Evidence map›Paper›PMID 38853838›Full record

ArticlebioRxiv : the preprint server for biology2024

A workflow for targeted proteomics assay development using a versatile linear ion trap.

Ariana E Shannon, Rachael N Teodorescu, Nojoon Soon, Lilian R Heil, Cristina C Jacob, Philip M Remes, Mark P Rubinstein, Brian C Searle

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

8 authors.

Rachael N Teodorescu
Nojoon Soon
Lilian R Heil
Cristina C Jacob
Philip M Remes
Mark P Rubinstein

Funding

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 R21 CA267394NIGMS NIH HHS R35 GM150723
6 · The paper itself

Abstract

Advances in proteomics and mass spectrometry have enabled the study of limited cell populations, such as single-cell proteomics, where high-mass accuracy instruments are typically required. While triple quadrupoles offer fast and sensitive nominal resolution measurements, these instruments are effectively limited to targeted proteomics. Linear ion traps (LITs) offer a versatile, cost-effective alternative capable of both targeted and global proteomics. We demonstrate a workflow using a newly released, hybrid quadrupole-LIT instrument for developing targeted proteomics assays from global data-independent acquisition (DIA) measurements without needing high-mass accuracy. Gas-phase fraction-based DIA enables rapid target library generation in the same background chemical matrix as each quantitative injection. Using a new software tool embedded within EncyclopeDIA for scheduling parallel reaction monitoring assays, we show consistent quantification across three orders of magnitude of input material. Using this approach, we demonstrate measuring peptide quantitative linearity down to 25x dilution in a background of only a 1 ng proteome without requiring stable isotope labeled standards. At 1 ng total protein on column, we found clear consistency between immune cell populations measured using flow cytometry and immune markers measured using LIT-based proteomics. We believe hybrid quadrupole-LIT instruments represent an economic solution to democratizing mass spectrometry in a wide variety of laboratory settings.

Identifiers

PMID38853838
PMCPMC11160733

What OpenQuestion holds

Textmetadata
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.