The mitochondrial multi-omic response to exercise training across tissues

Mitochondria volume adjusted differential analysis results

RData files represent the omics differential analysis results as a single large table per ome. In R use the `load` command to add the data frame to your session. 

These results files were generated using code from this repo: https://github.com/MoTrPAC/motrpac-rat-training-mitochondria, specifically see the notebooks in the dea folder.

Each ome has its own file: TRANSCRPT (for RNA-seq transcriptomics, PROT for protein abundance, and PHOSPHO for phosphosites). Each file provides a data frame with the result of each specific time point per sex. These differential analysis results are based on a single model of all time points per sex, for each measured analyte. For example, in the TRNSCRPT table, consider all male time points of a gene, then their statistics are based on a single DESeq2 model, from which timewise contrasts were extracted. The data field "selection_fdr" can be used to identify the analytes that were selected at 5% FDR when considering all time points. This is referred to as the "training-level" analysis in the main paper, see https://www.biorxiv.org/content/10.1101/2022.09.21.508770v2.abstract. 

For the full documentation of these data frames and their fields see the following GitHub repository: motrpac.github.io/MotrpacRatTraining6moData

After downloading and installing the package, see e.g., ? TRNSCRPT_ADRNL_DA for the full description of the data format of the  adrenal gland differential analysis results. This will include the description of each data field including: feature, assay, sex, comparison group, logFC, p-value, etc.

Cardiolipin data

Cardiolipin quantification per tissue is available as csv files.