Use Case 2: Explain MOAs of Side Effects for Approved Drugs
Version 1

Workflow Type: Playbook Workflow Builder Workflow

The workflow starts with selecting atrial fibrillation as the search term. The workflow starts with selecting Ibrutinib as the search term. Gene sets with set labels containing atrial fibrillation were queried from Enrichr[1]. Identified matching terms from the MGI Mammalian Phenotype Level 4 2021[2] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for MGI_Mammalian_Phenotype_Level_4_2021. A consensus gene set was created by only retaining genes that appear in at least two sets. Identified matching terms from the GWAS Catalog 2019[4] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for GWAS_Catalog_2019. A consensus gene set was created by only retaining genes that appear in at least two sets. The gene sets collected were combined into one gene set library. Gene sets with set labels containing Ibrutinib were queried from Enrichr[1]. Identified matching terms from the LINCS L1000 Chem Pert Consensus Sigs[5] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for LINCS_L1000_Chem_Pert_Consensus_Sigs. Multiple GMTs were combined into one GMT. The collection of gene sets was then visualized with a Supervenn diagram Fig..

  1. Xie, Z. et al. Gene Set Knowledge Discovery with Enrichr. Current Protocols vol. 1 (2021). doi:10.1002/cpz1.90
  2. Blake, J. A. et al. Mouse Genome Database (MGD): Knowledgebase for mouse–human comparative biology. Nucleic Acids Research vol. 49 D981–D987 (2020). doi:10.1093/nar/gkaa1083
  3. Sollis, E. et al. The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource. Nucleic Acids Research vol. 51 D977–D985 (2022). doi:10.1093/nar/gkac1010
  4. 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

Click and drag the diagram to pan, double click or use the controls to zoom.

Inputs

ID Name Description Type
step-1-data Disease Input Start with a Disease
  • File
step-2-data Drug Input Start with a Drug
  • File
step-10-data Assemble GMT from Gene Sets Group multiple independently generated gene sets into a single GMT
  • File

Steps

ID Name Description
step-1 Disease Input Start with a Disease
step-2 Drug Input Start with a Drug
step-3 Extract Gene Sets Containing the Disease in the Set Label Find Disease Terms in Enrichr Libraries
step-4 Extract MGI Mammalian Phenotypes Associated with the Term Search Extract Terms from the MGI Mammalian Phenotype Level 4 2021 Library
step-5 Enrichr Phenotype Set as GMT Load Enrichr set as GMT
step-6 Compute Consensus Gene Set Find genes which appear in more than one set
step-7 Extract GWAS Phenotypes Associated with the Term Search Extract Terms from the GWAS Catalog 2019 Library
step-8 Enrichr Phenotype Set as GMT Load Enrichr set as GMT
step-9 Compute Consensus Gene Set Find genes which appear in more than one set
step-10 Assemble GMT from Gene Sets Group multiple independently generated gene sets into a single GMT
step-11 Extract Gene Sets Containing the Drug in the Set Label Find Drug Terms in Enrichr Libraries
step-12 Extract L1000 Chem Pert Signatures Containing the Term Search Extract Terms from the LINCS L1000 Chem Pert Consensus Sigs Library
step-13 Enrichr Drug Set as GMT Load Enrichr set as GMT
step-14 Concatenate GMTs Join several GMTs into one
step-15 Compare sets with Supervenn Interactively analyse overlap between sets

Outputs

ID Name Description Type
step-1-output Disease Disease Term
  • File
step-2-output Drug Drug Term
  • File
step-3-output Enrichr Term Search Results Results of an Enrichr Term Search
  • File
step-4-output Enrichr Phenotype Set Set of Phenotypes
  • File
step-5-output Gene Matrix Transpose Terms mapped to genes
  • File
step-6-output Gene Set Set of Genes
  • File
step-7-output Enrichr Phenotype Set Set of Phenotypes
  • File
step-8-output Gene Matrix Transpose Terms mapped to genes
  • File
step-9-output Gene Set Set of Genes
  • File
step-10-output Gene Matrix Transpose Terms mapped to genes
  • File
step-11-output Enrichr Term Search Results Results of an Enrichr Term Search
  • File
step-12-output Enrichr Drug Set Set of Drugs
  • File
step-13-output Gene Matrix Transpose Terms mapped to genes
  • File
step-14-output Gene Matrix Transpose Terms mapped to genes
  • File
step-15-output Supervenn Visualization A visualization for comparing sets
  • File

Version History

Version 1 (earliest) Created 13th Jan 2025 at 21:04 by Daniel Clarke

Initial commit


Frozen Version-1 9ed112a
help Creators and Submitter
Creator
  • Playbook Partnership NIH CFDE
Submitter
Citation
NIH CFDE, P. P. (2025). Use Case 2: Explain MOAs of Side Effects for Approved Drugs. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.1238.1
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Created: 13th Jan 2025 at 21:04

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