Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • Resource and Technical Advances
    • Clinical Medicine
    • Reviews
    • Editorials
    • Perspectives
    • Top read articles
  • JCI This Month
    • Current issue
    • Past issues

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Editorials
  • Viewpoint
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
Cell-type deconvolution with immune pathways identifies gene networks of host defense and immunopathology in leprosy
Megan S. Inkeles, … , Matteo Pellegrini, Robert L. Modlin
Megan S. Inkeles, … , Matteo Pellegrini, Robert L. Modlin
Published September 22, 2016
Citation Information: JCI Insight. 2016;1(15):e88843. https://doi.org/10.1172/jci.insight.88843.
View: Text | PDF
Research Article Immunology Infectious disease

Cell-type deconvolution with immune pathways identifies gene networks of host defense and immunopathology in leprosy

  • Text
  • PDF
Abstract

Transcriptome profiles derived from the site of human disease have led to the identification of genes that contribute to pathogenesis, yet the complex mixture of cell types in these lesions has been an obstacle for defining specific mechanisms. Leprosy provides an outstanding model to study host defense and pathogenesis in a human infectious disease, given its clinical spectrum, which interrelates with the host immunologic and pathologic responses. Here, we investigated gene expression profiles derived from skin lesions for each clinical subtype of leprosy, analyzing gene coexpression modules by cell-type deconvolution. In lesions from tuberculoid leprosy patients, those with the self-limited form of the disease, dendritic cells were linked with MMP12 as part of a tissue remodeling network that contributes to granuloma formation. In lesions from lepromatous leprosy patients, those with disseminated disease, macrophages were linked with a gene network that programs phagocytosis. In erythema nodosum leprosum, neutrophil and endothelial cell gene networks were identified as part of the vasculitis that results in tissue injury. The present integrated computational approach provides a systems approach toward identifying cell-defined functional networks that contribute to host defense and immunopathology at the site of human infectious disease.

Authors

Megan S. Inkeles, Rosane M.B. Teles, Delila Pouldar, Priscila R. Andrade, Cressida A. Madigan, David Lopez, Mike Ambrose, Mahdad Noursadeghi, Euzenir N. Sarno, Thomas H. Rea, Maria T. Ochoa, M. Luisa Iruela-Arispe, William R. Swindell, Tom H.M. Ottenhoff, Annemieke Geluk, Barry R. Bloom, Matteo Pellegrini, Robert L. Modlin

×

Figure 6

Specific networks for clinical subtypes of leprosy (T-lep and RR).

Options: View larger image (or click on image) Download as PowerPoint
Specific networks for clinical subtypes of leprosy (T-lep and RR).
Gene ...
Gene ontology, KEGG pathway, and Reactome analysis were performed with ClueGO (Cytoscape software) for the most relevant WGCNA modules and the top 250 genes of the proportional median (PM) list for each leprosy clinical subtype. Genes selected from gene sets composed of either PM lists or WGCNA modules were overlapped with the top 250 genes in the specific cell-type signatures related with (A) RR and (B) T-lep. Connections were visualized by Gephi software. Blue circles represent genes, red circles denote immune functions, yellow circles show cell type, and gray lines represent connections between genes and immune functions and/or cell types. (A) RR function analysis shows genes (blue circles) connected with immune and neural biology (red) functions. RR, reversal reaction; T-lep, tuberculoid leprosy.

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts