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Dive into the research topics where Felix F. Loeffler is active.

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Featured researches published by Felix F. Loeffler.


Nature Communications | 2016

High-flexibility combinatorial peptide synthesis with laser-based transfer of monomers in solid matrix material

Felix F. Loeffler; Tobias C. Foertsch; Roman Popov; Daniela S. Mattes; Martin Schlageter; Martyna Sedlmayr; Barbara Ridder; Florian-Xuan Dang; Clemens von Bojničić-Kninski; Laura K. Weber; Andrea Fischer; Juliane Greifenstein; Valentina Bykovskaya; Ivan Buliev; F. Ralf Bischoff; Lothar Hahn; Michael A. R. Meier; Stefan Bräse; Annie K. Powell; Teodor Silviu Balaban; Frank Breitling; Alexander Nesterov-Mueller

Laser writing is used to structure surfaces in many different ways in materials and life sciences. However, combinatorial patterning applications are still limited. Here we present a method for cost-efficient combinatorial synthesis of very-high-density peptide arrays with natural and synthetic monomers. A laser automatically transfers nanometre-thin solid material spots from different donor slides to an acceptor. Each donor bears a thin polymer film, embedding one type of monomer. Coupling occurs in a separate heating step, where the matrix becomes viscous and building blocks diffuse and couple to the acceptor surface. Furthermore, we can consecutively deposit two material layers of activation reagents and amino acids. Subsequent heat-induced mixing facilitates an in situ activation and coupling of the monomers. This allows us to incorporate building blocks with click chemistry compatibility or a large variety of commercially available non-activated, for example, posttranslationally modified building blocks into the arrays peptides with >17,000 spots per cm2.


Biointerphases | 2012

Sensing Immune Responses with Customized Peptide Microarrays

Christopher Schirwitz; Felix F. Loeffler; Thomas Felgenhauer; Volker Stadler; Frank Breitling; F. Ralf Bischoff

The intent to solve biological and biomedical questions in high-throughput led to an immense interest in microarray technologies. Nowadays, DNA microarrays are routinely used to screen for oligonucleotide interactions within a large variety of potential interaction partners. To study interactions on the protein level with the same efficiency, protein and peptide microarrays offer similar advantages, but their production is more demanding. A new technology to produce peptide microarrays with a laser printer provides access to affordable and highly complex peptide microarrays. Such a peptide microarray can contain up to 775 peptide spots per cm², whereby the position of each peptide spot and, thus, the amino acid sequence of the corresponding peptide, is exactly known. Compared to other techniques, such as the SPOT synthesis, more features per cm² at lower costs can be synthesized which paves the way for laser printed peptide microarrays to take on roles as efficient and affordable biomedical sensors. Here, we describe the laser printer-based synthesis of peptide microarrays and focus on an application involving the blood sera of tetanus immunized individuals, indicating the potential of peptide arrays to sense immune responses.


Advanced Materials | 2013

Purification of High‐Complexity Peptide Microarrays by Spatially Resolved Array Transfer to Gold‐Coated Membranes

Christopher Schirwitz; Felix F. Loeffler; Thomas Felgenhauer; Volker Stadler; Alexander Nesterov-Mueller; Reiner Dahint; Frank Breitling; F. Ralf Bischoff

A method for the one-step purification of high-complexity peptide microarrays is presented. The entire peptide library is transferred from the synthesis support to a gold coated polyvinylidenfluoride (PVDF) membrane, whereby only full-length peptides covalently couple to the receptor membrane via an N-terminally added cysteine. Highly resolved peptide transfer and purification of up to 10 000 features per cm(2) is demonstrated.


Microarrays | 2014

Particle-Based Microarrays of Oligonucleotides and Oligopeptides

Alexander Nesterov-Mueller; Frieder Maerkle; Lothar Hahn; Tobias C. Foertsch; Sebastian Schillo; Valentina Bykovskaya; Martyna Sedlmayr; Laura K. Weber; Barbara Ridder; Miriam Soehindrijo; Bastian Muenster; Jakob Striffler; F. Ralf Bischoff; Frank Breitling; Felix F. Loeffler

In this review, we describe different methods of microarray fabrication based on the use of micro-particles/-beads and point out future tendencies in the development of particle-based arrays. First, we consider oligonucleotide bead arrays, where each bead is a carrier of one specific sequence of oligonucleotides. This bead-based array approach, appearing in the late 1990s, enabled high-throughput oligonucleotide analysis and had a large impact on genome research. Furthermore, we consider particle-based peptide array fabrication using combinatorial chemistry. In this approach, particles can directly participate in both the synthesis and the transfer of synthesized combinatorial molecules to a substrate. Subsequently, we describe in more detail the synthesis of peptide arrays with amino acid polymer particles, which imbed the amino acids inside their polymer matrix. By heating these particles, the polymer matrix is transformed into a highly viscous gel, and thereby, imbedded monomers are allowed to participate in the coupling reaction. Finally, we focus on combinatorial laser fusing of particles for the synthesis of high-density peptide arrays. This method combines the advantages of particles and combinatorial lithographic approaches.


