Dataset Information

Assessing a computational pipeline to identify binding motifs to the α2β1 integrin.

ABSTRACT: Integrins in the cell surface interact with functional motifs found in the extracellular matrix (ECM) that queue the cell for biological actions such as migration, adhesion, or growth. Multiple fibrous proteins such as collagen or fibronectin compose the ECM. The field of biomechanical engineering often deals with the design of biomaterials compatible with the ECM that will trigger cellular response (e.g., in tissue regeneration). However, there are a relative few number of known integrin binding motifs compared to all the possible peptide epitope sequences available. Computational tools could help identify novel motifs, but have been limited by the challenges in modeling the binding to integrin domains. We revisit a series of traditional and novel computational tools to assess their performance in identifying novel binding motifs for the I-domain of the α2β1 integrin.

SUBMITTER: Liu Q

PROVIDER: S-EPMC9968975 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Assessing a computational pipeline to identify binding motifs to the <i>α</i>2<i>β</i>1 integrin.

Liu Qianchen Q Perez Alberto A

Frontiers in chemistry 20230213

Integrins in the cell surface interact with functional motifs found in the extracellular matrix (ECM) that queue the cell for biological actions such as migration, adhesion, or growth. Multiple fibrous proteins such as collagen or fibronectin compose the ECM. The field of biomechanical engineering often deals with the design of biomaterials compatible with the ECM that will trigger cellular response (e.g., in tissue regeneration). However, there are a relative few number of known integrin bindin ...[more]

PMID: 36860646

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Project description:Therapeutic modulation of protein interactions is challenging, but short linear motifs (SLiMs) represent potential targets. Focal adhesions play a central role in adhesion by linking cells to the extracellular matrix. Integrins are central to this process, and many other intracellular proteins are components of the integrin adhesome. We applied a peptide network targeting approach to explore the intracellular modulation of integrin function in platelets. Firstly, we computed a platelet-relevant integrin adhesome, inferred via homology of known platelet proteins to adhesome components. We then computationally selected peptides from the set of platelet integrin adhesome cytoplasmic and membrane adjacent protein-protein interfaces. Motifs of interest in the intracellular component of the platelet integrin adhesome were identified using a predictor of SLiMs based on analysis of protein primary amino acid sequences (SLiMPred), a predictor of strongly conserved motifs within disordered protein regions (SLiMPrints), and information from the literature regarding protein interactions in the complex. We then synthesized peptides incorporating these motifs combined with cell penetrating factors (tat peptide and palmitylation for cytoplasmic and membrane proteins respectively). We tested for the platelet activating effects of the peptides, as well as their abilities to inhibit activation. Bioactivity testing revealed a number of peptides that modulated platelet function, including those derived from α-actinin (ACTN1) and syndecan (SDC4), binding to vinculin and syntenin respectively. Both chimeric peptide experiments and peptide combination experiments failed to identify strong effects, perhaps characterizing the adhesome as relatively robust against within-adhesome synergistic perturbation. We investigated in more detail peptides targeting vinculin. Combined experimental and computational evidence suggested a model in which the positively charged tat-derived cell penetrating part of the peptide contributes to bioactivity via stabilizing charge interactions with a region of the ACTN1 negatively charged surface. We conclude that some interactions in the integrin adhesome appear to be capable of modulation by short peptides, and may aid in the identification and characterization of target sites within the complex that may be useful for therapeutic modulation.

Project description:Integrin alpha(v)beta(3) plays a significant role in tumor angiogenesis and is a receptor for the extracellular matrix proteins with the exposed arginine-glycine-aspartic (RGD) tripeptide sequence. These include vitronectin, fibronectin, fibrinogen, lamin, collagen, Von Willibrand's factor, osteoponin, and adenovirus particles. Integrin alpha(v)beta(3) is expressed at low levels on epithelial cells and mature endothelial cells, but it is overexpressed on the activated endothelial cells of tumor neovasculature and some tumor cells. The restricted expression of integrin alpha(v)beta(3) during tumor growth, invasion, and metastasis presents an interesting molecular target for both early detection and treatment of rapidly growing solid tumors. Over the past decade, many radiolabeled linear and cyclic RGD peptide antagonists have been evaluated as integrin alpha(v)beta(3)-targeted radiotracers. Significant progress has been made on their use for imaging integrin alpha(v)beta(3)-positive tumors by SPECT or PET. Among the radiotracers evaluated in preclinical tumor-bearing models, [18F]Galacto-RGD (2-[18F]fluoropropanamide c(RGDfK(SAA); SAA = 7-amino-L-glyero-L-galacto-2,6-anhydro-7-deoxyheptanamide) and [18F]-AH111585 are currently under clinical investigation for visualization of integrin alpha(v)beta(3) expression in cancer patients. However, their low tumor uptake, high cost, and lack of preparative modules for routine radiosynthesis will limit their continued clinical application. Thus, there is a continuing need for more efficient integrin alpha(v)beta(3)-targeted radiotracers that are readily prepared from a kit formulation without further postlabeling purification. This article will focus on different approaches to maximize the targeting capability of cyclic RGD peptides and to improve the radiotracer excretion kinetics from noncancerous organs. Improvement of tumor uptake and tumor-to-background ratios is important for early detection of integrin alpha(v)beta(3)-positive tumors and/or noninvasive monitoring of therapeutic efficacy of antiangiogenic therapy.

Dataset Information

Assessing a computational pipeline to identify binding motifs to the α2β1 integrin.

Publications

Assessing a computational pipeline to identify binding motifs to the <i>α</i>2<i>β</i>1 integrin.

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