Evidence map›Paper›PMID 40766599›Full record

ArticlebioRxiv : the preprint server for biology2025

The $10 proteome: low-cost, deep and quantitative proteome profiling of limited sample amounts using the Orbitrap Astral and timsTOF Ultra 2 mass spectrometers.

Siqi Huang, Chao Wang, Hsien-Jung L Lin, Ryan T Kelly

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Siqi HuangDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602.
Chao WangDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602.
Hsien-Jung L LinDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602.
Ryan T KellyDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602.ORCID 0000-0002-3339-4443

Funding

Mayo Clinic Center for Clinical ProteomicsU01CA271410 · NCI · MAYO CLINIC ROCHESTER · PI Rafael Fonseca, AKHILESH PANDEY · 2022 to 2026
$5.3M
Structure and function of chloride channels and transportersR01GM085232 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI ACCARDI, ALESSIO · 2009 to 2013
$1.7M
Advanced Sample Preparation, Separation and Multiplexed Analysis for In-Depth Proteome Profiling of >1000 Single Cells Per DayR01CA279074 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2023 to 2025
$1.6M
Mass Spectrometry-Based Biochemical Analysis of Single Cells Beyond the Global ProteomeR35GM153179 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI Ryan T Kelly · 2024 to 2026
$1.2M
NCI NIH HHS R01 CA279074NCI NIH HHS U01 CA271410NIGMS NIH HHS R01 GM085232NIGMS NIH HHS R35 GM153179
6 · The paper itself

Abstract

Mass spectrometry (MS)-based proteomics remains technically demanding and prohibitively expensive for many large-scale or routine applications, with per-sample costs of hundreds of dollars or more. To democratize access to proteomics and facilitate its integration into more high-throughput multi-omic studies, we present a robust analytical framework for achieving in-depth, quantitative proteome profiling at a cost of approximately $10 per sample, termed the "$10 proteome." Using the Thermo Fisher Orbitrap Astral and Bruker timsTOF Ultra 2 mass spectrometers, we evaluated performance across sample inputs ranging from 200 pg to 100 ng and active gradient lengths from 5 to 60 minutes. Proteome coverage saturated within the low-nanogram input range, with ~8000 protein groups quantified from as little as 10 ng of input and nearly 6000 protein groups from 200 pg. With already demonstrated low-cost one-pot sample preparation workflows that are appropriate for this sample input range, standardized MS acquisition settings, and high-throughput nanoLC operated at ~10 min per sample, the $10 proteome becomes feasible. This study establishes a practical, scalable, and cost-effective foundation for global proteome profiling, paving the way for routine, large-scale applications in systems biology, clinical research and beyond.

Identifiers

PMID40766599
PMCPMC12324313

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Registered trials

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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.