I am analysing metagenomic data from human cohort studies with a primary focus on female health, including aspects related to the usage of hormonal contraceptives and other available metadata relevant for female health. This cohort would be used to build a gene and protein catalogue using genes predicted from the assembled contigs of the stool metagenomic data (both female and male samples) and the corresponding translated proteins. Abundance of proteins will be linked to metadata relevant for female health, so the analysis is focusing on the protein catalogue and profile abundance table generated from the raw data. Further, the data will be used for statistical downstream analysis, so also general metadata such as age, sex and antibiotic usage would be required for our project. Anonymized IDs will be used to link metadata und protein abundance to the samples. No raw sequencing data would be made publicly available, but we would like to make the gene and/or protein catalog publicly available as part of a publication.
We already have the raw sequencing data from the LLDeep cohort based on a request from 15th of May 2023 by Shen Jin, who is a member of our lab. I would like to use this data also for the above described project. Additionally, we would like to request the plasma untargeted metabolomics data to investigate metabolite-microbiome interactions, focusing on metabolites associated with sex hormones. The abundance of metabolites would be used for statistical downstream analysis and the raw spectra for similarity search and molecular networking. Similar to above, no raw data would be made publicly available, but we would like to include a feature table mapping features to samples and annotations in a publication.