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Differential contributions of interferon classes to driving host inflammatory responses and restricting virus progeny production

ABSTRACT: The cornerstone of mammalian intrinsic and innate immune defense against pathogens is the production of interferons (IFN), cytokines that stimulate anti-pathogen signaling pathways through the simultaneous expression of hundreds of interferon-stimulated genes (ISG). We compared the effects of IFN classes on the cellular proteome and relative restriction of virus progeny production across multiple physiologically relevant cell types and viruses. We integrated global proteome analyses with targeted mass spectrometry (MS), thermal proximity coaggregation-MS (TPCA-MS), and molecular virology assays to determine how ISGs differentially contribute to host antiviral capacities between immune-modulatory cell types. In differentiated macrophage-like monocytic cells, we classified sets of both shared and distinct ISG proteins responsive to each IFN class. We orthogonally confirmed the relative protein alterations using parallel reaction monitoring (PRM) by developing a proteotypic peptide library for ISG markers induced by each IFN class. Additional comparison to stimulation with pro-inflammatory LPS helped to contextualize the observed IFN signatures. We further assessed ISG protein interactions upon IFN types I and II stimulation, observing maintenance of key ISG protein complexes across treatments. Subsequent comparison of macrophage-like monocytic cells to primary keratinocytes enabled us to identify relative ISG abundances, cytokine induction, and antiviral capacities of both cell types across infections with several ubiquitous human viruses. Infections with herpes simplex virus-1 (HSV-1), adenovirus (AdV), and human cytomegalovirus (HCMV) revealed cell type-dependent differences in virus progeny production.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Monocyte, Macrophage

SUBMITTER: Krystal Lum

LAB HEAD: Ileana Cristea

PROVIDER: PXD046976 | Pride | 2024-02-28

REPOSITORIES: Pride

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			Action	DRS
	20230801_THP1_pGK_IFNbeta_IFNgamma_LPS.msf	Msf
	20230801_THP1_pGK_IFNbeta_IFNgamma_LPS.msfView	Msf
	20230801_THP1_pGK_IFNbeta_IFNgamma_LPS.pdResult	Other
	20230801_THP1_pGK_IFNbeta_IFNgamma_LPS.pdResultView	Other
	20230801_THP1_pGK_IFNbeta_IFNgamma_LPS.pdStudy	Other

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Project description:Background/Purpose: Systemic lupus erythematosus (SLE) is a complex multi-system autoimmune disease of uncertain etiology. Patients from different ancestral backgrounds demonstrate differences in clinical manifestations and autoantibody profiles. In this study we examined genome-wide transcriptional patterns in major immune cell subsets across different ancestral backgrounds. Methods: Peripheral blood was collected from 21 African-American (AA) and 21 European-American (EA) SLE patients, 5 AA controls, and 5 EA controls. CD4+ T-cells, CD8+ T-cells, monocytes and B cells were purified by flow sorting. Each cell subset from each subject was run on an Illumina HumanHT-12 V4 expression BeadChip array (n=208 arrays). Differentially expressed genes (DEGs) were determined by comparing cases and controls of the same ancestral background. Results: The overlap in DEG lists between different cell types from the same ancestral background was very modest (<1%). Typically between 5-10% of DEGs were shared when comparing the same cell type between different ancestral backgrounds (for ex. CD20 AA vs. CD20 EA). Quantitative measurement of global IFN-stimulated gene (ISG) expression revealed that AA subjects demonstrated more concordance across all studied cell types. Two subgroups of patients were identified based on the ISG expression profiles. One subgroup showed higher ISGs expression in all cell types, and the other subgroup had higherISG expression only in T and B lymphocytes but not in monocytes. The correlation of ISG expression with medication data revealed that only the B cells had lower ISG expression in patients taking immunosuppressants, while ISG expression in the other cell types did not differ based upon medication use. Conclusion: We find striking differences in gene expression between different immune cell subsets and between ancestral backgrounds in SLE patients. The IFN signature is diverse, with different transcripts represented in different cell populations, and signature-positive cell subsets differed in EA vs. AA patients. We also find that treatment with the immunosuppressive agents correlates with the down-regulation of B cell ISG expression, and this was not observed in other cell types. Peripheral blood was collected from 21 African-American (AA) and 21 European-American (EA) SLE patients, 5 AA controls, and 5 EA controls. CD4+ T-cells, CD8+ T-cells, monocytes and B cells were purified by flow sorting. Each cell subset from each subject was run on an Illumina HumanHT-12 V4 expression BeadChip array (n=208 arrays).

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Differential contributions of interferon classes to driving host inflammatory responses and restricting virus progeny production

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