Research Object Crate for Use Case 3: Compounds to Reverse Disease Signatures

A file containing GEO Aging Signatures was first uploaded. The file containing GEO Aging Signatures was loaded as a gene signature. A file containing GTEx Aging Signatures was first uploaded. The file containing GTEx Aging Signatures was loaded as a gene signature. Significant genes were extracted from the GEO Aging Signatures. Significant genes were extracted from the GTEx Aging Signatures. Reversers and mimickers from over 1 million signatures were identified using SigCom LINCS[1]. Resolved drugs from the LINCS L1000 Chemical Perturbagens library. Reversers and mimickers from over 1 million signatures were identified using SigCom LINCS[1]. Resolved drugs from the LINCS L1000 Chemical Perturbagens library. The mean across multiple Scored Drugs is computed. The drugs were filtered by FDA Approved Drugs with the help of PubChem APIs[3]. 1. Evangelista, J. E. et al. SigCom LINCS: data and metadata search engine for a million gene expression signatures. Nucleic Acids Research vol. 50 W697–W709 (2022). doi:10.1093/nar/gkac328 3. Kim, S. et al. PubChem 2023 update. Nucleic Acids Research vol. 51 D1373–D1380 (2022). doi:10.1093/nar/gkac956

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