https://github.com/quantixed/p057p034
Data and code for manuscript number p057p034
https://github.com/quantixed/p057p034
Last synced: 15 days ago
JSON representation
Data and code for manuscript number p057p034
- Host: GitHub
- URL: https://github.com/quantixed/p057p034
- Owner: quantixed
- License: gpl-3.0
- Created: 2021-06-01T07:49:46.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-07-25T12:37:07.000Z (over 3 years ago)
- Last Synced: 2025-01-12T12:45:32.110Z (about 1 year ago)
- Language: IGOR Pro
- Size: 968 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# p057p034
Code and data for Küey et al. manuscript `#p057p034`
**Recruitment of clathrin to intracellular membranes is sufficient for vesicle formation**
Cansu Küey, Méghane Sittewelle, Gabrielle Larocque, Miguel Hernández-González & Stephen J. Royle
*eLife* 2022;11:e78929. [DOI: https://doi.org/10.7554/eLife.78929](https://doi.org/10.7554/eLife.78929)
## Data
- CD8Dynole - text files (Fig 5 - supp 1)
- Clathrin - superplot data (Fig 3)
- Dynamin - superplot data (Fig 5)
- EM - IMOD models and text files (Fig 4)
- EpsinFCHO - superplot data (Figs 6 and 7)
- Hooks - alternate hooks (Fig 3 - supp 1)
- MitoPitLocations - raw counts (Fig 2)
- MitoPitProfiles - 3 channel line profiles (Fig 1)
- Vps4Actin - superplot data (Fig 5 - supp 2)
## R
- `MitoGraph` R project to process outputs from [MitoGraph](https://github.com/vianamp/MitoGraph). Dataset from the paper and associated outputs are included.
## Scripts
- `ImageJ_Mitopits_FreeSpotsQuantification.ijm` ImageJ macro to quantify number of free spots for EpsinKD and FchoKO experiments.
- `MitoPitEM.ipf` Igor code to quantify diameter of MitoPits from EM images (in `Data/EM/`).
- `MitoPits.ipf` Igor code to analyse line profiles through MitoPits (in `Data/MitoPitLocations/`).
- `SpotSize.ipf` Igor code to calculate spot size for hot-wired CME/dynole experiments (in `Data/CD8Dynole/`).
Superplots are generated using [SuperPlot](https://github.com/quantixed/SuperPlot) in IgorPro.