Evidence map›Paper›PMID 31105465›Full record

ArticleInternational journal of mass spectrometry2019

Top-Down Protein Identification using a Time-of-Flight Mass Spectrometer and Data Independent Acquisition.

Rajeswari Lakshmanan, Joseph A Loo

Abstract read
In one paragraph

Article in International journal of mass spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

2 authors at 1 institution in 1 country.

Rajeswari LakshmananDepartment of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095.
Joseph A LooDepartment of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095.
University of California, Los Angeles · US

Funding

UV Laser for Photodissociation-Mass Spectrometry of Proteins and Protein ComplexesR01GM103479 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, JOSEPH A · 2012 to 2021
$3.2M
NIGMS NIH HHS R01 GM103479
6 · The paper itself

Abstract

Top-down mass spectrometry and direct dissociation of gas phase intact proteins have been demonstrated to be a powerful platform for identifying proteins from complex mixtures and for elucidating post-translational modifications (PTMs). Fragmentation of proteins in the atmospheric pressure/vacuum interface of the electrospray ionization mass spectrometer is an effective dissociation technique that can be utilized for on-line HPLC top-down analysis. We demonstrate the capability to perform intact protein identifications in a single-stage time-of- flight (TOF) mass spectrometer in a data independent (DIA) acquisition fashion by rapidly switching the in-source dissociation (ISD) energy during protein elution from a liquid chromatography (LC) column. The intact protein and product ion masses obtained at low and high ISD energies, respectively, were measured using a TOF mass analyzer. By coupling on-line protein separations to dissociation in the atmospheric pressure/vacuum interface region of the mass spectrometer, we identified proteins in simple complexity mixtures, including subunits from the human 20S proteasome complex, and PTMs such as phosphorylation and N-terminal acetylation events. This proof-of-principle study demonstrates that a data-independent pseudo- MS/MS method could be a relatively in-expensive platform for top-down MS.

Indexed as

data independent acquisitionelectrospray ionizationliquid chromatographyproteasomeprotein sequencingtop-down mass spectrometry

Identifiers

PMID31105465
PMCPMC6519736
OpenAlexW2897357299

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.