Evidence map›Paper›PMID 31990573›Full record

ArticleJournal of proteome research2020

Parallel Notched Gas-Phase Enrichment for Improved Proteome Identification and Quantification with Fast Spectral Acquisition Rates.

Brian K Erickson, Devin K Schweppe, Qing Yu, Ramin Rad, Wilhem Haas, Graeme C McAlister, Steven P Gygi

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Brian K EricksonDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.ORCID 0000-0002-1150-5042
Devin K SchweppeDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.ORCID 0000-0002-3241-6276
Qing YuDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.ORCID 0000-0003-0468-5353
Ramin RadDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.
Wilhem HaasDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.
Graeme C McAlisterDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.
Steven P GygiDepartment of Cell Biology, Harvard Medical School, Harvard University, Boston, Massachusetts 02115, United States.ORCID 0000-0001-7626-0034
Harvard University · US

Funding

New Sample Multiplexing Technologies to Identify Chemical Probes and Illuminate Ubiquitin BiologyR01GM067945 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GYGI, STEVEN P · 2003 to 2024
$10.5M
NIGMS NIH HHS R01 GM067945
6 · The paper itself

Abstract

Gas-phase fractionation enables better quantitative accuracy, improves signal-to-noise ratios, and increases sensitivity in proteomic analyses. However, traditional gas-phase enrichment, which relies upon a large continuous bin, results in suboptimal enrichment, as most chromatographic separations are not 100% orthogonal relative to the first MS dimension (MS

Indexed as

ProteomeProteomicsChemical FractionationIonsPeptidesIonsPeptidesProteomedynamic rangegas-phase fractionationinjection waveformlabel-free quantificationmultinotchorbitrapreductive dimethylation

Identifiers

PMID31990573
PMCPMC7334078
OpenAlexW3003299424

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.