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Discover how PEPperPRINT Peptide Microarray products have been used in different fields of research.

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Integrated reiterative pipeline for rapid epitope-based pan-alphavirus vaccines

Versiani, Alice F.; McCaffrey, Peter; Ribeiro-Filho, Helder V.; Silva, Natalia I. O.; Lopes-de-Oliveira, Paulo S.; Carrera, Jean-Paul; Nogueira, Mauricio L.; Marques, Rafael E.; Rossi, Shannan L.; Vasilakis, Nikos
Sci Adv.
Mar 2026
10.1126/sciadv.aeb2066
The vast diversity of the virosphere underscores the need for rapid, adaptable vaccine development infrastructures. Arthropod-borne zoonotic alphaviruses, in particular, continue to pose substantial threats to human and animal health. We present a fast, multitarget vaccine design pipeline integrating machine learning-based epitope prediction, protein modeling, and docking to prioritize viral peptides by immunogenicity, allele coverage, solubility, and stability. T cell epitopes were validated using peptide microarrays and molecular dynamics simulations, confirming receptor binding accuracy. Flow cytometry of murine and human peripheral blood mononuclear cells demonstrated robust T cell activation and cytokine secretion (IFN-γ, TNF-α, or IL-2), dependent on species and HLA allele. Final candidates were selected by composite immunogenicity scores. While this study primarily validates the T cell-specific arm of our predictive pipeline, complementary B cell epitope analyses are ongoing. Our findings support the development of broadly protective pan-alphaviral vaccines and the establishment of efficient, tunable processes for global vaccine development.

Combinatorial Synthesis of Macromolecular Arrays by Microchannel Cantilever Spotting (µCS)

Atwater, Jordyn; Mattes, Daniela S.; Streit, Bettina; von Bojničić-Kninski, Clemens; Loeffler, Felix F.; Breitling, Frank; Fuchs, Harald; Hirtz, Michael
Adv. Mater..
Aug 2018
10.1002/adma.201801632
Surface-bound microarrays of multiple oligo- and macromolecules (e.g., peptides, DNA) offer versatile options in biomedical applications like drug screening, DNA analysis, or medical diagnostics. Combinatorial syntheses of these molecules in situ can save significant resources in regard to processing time and material use. Furthermore, high feature densities are needed to enable high-throughput and low sample volumes as generally regarded in combinatorial chemistry. Here, a scanning-probe-lithography-based approach for the combinatorial in situ synthesis of macromolecules is presented in microarray format. Feature sizes below 40 µm allow for the creation of high-density arrays with feature densities of 62 500 features per cm2. To demonstrate feasibility of this approach for biomedical applications, a multiplexed array of functional protein tags (HA- and FLAG-tag) is synthesized, and selective binding of respective epitope recognizing antibodies is shown. This approach uses only small amounts of base chemicals for synthesis and can be further parallelized, therefore, opening up a route to flexible, highly dense, and cost-effective microarrays.

Reductionist Approach in Peptide-Based Nanotechnology

Gazit, Ehud
Annu. Rev. Biochem..
Jun 2018
10.1146/annurev-biochem-062917-012541
The formation of ordered nanostructures by molecular self-assembly of proteins and peptides represents one of the principal directions in nanotechnology. Indeed, polyamides provide superior features as materials with diverse physical properties. A reductionist approach allowed the identification of extremely short peptide sequences, as short as dipeptides, which could form well-ordered amyloid-like β-sheet-rich assemblies comparable to supramolecular structures made of much larger proteins. Some of the peptide assemblies show remarkable mechanical, optical, and electrical characteristics. Another direction of reductionism utilized a natural noncoded amino acid, α-aminoisobutryic acid, to form short superhelical assemblies. The use of this exceptional helix inducer motif allowed the fabrication of single heptad repeats used in various biointerfaces, including their use as surfactants and DNA-binding agents. Two additional directions of the reductionist approach include the use of peptide nucleic acids (PNAs) and coassembly techniques. The diversified accomplishments of the reductionist approach, as well as the exciting future advances it bears, are discussed.

