Biology subjects

Hebert, A. S.

Publications and source records attributed to Hebert, A. S..

5 recordsLinked to original sources

bioRxiv2026

Rapid Peptide Mapping of Monoclonal Antibodies with Direct Infusion Mass Spectrometry

Peptide mapping is a critical tool for characterizing biotherapeutic proteins and is essential for the development of monoclonal antibody drugs. Here we describe a new direct infusion technology that streamlines peptide mapping data collection and analysis, accelerating the method by up to 100-fold. This method, which we term RaPiD-mAb-MS, combines high-throughput plate-based sample preparation with direct infusion mass spectrometry analysis. RaPiD-mAb-MS allows analysis of 96 samples within [~] 1.5 to 2 hours, routinely achieves >95% sequence coverage, and has been successfully applied to 28 unique antibodies and over 2,000 samples. Here we demonstrate that RaPiD-mAb-MS detects and quantifies oxidation, deamidation, isomerization, glycosylation, and sequence variants with results comparable to conventional LC-MS based methods in a fraction of the time. Further, by eliminating chromatography, data analysis is greatly streamlined and simplified. By allowing for the collection of [~] 1,000 peptide maps per day, RaPiD-mAb-MS is positioned to accelerate all phases of antibody-based drug discovery & development and sets the stage for collection of massive datasets that would allow artificial intelligent prediction of optimal antibody variants and formulations.

biochemistry↗

bioRxiv2022

Molecular anatomy of eosinophil activation by IL5 and IL33

IL5 and IL33 are major activating cytokines that cause circulating eosinophils to polarize, adhere, and release their granule contents. We correlated microscopic features of purified human blood eosinophils stimulated for 10 min with IL5 or IL33 with phosphoproteomic changes determined by multiplexed isobaric labeling. IL5 caused phosphorylation of sites implicated in JAK/STAT signaling and localization of pYSTAT3 to nuclear speckles whereas IL33 caused phosphorylation of sites implicated in NF{kappa}B signaling and localization of RELA to nuclear speckles. Phosphosites commonly impacted by IL5 and IL33 were involved in networks associated with cytoskeletal organization and eosinophil adhesion and migration. Many differentially regulated phosphosites were in a diverse set of large proteins--RAB44, a "large RAB" associated with crystalloid granules; NHSL2 and VIM that change localization along with the nucleus during polarization; TNFAIP3 vital for control of NF{kappa}B signaling, and SRRM2 and PML that localize, respectively, to nuclear speckles and PML bodies. Gene expression analysis demonstrated differential effects of IL5 and IL33 on IL18, CCL5, CSF1, and TNFSF14. Thus, common effects of IL5 and IL33 on the eosinophil phosphoproteome are important for positioning in tissues, degranulation, and initiation of new protein synthesis whereas specific effects on protein synthesis contribute to phenotypic heterogeneity. KEY POINTSIL33 and IL5 impact common pathways of eosinophil cytoskeletal reorganization, adhesion and migration. Each lobe of the human eosinophil nucleus has a specific anatomy poised for new onset of cytokine-specific transcription and splicing.

cell biology↗

bioRxiv2019

Heterologous glycosyl hydrolase expression and cellular reprogramming resembling sucrose-induction enable Zymomonas mobilis growth on cellobiose

Plant derived fuels and chemicals from renewable biomass have significant potential to replace reliance on petroleum and improve global carbon balance. However, plant biomass contains significant fractions of oligosaccharides that are not usable natively by many industrial microorganisms, including Escherichia coli, Saccharomyces cerevisiae, and Zymomonas mobilis. Even after chemical or enzymatic hydrolysis, some carbohydrate remains as non-metabolizable oligosaccharides (e.g., cellobiose or longer cellulose-derived oligomers), thus reducing the efficiency of conversion to useful products. To begin to address this problem for Z. mobilis, we engineered a strain (Z. mobilis GH3) that expresses a glycosyl hydrolase (GH) with {beta}-glucosidase activity from Caulobacter crescentus and subjected it to an adaptation in cellobiose medium. Growth on cellobiose was achieved after a prolonged lag phase in cellobiose medium that induced changes in gene expression and cell composition, including increased expression and secretion of GH. These changes were reversible upon growth in glucose-containing medium, meaning they did not result from genetic mutation but could be retained upon transfer of cells to fresh cellobiose medium. After adaptation to cellobiose, our GH-expressing strain was able to convert about 50% of cellobiose to glucose within 24 hours and use it for growth and ethanol production. Alternatively, pre-growth of Z. mobilis GH3 in sucrose medium enabled immediate growth on cellobiose. Proteomic analysis of cellobiose- and sucrose-adapted strains revealed upregulation of secretion-, transport-, and outer membrane-related proteins, which may aid secretion or surface display of GHs, entry of cellobiose into the periplasm, or both. Our two key findings are that Z. mobilis can be reprogrammed to grow on cellobiose as a sole carbon source and that this reprogramming is related to a natural response of Z. mobilis to sucrose that enables sucrose secretion.

microbiology↗

bioRxiv2019

Capturing site-specific heterogeneity with large-scale N-glycoproteome analysis

Protein glycosylation is a highly important, yet a poorly understood protein post-translational modification. Thousands of possible glycan structures and compositions create potential for tremendous site heterogeneity and analytical challenge. A lack of suitable analytical methods for large-scale analyses of intact glycopeptides has ultimately limited our abilities to both address the degree of heterogeneity across the glycoproteome and to understand how it contributes biologically to complex systems. Here we show that N-glycoproteome site-specific microheterogeneity can be captured via large-scale glycopeptide profiling with methods enabled by activated ion electron transfer dissociation (AI-ETD), ultimately characterizing 1,545 N-glycosites (>5,600 unique N-glycopeptides) from mouse brain tissue. Moreover, we have used this large-scale glycoproteomic data to develop several new visualizations that will prove useful for analyzing intact glycopeptides in future studies. Our data reveal that N-glycosylation profiles can differ between subcellular regions and structural domains and that N-glycosite heterogeneity manifests in several different forms, including dramatic differences in glycosites on the same protein.

systems biology↗

bioRxiv2017

A Molecular Portrait Of De Novo Genes

New genes, with novel protein functions, can evolve \"from scratch\" out of intergenic sequences. These de novo genes can integrate the cells genetic network and drive important phenotypic innovations. Therefore, identifying de novo genes and understanding how the transition from noncoding to coding occurs are key problems in evolutionary biology. However, identifying de novo genes is a difficult task, hampered by the presence of remote homologs, fast evolving sequences and erroneously annotated protein coding genes. To overcome these limitations, we developed a procedure that handles the usual pitfalls in de novo gene identification and predicted the emergence of 703 de novo genes in 15 yeast species from two genera whose phylogeny spans at least 100 million years of evolution. We established that de novo gene origination is a widespread phenomenon in yeasts, only a few being ultimately maintained by selection. We validated 82 candidates, by providing new translation evidence for 25 of them through mass spectrometry experiments. We also unambiguously identified the mutations that enabled the transition from non-coding to coding for 30 Saccharomyces de novo genes. We found that de novo genes preferentially emerge next to divergent promoters in GC-rich intergenic regions where the probability of finding a fortuitous and transcribed ORF is the highest. We found a more than 3-fold enrichment of de novo genes at recombination hot spots, which are GC-rich and nucleosome-free regions, suggesting that meiotic recombination would be a major driving force of de novo gene emergence in yeasts.

evolutionary biology↗