bioRxiv ScienceSearch

bioRxiv · 10.1101/006965

The whole diagram of the discovered host immunological pathways

Abstract

Tfh initiates four eradicable immunities. Tfh includes FDC, LTi, IL21 CD4 T cell, and IgG/M B cell. Treg initiates four tolerable immunities. Treg includes DCreg, ILCreg, TGF{beta} CD4 T cell, and IgA B cell. TH1/TH1-like is immunity for intracellular bacteria/protozoa and type 4 delayed type hypersensitivity. TH1 includes M1 macrophage, mDC2, Tc1 CD8 T cell, IFNg CD4 T cell, ILC1, iNKT1, and IgG3 B cell. TH1-like includes M2 macrophage, ILC1, suppressive CD8 T cell, IFNg/TGF{beta} CD4 T cell, regulatory iNKT cells, and IgA1 B cell. TH2/TH9 is immunity for helminths and type1 IgE mediated hypersensitivity. TH2 includes iEOS eosinophil, Langerhans cell, basophil/MCt mast cell, IL-4 CD4 T cell, ILC2, iNKT2, and IgE/IgG4 B cell. TH9 includes rEOS eosinophil, basophils/mast cell MCct, IL-9 CD4 T cell, ILC2, regulatory iNKT cells, and IgA2 B cell. TH22/TH17 is immunity for extracellular bacteria/fungi and type 3 immune complex hypersensitivity. TH22 includes N1 neutrophils, mDC1, IL-22 CD4 T cell, ILC3(NCR+), iNKT17, and IgG2 B cell. TH17 includes N2 neutrophils, IL-17 CD4 T cell, regulatory iNKT cells, ILC3(NCR-), and IgA2 B cell. TH{beta}/TH3 is immunity for viruses and type 2 antibody dependent cytotoxic hypersensitivity. TH{beta} includes NK1 natural killer cell, pDC, Tc2 CD8 T cell, IL10 CD4 T cell, ILC10, iNKT10, and IgG1 B cell. TH3 includes NK2 natural killer cell, suppressive CD8 T cell, ILC10, IL-10/TGF{beta} CD4 T cell, regulatory iNKT cells, and IgA1 B cell. Summary sentenceThe summarized framework of host immunities to explain their relations to specific pathogens and hypersensitivities

Source connections

Explore related subjects

Keep this discovery

BibTeXRIS

Wanchung Hu. 2014-07-08. The whole diagram of the discovered host immunological pathways. https://doi.org/10.1101/006965

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

ImSig: A resource for the identification and quantification of immune signatures in blood and tissue transcriptomics data

The outcome of many diseases is commonly correlated with the immune response at the site of pathology. The ability to monitor the status of the immune system in situ provides a mechanistic understanding of disease progression, a prognostic assessment and a guide for therapeutic intervention. Global transcriptomic data can be deconvoluted to provide an indication of the cell types present and their activation state, but the gene signatures proposed to date are either disease-specific or have been derived from data generated from isolated cell populations. Here we describe an improved set of immune gene signatures, ImSig, derived based on their co-expression in blood and tissue datasets. ImSig includes validated lists of marker genes for the main immune cell types and a number of core pathways. When used in combination with network analysis, ImSig is an accurate and easy to use approach for monitoring immune phenotypes in transcriptomic data derived from clinical samples.

Immunology

Biophysical Attributes of CpG Presentation Control TLR9 Signaling to Differentially Polarize Systemic Immune-Responses

It is currently unknown whether and how mammalian pathogen-recognition receptors (PRR) respond to biophysical patterns of pathogen-associated molecular danger-signals. Using synthetic pathogen-like particles (PLPs) that mimic physical properties of bacteria or large-viruses, we have discovered that the quality and quantity of Toll-like-receptor-9 (TLR9)-signaling by CpG in mouse dendritic cells (mDC) is uniquely dependent on biophysical attributes, specifically the surface-density of CpG and size of the presenting PLP. These physical patterns control DC-programming by regulating kinetics and magnitude of MyD88-IRAK4 signaling, NF{kappa}B-driven responses, and STAT3 phosphorylation, which in turn controls differential T cell responses and in vivo immune-polarization, especially T-helper 1 (Th1) versus T-helper 2 (Th2) antibody responses. Our findings suggest that innate immune cells can sense and respond not only to molecular, but also pathogen-associated physical patterns (PAPPs), broadening the tools for modulating immunity, helping to better understand innate response mechanisms to pathogens and develop new and improved vaccines.

Immunology

Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immunity

The immune system of vertebrate species consists of many different cell types that have distinct functional roles and are subject to different evolutionary pressures. Here, we first analysed gene conservation of all major immune cell types in human and mouse. Our results revealed higher gene turnover and faster evolution of trans-membrane proteins in NK cells compared to other immune cell populations, and especially T cells, but similar conservation of nuclear and cytoplasmic protein coding genes. To validate these findings in a distant vertebrate species, we used single-cell RNA-Sequencing of lck:GFP cells in zebrafish to obtain the first transcriptome of specific immune cell types in a non-mammalian species. Unsupervised clustering and single-cell TCR locus reconstruction identified three cell populations, T-cells, a novel type of NK-like cells and a smaller population of myeloid-like cells. Differential expression analysis uncovered new immune cell specific genes, including novel immunoglobulin-like receptors, and neofunctionalization of recently duplicated paralogs. Evolutionary analyses confirmed a higher gene turnover and lower conservation of trans-membrane proteins in NK cells compared to T cells in fish species, suggesting that this is a general property of immune cell types across all vertebrates.

Immunology