Evidence map›Paper›PMID 28152595›Full record

ArticleJournal of proteome research2017

Advancing Top-down Analysis of the Human Proteome Using a Benchtop Quadrupole-Orbitrap Mass Spectrometer.

Luca Fornelli, Kenneth R Durbin, Ryan T Fellers, Bryan P Early, Joseph B Greer, Richard D LeDuc, Philip D Compton, Neil L Kelleher

Abstract read
In one paragraph

Article in Journal of proteome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Online μSECAnalytical chemistry · 2021
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  19. Biological Applications for LC-MS-Based Proteomics.Advances in experimental medicine and biology · 2021
    Article
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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

8 authors.

Luca FornelliDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.
Kenneth R DurbinDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.
Ryan T FellersDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.
Bryan P EarlyDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.
Joseph B GreerDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.
Richard D LeDucDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.
Philip D ComptonDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.
Neil L KelleherDepartments of Chemistry and Molecular Biosciences, Northwestern University , 2170 Campus Drive, Evanston, Illinois 60208, United States.ORCID 0000-0002-8815-3372

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
TR&D 7: Cell Specific ProteomicsP41GM108569 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2015 to 2024
$13.6M
Eukaryotic Post-Translational ModificationsR01GM067193 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI KELLEHER, NEIL L · 2003 to 2015
$4.0M
NCI NIH HHS P30 CA060553NIGMS NIH HHS P41 GM108569NIGMS NIH HHS R01 GM067193
6 · The paper itself

Abstract

Over the past decade, developments in high resolution mass spectrometry have enabled the high throughput analysis of intact proteins from complex proteomes, leading to the identification of thousands of proteoforms. Several previous reports on top-down proteomics (TDP) relied on hybrid ion trap-Fourier transform mass spectrometers combined with data-dependent acquisition strategies. To further reduce TDP to practice, we use a quadrupole-Orbitrap instrument coupled with software for proteoform-dependent data acquisition to identify and characterize nearly 2000 proteoforms at a 1% false discovery rate from human fibroblasts. By combining a 3 m/z isolation window with short transients to improve specificity and signal-to-noise for proteoforms >30 kDa, we demonstrate improving proteome coverage by capturing 439 proteoforms in the 30-60 kDa range. Three different data acquisition strategies were compared and resulted in the identification of many proteoforms not observed in replicate data-dependent experiments. Notably, the data set is reported with updated metrics and tools including a new viewer and assignment of permanent proteoform record identifiers for inclusion of highly characterized proteoforms (i.e., those with C-scores >40) in a repository curated by the Consortium for Top-Down Proteomics.

Indexed as

FibroblastsHumansMass SpectrometryProteomeProteomicsSoftwareProteomeAUTOPILOTdata-dependent acquisitionfalse-discovery rategas-phase fractionationmass spectrometrymedium/highOrbitrapproteoformquadrupoletop-down proteomics

Identifiers

PMID28152595
PMCPMC5395285

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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.