Evidence map›Paper›PMID 35723178›Full record

ArticleProteomics2022

29-Plex tandem mass tag mass spectrometry enabling accurate quantification by interference correction.

Huan Sun, Suresh Poudel, David Vanderwall, Dong Geun Lee, Yuxin Li, Junmin Peng

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

6 authors at 1 institution in 1 country.

Huan SunDepartments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Suresh PoudelCenter for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
David VanderwallDepartments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Dong Geun LeeDepartments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Yuxin LiCenter for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Junmin PengDepartments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0003-0472-7648
St. Jude Children's Research Hospital · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Project 4 (Genetic modifiers for APOE-associated Alzheimer's disease pathogenesis)U19AG069701 · NIA · MAYO CLINIC JACKSONVILLE · PI DAVID M. HOLTZMAN · 2021 to 2026
$42.0M
Utilization of proteomics and lipidomics to identify modifiers of LBDU54NS110435 · NINDS · MAYO CLINIC JACKSONVILLE · PI DICKSON, DENNIS WILLIAM, MCLEAN, PAMELA J · 2019 to 2023
$14.5M
Systems Approaches to Novel Molecular Mechanism in Alzheimer's DiseaseRF1AG064909 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI PENG, JUNMIN, YU, GANG · 2019 to 2024
$6.4M
Dissecting neuron-microglia-astrocyte interaction in AD pathogenesisRF1AG068581 · NIA · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI PENG, JUNMIN, ROSSOLL, WILFRIED · 2020 to 2023
$5.4M
Multi-level Integrative Proteomics to Alzheimer's Disease PathwaysR01AG053987 · NIA · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI PENG, JUNMIN · 2016 to 2020
$2.2M
Dissecting neuron-microglia-astrocyte interaction in AD pathogenesisR01AG068581 · NIA · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI PENG, JUNMIN, ROSSOLL, WILFRIED · 2024 to 2024
$1.2M
NCI NIH HHS P30 CA021765NIA NIH HHS R01 AG053987NIA NIH HHS R01 AG068581NIA NIH HHS RF1 AG064909NIA NIH HHS RF1 AG068581NIA NIH HHS U19 AG069701NIH HHS P30CA021765NINDS NIH HHS U54 NS110435
6 · The paper itself

Abstract

Tandem mass tag (TMT) mass spectrometry is a mainstream isobaric chemical labeling strategy for profiling proteomes. Here we present a 29-plex TMT method to combine the 11-plex and 18-plex labeling strategies. The 29-plex method was examined with a pooled sample composed of 1×, 3×, and 10× Escherichia coli peptides with 100× human background peptides, which generated two E. coli datasets (TMT11 and TMT18), displaying the distorted ratios of 1.0:1.7:4.2 and 1.0:1.8:4.9, respectively. This ratio compression from the expected 1:3:10 ratios was caused by co-isolated TMT-labeled ions (i.e., noise). Interestingly, the mixture of two TMT sets produced MS/MS spectra with unique features for the noise detection: (i) in TMT11-labeled spectra, TMT18-specific reporter ions (e.g., 135N) were shown as the noise; (ii) in TMT18-labeled spectra, the TMT11/TMT18-shared reporter ions (e.g., 131C) typically exhibited higher intensities than TMT18-specific reporter ions, due to contaminated TMT11-labeled ions in these shared channels. We further estimated the noise levels contributed by both TMT11- and TMT18-labeled peptides, and corrected reporter ion intensities in every spectrum. Finally, the anticipated 1:3:10 ratios were largely restored. This strategy was also validated using another 29-plex sample with 1:5 ratios. Thus the 29-plex method expands the TMT throughput and enhances the quantitative accuracy.

Indexed as

ProteomeTandem Mass SpectrometryEscherichia coliHumansIonsPeptidesProteomicsIonsPeptidesProteomedata processinginterferenceliquid chromatographymass spectrometryproteomeproteomicsratio compressiontandem mass tag

Identifiers

PMID35723178
PMCPMC9588555
OpenAlexW4283168258

What OpenQuestion holds

Textmetadata
LicenceTDM
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.