Data set for "Cell-type specific auditory responses in the striatum are shaped by feedforward inhibition"
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https://zenodo.org/record/10641632
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资源简介:
Data set for: Cell-type specific auditory responses in the striatum are shaped by feedforward inhibition. Mélanie Druart, Megha Kori, Corryn Chaimowitz, Catherine Fan, Tanya Sippy. Cell Reports (2024) https://doi.org/10.1016/j.celrep.2024.115090
There are 4 files in this upload:
1. The file named "2024_Druart_CellReports.pdf" is the Open Access pdf of the online publication in Cell Reports.
2. The file named "Druart_data_code_invivo.zip" (~6.62 MB) is a zipped version of a folder ‘Druart_data_code_invivo’, which contains the data analyzed in the study along with the Matlab codes used to generate the published figures. To access the data and the codes, first unzip the file, add the folder with subfolders to the Matlab path and run the different codes. The current folder must be the main folder (‘Druart_data_code’). Each code computes and plots the results used in the corresponding figure.
The subfolder ‘Data’ contains the data structure ‘data.mat’ to be analyzed.
The subfolder ‘Functions’ contains functions called by the main codes.
The subfolder ‘Codes’ contains the following codes:
‘intermediate_structure.m’: computes the results and stores them in a new data structured called ‘int_data’.
‘Figure_1.m’: computes and plots the results for the panels F-K of Figure 1.
‘Figure_2.m’: computes and plots the results for the panels C-J, L of Figure 2.
‘Figure_S1.m’: computes and plots the results for the panels B-D, F, H-I of Figure S1.
‘Figure_S2.m’: computes and plots the results for the panels B, D-E, G-H of Figure S2.
The data structures contain the following fields:
‘Mouse_Name’: name of the mouse.
‘Mouse_RecordingDate’: date of recording (YMD).
‘Mouse_DateOfBirth’: date of birth of the mouse (YMD).
‘Brain_State’: experimental condition of mouse (AN = anesthetized under ketamine/xylazine anesthesia, AW = awake animal).
‘Mouse_Sex’: sex of the mouse (F or M).
‘Mouse_Genotype’: genotype of the mouse: D2 = D2-Cre x Ai32 mouse.
‘Optopatch’: putative cellular identity, identification by optopatch protocol.
‘Cell_Recovered’: indicate cells that have been labelled and anatomically recovered (TRUE).
‘Cell_Counter’: cell recorded in a given mouse.
‘Sweep_Counter’: number of the sweep recorded for a given neuron (data were acquired across successive continuous sweeps of 30-300 s).
‘Sweep_Type’: experimental condition during that sweep (characterization = electrophysiological identification of the neurons; optopatch = channelrhodopsin-assisted identification of neuronal identity; sound = sound presentation).
‘Sweep_MembranePotential’: membrane potential recording (mV).
‘Sweep_CurrentInjected’: current injected into the cell (pA).
‘Sweep_APThresh’: Threshold (V) used to detect action potentials (AP) during current injection.
‘Sound_Data’: Bonsai-triggered timepoints for sound presentation and sound identity.
‘Threshold’: Threshold (V) used to detect UP and DOWN states in neurons recorded under anesthesia.
3. The file named “Druart_data_code_ex_vivo.zip” (~720.87 MB) contains data analyzed in Figures 3 and 4, and S5 panel G in the study along with Igor code used to calculate values in these figures.
The folder A1_CC contains 2 subfolders:
A1_CC contains 30 subfolders, each of which contains the data of one cell, represented in Figure 3N.
A1_CC_gabazine contains 32 subfolders, each of which contains the data of one cell, in Figure 3O.
The folder MGB_CC contains 2 subfolders:
A1_MGB contains 36 subfolders, each of which contains the data of one cell, represented in Figure 3P.
A1_MGB_gabazine contains 30 subfolders, each of which contains the data of one cell, in Figure 3Q.
The folder A1_CC_DREADDs: contains 32 subfolders, each of which contains the data of one cell, in Figure 4D.
The folder MGB_CC_DREADDs: contains 32 subfolders, each of which contains the data of one cell, in Figure 4E.
The folder A1_VC contains 2 subfolders:
A1_VC contains 28 subfolders, each of contains the data of one cell organized into two subfolders with recordings performed at -80 and +10 mV, in Figure 3E-H.
The folder MGB_VC contains 2 subfolders:
MGB_VC contains 28 subfolders, each of which contains the data of one cell organized into two subfolders with recordings performed at -80 and +10 mV, in Figure 3J-M.
PV_VC contains 42 subfolders, each of which contains data for one cell, organized into subfolders with recordings of single stim or 10Hz stim, in Figure 4B-C (single stim) and Figure S5G.
4. The file named "Druart_data_code_photometry.zip" (~6.62 MB) is a zipped version of the folder ‘Druart_data_code_photometry’, which contains the data analyzed in the study along with the Matlab codes used to generate the published figures. To access the data and the codes, first unzip the file, add the folder with subfolders to the Matlab path and run the different codes. The current folder must be the main folder (‘Druart_data_code’). Each code computes and plots the results used in the corresponding figure.
The subfolder ‘Data’ contains the data structure ‘data.mat’ to be analyzed.
The subfolder ‘Functions’ contains functions called by the main codes.
The subfolder ‘Codes’ contains the following codes:
‘Figure_4.m’: computes and plots the results for the panels G-H of Figure 4.
‘Figure_S6.m’: computes and plots the results for the panels C-D of Figure S6.
The data structures contain the following fields:
‘Mouse_Name’: name of the mouse.
‘Mouse_RecordingDate’: date of recording (YMD).
‘Mouse_DateOfBirth’: date of birth of the mouse (YMD).
‘Cell_TargetedBrainArea’: Brain area targeted (pDS).
‘Mouse_Sex’: sex of the mouse (F or M).
‘Mouse_Genotype’: genotype of the mouse: D2 = D2-Cre mouse.
‘Virus_Type’: type of injected virus (gCAMP).
‘Sound_Data’: Bonsai-triggered timepoints for sound presentation and sound identity.
‘Sweep_Counter’: membrane potential recording (mV) after cutting of the APs.
‘Sweep_Type’: experimental condition during that sweep (saline = control, CNO = activation of DREADDS).
‘Sweep_FP’: filtered and down-sampled fiber photometry data.
创建时间:
2024-12-24



