Supplementary Materials

Supplementary Materials for:

Interconnected Network Motifs Control Podocyte Morphology and Kidney Function

Evren U. Azeloglu, Simon V. Hardy, Narat John Eungdamrong, Yibang Chen, Gomathi Jayaraman, Peter Y. Chuang, Wei Fang, Huabao Xiong, Susana R. Neves, Mohit R. Jain, Hong Li, Avi Ma'ayan, Ronald E. Gordon, John Cijiang He,* Ravi Iyengar*

*Corresponding author. E-mail: ravi.iyengar@mssm.edu (R.I.); cijiang.he@mssm.edu (J.C.H.)

This PDF file includes:

  • Methods
  • Fig. S1. Results for enrichment analysis for down-regulated proteomic components in glomeruli from puromycin-induced nephropathy animals.
  • Fig. S2. Enrichment analysis for the second proteomics experiment (biological replicate) with puromycin-induced nephropathy rats.
  • Fig. S3. Protein-protein interaction network constructed with down-regulated components as seed nodes along with one intermediate.
  • Fig. S4. Multimodal experimental constraints for the multicompartmental dynamic model of cAMP/PKA signaling network topology.
  • Fig. S5. Analysis of CREB activity by EMSA to confirm CREB binding to DNA.
  • Fig. S6. Process for building dynamic graphs and visual summary of the associated computational methods.
  • Fig. S7. Dynamic graphs of individual component and motif activities.
  • Fig. S8. Relative contribution of FFM paths and their lifetimes.
  • Fig. S9. Spread of RT-PCR and morphometric data for animal studies.
  • Fig. S10. High-magnification transmission electron microscopy (TEM) images showing in vivo actin bundles.
  • Table S1. Proteins that were significantly up- or down-regulated according to differential proteomics of glomeruli from control (saline-injected) and puromycin-injected rats.
  • Table S2. Abundance of different PKA subunits as measured by the two independent proteomic experiments.
  • Table S3. Simulation parameters for the computational model.
  • Table S4. Parameter normalized local sensitivity analysis.
  • Table S5. Abundance of glomerular and tubular markers as quantified by proteomic analysis.
  • References (4893)

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Citation: E. U. Azeloglu, S. V. Hardy, N. J. Eungdamrong, Y. Chen, G. Jayaraman, P. Y. Chuang, W. Fang, H. Xiong, S. R. Neves, M. R. Jain, H. Li, A. Ma'ayan, R. E. Gordon, J. C. He, R. Iyengar, Interconnected Network Motifs Control Podocyte Morphology and Kidney Function. Sci. Signal. 7, ra12 (2014).

© 2014 American Association for the Advancement of Science