Evidence map›Paper›PMID 39163279›Full record

ArticleJournal of proteome research2024

An Inflection Point in High-Throughput Proteomics with Orbitrap Astral: Analysis of Biofluids, Cells, and Tissues.

Nathan G Hendricks, Santosh D Bhosale, Angel J Keoseyan, Josselin Ortiz, Aleksandr Stotland, Saeed Seyedmohammad, Chi D L Nguyen, Jonathan T Bui, Annie Moradian, Susan M Mockus and 1 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  16. Thin-diaPASEF: diaPASEF for maximizing proteome coverage in single-shot proteomics.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Nathan G HendricksPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Santosh D BhosalePrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Angel J KeoseyanPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Josselin OrtizPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Aleksandr StotlandSmidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0003-4794-1097
Saeed SeyedmohammadSmidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.
Chi D L NguyenPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Jonathan T BuiPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Annie MoradianPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.ORCID 0000-0002-0407-2031
Susan M MockusPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.
Jennifer E Van EykPrecision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90211, United States.ORCID 0000-0001-9050-148X

Funding

Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
Exosome Therapeutics to Dissect HFpEF MechanismsR01HL155346 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI MARBAN, EDUARDO, VAN EYK, JENNIFER E · 2021 to 2024
$3.3M
Design and Validation of Easy-to-Adopt Mass Spectrometry Assays of Importance to ObesityU01DK124019 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI SOBHANI, KIMIA, VAN EYK, JENNIFER E · 2019 to 2022
$3.1M
NHLBI NIH HHS R01 HL111362NHLBI NIH HHS R01 HL155346NIDDK NIH HHS U01 DK124019
6 · The paper itself

Abstract

This Technical Note presents a comprehensive proteomics workflow for the new combination of Orbitrap and Astral mass analyzers across biofluids, cells, and tissues. Central to our workflow is the integration of Adaptive Focused Acoustics (AFA) technology for cells and tissue lysis to ensure robust and reproducible sample preparation in a high-throughput manner. Furthermore, we automated the detergent-compatible single-pot, solid-phase-enhanced sample Preparation (SP3) method for protein digestion. The synergy of these advanced methodologies facilitates a robust and high-throughput approach for cell and tissue analysis, an important consideration in translational research. This work disseminates our platform workflow, analyzes the effectiveness, demonstrates the reproducibility of the results, and highlights the potential of these technologies in biomarker discovery and disease pathology. For cells and tissues (heart, liver, lung, and intestine) proteomics analysis by data-independent acquisition mode, identifications exceeding 10,000 proteins can be achieved with a 24 min active gradient. In 200 ng injections of HeLa digest across multiple gradients, an average of more than 80% of proteins have a CV less than 20%, and a 45 min run covers ∼90% of the expressed proteome. This complete workflow allows for large swaths of the proteome to be identified and is compatible with diverse sample types.

Indexed as

ProteomicsBiomarkersBody FluidsHeLa CellsHigh-Throughput Screening AssaysHumansLiverLungProteomeReproducibility of ResultsWorkflowBiomarkersProteomeautomationbiomarkerhigh-throughputmass spectrometrymissing proteinsOrbitrap AstralPBMCsplasma proteomicstissue proteomics

Identifiers

PMID39163279
PMCPMC11385373

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.