There is a newer version of the record available.

Published December 18, 2023 | Version v2
Dataset Open

Supplementary Materials: The molecular landscape of premature aging diseases defined by multilayer network exploration

Creators

  • 1. Aix Marseille Univ, INSERM, MMG, 13385, Marseille, France
  • 2. Roche Pharma Research and Early Development, Basel, Switzerland
  • 3. School of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, United Kingdom
  • 4. Aix Marseille Univ, CNRS, I2M, Marseille, France
  • 5. Servier Research & Development, Saclay, France

Description

This dataset contains supplementary materials related to study "The molecular landscape of premature aging diseases defined by
multilayer network exploration" (Beust C., Valdeolivas A., Baptista A., Brière G., Ozisik O, Baudot A.)

Supplementary Figures:
Supplementary Figure S1: Clustering of diseases with 50 iterations of itRWR
Supplementary Figure S2: Clustering of diseases with 150 iterations of itRWR
 

Supplementary Tables:
Supplementary Table S1:Premature Aging HPO phenotypes
Supplementary Table S2: The 67 PA diseases and their 132 associated genes from ORPHANET
Supplementary Table S3: Number of nodes, edges, and densities of the 4 network layers composing the multiplex
biological network
Supplementary Table S4: Parameters used for MultiXrank
 

Supplementary Files:
Supplementary File S1: Csv file containing the enrichment analysis results computed using the genes associated with
physiological aging
Supplementary File S2: Excel file containing the gene nodes belonging to each of the 67 communities
Supplementary File S3: Excel file containing the gene nodes belonging to each cluster (i.e., the union of the genes
belonging to the set of communities composing the cluster)
Supplementary File S4: Csv file containing the diseases belonging to each cluster
Supplementary File S5: Excel file containing the enrichment of clusters using lists of physiological aging genes
Supplementary File S6: Csv file containing the number of genes differentially expressed in human blood, skin, brain,
muscle and breast during aging, from the study of Irizar et al.
Supplementary File S7: Excel file containing the enrichment analysis results of the 67 communities, using GO Bio-
logical Processes and Cellular Components, and Reactome pathways functional annotations
Supplementary File S8: Excel file containing the enrichment analysis results of the 6 clusters, using GO Biological
Processes and Cellular Components, and Reactome pathways functional annotations. The last 2 columns contain
the seed nodes of the cluster annotated for the corresponding function and their corresponding diseases
Supplementary File S9: Excel file containing enrichment analysis results of the 6 clusters, using HPO phenotypes

Files

LandscapePA_SuppMat.zip

Files (12.9 MB)

Name Size Download all
md5:23b5107196ce47c4c59373b31c37a968
12.9 MB Preview Download