Predictive model for cytoneme guidance in Hedgehog signaling based on Ihog- Glypicans interaction Aguirre-Tamaral, Adrián Cambón Gandarias, Manuel Poyato Sánchez, Jesús David Soler Vizcaino, Juan Segundo Guerrero, Isabel Additional information Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s41467-022-33262-4. Acknowledgements We are grateful to and Pedro Ripoll and Ana-Citlali Gradilla for comments on the manuscript. We also thank to Laura González-Méndez, Carlos Jiménez-Jiménez, David Sánchez-Hernández and Eléanor Simon in I.G laboratory for their help with some experiments, the Confocal Facilities of the CBMSO and Bloomington and Vienna stock centers for fly stocks. This work was supported by grants BFU2017-83789-P, PID2020-114533GB-C21 and TENTACLES consortium RED2018-102411-T to I.G from the Spanish Ministry of Science, Innovation and Universities and by institutional grants from the Fundación Areces and Banco de Santander to the CBMSO. FPI fellowship from the Spanish Ministry of Science, Innovation and Universities supported A.A-T (BFU2017-83789- P). This work was also supported by grants RTI2018-098850-B-I00 to J.S from the MINECO-Feder (Spain), PY18-RT-2422 & A-FQM-311-UGR18 to M.C, D.P and J.S from the Junta de Andalucia (Spain), MECD (Spain) research grant FPI2015/074837 to M.C, and partially supported by the MECD (Spain) research grant FPU14/06304 and the European Research Council (Europe) Project ERC-COG-2019 WACONDY (grant agreement No 865711) to D.P. 2022-10-19T10:28:31Z 2022-10-19T10:28:31Z 2022-09-26 journal article Aguirre-Tamaral, A., Cambón, M., Poyato, D. et al. Predictive model for cytoneme guidance in Hedgehog signaling based on Ihog- Glypicans interaction. Nat Commun 13, 5647 (2022). [https://doi.org/10.1038/s41467-022-33262-4] https://hdl.handle.net/10481/77394 10.1038/s41467-022-33262-4 eng info:eu-repo/grantAgreement/ERC/H2020/WACONDY 865711 http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional Springer Nature