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. 2023 Dec 8;8(23):e174976.
doi: 10.1172/jci.insight.174976.

Validation of a murine proteome-wide phage display library for identification of autoantibody specificities

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Validation of a murine proteome-wide phage display library for identification of autoantibody specificities

Elze Rackaityte et al. JCI Insight. .

Abstract

Autoimmunity is characterized by loss of tolerance to tissue-specific as well as systemic antigens, resulting in complex autoantibody landscapes. Here, we introduce and extensively validate the performance characteristics of a murine proteome-wide library for phage display immunoprecipitation and sequencing (PhIP-seq) in profiling mouse autoantibodies. This library was validated using 7 genetically distinct mouse lines across a spectrum of autoreactivity. Mice deficient in antibody production (Rag2-/- and μMT) were used to model nonspecific peptide enrichments, while cross-reactivity was evaluated using anti-ovalbumin B cell receptor-restricted OB1 mice as a proof of principle. The PhIP-seq approach was then utilized to interrogate 3 distinct autoimmune disease models. First, serum from Lyn-/- IgD+/- mice with lupus-like disease was used to identify nuclear and apoptotic bleb reactivities. Second, serum from nonobese diabetic (NOD) mice, a polygenic model of pancreas-specific autoimmunity, was enriched in peptides derived from both insulin and predicted pancreatic proteins. Lastly, Aire-/- mouse sera were used to identify numerous autoantigens, many of which were also observed in previous studies of humans with autoimmune polyendocrinopathy syndrome type 1 carrying recessive mutations in AIRE. These experiments support the use of murine proteome-wide PhIP-seq for antigenic profiling and autoantibody discovery, which may be employed to study a range of immune perturbations in mouse models of autoimmunity profiling.

Keywords: Adaptive immunity; Antigen; Autoimmune diseases; Autoimmunity; Immunology.

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Conflict of interest statement

Conflict of interest: The authors have declared that no conflict of interest exists.

Figures

Figure 1
Figure 1. Design and validation of murine PhIP-seq library.
(A) GRCm38.p5 annotated proteins were downloaded from Refseq and 62–amino acid (62-aa) tiles were chosen to cover the 76,217 proteins with 482,672 peptides with a 19-aa overlap. The tiles contained necessary cloning sites for expression in a T7 phage display system. (B) Representation of designed oligonucleotides after oligonucleotide synthesis and cloning. (C) Sum of all fold changes (FCs) above the mean read counts in mock IP in each experimental sample (mock IP) or mouse strain (Rag2–/–, μMT, OB1, B6, and Lyn–/– IgD+/–) by PhIP-seq. Exact P value is reported, and each dot corresponds to a mouse or mock-IP replicate. Kruskal-Wallis test with Tukey’s HSD post hoc test.
Figure 2
Figure 2. Identification of autoreactive epitopes recognized by ovalbumin-specific BCR-transgenic (OB1) mice.
(A) Log10(fold change) and z score over murine background model (mean of Rag2–/–, μMT, and mock IP) of peptides enriched by PhIP-seq in OB1 mice colored by alignment score to known epitope and essential FGD motif. (B) Multiple sequence alignment of top OB1-enriched peptides. (C) Logo plot of multiple sequence alignment of 193 peptides enriched by OB1 sera. (D) Sum log10(fold change) over MBM of OB1 peptides enriched by sera from Rag2–/–, μMT, OB1, B6, or Lyn–/– IgD+/– mice. Exact adjusted P value is reported, and each dot corresponds to 1 mouse. Kruskal-Wallis test with Tukey’s HSD post hoc test.
Figure 3
Figure 3. Autoreactivity to nuclear and apoptotic antigens in Lyn–/– IgD+/– mice.
(A) Heatmap of nuclear proteins enriched in Lyn–/– IgD+/– versus wild-type B6 mice. (B) Sum log10(fold change) over mean background (left) and heatmap of log10(fold change) (right) of small ribonucleoproteins in B6 or Lyn–/– IgD+/– mice. (C) Sum log10(fold change) over mean background (left) and heatmap of log10(fold change) (right) of E3 ubiquitin ligases in B6 or Lyn–/– IgD+/– mice. Peptide enrichments were identified by PhIP-seq in AC. Exact adjusted P value is reported, and each dot corresponds to 1 mouse. Kruskal-Wallis test with Dunn’s post hoc test.
Figure 4
Figure 4. Autoreactivity in Aire–/– mice.
(A) Percentage of peptides enriched in NOD.Aire–/– mice by PhIP-seq compared to orthologs of previously reported APS1 reactivities in humans (11) and genes under the control of Aire in mTEC (40). Sum log10(fold change) over murine background model of B. (C) Muc5b in Aire–/– versus control mice. (D) Logistical regression coefficients of top 10 proteins for classifying Aire–/– versus control mice colored by orthologous APS1 reactivity and/or Aire-dependent mTEC expression. (E) Heatmap of Plin1 positional sum log10(fold change) over background in Aire–/– or wild-type mice by PhIP-seq annotated with domain positions (top). Fold change of antibody index in Aire–/– over wild-type mice by SLBA (bottom). (F) Inguinal fat pads stained with H&E. Higher magnification is shown below. Scale bars: 200 μm (top) and 50 μm (bottom) (G) Immunohistochemistry of F4/80 (top) or CD4 (bottom) in inguinal fat pads in Aire–/– versus NOD mice. Arrowhead indicates positive cells. Scale bars: 50 μm. Peptide enrichments were identified by PhIP-seq in AE and SLBA in E (bottom). Exact adjusted P value is reported, and each dot corresponds to 1 mouse. Kruskal-Wallis test with Dunn’s post hoc test.

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