Evidence map›Paper›PMID 35168791›Full record

ArticleMethods in enzymology2022

Multiplexed quantitative neuropeptidomics via DiLeu isobaric tagging.

Christopher S Sauer, Lingjun Li

Abstract read
In one paragraph

Article in Methods in enzymology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

2 authors.

Christopher S SauerDepartment of Chemistry, University of Wisconsin, Madison, WI, United States.
Lingjun LiDepartment of Chemistry, University of Wisconsin, Madison, WI, United States; School of Pharmacy, University of Wisconsin, Madison, WI, United States. Electronic address: lingjun.li@wisc.edu.

Funding

TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
Development of Multiplex Multiomic Mass Spectrometry Methods for Probing the Response to Copper Toxicity in the Blue Crab, Callinectes sapidusF31ES031859 · NIEHS · UNIVERSITY OF WISCONSIN-MADISON · PI SAUER, CHRISTOPHER · 2020 to 2021
$53k
NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIEHS NIH HHS F31 ES031859NIGMS NIH HHS P41 GM108538
6 · The paper itself

Abstract

Neuropeptides are key signaling molecules in many pathways and can serve as potential biomarkers or therapeutics. Mass spectrometry has emerged as a powerful tool for studying neuropeptides with high sensitivity and accuracy. Isobaric tagging can further enhance this method by improving throughput and reducing sampling needs. In this chapter, we discuss the benefits and limitations of using isobaric tags to analyze neuropeptides. Methods for optimizing the data acquisition are also presented to enable a greater number of neuropeptides to be identified and quantified when using isobaric tags, specifically N,N-dimethyl leucine (DiLeu).

Indexed as

NeuropeptidesTandem Mass SpectrometryLeucineProteomicsLeucineNeuropeptidesN,N-dimethyl leucineData-dependent acquisitionDiLeuIsobaric labelingMass spectrometryNeuropeptidesOptimization

Identifiers

PMID35168791
PMCPMC9055872

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Registered trials

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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.