In Vivo Fast Photochemical Oxidation of Proteins Using Enhanced Multiplexing Proteomics

In vivo fast photochemical oxidation of proteins (IV-FPOP) is a hydroxyl radical protein footprinting method used to study protein structure and protein–protein interactions. Oxidatively modified proteins by IV-FPOP are analyzed by mass spectrometry (MS), and the extent of oxidation is quantified by label-free MS. Peptide oxidation changes yield useful information about protein structure, due to changes in solvent accessibility. However, the sample size necessary for animal studies requires increased sample preparation and instrument time. Here, we report the combined application of IV-FPOP and the enhanced multiplexing strategy combined precursor isotopic labeling and isobaric tagging (cPILOT) for higher-throughput analysis of oxidative modifications in C. elegans. Key differences in the performance of label-free MS and cPILOT were identified. The addition of oxygen (+16) was the most abundant modification identified among all known possible FPOP modifications. This study presents IV-FPOP coupled with enhanced multiplexing strategies such as cPILOT to increase throughput of studies seeking to examine oxidative protein modifications.

Evaluating Combined Precursor Isotopic Labeling and Isobaric Tagging Performance on Orbitraps To Study the Peripheral Proteome of Alzheimer's Disease

Combined precursor isotopic labeling and isobaric tagging (cPILOT) is an enhanced multiplexing strategy currently capable of analyzing up to 24 samples simultaneously. This capability is especially helpful when studying multiple tissues and biological replicates in models of disease, such as Alzheimer's disease (AD). Here, cPILOT was used to study proteomes from heart, liver, and brain tissues in a late-stage amyloid precursor protein/presenilin-1 (APP/PS-1) human transgenic double-knock-in mouse model of AD. The original global cPILOT assay developed on an Orbitrap Velos instrument was transitioned to an Orbitrap Fusion Lumos instrument. The advantages of faster scan rates, lower limits of detection, and synchronous precursor selection on the Fusion Lumos afford greater numbers of isobarically tagged peptides to be quantified in comparison to the Orbitrap Velos. Parameters such as LC gradient, m/z isolation window, dynamic exclusion, targeted mass analyses, and synchronous precursor scan were optimized leading to >600 000 PSMs, corresponding to 6074 proteins. Overall, these studies inform of system-wide changes in brain, heart, and liver proteins from a mouse model of AD.

Exposing the Brain Proteomic Signatures of Alzheimer's Disease in Diverse Racial Groups: Leveraging Multiple Data Sets and Machine Learning

Recent studies have highlighted that the proteome can be used to identify potential biomarker candidates for Alzheimer's disease (AD) in diverse cohorts. Furthermore, the racial and ethnic background of participants is an important factor to consider to ensure the effectiveness of potential biomarkers for representative populations. A promising approach to survey potential biomarker candidates for diagnosing AD in diverse cohorts is the application of machine learning to proteomics data sets. Herein, we leveraged six existing bottom-up proteomics data sets, which included non-Hispanic White, African American/Black, and Hispanic participants, to study protein changes in AD and cognitively unimpaired participants. Machine learning models were applied to these data sets and resulted in the identification of amyloid-β precursor protein (APP) and heat shock protein β-1 (HSPB1) as two proteins that have high ability to distinguish AD; however, each protein's performance varied based upon the racial and ethnic background of the participants. HSPB1 particularly was helpful for generating high areas under the curve (AUCs) for African American/Black participants. Overall, HSPB1 improved the performance of the machine learning models when combined with APP and/or participant age and is a potential candidate that should be further explored in AD biomarker discovery efforts.

Insights into aging through measurements of the Drosophila proteome as a function of temperature

Drosophila melanogaster is used as a model system to investigate protein changes associated with the aging process under conditions that alter organism lifespan. Changes in the proteome are assessed at various ages in populations of Oregon-R adult males that have mean lifetimes of 47 and 111 days at 28 and 18°C, respectively. Peptide hits detected from strong-cation-exchange and reversed-phase liquid chromatography coupled to tandem mass spectrometry analysis are employed to examine patterns in relative protein expression. Thirty-three proteins were identified as having similar patterns of expression at both temperatures investigated when scaling the organism age to lifespan. In addition, the proteins ferritin 2 light chain homologue and larval serum protein 1β were identified in relatively high abundance and displayed distinctly different patterns of expression between the two temperatures. Overall, the results support the notion that aspects of the aging process may be preprogrammed at the protein level.

