Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Leukocyte subset-specific type 1 interferon signatures in SLE and other immune-mediated diseases.

ABSTRACT: Objectives
Type 1 interferons (IFN-I) are implicated in the pathogenesis of systemic lupus erythematosus (SLE), but most studies have only reported the effect of IFN-I on mixed cell populations. We aimed to define modules of IFN-I associated genes in purified leukocyte populations and use these as a basis for a detailed comparative analysis.
Methods
CD4+ and CD8+ T-cells, monocytes and neutrophils were purified from patients with SLE, other immune-mediated diseases and healthy volunteers (HV)and gene expression determined by microarray. Modules of IFN-I associated genes were defined using weighted gene coexpression network analysis. The composition and expression of these modules was analysed.
Results
1,150 of 1,288 IFN-I associated genes were specific to myeloid subsets, compared with 11 genes unique to T-cells. IFN-I genes were more highly expressed in myeloid subsets compared to T-cells. A subset of neutrophil samples from HV and conditions not classically associated with IFN-I signatures displayed increased IFN-I gene expression, whereas upregulation of IFN-I associated genes in T-cells was restricted to SLE.
Conclusions
Given the broad upregulation of IFN-I genes in neutrophils including in some HV, investigators reporting IFN-I signatures on the basis of whole blood samples should be cautious about interpreting this as evidence of bona fide IFN-I mediated pathology. Instead, specific upregulation of IFN-I associated genes in T-cells may be a useful biomarker and a further mechanism by which elevated IFN-I contributes to autoimmunity in SLE.

ORGANISM(S): Homo sapiens

SUBMITTER: Richard Coulson

PROVIDER: E-MTAB-2713 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:This study demonstrates quantitative and qualitative differences between type I IFN signatures in autoimmunity and viral infection using purified CD4pos T cells and CD16pos- and CD16neg-monocyte subsets. We were able to discriminate between cell-specific viral response signatures and the pathogenically amplified IFN signatures observed in autoimmunity. The differences were of both a qualitative and quantitative nature, as the signatures in the patients with SLE were characterized by much more complexly compiled gene patterns with increased absolute gene expression levels. Collection of cells from Systemic Lupus Erythematosus (SLE) patients: For CD4pos T cells, six patients with SLE (average age: 29.0 +/- 7.6) and four normal healthy donors (ND; 24.8 +/- 0.5) were recruited. For CD16neg monocytes, four patients with SLE (26.5 +/- 1.7) and four NDs (24.8 +/- 0.5) were recruited. For CD16pos monocytes, four patients with SLE (26.5 +/- 1.7) and three NDs (24.7 +/- 0.6) were recruited. All patients and NDs were female. The same NDs were examined before and after immunisation with yellow fever vaccine (YFV). Collection of cells from yellow-fever vaccinated individuals: ND were immunised with a vaccine against the wild-type YF virus, which is a single-stranded RNA virus without adjuvants. This vaccine consists of a live but attenuated strain of the yellow fever virus (YFV-17D). Based on its vaccination-associated clinical and serological manifestations, this immunisation can be regarded as a real viral infection. A total of 50 ml peripheral blood was taken 7 days after immunisation, when sufficient numbers of CD19pos/CD27high plasmablasts were detected by flow cytometry. Cell sorting: A total of 50 ml peripheral blood was collected in Vacutainer heparin tubes and erythrocytes were lysed in EL buffer. Subsequently, granulocytes were depleted using CD15-conjugated microbeads (MACS). The CD15-depleted fraction was stained with a CD14-fluorescein isothiocyanate (FITC) antibody, a CD16-APC-Cy7 antibody, a CD3-Vioblue antibody and a CD4-FITC antibody. Using a FACSAria cell sorter, CD4pos T cells, CD16neg monocytes and CD16pos monocytes were isolated with purities and viabilities of >97%. After sorting, the cells were immediately lysed with RLT buffer and frozen at -70 M-BM-0C. Total RNA was isolated using an RNeasy mini kit, and quality control was ensured by Bioanalyser measurements.Total RNA was extracted using the RNeasy Mini kit. The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer and a NanoDrop ND-1000 spectrophotometer. Biotinylated complementary RNA (cRNA) was synthesized from 100 ng total RNA, using reagents as recommended in the technical manual from Affymetrix. Fifteen micrograms of fragmented cRNA of each sample were hybridized to HG-U133 plus 2.0 arrays. Hybridization was performed according to procedure 2 as described in the technical manual. Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.

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Leukocyte subset-specific type 1 interferon signatures in SLE and other immune-mediated diseases.

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