Methods of Molecular Biology | 2016

High-Density Peptide Arrays for Malaria Vaccine Development

Felix F. Loeffler; Johannes Pfeil; Kirsten Heiss

The development of an efficacious and practicable vaccine conferring sterile immunity towards a Plasmodium infection represents a not yet achieved goal. A crucial factor for the impact of a given anti-plasmodial subunit vaccine is the identification of the most potent parasitic components required to induce protection from both infection and disease. Here, we present a method based on a novel high-density peptide array technology that allows for a flexible readout of malaria antibodies. Peptide arrays applied as a screening method can be used to identify novel immunogenic antibody epitopes under a large number of potential antigens/peptides. Ultimately, discovered antigen candidates and/or epitope sequences can be translated into vaccine prototype design. The technology can be further utilized to unravel antibody-mediated immune responses (e.g., involved in the establishment of semi-immunity) and moreover to confirm vaccine potency during the process of clinical development by verifying the induced antibody responses following vaccination.


Advanced Materials | 2018

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

Jordyn Atwater; Daniela S. Mattes; Bettina Streit; Clemens von Bojničić-Kninski; Felix F. Loeffler; Frank Breitling; Harald Fuchs; Michael Hirtz

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.


Engineering in Life Sciences | 2017

Antibody Fingerprints in Lyme Disease Deciphered with High Density Peptide Arrays

Laura K. Weber; Awale Isse; Simone Rentschler; Richard Kneusel; Andrea Palermo; Jürgen Hubbuch; Alexander Nesterov-Mueller; Frank Breitling; Felix F. Loeffler

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.


ACS Omega | 2017

Mapping Putative B-Cell Zika Virus NS1 Epitopes Provides Molecular Basis for Anti-NS1 Antibody Discrimination between Zika and Dengue Viruses

Marjorie C. L. C. Freire; Laercio Pol-Fachin; Danilo F. Coêlho; Isabelle F. T. Viana; Tereza Magalhães; Marli Tenório Cordeiro; Nico Fischer; Felix F. Loeffler; Thomas Jaenisch; Rafael F. O. Franca; Ernesto T. A. Marques; Roberto D. Lins

B-cell epitope sequences from Zika virus (ZIKV) NS1 protein have been identified using epitope prediction tools. Mapping these sequences onto the NS1 surface reveals two major conformational epitopes and a single linear one. Despite an overall average sequence identity of ca. 55% between the NS1 from ZIKV and the four dengue virus (DENV) serotypes, epitope sequences were found to be highly conserved. Nevertheless, nonconserved epitope-flanking residues are responsible for a dramatically divergent electrostatic surface potential on the epitope regions of ZIKV and DENV2 serotypes. These findings suggest that strategies for differential diagnostics on the basis of short linear NS1 sequences are likely to fail due to immunological cross-reactions. Overall, results provide the molecular basis of differential discrimination between Zika and DENVs by NS1 monoclonal antibodies.


Advanced Materials | 2014

High‐Density Peptide Arrays with Combinatorial Laser Fusing

Frieder Maerkle; Felix F. Loeffler; Sebastian Schillo; Tobias C. Foertsch; Bastian Muenster; Jakob Striffler; Christopher Schirwitz; F. Ralf Bischoff; Frank Breitling; Alexander Nesterov-Mueller


Advanced Functional Materials | 2012

Biomolecule Arrays Using Functional Combinatorial Particle Patterning on Microchips

Felix F. Loeffler; Christopher Schirwitz; Jenny Wagner; Kai Koenig; Frieder Maerkle; Gloria Torralba; Michael Hausmann; F. Ralf Bischoff; Alexander Nesterov-Mueller; Frank Breitling

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Frank Breitling

Karlsruhe Institute of Technology

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Alexander Nesterov-Mueller

Karlsruhe Institute of Technology

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Tobias C. Foertsch

Karlsruhe Institute of Technology

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F. Ralf Bischoff

German Cancer Research Center

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Barbara Ridder

Karlsruhe Institute of Technology

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Frieder Maerkle

Karlsruhe Institute of Technology

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Christopher Schirwitz

German Cancer Research Center

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Daniela S. Mattes

Karlsruhe Institute of Technology

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Jakob Striffler

Karlsruhe Institute of Technology

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Bastian Muenster

Karlsruhe Institute of Technology

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