Nanoemitters and innate immunity: the role of surfactants and bio-coronas in myeloperoxidase-catalyzed oxidation of pristine single-walled carbon nanotubes

Single-walled carbon nanotubes (SWCNTs) are experimentally utilized in in vivo imaging and photothermal cancer therapy owing to their unique physicochemical and electronic properties. For these applications, pristine carbon nanotubes are often modified by polymer surfactant coatings to improve their biocompatibility, adding more complexity to their recognition and biodegradation by immuno-competent cells. Here, we investigate the oxidative degradation of SWCNTs catalyzed by neutrophil myeloperoxidase (MPO) using bandgap near-infrared (NIR) photoluminescence and Raman spectroscopy. Our results show diameter-dependence at the initial stages of the oxidative degradation of sodium cholate-, DNA-, and albumin-coated SWCNTs, but not phosphatidylserine-coated SWCNTs. Moreover, sodium deoxycholate- and phospholipid-polyethylene glycol coated SWCNTs were not oxidized under the same reaction conditions, indicating that a surfactant can greatly impact the biodegradability of a nanomaterial. Our data also revealed that possible binding between MPO and surfactant coated-SWCNTs was unfavorable, suggesting that oxidation is likely caused by a hypochlorite generated through halogenation cycles of free MPO, and not MPO bound to the surface of SWCNTs. The identification of SWCNT diameters and coatings that retain NIR fluorescence during the interactions with the components of an innate immune system is important for their applications in in vivo imaging.

Effects of Fe(II)/H2O2 oxidation on ubiquitin conformers measured by ion mobility-mass spectrometry

Oxidative modifications can have significant effects on protein structure in solution. Here, the structures and stabilities of oxidized ubiquitin ions electrosprayed from an aqueous solution (pH 2) are studied by ion mobility spectrometry-mass spectrometry (IMS-MS). IMS-MS has proven to be a valuable technique to assess gas phase and in many cases, solution structures. Herein, in vitro oxidation is performed by Fenton chemistry with Fe(II)/hydrogen peroxide. Most molecules in solution remain unmodified, whereas ∼20% of the population belongs to an M+16 Da oxidized species. Ions of low charge states (+7 and +8) show substantial variance in collision cross section distributions between unmodified and oxidized species. Novel and previously reported gaussian conformers are used to model cross section distributions for +7 and +8 oxidized ubiquitin ions, respectively, in order to correlate variances in observed gas-phase distributions to changes in populations of solution states. Based on gaussian modeling, oxidized ions of charge state +7 have an A-state conformation which is more populated for oxidized relative to unmodified ions. Oxidized ubiquitin ions of charge state +8 have a distribution of conformers arising from native-state ubiquitin and higher intensities of A- and U-state conformers relative to unmodified ions. This work provides evidence that incorporation of a single oxygen atom to ubiquitin leads to destabilization of the native state in an acidic solution (pH ∼2) and to unfolding of gas-phase compact structures.

Framework for creating storytelling materials to promote African American/Black adult enrollment in research on Alzheimer's disease and related disorders

INTRODUCTION

African American/Black adults are severely underrepresented in basic, clinical, and behavioral research studies in Alzheimer's disease and related disorders (ADRD). Innovative, evidence-based, and culturally salient strategies can maximize the recruitment of African American/Black adults into ADRD research.

METHODS

We conducted and analyzed semi-structured interviews to capture the research participation stories of African American/Black participants and study partners from the University of Pittsburgh's Alzheimer's Disease Research Center. The themes and messaging principles generated through this process informed the development of video- and text-based materials that were evaluated for community member acceptance using focus groups.

RESULTS

Focus group individuals (N = 36) generally favorably rated the video and text materials, characterizing them as "interesting," "realistic," and "convincing."

DISCUSSION

Capturing the narratives of African American/Black research participants is a critical component to developing culturally relevant materials for broader dissemination and is essential to advancing beyond information-only recruitment approaches, which tend to rely disproportionately on negative messages.

A Diverse View of Science to Catalyse Change

Valuing diversity leads to scientific excellence, the progress of science and most importantly, it is simply the right thing to do. We can value diversity not only in words, but also in actions.