A Trifunctional Linker for Purified 3D Assembled Peptide Structure Arrays

Mattes, Daniela S.; Rentschler, Simone; Foertsch, Tobias C.; Münch, Stephan W.; Loeffler, Felix F.; Nesterov-Mueller, Alexander; Bräse, Stefan; Breitling, Frank
Small Methods.
Feb 2018
10.1002/smtd.201700205
Microarrays are an important tool in modern research that allow the rapid screening of many different interactions simultaneously. Peptide arrays, which bear different peptides arranged in separate spots, permit high-throughput screening to investigate linear and cyclic binding sites. To study conformational or discontinuous binding sites, protein arrays are the major choice. However, the tremendous costs for the generation of high-density protein arrays of high purity restrict progress in protein research. Therefore, peptide-based arrays, which can mimic assembled peptide structures, have an enormous potential. Here, a method is presented to create such structures in the array format as an alternative to protein arrays. A trifunctional linker is developed with an azide, a protected alkyne, and a carboxyl group, which can react with two or three different peptides. Due to the spatial proximity, the peptides interact and can form an assembled peptide structure. As a proof of concept, assembled peptide structures are demonstrated on beads and on a polymer surface and the approach can be validated via matrix-assisted laser desorption/ionization spectrometry. Furthermore, a multistep transfer of peptide arrays is shown, generating purified assembled peptide structure arrays in high density.

Bayesian Analysis of MicroScale Thermophoresis Data to Quantify Affinity of Protein:Protein Interactions with Human Survivin

Garcia-Bonete, Maria-Jose; Jensen, Maja; Recktenwald, Christian V.; Rocha, Sandra; Stadler, Volker; Bokarewa, Maria; Katona, Gergely
Sci Rep.
Dec 2017
10.1038/s41598-017-17071-0
A biomolecular ensemble exhibits different responses to a temperature gradient depending on its diffusion properties. MicroScale Thermophoresis technique exploits this effect and is becoming a popular technique for analyzing interactions of biomolecules in solution. When comparing affinities of related compounds, the reliability of the determined thermodynamic parameters often comes into question. The thermophoresis binding curves can be assessed by Bayesian inference, which provides a probability distribution for the dissociation constant of the interacting partners. By applying Bayesian machine learning principles, binding curves can be autonomously analyzed without manual intervention and without introducing subjective bias by outlier rejection. We demonstrate the Bayesian inference protocol on the known survivin:borealin interaction and on the putative protein-protein interactions between human survivin and two members of the human Shugoshin-like family (hSgol1 and hSgol2). These interactions were identified in a protein microarray binding assay against survivin and confirmed by MicroScale Thermophoresis.

Antibody fingerprints in lyme disease deciphered with high density peptide arrays

Weber, Laura K.; Isse, Awale; Rentschler, Simone; Kneusel, Richard E.; Palermo, Andrea; Hubbuch, Jürgen; Nesterov-Mueller, Alexander; Breitling, Frank; Loeffler, Felix F.
Eng. Life Sci..
Oct 2017
10.1002/elsc.201700062
Lyme disease is the most common tick-borne infectious disease in Europe and North America. Previous studies discovered the immunogenic role of a surface-exposed lipoprotein (VlsE) of Borreliella burgdorferi. We employed high density peptide arrays to investigate the antibody response to the VlsE protein in VlsE-positive patients by mapping the protein as overlapping peptides and subsequent in-depth epitope substitution analyses. These investigations led to the identification of antibody fingerprints represented by a number of key residues that are indispensable for the binding of the respective antibody. This approach allows us to compare the antibody specificities of different patients to the resolution of single amino acids. Our study revealed that the sera of VlsE-positive patients recognize different epitopes on the protein. Remarkably, in those cases where the same epitope is targeted, the antibody fingerprint is almost identical. Furthermore, we could correlate two fingerprints with human autoantigens and an Epstein-Barr virus epitope; yet, the link to autoimmune disorders seems unlikely and must be investigated in further studies. The other three fingerprints are much more specific for B. burgdorferi. Since antibody fingerprints of longer sequences have proven to be highly disease specific, our findings suggest that the fingerprints could function as diagnostic markers that can reduce false positive test results.

Peptide array functionalization via the Ugi four-component reaction

Ridder, B.; Mattes, D. S.; Nesterov-Mueller, A.; Breitling, F.; Meier, M. A. R.
Chem. Commun..
May 2017
10.1039/C7CC01945A
The Ugi four-component reaction was investigated as a tool for the functionalization of peptide arrays via post-synthetic side-chain modification, mimicking post-translational processes. Additionally, as a proof of concept for the synthesis of peptidomimetics on arrays, the integration of an Ugi unit into a growing peptide chain was demonstrated.

