Evidence map›Paper›PMID 30481031›Full record

ArticleJournal of proteome research2019

TKO6: A Peptide Standard To Assess Interference for Unit-Resolved Isobaric Labeling Platforms.

Joao A Paulo, Jose Navarrete-Perea, Sanjukta Guha Thakurta, Steven P Gygi

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Joao A PauloDepartment of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States.ORCID 0000-0002-4291-413X
Jose Navarrete-PereaDepartment of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States.
Sanjukta Guha ThakurtaDepartment of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States.
Steven P GygiDepartment of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States.
Harvard University · US

Funding

Advancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7M
Resolving the role of nicotine-mediated phosphorylation on pancreatic fibrosisK01DK098285 · NIDDK · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2013 to 2017
$638k
NIDDK NIH HHS K01 DK098285NIGMS NIH HHS R01 GM132129
6 · The paper itself

Abstract

Protein abundance profiling using isobaric labeling is a well-established quantitative mass spectrometry technique. However, ratio distortion resulting from coisolated and cofragmented ions, commonly referred to as interference, remains a drawback of this strategy. Tribrid mass spectrometers, such as the Orbitrap Fusion and the Orbitrap Fusion Lumos with a triple mass analyzer configuration, facilitate methods (namely, SPS-MS3) that can help alleviate interference. However, few standards are available to measure interference and thereby aid in method development. Here we introduce the TKO6 standard that assesses ion interference and is designed specifically for data acquired at low (unit) mass resolution. We use TKO6 to compare interference in MS2- versus MS3-based quantitation methods, data acquisition methods of different lengths, and ion-trap-based tandem mass tag reporter ion analysis (IT-MS3) with conventional Orbitrap-based analysis (OT-MS3). We show that the TKO6 standard is a valuable tool for assessing quantification accuracy in isobaric-tag-based analyses.

Indexed as

IonsMass SpectrometryPeptidesProteomeProteomicsStaining and LabelingIonsPeptidesProteomeinterferenceiTRAQSPS-MS3TKOTMT

Identifiers

PMID30481031
PMCPMC6465125
OpenAlexW2903255861

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.