Targeted Lipidomics To Measure Phospholipids and Sphingomyelins in Plasma: A Pilot Study To Understand the Impact of Race/Ethnicity in Alzheimer's Disease

The number of people suffering from Alzheimer's disease (AD) is increasing rapidly every year. One aspect of AD that is often overlooked is the disproportionate incidence of AD among African American/Black populations. With the recent development of novel assays for lipidomics analysis in recent times, there has been a drastic increase in the number of studies focusing on changes of lipids in AD. However, very few of these studies have focused on or even included samples from African American/Black individuals samples. In this study, we aimed to determine if the lipidome in AD is universal across non-Hispanic White and African American/Black individuals. To accomplish this, a targeted mass spectrometry lipidomics analysis was performed on plasma samples (N = 113) obtained from cognitively normal (CN, N = 54) and AD (N = 59) individuals from African American/Black (N = 56) and non-Hispanic White (N = 57) backgrounds. Five lipids (PS 18:0_18:0, PS 18:0_20:0, PC 16:0_22:6, PC 18:0_22:6, and PS 18:1_22:6) were altered between AD and CN sample groups (p value < 0.05). Upon racial stratification, there were notable differences in lipids that were unique to African American/Black or non-Hispanic White individuals. PS 20:0_20:1 was reduced in AD in samples from non-Hispanic White but not African American/Black adults. We also tested whether race/ethnicity significantly modified the association between lipids and AD status by including a race × diagnosis interaction term in a linear regression model. PS 20:0_20:1 showed a significant interaction (p = 0.004). The discovery of lipid changes in AD in this study suggests that identifying relevant lipid biomarkers for diagnosis will require diversity in sample cohorts.

Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)

There is an increasing demand to analyze many biological samples for disease understanding and biomarker discovery. Quantitative proteomics strategies that allow simultaneous measurement of multiple samples have become widespread and greatly reduce experimental costs and times. Our laboratory developed a technique called combined precursor isotopic labeling and isobaric tagging (cPILOT), which enhances sample multiplexing of traditional isotopic labeling or isobaric tagging approaches. Global cPILOT can be applied to samples originating from cells, tissues, bodily fluids, or whole organisms and gives information on relative protein abundances across different sample conditions. cPILOT works by 1) using low pH buffer conditions to selectively dimethylate peptide N-termini and 2) using high pH buffer conditions to label primary amines of lysine residues with commercially-available isobaric reagents (see Table of Materials/Reagents). The degree of sample multiplexing available is dependent on the number of precursor labels used and the isobaric tagging reagent. Here, we present a 12-plex analysis using light and heavy dimethylation combined with six-plex isobaric reagents to analyze 12 samples from mouse tissues in a single analysis. Enhanced multiplexing is helpful for reducing experimental time and cost and more importantly, allowing comparison across many sample conditions (biological replicates, disease stage, drug treatments, genotypes, or longitudinal time-points) with less experimental bias and error. In this work, the global cPILOT approach is used to analyze brain, heart, and liver tissues across biological replicates from an Alzheimer's disease mouse model and wild-type controls. Global cPILOT can be applied to study other biological processes and adapted to increase sample multiplexing to greater than 20 samples.

Global effects of adriamycin treatment on mouse splenic protein levels

Adriamycin (ADR) is a potent anticancer drug used to treat a variety of cancers. Patients treated with ADR have experienced side effects such as heart failure, cardiomyopathy, and "chemobrain", which have been correlated to changes in protein expression in the heart and brain. In order to better understand cellular responses that are disrupted following ADR treatment in immune tissues, this work focuses on spleen. Significantly reduced spleen sizes were found in ADR-treated mice. Global isotopic labeling of tryptic peptides and nanoflow reversed-phase liquid chromatography-tandem mass spectrometry (LC-MS/MS) were employed to determine differences in the relative abundances of proteins from ADR-treated mice relative to controls. Fifty-nine proteins of the 388 unique proteins identified showed statistically significant differences in expression levels following acute ADR treatment. Differentially expressed proteins are involved in processes such as cytoskeletal structural integrity, cellular signaling and transport, transcription and translation, immune response, and Ca(2+) binding. These are the first studies to provide insight to the downstream effects of ADR treatment in a peripheral immune organ such as spleen using proteomics.

Proteomic changes associated with racial background and sepsis survival outcomes

Intra-abdominal infection is a common cause of sepsis, and intra-abdominal sepsis leads to ∼156 000 U.S. deaths annually. African American/Black adults have higher incidence and mortality rates from sepsis compared to Non-Hispanic White adults. A limited number of studies have traced survival outcomes to molecular changes; however, these studies primarily only included Non-Hispanic White adults. Our goal is to better understand molecular changes that may contribute to differences in sepsis survival in African American/Black and Non-Hispanic White adults with primary intra-abdominal infection. We employed discovery-based plasma proteomics of patient samples from the Protocolized Care for Early Septic Shock (ProCESS) cohort (N = 107). We identified 49 proteins involved in the acute phase response and complement system whose expression levels are associated with both survival outcome and racial background. Additionally, 82 proteins differentially-expressed in survivors were specific to African American/Black or Non-Hispanic White patients, suggesting molecular-level heterogeneity in sepsis patients in key inflammatory pathways. A smaller, robust set of 19 proteins were in common in African American/Black and Non-Hispanic White survivors and may represent potential universal molecular changes in sepsis. Overall, this study identifies molecular factors that may contribute to differences in survival outcomes in African American/Black patients that are not fully explained by socioeconomic or other non-biological factors.

