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Biology subjects

Herbst, K.

Publications and source records attributed to Herbst, K..

8 recordsLinked to original sources

A Modular Chromosomally Integrated Yeast Surface Display Platform for Quantitative Serology and Immune Profiling

Precise quantification of antigen-specific antibodies is essential for assessing immune status and fundamental to both clinical and research settings. However, current serological platforms remain limited in their ability to combine quantitative performance, flexibility, and scalability. Here, we present a chromosomally integrated yeast surface display (YSD) system engineered for stable, quantitative, and scalable antibody profiling. Genomic integration of the YSD cassette supports uniform antigen presentation without continuous selective pressure, reducing variability associated with plasmid-based systems. Two distinct cell-wall anchoring strategies are implemented within a modular synthetic framework that enables rapid, cloning-free strain construction. Coupled with flow-cytometric readout, the system provides sensitive detection of antigen-specific antibodies with single-cell normalization for antigen expression. In addition, the combination of barcoded YSD strain libraries with fluorescence-activated cell sorting and next-generation sequencing enables multiplexed serological profiling across multiple samples and antigens. As a proof of concept, we demonstrate quantitative antibody detection against SARS-CoV-2 and extend the approach to hepatitis virus antigens, highlighting the utility of this platform as a flexible framework for serological assay development and immune profiling.

bioengineering↗

The Synthetic Epitope Atlas: High-Throughput Design and Validation of De Novo Antibody-Antigen Complexes

AO_SCPLOWBSTRACTC_SCPLOWDe novo antibody design models lack sufficient training data to reliably generalize. We demonstrate scalable generation of structural training data for machine learning-driven antibody design by linking in silico designs of antibody-antigen complexes to high-throughput experimental binding validation. Using AlphaSeq, a yeast-based platform for measuring protein binding affinities, we measure the affinity and specificity of thousands of de novo "synthetic epitope proteins" (SEPs) designed to bind to VHHs. The resulting Synthetic Epitope Atlas (SEPIA) pairs over 26 million on- and off-target affinity measurements with computationally designed VHH-SEP "pseudo-structures." We validate strong, specific binding for 1,161 pseudo-structures and >75,000 VHH and SEP mutational variants. We show that these pseudo-structures complement existing structural databases and enable ML models to outperform confidence metrics commonly used to rank de novo antibody designs. Taken together, SEPIA establishes a scalable framework for improving de novo antibody design by augmenting sparse structural data with large-scale experimental binding data.

synthetic biology↗

Improved cloning-free one-step CRISPR-Cas12a-assisted tagging of mammalian genes using PCR generated reagents (PCR tagging)

Precise DNA integration in mammalian genomes using CRISPR/Cas based strategies remains challenging due to competing DNA repair pathways. We present an update for our CRISPR/Cas12a-assisted PCR-tagging method using linear donor cassettes and self-targeting gRNAs for gene tagging. By incorporating 2A-linked selection markers and chemically modifying PCR cassettes with phosphorothioate and biotin, along with the inhibition of NHEJ, we improve precise insertions while reducing unwanted integration products and we devise a variant of the method for seamless gene tagging. To profile integration outcomes, we further developed our integration site sequencing protocol (Tn5-Anchor-Seq, Meurer et al., 2018) to obtain a protocol using long-read (ONT) sequencing coupled with a custom computational pipeline. This enables high-resolution quantification of all integration events with respect to integration by HDR or NHEJ, as well as the presence of concatemers and off-target integrations. Our data reveal gene-specific editing profiles and demonstrate that combining cassette design with DNA repair modulation yields up to 5-fold increases in HDR and suppression of concatemers and indels. Together, our improvements outline an robust strategy for efficient and high-fidelity gene tagging in mammalian cells, facilitating functional genomics and cell engineering applications.

molecular biology↗

Biological insights and methodological challenges learned from working with a diverse heterotrophic marine bacterial library

BackgroundOrganized collections of bacterial strains can help bridge the gap between studying model organisms and communities, through comparative experiments between genetically and phenotypically diverse strains. We describe the establishment and initial characterization of a library of 62 marine heterotrophic bacteria, selected to represent a significant fraction of the genome-encoded functional diversity and a wide range of known phytoplankton-bacteria interactions. We focus on important but often undiscussed aspects of collecting and maintaining such a library, verifying strain identity, and applying classical microbiological methods across diverse strains. ResultsCultured strains contain up to hundreds of mutations compared with the reference genomes, with non-synonymous mutations in rpoB and/or rpoC genes observed in [~]15% of the cultures. Most strains grow well at 25{degrees}C, but the dependence of growth rate on temperature and the width of the temperature niche vary between strains in a systematic manner. We describe steps towards designing a universal, defined, minimal media for marine bacteria, revealing that growth inhibition on amino acids and peptides by carbohydrates is widespread. Cell counts obtained from flow cytometry and colony plating differ systematically, as do different methods to assess motility. Finally, we discuss traits potentially related to microbial interactions such as hemolysis, biofilm formation, and antibiotic resistance. Gammaproteobacteria such as Alteromonas, Pseudoalteromonas, and Vibrio reveal consistently robust growth, and activity, perhaps explaining why these clades are well-explored. ConclusionExplicitly discussing the insights and challenges of working with strain libraries will pave the way to robust, reproducible, and generalizable mapping of bacterial traits across diversity.

