Evidence map›Paper›PMID 39070662›Full record

ArticleResearch square2024

Rapid assay development for low input targeted proteomics using a versatile linear ion trap.

Brian Searle, Ariana Shannon, Rachael Teodorescu, No-Joon Song, Lilian Heil, Cristina Jacob, Philip Remes, Zihai Li, Mark Rubinstein

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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

5 · Who and what money

Authors and funding

9 authors.

Brian SearleOhio State University.ORCID 0000-0001-8760-6731
Ariana ShannonOhio State University.ORCID 0000-0002-5563-8824
Rachael TeodorescuOhio State University.
No-Joon SongThe Ohio State University.
Lilian HeilThermo Fisher Scientific.
Cristina JacobThermo Fisher Scientific.
Philip RemesThermo Fisher Scientific.
Zihai LiThe Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute.ORCID 0000-0003-4603-927X
Mark RubinsteinThe Ohio State University.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Investigating the functional impact of genetic variants in the human proteomeR35GM150723 · NIGMS · OHIO STATE UNIVERSITY · PI Brian Chih-Seng Searle · 2023 to 2026
$1.6M
Using proteogenomics to assess the functional impact of alternative splicing events in glioblastomaR21CA267394 · NCI · SWEDISH MEDICAL CENTER, FIRST HILL · PI COBBS, CHARLES S, SEARLE, BRIAN CHIH-SENG · 2023 to 2024
$426k
NCI NIH HHS P30 CA016058NCI NIH HHS R21 CA267394NIGMS NIH HHS R35 GM150723
6 · The paper itself

Abstract

Advances in proteomics and mass spectrometry enable the study of limited cell populations, where high-mass accuracy instruments are typically required. While triple quadrupoles offer fast and sensitive low-mass accuracy measurements, these instruments are effectively restricted to targeted proteomics. Linear ion traps (LITs) offer a versatile, cost-effective alternative capable of both targeted and global proteomics. Here, we describe a workflow using a new hybrid quadrupole-LIT instrument that rapidly develops targeted proteomics assays from global data-independent acquisition (DIA) measurements without needing high-mass accuracy. Using an automated software approach for scheduling parallel reaction monitoring assays (PRM), we show consistent quantification across three orders of magnitude in a matched-matrix background. We demonstrate measuring low-level proteins such as transcription factors and cytokines with quantitative linearity below two orders of magnitude in a 1 ng background proteome without requiring stable isotope-labeled standards. From a 1 ng sample, we found clear consistency between proteins in subsets of CD4

Identifiers

PMID39070662
PMCPMC11275998

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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.