Dataset of quantitative proteomic analysis to understand aging processes in rabbit liver

Here, we present a proteomics dataset of liver proteins to understand aging in rabbits, which complements the publication “Quantitative proteomics to study aging in rabbit liver” [1]. This dataset was generated to understand the molecular basis and metabolic changes of aging processes in liver, which is the main organ involved in metabolism, detoxification, transport, and signaling. Proteins from young, middle, and old age rabbits were extracted and digested. Generated peptides were labeled with light or heavy dimethyl groups at their N-termini, while lysine amines were labeled with TMT10-plex using a cPILOT workflow [2]. Labeled peptides were fractionated by basic pH reverse phase chromatography and analyzed with online reverse phase LC coupled with tandem mass spectrometry (MS/MS and MS³). The RAW files were generated using a Fusion Lumos Orbitrap mass spectrometer (Thermo Scientific) and processed with Proteome Discoverer (PD) version 2.2 to generate a list of identified and quantified proteins. Data was searched against the Rabbit UniProtKB redundant database. A total of 3,867 proteins were identified corresponding to 2,586 protein groups and 22,229 peptides. Dynamic levels of age-related proteins associated with fat metabolism, mitochondrial dysfunction, and protein degradation were detected. The mass spectrometry proteomics data (RAW files) and processed Proteome Discoverer 2.2 files (MSF files) have been deposited to the Proteomics Identification Database (PRIDE) ProteomeXchange Consortium and can be accessed with the dataset identifier PDX013220 (http://www.ebi.ac.uk/pride/archive/projects/PXD013220).

A diverse view of science to catalyse change

Valuing diversity leads to scientific excellence, the progress of science and, most importantly, it is simply the right thing to do. We must value diversity not only in words, but also in actions.

Establishing Quality Control Procedures for Large-Scale Plasma Proteomics Analyses

Proteomics research has been transformed due to high-throughput liquid chromatography (LC-MS/MS) tandem mass spectrometry instruments combined with highly sophisticated automated sample preparation and multiplexing workflows. However, scaling proteomics experiments to large sample cohorts (hundreds to thousands) requires thoughtful quality control (QC) protocols. Robust QC protocols can help with reproducibility, quantitative accuracy, and provide opportunities for more decisive troubleshooting. Our laboratory conducted a plasma proteomics study of a cohort of N = 335 patient samples using tandem mass tag (TMT_pro) 16-plex batches. Over the course of a 10-month data acquisition period for this cohort we collected 271 pooled QC LC-MS/MS result files obtained from MS/MS analysis of a patient-derived pooled plasma sample, representative of the entire cohort population. This sample was tagged with TMT_zero or TMT_pro reagents and used to inform the daily performance of the LC-MS/MS instruments and to allow within and across sample batch normalization. Analytical variability of a number of instrumental and data analysis metrics including protein and peptide identifications, peptide spectral matches (PSMs), number of obtained MS/MS spectra, average peptide abundance, percent of peptides with a Δ m/z between ±0.003 Da, percent of MS/MS spectra obtained at the maximum injection time, and the retention time of selected tracking peptides were evaluated to help inform the design of a robust LC-MS/MS QC workflow for use in future cohort studies. This study also led to general tips for using selected metrics to inform real-time troubleshooting of LC-MS/MS performance issues with daily QC checks.

MS(3)-based quantitative proteomics using pulsed-Q dissociation

RATIONALE

Isobaric tagging reagents, such as tandem mass tags (TMT) and isobaric tags for relative and absolute quantitation (iTRAQ), are high-throughput methods that allow the analysis of multiple samples simultaneously, which reduces instrument time and error. Accuracy and precision of isobaric tags are limited, however, in tandem mass spectrometry (MS/MS) acquisition due to co-isolation and co-fragmentation of neighboring peptide peaks in precursor scans. Here we present a MS(3) method using pulsed-Q dissociation (PQD) in ion trap and Orbitrap instrumentation as a means to improve ratio distortion and maintain high numbers of identified and quantified proteins.

