Evidence map›Paper›PMID 30609196›Full record

ReviewChembiochem : a European journal of chemical biology2019

A Review on Quantitative Multiplexed Proteomics.

Nishant Pappireddi, Lance Martin, Martin Wühr

Abstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 1 pooled it
–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

143 citing papers in PubMed, 1 synthesis or guideline pooled it.

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83 more citing papers are in PubMed but not listed here.

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

3 authors.

Nishant PappireddiDepartment of Molecular Biology, Princeton University, Icahn Laboratory, #246, Washington Road, Princeton, NJ, 08544, USA.
Lance MartinDepartment of Molecular Biology, Princeton University, Icahn Laboratory, #246, Washington Road, Princeton, NJ, 08544, USA.
Martin WührDepartment of Molecular Biology, Princeton University, Icahn Laboratory, #246, Washington Road, Princeton, NJ, 08544, USA.ORCID 0000-0002-0244-8947

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007388 · NIGMS · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 1985 to 2022
$27.4M
Development of New Proteomics Technology and its Application to Study Cellular OrganizationR35GM128813 · NIGMS · PRINCETON UNIVERSITY · PI Martin Wühr · 2018 to 2026
$4.0M
NIGMS NIH HHS R35 GM128813NIGMS NIH HHS T32 GM007388
6 · The paper itself

Abstract

Over the last few decades, mass spectrometry-based proteomics has become an increasingly powerful tool that is now able to routinely detect and quantify thousands of proteins. A major advance for global protein quantification was the introduction of isobaric tags, which, in a single experiment, enabled the global quantification of proteins across multiple samples. Herein, these methods are referred to as multiplexed proteomics. The principles, advantages, and drawbacks of various multiplexed proteomics techniques are discussed and compared with alternative approaches. We also discuss how the emerging combination of multiplexing with targeted proteomics might enable the reliable and high-quality quantification of very low abundance proteins across multiple conditions. Lastly, we suggest that fusing multiplexed proteomics with data-independent acquisition approaches might enable the comparison of hundreds of different samples without missing values, while maintaining the superb measurement precision and accuracy obtainable with isobaric tag quantification.

Indexed as

HumansIsotope LabelingProteinsProteomeProteomicsTandem Mass SpectrometryProteinsProteomeanalytical methodsisotopic labelingmass spectrometryproteinsproteomics

Identifiers

PMID30609196
PMCPMC6520187

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.