Supplementary Materials

Supplementary Material for:

A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set

Timothy E. Sweeney,* Aaditya Shidham, Hector R. Wong, Purvesh Khatri*

*Corresponding author. E-mail: tes17{at}stanford.edu (T.E.S.); pkhatri{at}stanford.edu (P.K.)

Published 13 May 2015, Sci. Transl. Med. 7, 287ra71 (2015)
DOI: 10.1126/scitranslmed.aaa5993

This PDF file includes:

  • Materials and Methods
  • Fig. S1. Labeled PCA comparing healthy controls, SIRS/trauma patients, and sepsis patients.
  • Fig. S2. Violin plots for the data sets included in the discovery multicohort analysis.
  • Fig. S3. Neutrophil percentages for the Glue Grant patients with both complete blood count and microarray data.
  • Fig. S4. Performance of the infection z score in the sorted monocytes from the Glue Grant cohort.
  • Fig. S5. Performance of the infection z score in the sorted T cells from the Glue Grant cohort.
  • Fig. S6. Linear models of SIRS criteria and the infection z score.
  • Fig. S7. The infection z score in non–time-matched data sets.
  • Fig. S8. Comparison of the infection z scores in patients with acute infections to healthy controls and patients with autoimmune diseases.
  • Fig. S9. Ingenuity Pathway Analysis results for the 11-gene set.
  • Fig. S10. Schematic of the entire integrated multicohort analysis.
  • Legends for tables S1 to S4
  • Table S5. Linear models of infection score in the Glue Grant data.
  • Table S6. Comparison of infection z score across infection types.
  • Table S7. In silico transcription factor binding analyses for the 11-gene set.
  • Legend for table S8
  • Legend for movie S1
  • References (5579)

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Other Supplementary Material for this manuscript includes the following:

  • Table S1 (Microsoft Excel format). Summary spreadsheet of all data sets referenced in the manuscript.
  • Table S2 (.csv format). Design matrix of individual phenotypes for multicohort analysis.
  • Table S3 (.csv format). Summary statistics for the 82 genes that passed significance, heterogeneity, and effect size filtering after multicohort analysis.
  • Table S4 (Microsoft Excel format). Probe-level data for all 11 genes in the diagnostic set for all patients in the multicohort analysis.
  • Table S8 (.csv format). Design matrix for cell type enrichment analyses.
  • Movie S1 (.mp4 format). Rotation of a time-course–labeled PCA of trauma patients.

[Download Tables S1 to S3 and S8]

[Download Movie S1]