Evidence map›Paper›PMID 39091841›Full record

ArticlebioRxiv : the preprint server for biology2024

"Comparative Analysis of Glycoproteomic Software Using a Tailored Glycan Database".

Reuben A Hogan, Lauren E Pepi, Nicholas M Riley, Robert J Chalkley

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Reuben A HoganUniversity of California, San Francisco.ORCID 0000-0001-6375-2494
Lauren E PepiBeth Israel Deaconess Medical Center, Harvard Medical School.ORCID 0000-0002-5740-4175
Nicholas M RileyUniversity of Washington.ORCID 0000-0002-1536-2966
Robert J ChalkleyUniversity of California, San Francisco.ORCID 0000-0002-9757-7302

Funding

Proteomic and Genetic Approaches Defining Apolipoprotein E4 Neuropathologic MechanismsRF1AG059751 · NIA · J. DAVID GLADSTONE INSTITUTES · PI KROGAN, NEVAN J, MAHLEY, ROBERT W. · 2019 to 2019
$4.7M
Capturing the Holistic Glycocode through Systems GlycobiologyR00GM147304 · NIGMS · UNIVERSITY OF WASHINGTON · PI Nicholas M Riley · 2024 to 2026
$747k
NIA NIH HHS RF1 AG059751NIGMS NIH HHS R00 GM147304
6 · The paper itself

Abstract

Glycoproteomics is a rapidly developing field, and data analysis has been stimulated by several technological innovations. As a result, there are many software tools from which to choose; and each comes with unique features that can be difficult to compare. This work presents a head-to-head comparison of five modern analytical software: Byonic, Protein Prospector, MSFraggerGlyco, pGlyco3, and GlycoDecipher. To enable a meaningful comparison, parameter variables were minimized. One potential confounding variable is the glycan database that informs glycoproteomic searches. We performed glycomic profiling of the samples and used the output to construct matched glycan databases for each software. Up to 19,000 glycopeptide spectra were identified across three replicates of wild-type SH-SY5Y cells. There was substantial overlap among most software for glycoproteins identified, locations of glycosites, and glycans, although Byonic reported a suspiciously large number of glycoproteins and glycosites of questionable reliability. We show that Protein Prospector identified the most glycopeptide spectrum matches with high agreement to known glycosites in UniProt. Overall, our results indicate that glycoproteomic searches should involve more than one software to generate confidence. It may be useful to consider software with peptide-first approaches and with glycan-first approaches.

Identifiers

PMID39091841
PMCPMC11291120

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.