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A robust top down proteomics method is presented for profiling alpha-synuclein species from autopsied human frontal cortex brain tissue from Parkinson's cases and controls. The method was used to test the hypothesis that pathology associated brain tissue will have a different profile of post-translationally modified alpha-synuclein than the control samples. Validation of the sample processing steps, mass spectrometry based measurements and data processing steps were performed. The intact protein quantitation method features extraction and integration of m/z data from each charge state of a detected alpha-synuclein species and fitting of the data to a simple linear model which accounts for concentration and charge state variability. The quantitation method was validated with serial dilutions of intact protein standards. Using the method on the human brain samples, several previously unreported modifications in alpha-synuclein were identified. Low levels of phosphorylated alpha synuclein were detected in brain tissue fractions enriched for Lewy body pathology and were marginally significant between PD cases and controls (p = 0.03).

The peptide hormone ghrelin is the only known protein modified with an O-linked octanoyl side group, which occurs on its third serine residue. This modification is crucial for ghrelin's physiological effects including regulation of feeding, adiposity, and insulin secretion. Despite the crucial role for octanoylation in the physiology of ghrelin, the lipid transferase that mediates this novel modification has remained unknown. Here we report the identification and characterization of human GOAT, the ghrelin O-acyl transferase. GOAT is a conserved orphan membrane-bound O-acyl transferase (MBOAT) that specifically octanoylates serine-3 of the ghrelin peptide. Transcripts for both GOAT and ghrelin occur predominantly in stomach and pancreas. GOAT is conserved across vertebrates, and genetic disruption of the GOAT gene in mice leads to complete absence of acylated ghrelin in circulation. The occurrence of ghrelin and GOAT in stomach and pancreas tissues demonstrates the relevance of GOAT in the acylation of ghrelin and further implicates acylated ghrelin in pancreatic function.

Methods for the reliable and effective detection and identification of impurities are crucial to ensure the quality and safety of biopharmaceutical products. Technical limitations constrain the accurate identification of individual impurity peaks by size-based electrophoresis separations followed by mass spectrometry. This study presents a size-based electrophoretic method for detecting and identifying impurity peaks in antibody production. A hydrogen sulfide-accelerated degradation method was employed to generate known degradation products observed in bioreactors that forms the basis for size calibration. LabChip GXII channel electrophoresis enabled the rapid (< 1 min) detection of impurity peaks based on size, while capillary zone electrophoresis-mass spectrometry (CZE-MS) facilitated their accurate identification. We combine these techniques to examine impurities resulting from cell culture harvest conditions and forced degradation to assess antibody stability. To mimic cell culture harvest conditions and the impact of forced degradation, we subjected samples to cathepsin at different pH buffers or exposed them to high pH and temperature. Our method demonstrated the feasibility and broad applicability of using a CZE-MS generated spectral library to unambiguously assign peaks in high throughput size-based electrophoresis (i.e., LabChip GXII) with identifications or likely mass of the antibody impurity. Overall, this strategy combines the utility of CZE-MS as a high-resolution separation and detection method for impurities with size-based electrophoresis methods that are typically used to detect (not identify) impurities during the discovery and development of antibody therapeutics.

Immunogenicity of biomolecules is one of the largest concerns in biological therapeutic drug development. Adverse immune responses as a result of immunogenicity to biotherapeutics range from mild hypersensitivity reactions to potentially life-threatening anaphylactic reactions and can negatively impact human health and drug efficacy. Numerous confounding patient-, product- or treatment-related factors can influence the development of an immune reaction against therapeutic proteins. The goal of this study was to investigate the relationship between pre-existing drug reactivity (PE-ADA), individual immunogenetics (MHC class II haplotypes), and development of treatment-induced antidrug antibodies (TE-ADA) in cynomolgus macaque. PE-ADA refers to the presence of antibodies immunoreactive against the biotherapeutic in treatment-naïve individuals. We observed that PE-ADA frequency against four different bispecific antibodies in naïve cynomolgus macaque is similar to that reported in humans. Additionally, we report a trend towards an increased incidence of TE-ADA development in macaques with high PE-ADA levels. In order to explore the relationship between MHC class II alleles and risk of ADA development, we obtained full-length MHC class II sequences from 60 cynomolgus macaques in our colony. We identified a total of 248 DR, DP, and DQ alleles and 236 unique haplotypes in our cohort indicating a genetically complex set of animals potentially reflective of the human population. Based on our observations, we propose the evaluation of the magnitude/frequency of pre-existing reactivity and consideration of MHC class II genetics as additional useful tools to understand the immunogenic potential of biotherapeutics.

Background: The recently discovered apolipoprotein A5 (ApoA5) is fast gaining attention as a key regulator of serum triglyceride concentrations. An ApoA5 mouse knock-out model produced an approximately fourfold increase in serum triglycerides, whereas a knock-in model with human ApoA5 produced 50–70% lower concentrations of mouse serum triglycerides. In addition, peroxisome proliferator-activated receptor-α agonists, which are used clinically to lower serum triglyceride concentrations, cause increased ApoA5 mRNA expression. Despite these compelling molecular biology data, relatively little is known about ApoA5 protein in human serum. Methods: To better understand circulating concentrations and lipoprotein particle distribution of ApoA5, we expressed the recombinant human ApoA5 protein and raised antibodies against both the NH2 and COOH termini. Results: Using the above reagents, we demonstrate for the first time that ApoA5 is present in human serum, although at much lower concentrations than other apolipoproteins such as ApoA1. Using a dual-antibody sandwich ELISA that we developed, we observed ApoA5 concentrations in human serum ranging from 24 to 406 μg/L compared with ∼1 g/L for ApoA1. We also examined the lipoprotein particle distribution of ApoA5 and found that ApoA5 was detectable in VLDL, HDL, and chylomicrons, but not LDL. Conclusions: These data demonstrate for the first time that ApoA5 is a secreted protein present in human serum and is associated with specific lipoprotein particles. In addition, our data indicate that the circulating concentration of human ApoA5 is very low compared with other apolipoproteins.

De novo sequencing by mass spectrometry (MS) allows for the determination of the complete amino acid (AA) sequence of a given protein based on the mass difference of detected ions from MS/MS fragmentation spectra. The technique relies on obtaining specific masses that can be attributed to characteristic theoretical masses of AAs. A major limitation of de novo sequencing by MS is the inability to distinguish between the isobaric residues leucine (Leu) and isoleucine (Ile). Incorrect identification of Ile as Leu or vice versa often results in loss of activity in recombinant antibodies. This functional ambiguity is commonly resolved with costly and time-consuming AA mutation and peptide sequencing experiments. Here, we describe a set of orthogonal biochemical protocols, which experimentally determine the identity of Ile or Leu residues in monoclonal antibodies (mAb) based on the selectivity that leucine aminopeptidase shows for n-terminal Leu residues and the cleavage preference for Leu by chymotrypsin. The resulting observations are combined with germline frequencies and incorporated into a logistic regression model, called Predictor for Xle Sites (PXleS) to provide a statistical likelihood for the identity of Leu at an ambiguous site. We demonstrate that PXleS can generate a probability for an Xle site in mAbs with 96% accuracy. The implementation of PXleS precludes the expression of several possible sequences and, therefore, reduces the overall time and resources required to go from spectra generation to a biologically active sequence for a mAb when an Ile or Leu residue is in question. Figure ᅟ