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Raw Data for "On-demand cell-autonomous gene therapy for brain circuit disorders", Qiu et al. 2022 Science

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DataCite Commons2025-05-01 更新2025-04-17 收录
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https://rdr.ucl.ac.uk/articles/dataset/Raw_Data_for_On-demand_cell-autonomous_gene_therapy_for_brain_circuit_disorders_Qiu_et_al_2022_Science/20867117/1
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Raw Data for Qui et al. 2022 10.1126/science.abq6656 <br> <strong>On-demand cell-autonomous gene therapy for brain circuit disorders</strong> 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 <br> Content: EEG MEA Immuno Patch Clamp Electrophysiology <br> 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 <br> EEG files are .zip with different transmitters. See EEG_Keys.xlxs for whcih virus was used in each animal. <br> MEA files are divided in 2 separate .zip: 1. Fig2 and Fig S3 and S7. 2. Fig S6. <br> Immuno: all the raw images are in the .zip file seprated by Figure # <br> Patch Clamp Electrophysiology: all the raw .abf files are in the .zip file separated by Figure # <br> For more info or to request materials please contact the corrsponding author Gabriele Lignani g.lignani@ucl.ac.uk <br> <br>
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University College London
创建时间:
2022-10-27
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