Autoantikehad täppismeditsiinis

Jaks, Viljar; Uibo, Raivo
Feb 2017
10.15157/EA.V0I0.13344
Immuuntolerantsi häirumine, mille üheks väljundiks on antikehade teke organismile omaste biomolekulide vastu, on oluline patogeneetiline mehhanism mitmete laialdaselt levinud haiguste puhul ja seetõttu on autoantikehade määramine kujunenud oluliseks diagnostiliseks vahendiks. Artiklis on käsitletud autoantikehade esinemise olulisust haiguste tekke ja kulu prognoosimisel. Kuigi sellekohane info on veel üsna napp, on selge, et organismi immuunstaatuse muutus eelneb aastaid haiguse ilmnemisele ning autoimmuunset komponenti sisaldava haiguse kulg ja prognoos on seotud patsiendil esinevate kindlate autoantikehadega. Sellest tulenevalt võime loota, et organismi immuunstaatuse uurimine, eriti aga autoantikehade spektri iseloomustamine, on tulevikus geneetilise info analüüsimise kõrval üks täppismeditsiini olulisemaid tööriistu.

Antibody repertoire profiling with mimotope arrays

Pashova, Shina; Schneider, Christoph; von Gunten, Stephan; Pashov, Anastas
Human Vaccines & Immunotherapeutics.
Jan 2017
10.1080/21645515.2017.1264786
Large-scale profiling and monitoring of antibody repertoires is possible through next generation sequencing (NGS), phage display libraries and microarrays. These methods can be combined in a pipeline, which ultimately maps the antibody reactivities onto defined arrays of structures – peptides or carbohydrates. The arrays can help analyze the individual specificities or can be used as complex patterns. In any case, the targets recognized should formally be considered mimotopes unless they are proven to be epitopes driving the antibody synthesis. Here, the advantages and disadvantages of the major profiling techniques as well as their current and future application in disease prediction and vaccination are discussed.

Single-Molecule Detection on a Protein-Array Assay Platform for the Exposure of a Tuberculosis Antigen

Schmidt, Ronny; Jacak, Jaroslaw; Schirwitz, Christopher; Stadler, Volker; Michel, Gerd; Marmé, Nicole; Schütz, Gerhard J.; Hoheisel, Jörg D.; Knemeyer, Jens-Peter
J. Proteome Res..
Jan 2011
10.1021/pr101070j

Combinatorial Peptide Synthesis on a Microchip

Schirwitz, Christopher; Block, Ines; König, Kai; Nesterov, Alexander; Fernandez, Simon; Felgenhauer, Thomas; Leibe, Klaus; Torralba, Gloria; Hausmann, Michael; Lindenstruth, Volker; Stadler, Volker; Breitling, Frank; Bischoff, F. Ralf
Current Protocols in Protein Science.
Aug 2009
10.1002/0471140864.ps1802s57
Microchips are used in the combinatorial synthesis of peptide arrays by means of amino acid microparticle deposition. The surface of custom-built microchips can be equipped with an amino-modified poly(ethylene glycol)methacrylate (PEGMA) graft polymer coating, which permits high loading of functional groups and resists nonspecific protein adsorption. Specific microparticles that are addressed to the polymer-coated microchip surface in a well defined pattern release preactivated amino acids upon melting, and thus allow combinatorial synthesis of high-complexity peptide arrays directly on the chip surface. Currently, arrays with densities of up to 40,000 peptide spots/cm2 can be generated in this way, with a minimum of coupling cycles required for full combinatorial synthesis. Without using any additional blocking agent, specific peptide recognition has been verified by background-free immunostaining on the chip-based array. This unit describes microchip surface modification, combinatorial peptide array synthesis on the chip, and a typical immunoassay employing the resulting high-density peptide arrays.

Particle-Based Synthesis of Peptide Arrays

Breitling, Frank; Felgenhauer, Thomas; Nesterov, Alexander; Lindenstruth, Volker; Stadler, Volker; Bischoff, F. Ralf
ChemBioChem.
Mar 2009
10.1002/cbic.200800735
Lithographic methods allow for the combinatorial synthesis of >50,000 oligonucleotides per cm(2), and this has revolutionized the field of genomics. High-density peptide arrays promise to advance the field of proteomics in a similar way, but currently lag behind. This is mainly due to the monomer-by-monomer repeated consecutive coupling of 20 different amino acids associated with lithography, which adds up to an excessive number of coupling cycles. Combinatorial synthesis based on electrically charged solid amino acid particles resolves this problem. A color laser printer or a chip addresses the different charged particles consecutively to a solid support, where, when completed, the whole layer of solid amino acid particles is melted at once. This frees hitherto immobilized amino acids to couple all 20 different amino acids to the support in one single coupling reaction. The method should allow for the translation of entire genomes into sets of overlapping peptides to be used in proteome research.

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