microbiology↗

Single-color Fluorescence Lifetime Cross-Correlation Spectroscopy in vivo

The ability to quantify protein concentrations and to measure protein interactions in vivo is key information needed for the understanding of complex processes inside cells, but the acquisition of such information from living cells is still demanding. Fluorescence based methods like two-color fluorescence cross-correlation spectroscopy can provide this information but measurement precision is hampered by various sources of errors caused by instrumental or optical limitations such as imperfect overlap of detection volumes or detector cross-talk. Furthermore, the nature and properties of used fluorescent proteins or fluorescent dyes, such as labeling efficiency, fluorescent protein maturation, photo-stability, bleaching and fluorescence brightness can have an impact. Here we take advantage of lifetime differences as a mean to discriminate fluorescent proteins with similar spectral properties and to use them for single-color fluorescence lifetime cross-correlation spectroscopy (sc-FLCCS). By using only one excitation and one detection wavelength, this setup avoids all sources of errors resulting from chromatic aberrations and detector cross-talk. To establish sc-FLCCS we first engineered and tested multiple GFP-like fluorescent proteins for their suitability. This identified a novel GFP variant termed slmGFP (short lifetime monomeric GFP) with the so-far shortest lifetime. Monte-Carlo simulations were employed to explore the suitability of different combinations of GFP variants. Two GFPs, Envy and slmGFP were predicted to constitute the best performing couple for sc-FLCCS measurements. We demonstrated application of this GFP pair for measuring protein interactions between the proteasome and interacting proteins and for measuring protein interactions between three partners when combined with a red florescent protein. Together, our findings establish sc-FLCCS as a valid alternative for conventional dual-color(dc)-FCCS measurements. STATEMENT OF SIGNIFICANCEThe quantification of protein concentrations and protein-protein interactions in vivo is a crucial information needed for the understanding of complex processes inside cells. Determination of such information is unfortunately still challenging. Fluorescence-based method like fluorescence cross-correlation spectroscopy (FCCS) is the only method which provides this information in vivo and almost in the real time, however it suffers from limitations caused by experimental setup and biological origin of fluorescent proteins. We present single-color fluorescence lifetime cross-correlation spectroscopy as an alternative to FCCS, which uses the information of fluorescence lifetime to overcome some of these limitations. We challenged the method and determined its advantages and limitations and demonstrated the applicability of the method on the proteins of yeast proteasome.

cell biology↗

Pooled clone collections by multiplexed CRISPR/Cas12a-assisted gene tagging in yeast

Clone collections of modified strains ( libraries) are a major resource for systematic studies with the yeast Saccharomyces cerevisiae. Construction of such libraries is time-consuming, costly and confined to the genetic background of a specific yeast strain. To overcome these limitations, we developed CRISPR/Cas12a (Cpf1)-assisted tag library engineering (CASTLING) for multiplexed strain construction. CASTLING uses microarray-synthesized oligonucleotide pools and in vitro recombineering to program the genomic insertion of long DNA constructs via homologous recombination. One simple transformation yields pooled libraries with >90% of correctly tagged clones. Up to several hundred genes can be tagged in a single step and, on a genomic scale, approximately half of all genes are tagged with only ~10-fold oversampling. We report several parameters that affect tagging success and provide a quantitative targeted next-generation sequencing method to analyze such pooled collections. Thus, CASTLING unlocks new avenues for increased throughput in functional genomics and cell biology research. (max 150 words)

genomics↗

CRISPR/Cas12a-assisted PCR tagging of mammalian genes

Here we describe a time-efficient strategy for endogenous C-terminal gene tagging in mammalian tissue culture cells. An online platform is used to design two long gene-specific oligonucleotides for PCR with generic template cassettes to create linear dsDNA donors, termed PCR cassettes. PCR cassettes encode the tag (e.g. GFP), a Cas12a CRISPR RNA for cleavage of the target locus and short homology arms for directed integration via homologous recombination. The integrated tag is coupled to a generic terminator shielding the tagged gene from the co-inserted auxiliary sequences. Co-transfection of PCR cassettes with a Cas12a-encoding plasmid leads to robust endogenous expression of tagged genes, with tagging efficiency of up to 20% without selection, and up to 60% when selection markers are used. We used target-enrichment sequencing to investigate all potential sources of artefacts. Our work outlines a quick strategy particularly suitable for exploratory studies using endogenous expression of fluorescent protein tagged genes

cell biology↗

A genome-wide resource for high-throughput genomic tagging of yeast ORFs

Here we describe a C-SWAT library for high-throughput tagging of Saccharomyces cerevisiae ORFs. It consists of 5661 strains with an acceptor module inserted after each ORF, which can be efficiently replaced with tags or regulatory elements. We validate the library with targeted sequencing and demonstrate its use by tagging the yeast proteome with bright fluorescent proteins, determining how sequences downstream of ORFs influence protein expression and localizing previously undetected proteins.

genomics↗