 2022 |
| Machine learning models to predict in vivo drug response via optimal dimensionality reduction of tumour molecular profiles L Nguyen, S Naulaerts, A Bomane, A Bruna, G Ghislat, PJ Ballester bioRxiv, 277772, 2018 | 6 | 2018 |
| Identification and validation of carbonic anhydrase II as the first target of the anti-inflammatory drug Actarit G Ghislat, T Rahman, PJ Ballester Biomolecules 10 (11), 1570, 2020 | 4 | 2020 |
David RubinszteinUniversity of CambridgeVerified email at cam.ac.uk
