Evidence map›Paper›PMID 38549012›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Label-Free Quantitation of Endogenous Peptides.

Md Shadman Ridwan Abid, Haowen Qiu, James W Checco

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Md Shadman Ridwan Abid *Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
Haowen Qiu *Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA.
James W CheccoDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, USA. checco@unl.edu.

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI GUO, JIANTAO · 2016 to 2025
$20.8M
Chemical approaches to interrogate neuropeptide and peptide hormone signaling in diseaseR35GM142784 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI James William Checco · 2021 to 2026
$2.5M
NIGMS NIH HHS P20 GM113126NIGMS NIH HHS R35 GM142784
6 · The paper itself

Abstract

Liquid chromatography-mass spectrometry (LC-MS)-based peptidomics methods allow for the detection and identification of many peptides in a complex biological mixture in an untargeted manner. Quantitative peptidomics approaches allow for comparisons of peptide abundance between different samples, allowing one to draw conclusions about peptide differences as a function of experimental treatment or physiology. While stable isotope labeling is a powerful approach for quantitative proteomics and peptidomics, advances in mass spectrometry instrumentation and analysis tools have allowed label-free methods to gain popularity in recent years. In a general label-free quantitative peptidomics experiment, peak intensity information for each peptide is compared across multiple LC-MS runs. Here, we outline a general approach for label-free quantitative peptidomics experiments, including steps for sample preparation, LC-MS data acquisition, data processing, and statistical analysis. Special attention is paid to address run-to-run variability, which can lead to several major problems in label-free experiments. Overall, our method provides researchers with a framework for the development of their own quantitative peptidomics workflows applicable to quantitation of peptides from a wide variety of different biological sources.

Indexed as

Liquid Chromatography-Mass SpectrometryPeptidesMass SpectrometryPeptidesLabel-freeLC-MSMass spectrometryMissing valuesPeptidesPeptidomicsPooled QC samplesRun-to-run variability

Identifiers

PMID38549012
PMCPMC11027169

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.