Evidence map›Paper›PMID 32436704›Full record

ArticleJournal of the American Society for Mass Spectrometry2020

Using 10,000 Fragment Ions to Inform Scoring in Native Top-down Proteomics.

Ashley N Ives, Taojunfeng Su, Kenneth R Durbin, Bryan P Early, Henrique Dos Santos Seckler, Ryan T Fellers, Richard D LeDuc, Luis F Schachner, Steven M Patrie, Neil L Kelleher

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

10 authors.

Ashley N IvesDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.ORCID http://orcid.org/0000-0002-1318-5732
Taojunfeng SuDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.
Kenneth R DurbinDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.
Bryan P EarlyDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.
Henrique Dos Santos SecklerDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.
Ryan T FellersDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.
Richard D LeDucDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.ORCID http://orcid.org/0000-0002-6951-2923
Luis F SchachnerDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.
Steven M PatrieDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.ORCID http://orcid.org/0000-0002-0308-5498
Neil L KelleherDepartments of Chemistry and Molecular Biosciences, the Chemistry of Life Processes Institute, and the Proteomics Center of Excellence, Northwestern University, 2170 Campus Drive, Evanston, Illinois 60208, United States.ORCID http://orcid.org/0000-0002-8815-3372

Funding

Defining native proteoform landscape for amyloid-beta in Alzheimers diseaseRF1AG063903 · NIA · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L, KLEIN, WILLIAM L · 2019 to 2019
$2.9M
Chemistry of Life Processes Predoctoral Training ProgramT32GM105538 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2013 to 2022
$2.7M
An intuitive analysis software solution for protein complex native massspectrometry dataR43GM130262 · NIGMS · PROTEINACEOUS, INC. · PI DURBIN, KENNETH · 2019 to 2019
$150k
NIA NIH HHS RF1 AG063903NIGMS NIH HHS R43 GM130262NIGMS NIH HHS T32 GM105538
6 · The paper itself

Abstract

Protein fragmentation is a critical component of top-down proteomics, enabling gene-specific protein identification and full proteoform characterization. The factors that influence protein fragmentation include precursor charge, structure, and primary sequence, which have been explored extensively for collision-induced dissociation (CID). Recently, noticeable differences in CID-based fragmentation were reported for native versus denatured proteins, motivating the need for scoring metrics that are tailored specifically to native top-down mass spectrometry (nTDMS). To this end, position and intensity were tracked for 10,252 fragment ions produced by higher-energy collisional dissociation (HCD) of 159 native monomers and 70 complexes. We used published structural data to explore the relationship between fragmentation and protein topology and revealed that fragmentation events occur at a large range of relative residue solvent accessibility. Additionally, our analysis found that fragment ions at sites with an N-terminal aspartic acid or a C-terminal proline make up on average 40 and 27%, respectively, of the total matched fragment ion intensity in nTDMS. Percent intensity contributed by each amino acid was determined and converted into weights to (1) update the previously published C-score and (2) construct a native Fragmentation Propensity Score. Both scoring systems showed an improvement in protein identification or characterization in comparison to traditional methods and overall increased confidence in results with fewer matched fragment ions but with high probability nTDMS fragmentation patterns. Given the rise of nTDMS as a tool for structural mass spectrometry, we forward these scoring metrics as new methods to enhance analysis of nTDMS data.

Indexed as

IonsProteomeAnimalsCell LineDatabases, ProteinHumansMass SpectrometryMicePeptide FragmentsProteomicsIonsPeptide FragmentsProteome

Identifiers

PMID32436704
PMCPMC7539637

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.