Supplementary Materials

Supplementary Material for:

Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria

Hyun Jae Lee, Athina Georgiadou, Michael Walther, Davis Nwakanma, Lindsay B. Stewart, Michael Levin, Thomas D. Otto, David J. Conway, Lachlan J. Coin, Aubrey J. Cunnington*

*Corresponding author. Email: a.cunnington{at}imperial.ac.uk

Published 27 June 2018, Sci. Transl. Med. 10, eaar3619 (2018)
DOI: 10.1126/scitranslmed.aar3619

This PDF file includes:

  • Materials and Methods
  • Fig. S1. Estimates of the relative proportions of leukocyte subpopulations in subjects with severe and uncomplicated malaria.
  • Fig. S2. Validation of the gene-signature approach to estimate parasite developmental stage proportions.
  • Fig. S3. Differential gene expression between severe malaria and uncomplicated malaria phenotypes.
  • Fig. S4. Top functional network for the small LYSMD3 module.
  • Fig. S5. Association between gene expression and plasma protein concentrations.
  • Fig. S6. Host-pathogen interactions in severe malaria revealed through dual RNA sequencing.
  • Table S9. Univariate and multivariate associations of module eigengene values and parasite load with severity.
  • Legends for tables S1 to S8, S10, and S11
  • Legends for data set S1
  • References (8593)

[Download PDF]

Other Supplementary Material for this manuscript includes the following:

  • Table S1 (Microsoft Excel format). Human genes differentially expressed between malaria disease phenotypes in unadjusted and parasite load–adjusted analyses.
  • Table S2 (Microsoft Excel format). GO terms associated with human differentially expressed or significantly correlated genes in unadjusted and parasite load–adjusted analyses.
  • Table S3 (Microsoft Excel format). Predicted upstream regulators associated with human differentially expressed or significantly correlated genes in unadjusted and parasite load–adjusted analyses.
  • Table S4 (Microsoft Excel format). Human genes significantly correlated with parasite load and pathophysiological variables in unadjusted and parasite load– adjusted analyses.
  • Table S5 (Microsoft Excel format). P. falciparum genes differentially expressed in unadjusted and parasite load–adjusted analyses.
  • Table S6 (Microsoft Excel format). GO terms associated with parasite differentially expressed or significantly correlated genes in unadjusted and parasite load–adjusted analyses.
  • Table S7 (Microsoft Excel format). P. falciparum genes significantly correlated with parasite load and pathophysiological variables in unadjusted and parasite load–adjusted analyses.
  • Table S8 (Microsoft Excel format). Summary of modules obtained from combined whole-genome correlation network.
  • Table S10 (Microsoft Excel format). Summary and overlap of whole-genome correlation subnetworks for severe and uncomplicated malaria.
  • Table S11 (Microsoft Excel format). Summary of modules obtained from humanonly whole-genome correlation network.
  • Data set S1 (Microsoft Excel format). Subject-level clinical and laboratory data.

[Download Supplementary Tables]

[Download Dataset S1]