Comparing Rab interactive studies

Authors: Francis Bourassa (@francis-B)

Email: [email protected]

Description

This repository contains the code used to generate the comparison between RAB interactive studies (Figure 2D; Supplementary Figure 2C) and the correlation between replicate (Supplementary figure) in the following paper:

St-Laurent, V. G., Marchand, B., Larcher, R., Nassari, S., Bourassa, F., Moreau, M., Jean, D., Boisvert, F.-M., Brunet, M. A., & Jean, S. (2024). A Proximity MAP of RAB GTPases. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2024.11.05.621850

Data files

This analysis was perform by comparing results from the following articles:

• Gillingham, A. K., Sinka, R., Torres, I. L., Lilley, K. S., & Munro, S. (2014). Toward a Comprehensive Map of the Effectors of Rab GTPases. In Developmental Cell (Vol. 31, Issue 3, pp. 358–373). Elsevier BV. https://doi.org/10.1016/j.devcel.2014.10.007
• Gillingham, A. K., Bertram, J., Begum, F., & Munro, S. (2019). In vivo identification of GTPase interactors by mitochondrial relocalization and proximity biotinylation. In eLife (Vol. 8). eLife Sciences Publications, Ltd. https://doi.org/10.7554/elife.45916
• Li, Y., Wang, Y., Zou, L., Tang, X., Yang, Y., Ma, L., Jia, Q., Ni, Q., Liu, S., Tang, L., Lin, R., Wong, E., Sun, W., Wang, L., Wei, Q., Ran, H., Zhang, L., Lian, H., Huang, W., … Wan, Y. (2016). Analysis of the Rab GTPase Interactome in Dendritic Cells Reveals Anti-microbial Functions of the Rab32 Complex in Bacterial Containment. In Immunity (Vol. 44, Issue 2, pp. 422–437). Elsevier BV. https://doi.org/10.1016/j.immuni.2016.01.027

Their dataset can be downloaded respectively from here, here and here. Our own dataset can be found in data/ folder.

The GO annotations and the GO terms used in this analysis can be downloaded from the notebook directly.

Finally, the orthologs tables used to compare fruit fly genes and mouse genes with human genes can be found in the orthologs/ folder. All tables were generated with DIOP Ortholog Finder.

Environment

The environment used for the analysis can be found in the conda/ folder and be created with conda with the following command from the repo directory:

conda install -f conda/environment.yml