Use Case 3: Compounds to Reverse Disease Signatures
Version 1

Workflow Type: Playbook Workflow Builder Workflow

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
  2. Kim, S. et al. PubChem 2023 update. Nucleic Acids Research vol. 51 D1373–D1380 (2022). doi:10.1093/nar/gkac956

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Inputs

ID Name Description Type
step-1-data Input File Upload a Data File
  • File
step-3-data Input File Upload a Data File
  • File

Steps

ID Name Description
step-1 Input File Upload a Data File
step-2 Resolve a Gene Signature from a File Load a gene signature into a standard format
step-3 Input File Upload a Data File
step-4 Resolve a Gene Signature from a File Load a gene signature into a standard format
step-5 Scored Genes from Signature Treat signature as a weighted set of genes
step-6 Scored Genes from Signature Treat signature as a weighted set of genes
step-7 SigCom LINCS Signature Search Query LINCS L1000 Signatures
step-8 Extract LINCS L1000 Chemical Perturbagens Extract signatures from the results
step-9 SigCom LINCS Signature Search Query LINCS L1000 Signatures
step-10 Extract LINCS L1000 Chemical Perturbagens Extract signatures from the results
step-11 Mean Scored Values Take the mean value across multiple scores
step-12 Extract FDA Approved Drugs Filter the drugs with PubChem APIs

Outputs

ID Name Description Type
step-1-output File URL URL to a File
  • File
step-2-output Gene Signature A gene expression signature
  • File
step-3-output File URL URL to a File
  • File
step-4-output Gene Signature A gene expression signature
  • File
step-5-output Scored Genes ZScores of Genes
  • File
step-6-output Scored Genes ZScores of Genes
  • File
step-7-output SigCom LINCS Signature Search Results LINCS L1000 Signatures Query Results
  • File
step-8-output Scored Drugs ZScores of Drugs
  • File
step-9-output SigCom LINCS Signature Search Results LINCS L1000 Signatures Query Results
  • File
step-10-output Scored Drugs ZScores of Drugs
  • File
step-11-output Scored Drugs ZScores of Drugs
  • File
step-12-output Scored Drugs ZScores of Drugs
  • File

Version History

Version 1 (earliest) Created 16th Jan 2025 at 20:51 by Daniel Clarke

Initial commit


Frozen Version-1 6cccd14
help Creators and Submitter
Creator
  • Playbook Partnership NIH CFDE
Submitter
Citation
NIH CFDE, P. P. (2025). Use Case 3: Compounds to Reverse Disease Signatures. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.1248.1
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Created: 16th Jan 2025 at 20:51

Last updated: 16th Jan 2025 at 20:52

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