Evidence map›Paper›PMID 36857466›Full record

ArticleJournal of proteome research2023

Software-Assisted Data Processing Workflow for Intact Glycoprotein Mass Spectrometry.

Alan B Moran, Elena Domínguez-Vega, Manfred Wuhrer, Guinevere S M Lageveen-Kammeijer

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Alan B MoranCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0003-4150-3942
Elena Domínguez-VegaCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-6394-0783
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-0814-4995
Guinevere S M Lageveen-KammeijerCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0001-7670-1151
Leiden University Medical Center · NLUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intact protein analysis by mass spectrometry is important for several applications such as assessing post-translational modifications and biotransformation. In particular, intact protein analysis allows the detection of proteoforms that are commonly missed by other approaches such as proteolytic digestion followed by bottom-up analysis. Two quantification methods are mainly used for intact protein data quantification, namely the extracted ion and deconvolution approaches. However, a consensus with regard to a single best practice for intact protein data processing is lacking. Furthermore, many data processing tools are not fit-for-purpose and, as a result, the analysis of intact proteins is laborious and lacks the throughput required to be implemented for the analysis of clinical cohorts. Therefore, in this study, we investigated the application of a software-assisted data analysis and processing workflow in order to streamline intact protein integration, annotation, and quantification via deconvolution. In addition, the assessment of orthogonal data sets generated via middle-up and bottom-up analysis enabled the cross-validation of cleavage proteoform assignments present in seminal prostate-specific antigen (PSA). Furthermore, deconvolution quantification of PSA from patients' urine revealed results that were comparable with manually performed quantification based on extracted ion electropherograms. Overall, the presented workflow allows fast and efficient processing of intact protein data. The raw data is available on MassIVE using the identifier MSV000086699.

Indexed as

Prostate-Specific AntigenSoftwareGlycoproteinsHumansMaleMass SpectrometryProtein Processing, Post-TranslationalWorkflowGlycoproteinsProstate-Specific Antigendata processingdeconvolutionintact proteinmass spectrometryprostate-specific antigenproteoforms

Identifiers

PMID36857466
PMCPMC10088042
OpenAlexW4322726564

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.