Quality Control in the Mass Spectrometry Proteomics Core: a Practical Primer DOI Creative Commons
Benjamin A. Neely, Yasset Pérez‐Riverol, Magnus Palmblad

et al.

Published: April 25, 2024

The past decade has seen widespread advances in quality control (QC) materials and software tools focused specifically on mass spectrometry-based proteomics, yet the rate of adoption is inconsistent. Despite fundamental importance QC, it typically falls behind learning new techniques, instruments, or software. Considering how important QC a core setting where data generated for non-mass spectrometry experts confidence delivered results paramount, we have created this quick-start guide focusing off-the-shelf relatively easy to use We hope that by providing background different levels their uses, describing design options, highlighting some current software, implementing will be easier than ever. There continues development each these areas (such as software), generation proteomics more capable conveying well minimizing laboratory downtime guiding experimental, technical, analytical troubleshooting from sample results.

Language: Английский

High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage DOI Creative Commons
Yunjia Lai, Jeremy P. Koelmel, Douglas G. Walker

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(29), P. 12784 - 12822

Published: July 10, 2024

In the modern "omics" era, measurement of human exposome is a critical missing link between genetic drivers and disease outcomes. High-resolution mass spectrometry (HRMS), routinely used in proteomics metabolomics, has emerged as leading technology to broadly profile chemical exposure agents related biomolecules for accurate measurement, high sensitivity, rapid data acquisition, increased resolution space. Non-targeted approaches are increasingly accessible, supporting shift from conventional hypothesis-driven, quantitation-centric targeted analyses toward data-driven, hypothesis-generating exposome-wide profiling. However, HRMS-based exposomics encounters unique challenges. New analytical computational infrastructures needed expand analysis coverage through streamlined, scalable, harmonized workflows pipelines that permit longitudinal tracking, retrospective validation, multi-omics integration meaningful health-oriented inferences. this article, we survey literature on state-of-the-art technologies, review current informatic pipelines, provide an up-to-date reference exposomic chemists, toxicologists, epidemiologists, care providers, stakeholders health sciences medicine. We propose efforts benchmark fit-for-purpose platforms expanding space, including gas/liquid chromatography-HRMS (GC-HRMS LC-HRMS), discuss opportunities, challenges, strategies advance burgeoning field exposome.

Language: Английский

Citations

20

Glycoproteomics: Charting new territory in mass spectrometry and glycobiology DOI
Stacy A. Malaker

Journal of Mass Spectrometry, Journal Year: 2024, Volume and Issue: 59(6)

Published: May 10, 2024

Abstract Glycosylation is an incredibly common and diverse post‐translational modification that contributes widely to cellular health disease. Mass spectrometry the premier technique study glycoproteins; however, glycoproteomics has lagged behind traditional proteomics due challenges associated with studying glycosylation. For instance, glycans dissociate by collision‐based fragmentation, thus necessitating electron‐based fragmentation for site‐localization. The vast glycan heterogeneity leads lower overall abundance of each glycopeptide, often, ion suppression observed. One biggest issues facing lack reliable software analysis, which necessitates manual validation serves as a massive bottleneck in data processing. Here, I will discuss these some ways field attempting address them, along perspectives on how believe we should move forward.

Language: Английский

Citations

7

Boosting the Sensitivity of Quantitative Single-Cell Proteomics with Infrared-Tandem Mass Tags DOI
Trenton M. Peters-Clarke, Yiran Liang, Keaton L. Mertz

et al.

Journal of Proteome Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 7, 2024

Single-cell proteomics is a powerful approach to precisely profile protein landscapes within individual cells toward comprehensive understanding of proteomic functions and tissue cellular states. The inherent challenges associated with limited starting material demand heightened analytical sensitivity. Just as advances in sample preparation maximize the amount that makes it from cell mass spectrometer, we strive number ions make ion source detector. In isobaric tagging experiments, reporter generation limits quantitative accuracy precision. combination infrared photoactivation parking circumvents

Language: Английский

Citations

3

Boosting the Sensitivity of Quantitative Single-Cell Proteomics with Activated lon-Tandem Mass Tags (AI-TMT) DOI Creative Commons
Trenton M. Peters-Clarke, Yiran Liang, Keaton L. Mertz

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 25, 2024

ABSTRACT Single-cell proteomics is a powerful approach to precisely profile protein landscapes within individual cells toward comprehensive understanding of proteomic functions and tissue cellular states. The inherent challenges associated with limited starting material in single-cell analyses demands heightened analytical sensitivity. Just as advances sample preparation maximize the amount that makes it from cell mass spectrometer, we strive number ions make ion source detector. In isobaric tagging experiments, reporter generation limits quantitative accuracy precision. combination infrared photoactivation parking circumvents m/z dependence HCD, maximizing avoiding unintended degradation TMT molecules method term activated ion-tandem tags (AI-TMT). was applied human proteomes using 18-plex TMTpro, resulting 4-5-fold increase signal on average compared conventional SPS-MS 3 approaches. AI-TMT enables faster duty cycles, higher throughput, increased peptide identification quantification. Comparative experiments showcase lower injection times for AI-TMT, providing superior sensitivity without compromising accuracy. all, enhances dynamic range compatible other techniques, including gas-phase fractionation real-time searching, promising gains study heterogeneity disease mechanisms.

Language: Английский

Citations

2

Instrumentation at the leading edge of proteomics DOI Creative Commons
Trenton M. Peters-Clarke, Joshua J. Coon, Nicholas M. Riley

et al.

Published: Nov. 17, 2023

The proteome, or collection of proteoforms expressed in a biological system, is dynamic and heterogeneous. As our appreciation for the complexity proteome has evolved, so have technologies we use to interrogate its composition. More than three decades ago, rapid expansion field proteomics was driven by advent soft ionization techniques focusing on capturing protein sequence information using mass spectrometry (MS). tools automate peptide sequencing with tandem MS (MS/MS) matured, recognized limits qualitatively cataloguing gene products.1,2 This realization drove multi-pronged MS-centric that seek capture various aspects proteins, including their abundance, modification states, conformation structure, spatiotemporal relationships.3–7 Here review innovations MS-based instrumentation continue expand ability survey ever increasing sensitivity, speed, flexibility. march progress been steady over better half past century, but discussion here focuses developments within five years ushered an exciting era proteomics, where poised be dominant platform exploring phenotypes basic translational sciences foreseeable future.

Language: Английский

Citations

6

Quality Control in the Mass Spectrometry Proteomics Core: a Practical Primer DOI Creative Commons
Benjamin A. Neely, Yasset Pérez‐Riverol, Magnus Palmblad

et al.

Published: April 25, 2024

The past decade has seen widespread advances in quality control (QC) materials and software tools focused specifically on mass spectrometry-based proteomics, yet the rate of adoption is inconsistent. Despite fundamental importance QC, it typically falls behind learning new techniques, instruments, or software. Considering how important QC a core setting where data generated for non-mass spectrometry experts confidence delivered results paramount, we have created this quick-start guide focusing off-the-shelf relatively easy to use We hope that by providing background different levels their uses, describing design options, highlighting some current software, implementing will be easier than ever. There continues development each these areas (such as software), generation proteomics more capable conveying well minimizing laboratory downtime guiding experimental, technical, analytical troubleshooting from sample results.

Language: Английский

Citations

0