Evidence map›Paper›PMID 34918453›Full record

ArticleProteomics2022

Assessing interference in isobaric tag-based sample multiplexing using an 18-plex interference standard.

Jose Navarrete-Perea, Xinyue Liu, Ramin Rad, Jeremy P Gygi, Steven P Gygi, Joao A Paulo

Abstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Jose Navarrete-PereaDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Xinyue LiuDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Ramin RadDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Jeremy P GygiDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Steven P GygiDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Joao A PauloDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-4291-413X

Funding

New Sample Multiplexing Technologies to Identify Chemical Probes and Illuminate Ubiquitin BiologyR01GM067945 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GYGI, STEVEN P · 2003 to 2024
$10.5M
Advancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7M
TECHNOLOGY FOR AUTOMATED ANALYSIS OF PROTEOMESK22HG000041 · NHGRI · UNIVERSITY OF WASHINGTON · PI GYGI, STEVEN P · 2000 to 2004
$1.2M
NHGRI NIH HHS K22 HG000041NIGMS NIH HHS GM67945NIGMS NIH HHS R01 GM067945NIGMS NIH HHS R01 GM132129
6 · The paper itself

Abstract

Reporter ion interference remains a limitation of isobaric tag-based sample multiplexing. Advances in instrumentation and data acquisition modes, such as the recently developed real-time database search (RTS), can reduce interference. However, interference persists as does the need to benchmark upstream sample preparation and data acquisition strategies. Here, we present an updated Triple yeast KnockOut (TKO) standard as well as corresponding upgrades to the TKO viewing tool (TVT2.5, http://tko.hms.harvard.edu/). Specifically, we expand the TKO standard to incorporate the TMTpro18-plex reagents (TKO18). We also construct a variant thereof which has been digested only with LysC (TKO18L). We compare proteome coverage and interference levels of TKO18 and TKO18L data that are acquired under different data acquisition modes and analyzed using TVT2.5. Our data illustrate that RTS reduces interference while improving proteome coverage and suggest that digesting with LysC alone only modestly reduces interference, albeit at the expense of proteome depth. Collectively, the two new TKO standards coupled with the updated TVT represent a convenient and versatile platform for assessing and developing methods to reduce interference in isobaric tag-based experiments.

Indexed as

PeptidesProteomicsDatabases, FactualProteomeSaccharomyces cerevisiaePeptidesProteomeEclipseFAIMSIFIRTSSPS-MS3TMTpro18

Identifiers

PMID34918453
PMCPMC9231818

What OpenQuestion holds

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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.