Evidence map›Paper›PMID 20073486›Full record

ArticleAnalytical chemistry2010

Size-sorting combined with improved nanocapillary liquid chromatography-mass spectrometry for identification of intact proteins up to 80 kDa.

Adaikkalam Vellaichamy, John C Tran, Adam D Catherman, Ji Eun Lee, John F Kellie, Steve M M Sweet, Leonid Zamdborg, Paul M Thomas, Dorothy R Ahlf, Kenneth R Durbin and 2 more

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
  2. Multidimensional Separations in Top-Down Proteomics.Analytical science advances · 2023
    Article
  3. Article
  4. Review
  5. RPLC-RPLC-MS/MS for Proteoform Identification.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Top-Down Proteomics: Ready for Prime Time?Analytical chemistry · 2018
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

12 authors at 1 institution in 1 country.

Adaikkalam VellaichamyDepartment of Chemistry, 600 South Mathews Avenue, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
John C Tran
Adam D Catherman
Ji Eun Lee
John F Kellie
Steve M M Sweet
Leonid Zamdborg
Paul M Thomas
Dorothy R Ahlf
Kenneth R Durbin
Gary A Valaskovic
Neil L Kelleher
University of Illinois Urbana-Champaign · US

Funding

Eukaryotic Post-Translational ModificationsR01GM067193 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI KELLEHER, NEIL L · 2003 to 2015
$4.0M
NIGMS NIH HHS GM 067193-07NIGMS NIH HHS R01 GM067193
6 · The paper itself

Abstract

Despite the availability of ultra-high-resolution mass spectrometers, methods for separation and detection of intact proteins for proteome-scale analyses are still in a developmental phase. Here we report robust protocols for online LC-MS to drive high-throughput top-down proteomics in a fashion similar to that of bottom-up proteomics. Comparative work on protein standards showed that a polymeric stationary phase led to superior sensitivity over a silica-based medium in reversed-phase nanocapillary LC, with detection of proteins >50 kDa routinely accomplished in the linear ion trap of a hybrid Fourier transform mass spectrometer. Protein identification was enabled by nozzle-skimmer dissociation and detection of fragment ions with <10 ppm mass accuracy for highly specific database searching using tailored software. This overall approach led to identification of proteins up to 80 kDa, with 10-60 proteins identified in single LC-MS runs of samples from yeast and human cell lines prefractionated by their molecular mass using a gel-based sieving system.

Indexed as

NanotechnologyAmino Acid SequenceAnimalsCattleChromatography, LiquidHeLa CellsHumansMass SpectrometryMolecular Sequence DataMolecular WeightPolymersPorosityProteinsProteomeSaccharomyces cerevisiae ProteinsTime FactorsPolymersProteinsProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID20073486
PMCPMC2823583
OpenAlexW148173047

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.