METHODS

Mouse brain protein digests were labeled with TMT-128, 129, 130, 131 reagents, mixed in the following molar ratios 1:1:2:5, respectively, and analyzed using HCD-MS(3) and PQD-MS(3) methods. The most intense fragment ion (termed as HCD-MS(3)-top ion or PQD-MS(3)-top ion) or y1 ion (i.e., lysine-TMT tag ion; termed as HCD-MS(3)-y1 or PQD-MS(3)-y1) in collision-induced dissociation (CID) MS/MS was selected for MS(3).

RESULTS

Calculated protein ratios obtained in HCD-MS(3)-top ion and PQD-MS(3)-top ion, HCD-MS(3)-y1, and PQD-MS(3)-y1 are accurate and PQD-MS(3) methods resulted in higher numbers of identified and quantified peptide spectral counts and proteins.

CONCLUSIONS

PQD-MS(3) methods increase the amount of MS/MS spectra collected and number of quantified proteins and are accessible to those researchers with not only an orbitrap but also an ion trap mass spectrometer.

Mechanisms by which Cultural-Centric Narrative Influences Interest in ADRD Research Among African American Adults

BACKGROUND AND OBJECTIVES

Insufficient ethnoracial diversity is a pervasive challenge in Alzheimer's disease (AD) research. The Recruitment Innovations for Diversity Enhancement (RIDE) is grounded in the premise that culturally informed narratives of research participation can inspire individuals from a given culture-sharing group to consider research enrollment. This study examines factors associated with interest in AD research among Black or African American adults following exposure to RIDE narrative campaign materials.

RESEARCH DESIGN AND METHODS

A community-based sample of 500 Black or African American adults viewed RIDE narrative materials online and completed a survey of perceptions about research, AD risk, and likelihood of enrolling in AD research. Logistic regression examined predictors and mediators of self-reported likelihood of participating in AD research.

RESULTS

Most (72%) participants reported interest in being contacted for AD research opportunities. After controlling for key variables, prior experience with clinical research and trust in medical researchers emerged as independent predictors of likelihood of enrolling in AD research. Perceived burden of AD research partially mediated the effects of prior research experience and trust on likelihood of enrollment. Perceived benefits of AD research also played a mediating role, accounting for over one third of the effect of trust on likelihood of enrollment.

DISCUSSION AND IMPLICATIONS

This study advances the field's understanding of how narrative may function to enhance diversity in AD research. Findings suggest that participant narratives should address experiences regarding the burdens and potential benefits of AD research participation as these factors may influence decisions leading to subsequent research enrollment.

A diverse view of science to catalyse change

Valuing diversity leads to scientific excellence, the progress of science and, most importantly, it is simply the right thing to do. We must value diversity not only in words, but also in actions. This article is co-published in the following journals: Nature Chemistry (<a target="_blank" rel="nofollow" href="https://doi.org/10.1038/s41557-020-0529-x">https://doi.org/10.1038/s41557-020-0529-x</a>), Chemical Science (<a target="_blank" rel="nofollow" href="https://doi.org/10.1039/D0SC90150D">https://doi.org/10.1039/D0SC90150D</a>), Journal of the American Chemical Society (<a target="_blank" rel="nofollow" href="https://doi.org/10.1021/jacs.0c07877">https://doi.org/10.1021/jacs.0c07877</a>), Angewandte Chemie International Edition (<a target="_blank" rel="nofollow" href="https://doi.org/%2010.1002/anie.202009834">https://doi.org/ 10.1002/anie.202009834</a>), Canadian Journal of Chemistry (<a target="_blank" rel="nofollow" href="https://doi.org/10.1139/cjc-2020-0323">https://doi.org/10.1139/cjc-2020-0323</a>), and Croatica Chemica Acta (<a target="_blank" rel="nofollow" href="https://doi.org/10.5562/diversity2020">https://doi.org/10.5562/diversity2020</a>).

Enhanced Multiplexing Technology for Proteomics

The identification of thousands of proteins and their relative levels of expression has furthered understanding of biological processes and disease and stimulated new systems biology hypotheses. Quantitative proteomics workflows that rely on analytical assays such as mass spectrometry have facilitated high-throughput measurements of proteins partially due to multiplexing. Multiplexing allows proteome differences across multiple samples to be measured simultaneously, resulting in more accurate quantitation, increased statistical robustness, reduced analysis times, and lower experimental costs. The number of samples that can be multiplexed has evolved from as few as two to more than 50, with studies involving more than 10 samples being denoted as enhanced multiplexing or hyperplexing. In this review, we give an update on emerging multiplexing proteomics techniques and highlight advantages and limitations for enhanced multiplexing strategies.