Raw Data for "On-demand cell-autonomous gene therapy for brain circuit disorders", Qiu et al. 2022 Science
Raw Data for Qui et al. 2022 10.1126/science.abq6656
On-demand cell-autonomous gene therapy for brain circuit disorders
Yichen Qiu, Nathanael O’Neill, Benito Maffei, Clara Zourray, Amanda Almacellas Barbanoj, Jenna C. Carpenter,Steffan P. Jones, Marco Leite, Thomas J. Turner, Francisco C. Moreira, Albert Snowball, Tawfeeq Shekh-Ahmad, Vincent Magloire, Serena Barral, Manju A. Kurian, Matthew C. Walker, Stephanie Schorge, Dimitri M. Kullmann, Gabriele Lignani
Content:
EEG
MEA
Immuno
Patch Clamp Electrophysiology
All data are in a open source format. MEA files can be analysed using the MATLAB-based developed by Prof Michela Chiappalone and requests should be direct to:
Michela Chiappalone michela.chiappalone@unige.it
Ilaria Colombi Ilaria.Colombi@iit.it
EEG files are .zip with different transmitters. See EEG_Keys.xlxs for whcih virus was used in each animal.
MEA files are divided in 2 separate .zip: 1. Fig2 and Fig S3 and S7. 2. Fig S6.
Immuno: all the raw images are in the .zip file seprated by Figure #
Patch Clamp Electrophysiology: all the raw .abf files are in the .zip file separated by Figure #
For more info or to request materials please contact the corrsponding author Gabriele Lignani g.lignani@ucl.ac.uk