Reproducible protein quantitation of 270 human proteins at increased depth using nanoparticle-based fractionation and multiple reaction monitoring mass spectrometry with stable isotope-labelled internal standards DOI Creative Commons
Claudia Gaither, Robert Popp, Aaron S. Gajadhar

и другие.

The Analyst, Год журнала: 2024, Номер 150(2), С. 353 - 361

Опубликована: Дек. 13, 2024

Absolute LC/MRM-MS based quantitation targeting 270 proteins yielded 44% more quantifiable when combined with automated nanoparticle (NP)-based fractionation and digestion approach as compared to neat trypsin digestion.

Язык: Английский

The One Hour Human Proteome DOI Creative Commons
Lia R. Serrano, Trenton M. Peters-Clarke,

Tabiwang N. Arrey

и другие.

Molecular & Cellular Proteomics, Год журнала: 2024, Номер 23(5), С. 100760 - 100760

Опубликована: Апрель 3, 2024

We describe deep analysis of the human proteome in less than one hour. achieve this expedited characterization by leveraging state-of-the-art sample preparation, chromatographic separations, data tools, and using new Orbitrap Astral mass spectrometer equipped with a quadrupole filter, high-field analyzer, an asymmetric track lossless (Astral) analyzer. The system offers high MS/MS acquisition speed 200 Hz detects hundreds peptide sequences per second within independent- or data-dependent modes operation. fast-switching capabilities complement sensitivity fast ion scanning analyzer to enable narrow-bin data-independent (DIA) methods. Over 30-minute active method consuming total time 56 minutes, Q-Orbitrap-Astral hybrid MS collects average 4,319 MS1 scans 438,062 run, producing 235,916 (1% false discovery rate (FDR)). On average, each achieved detection 10,411 protein groups FDR). conclude, these results alongside other recent reports, that one-hour is reach.

Язык: Английский

Процитировано

22

Plasma proteome variation and its genetic determinants in children and adolescents DOI Creative Commons
Lili Niu, Sara Stinson, Louise Aas Holm

и другие.

Nature Genetics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Abstract Our current understanding of the determinants plasma proteome variation during pediatric development remains incomplete. Here, we show that genetic variants, age, sex and body mass index significantly influence this variation. Using a streamlined highly quantitative spectrometry-based proteomics workflow, analyzed from 2,147 children adolescents, identifying 1,216 proteins after quality control. Notably, levels 70% these were associated with at least one aforementioned factors, protein also being predictive. Quantitative trait loci (QTLs) regulated one-third proteins; between few percent up to 30-fold. Together excellent replication in an additional 1,000 558 adults, reveals substantial effects on levels, persisting childhood into adulthood. Through Mendelian randomization colocalization analyses, identified 41 causal genes for 33 cardiometabolic traits, emphasizing value QTLs drug target identification disease understanding.

Язык: Английский

Процитировано

2

Promises and Challenges of populational Proteomics in Health and Disease DOI Creative Commons
Benjamin B. Sun, Karsten Suhre, Bradford W. Gibson

и другие.

Molecular & Cellular Proteomics, Год журнала: 2024, Номер 23(7), С. 100786 - 100786

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

12

A genome-wide association study of mass spectrometry proteomics using the Seer Proteograph platform DOI
Karsten Suhre, Qingwen Chen, Anna Halama

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июнь 1, 2024

Genome-wide association studies (GWAS) with proteomics are essential tools for drug discovery. To date, most have used affinity platforms, which limited discovery to protein panels covered by the available binders. Furthermore, it is not clear extent epitope changing variants interfere detection of quantitative trait loci (pQTLs). Mass spectrometry-based (MS) can overcome some these limitations. Here we report a GWAS using MS-based Seer Proteograph

Язык: Английский

Процитировано

10

Proteomic Profiling Towards a Better Understanding of Genetic Based Muscular Diseases: The Current Picture and a Look to the Future DOI Creative Commons
Marc Pauper, Andreas Hentschel, Malte Tiburcy

и другие.

