Evidence map›Paper›PMID 34813325›Full record

ArticleJournal of the American Society for Mass Spectrometry2022

Evaluation of Differential Peptide Loading on Tandem Mass Tag-Based Proteomic and Phosphoproteomic Data Quality.

James A Sanford, Yang Wang, Joshua R Hansen, Marina A Gritsenko, Karl K Weitz, Tyler J Sagendorf, Cristina E Tognon, Vladislav A Petyuk, Wei-Jun Qian, Tao Liu and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

13 authors at 2 institutions in 1 country.

James A SanfordBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Yang WangBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Joshua R HansenBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Marina A GritsenkoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Karl K WeitzBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Tyler J SagendorfBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Cristina E TognonKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, United States.
Vladislav A PetyukBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID https://orcid.org/0000-0003-4076-151X
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID https://orcid.org/0000-0002-5393-2827
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID https://orcid.org/0000-0001-9529-6550
Brian J DrukerKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, United States.
Karin D RodlandBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID https://orcid.org/0000-0001-7070-6541
Paul D PiehowskiEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID https://orcid.org/0000-0001-5108-2227
Pacific Northwest National Laboratory · USOregon Health & Science University · US

Funding

Proteogenomic Translational Research Center for Clinical ProteomicU01CA214116 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI DRUKER, BRIAN J, RODLAND, KARIN D · 2017 to 2021
$6.8M
PNNL Proteome Characterization CenterU24CA210955 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, TAO, SMITH, RICHARD D · 2016 to 2020
$5.3M
Pathways and Regulators Driving Progressive Islet Cell Dysfunction in Type 1 DiabetesR01DK122160 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ROHIT N. KULKARNI, CLAYTON E MATHEWS · 2019 to 2026
$3.7M
NCI NIH HHS U01 CA214116NCI NIH HHS U24 CA210955NIDDK NIH HHS R01 DK122160
6 · The paper itself

Abstract

Global and phosphoproteome profiling has demonstrated great utility for the analysis of clinical specimens. One barrier to the broad clinical application of proteomic profiling is the large amount of biological material required, particularly for phosphoproteomics─currently on the order of 25 mg wet tissue weight. For hematopoietic cancers such as acute myeloid leukemia (AML), the sample requirement is ≥10 million peripheral blood mononuclear cells (PBMCs). Across large study cohorts, this requirement will exceed what is obtainable for many individual patients/time points. For this reason, we were interested in the impact of differential peptide loading across multiplex channels on proteomic data quality. To achieve this, we tested a range of channel loading amounts (approximately the material obtainable from 5E5, 1E6, 2.5E6, 5E6, and 1E7 AML patient cells) to assess proteome coverage, quantification precision, and peptide/phosphopeptide detection in experiments utilizing isobaric tandem mass tag (TMT) labeling. As expected, fewer missing values were observed in TMT channels with higher peptide loading amounts compared to lower loadings. Moreover, channels with a lower loading have greater quantitative variability than channels with higher loadings. A statistical analysis showed that decreased loading amounts result in an increase in the type I error rate. We then examined the impact of differential loading on the detection of known differences between distinct AML cell lines. Similar patterns of increased data missingness and higher quantitative variability were observed as loading was decreased resulting in fewer statistical differences; however, we found good agreement in features identified as differential, demonstrating the value of this approach.

Indexed as

PhosphopeptidesCells, CulturedChromatography, AffinityData AccuracyHumansIsotope LabelingLeukocytes, MononuclearProteomicsTandem Mass SpectrometryPhosphopeptidesacute myeloid leukemiaclinical proteomicsdifferential loadingisobaric labelingphosphoproteomicsTMT

Identifiers

PMID34813325
PMCPMC8739833
OpenAlexW3118273697

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.