The human proteome contains a plethora of short linear motifs (SLiMs) that serve as binding interfaces for modular protein domains. Such interactions are crucial for signaling and other cellular processes, but are difficult to detect because of their low to moderate affinities. Here we developed a dedicated approach, proteomic peptide-phage display (ProP-PD), to identify domain–SLiM interactions. Specifically, we generated phage libraries containing all human and viral C-terminal peptides using custom oligonucleotide microarrays. With these libraries we screened the nine PSD-95/Dlg/ZO-1 (PDZ) domains of human Densin-180, Erbin, Scribble, and Disks large homolog 1 for peptide ligands. We identified several known and putative interactions potentially relevant to cellular signaling pathways and confirmed interactions between full-length Scribble and the target proteins β-PIX, plakophilin-4, and guanylate cyclase soluble subunit α-2 using colocalization and coimmunoprecipitation experiments. The affinities of recombinant Scribble PDZ domains and the synthetic peptides representing the C termini of these proteins were in the 1- to 40-μM range. Furthermore, we identified several well-established host–virus protein–protein interactions, and confirmed that PDZ domains of Scribble interact with the C terminus of Tax-1 of human T-cell leukemia virus with micromolar affinity. Previously unknown putative viral protein ligands for the PDZ domains of Scribble and Erbin were also identified. Thus, we demonstrate that our ProP-PD libraries are useful tools for probing PDZ domain interactions. The method can be extended to interrogate all potential eukaryotic, bacterial, and viral SLiMs and we suggest it will be a highly valuable approach for studying cellular and pathogen–host protein–protein interactions.There are an estimated 650,000 protein–protein interactions in a human cell (
1). These interactions are integral to cellular function and mediate signaling pathways that are often misregulated in cancer (
2) and may be hijacked by viral proteins (
3). Commonly, signaling pathways involve moderate affinity interactions between modular domains and short linear motifs (SLiMs; conserved 2- to 10-aa stretches in disordered regions) (
4) that are difficult to capture using high-throughput methods, such as yeast two-hybrid (Y2H) or affinity-purification mass spectrometry (AP/MS) but can be identified using peptide arrays, split-protein systems (
5,
6), or peptide-phage display (
7–
10). A major limitation of peptide arrays is coverage, because the number of potential binding peptides in the proteome is orders of magnitude larger than what can be printed on an array. Conventional phage libraries display combinatorially generated peptide sequences that can identify biophysically optimal ligands of modular domains but this approach can exhibit a hydrophobic bias and may not be ideal for detecting natural binders (
11). Thus, there is a need for alternative approaches for identification of relevant domain–SLiMs interactions.Here, we report an approach that solves both the problem of coverage and the problem of artificial binders. We take advantage of microarray-based oligonucleotide synthesis to construct custom-made peptide-phage libraries for screening peptide–protein interactions, an approach we call proteomic peptide-phage display (ProP-PD) (). This process is similar in concept to the method for autoantigen discovery recently proposed by Larman et al. (
12). In this earlier work, a T7 phage display library comprising 36-residue overlapping peptides covering all ORFs in the human genome was used to develop a phage immunoprecipitation sequencing methodology for the identification of autoantigens. A more general application of the library for the identification of protein–peptide interactions was introduced, but not explored in depth. We here establish that ProP-PD is a straightforward method for the identification of potentially relevant ligands of peptide binding domains. Our approach is based on the filamentous M13 phage, which is highly suited for efficient screening of peptide binding domains (
13). The main advantage of our display system is that it is nonlytic and highly validated; random M13 phage-displayed peptide libraries have been used to map binding specificities of hundreds of diverse modular domains (
7,
8,
14–
16). We showcase our approach by identifying interactions of PSD-95/Dlg/ZO-1 (PDZ) domains.
Open in a separate windowOverview of the ProP-PD. The human and viral ProP-PD libraries were designed to contain over 50,000 or 10,000 C-terminal heptapeptides, respectively. Oligonucleotides encoding the sequences were printed on microarray slides, PCR-amplified, and cloned into a phagemid designed for the display of peptides fused to the C terminus of the M13 major coat protein P8. The libraries were used in binding selections with PDZ domains and the selected pools were analyzed by next-generation sequencing on the Illumina platform.The PDZ family is one of the largest domain families in the human proteome, with about 270 members that typically interact with C-terminal peptides (class I binding motif: x-S/T-x-Φ-COO-, class II: x-Φ-x-Φ-COO-) (
17) but also with internal peptide stretches and phosphoinositides (
18,
19). PDZ–peptide interactions have been extensively analyzed by distinct experimental efforts, such as peptide-phage display (
7,
20), peptide arrays (
9,
21,
22), and split-ubiquitin membrane Y2H (
23), as well as by computational approaches (
24–
28). Furthermore, the PDZ family has been shown to be the target of viral hijacking, whereby virus proteins mimic the C termini of human proteins to exploit these interactions (
29). Thus, the PDZ family offers an excellent model system for validation of the ProP-PD approach.We created ProP-PD libraries displaying all known human and viral C-terminal peptide sequences and used these to identify binding partners for the nine PDZ domains of Densin-180, Erbin, Scribble, and disk large homolog 1 (DLG1) (). These proteins have crucial roles in the postsynaptic density of excitatory neuronal synapses, in the establishment of adherens and tight junctions in epithelial cells, and in the regulation of cell polarity and migration (
30–
32). Additionally, both Scribble and DLG1 are known targets of viral proteins (
33,
34). Using the ProP-PD libraries we identified known and novel human and viral ligands and validated candidates in vivo and in vitro. Our results demonstrate that ProP-PD is a powerful approach for the proteomic screening of human and viral targets. Future studies with larger libraries tiling the complete disordered regions of any proteome can be envisioned, as the technology is highly scalable.
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