Biomolecules, Год журнала: 2025, Номер 15(1), С. 130 - 130

Опубликована: Янв. 15, 2025

Proteomics accelerates diagnosis and research of muscular diseases by enabling the robust analysis proteins relevant for manifestation neuromuscular in following aspects: (i) evaluation effect genetic variants on corresponding protein, (ii) prediction underlying defect based proteomic signature muscle biopsies, (iii) pathophysiologies different entities diseases, key definition new intervention concepts, (iv) patient stratification according to biochemical fingerprints as well (v) monitoring success therapeutic interventions. This review presents—also through exemplary case studies—the various advantages mass proteomics investigation discusses technical limitations, provides an outlook possible future application concepts. Hence, is excellent large-scale analytical tool diagnostic workup (hereditary) warrants systematic profiling pathophysiological processes. The steady development may allow overcome existing limitations including a quenched dynamic range quantification protein isoforms. Future directions include targeted settings using not only biopsies but also liquid address need minimally invasive procedures.

Язык: Английский

Процитировано

1

Secretome analysis using Affinity Proteomics and Immunoassays: a focus on Tumor Biology DOI Creative Commons
Vanessa M. Beutgen, V. A. Shinkevich,

Johanna Pörschke

и другие.

Molecular & Cellular Proteomics, Год журнала: 2024, Номер 23(9), С. 100830 - 100830

Опубликована: Авг. 14, 2024

The study of the cellular secretome using proteomic techniques continues to capture attention research community across a broad range topics in biomedical research. Due their untargeted nature, independence from model system used, historically superior depth analysis, as well comparative affordability, mass spectrometry-based approaches traditionally dominate such analyses. More recently, however, affinity-based assays have massively gained analytical depth, which together with high sensitivity, dynamic coverage throughput capabilities render them exquisitely suited analysis. In this review, we revisit challenges implied by secretomics and provide an overview platforms currently available for analyses, tumor example basic translational

Язык: Английский

Процитировано

6

Engineered nanoparticles for clinical assays DOI
Jiyong Cheong, Ala Jo, Jang-Won Lee

и другие.

Nature Reviews Bioengineering, Год журнала: 2024, Номер 2(10), С. 887 - 905

Опубликована: Июль 8, 2024

Язык: Английский

Процитировано

5

The Circulating Proteome─Technological Developments, Current Challenges, and Future Trends DOI Creative Commons
Philipp E. Geyer, Daniel Hornburg, Maria Pernemalm

и другие.

Journal of Proteome Research, Год журнала: 2024, Номер unknown

Опубликована: Окт. 31, 2024

Recent improvements in proteomics technologies have fundamentally altered our capacities to characterize human biology. There is an ever-growing interest using these novel methods for studying the circulating proteome, as blood offers accessible window into health. However, every methodological innovation and analytical progress calls reassessing existing approaches routines ensure that new data will add value greater biomedical research community avoid previous errors. As representatives of HUPO's Human Plasma Proteome Project (HPPP), we present 2024 survey current community, including latest build PeptideAtlas now comprises 4608 proteins detected 113 sets. We then discuss updates established methods, emerging technologies, investigations proteoforms, protein networks, extracellualr vesicles, antibodies microsamples. Finally, provide a prospective view tools studies proteins.

Язык: Английский

Процитировано

4

Regulation of protein abundance in normal human tissues DOI
Huaying Fang, Lihua Jiang,

Felipe da Veiga Leprevost

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Abstract We report a systematic quantification of 10,841 unique proteins from over 700 GTEx samples, representing five human tissues. Sex, age and genetic factors are associated with variation in protein abundance. In total, 1981 cis-protein quantitative trait loci (cis-pQTL) identified, which majority targets have not been assayed the recent plasma-based proteogenomic studies. Integrating transcriptomic information matching tissues delineates concordant as well discordant expression patterns at RNA levels. Juxtaposition data different indicates both shared tissue-specific architecture that underlie Complementing genomic annotation, RNA-based eQTL studies, establishment characterization, tissue-pQTLs shed light on biology underlying genotype-phenotype association complex traits diseases.

Язык: Английский

Процитировано

0

Uncovering dark mass in population proteomics: Pan-analysis of single amino acid polymorphism relevant to cognition and aging DOI Creative Commons
Xiaojing Gao,

Yuanyuan Yin,

Yiqian Chen

и другие.

Cell Genomics, Год журнала: 2025, Номер unknown, С. 100763 - 100763

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0