Evidence map›Paper›PMID 23525540›Full record

ArticleAnalytical and bioanalytical chemistry2013

Chip-based nLC-TOF-MS is a highly stable technology for large-scale high-throughput analyses.

L Renee Ruhaak, Sandra L Taylor, Suzanne Miyamoto, Karen Kelly, Gary S Leiserowitz, David Gandara, Carlito B Lebrilla, Kyoungmi Kim

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

  1. The Plasma Glycome Differences Between Women with PCOS and Healthy Controls.International journal of molecular sciences · 2026
    Article
  2. Review
  3. ACS omega · 2022
    Article
  4. Review
  5. Review
  6. Serum glycosylation characterization of osteonecrosis of the femoral head by mass spectrometry.European journal of mass spectrometry (Chichester, England) · 2018
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Serum Glycans as Risk Markers for Non-Small Cell Lung Cancer.Cancer prevention research (Philadelphia, Pa.) · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Detection of milk oligosaccharides in plasma of infants.Analytical and bioanalytical chemistry · 2014
    Article
  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

8 authors at 3 institutions in 1 country.

L Renee RuhaakDepartment of Chemistry, University of California Davis, Davis, CA 95616, USA. lruhaak@ucdavis.edu
Sandra L Taylor
Suzanne Miyamoto
Karen Kelly
Gary S Leiserowitz
David Gandara
Carlito B Lebrilla
Kyoungmi Kim
University of California, Davis · USUC Davis Comprehensive Cancer CenterUniversity of California Davis Medical Center · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
The incorporation of human milk oligosaccharides in brain glycoconjugatesR01GM049077 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI LEBRILLA, CARLITO B · 1999 to 2024
$6.3M
Necrotizing Enterocolitis: Prevention and PredictionR01HD059127 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B, MILLS, DAVID ANDREW · 2008 to 2012
$3.1M
Structures, Functions, & Genetic Diversity of Oligosaccharides in MilkR01HD061923 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B · 2009 to 2013
$1.6M
Glycomic Markers of Non-Small Cell Lung CancerR21CA135240 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MIYAMOTO, SUZANNE · 2010 to 2011
$361k
NCATS NIH HHS UL1 TR 000002NCATS NIH HHS UL1 TR000002NCI NIH HHS R21 CA135240NICHD NIH HHS HD059127NICHD NIH HHS HD061923NICHD NIH HHS R01 HD059127NICHD NIH HHS R01 HD061923NIGMS NIH HHS R01 GM049077
6 · The paper itself

Abstract

Many studies focused on the discovery of novel biomarkers for the diagnosis and treatment of disease states are facilitated by mass spectrometry-based technology. HPLC coupled to mass spectrometry is widely used; miniaturization of this technique using nano-liquid chromatography (LC)-mass spectrometry (MS) usually results in better sensitivity, but is associated with limited repeatability. The recent introduction of chip-based technology has significantly improved the stability of nano-LC-MS, but no substantial studies to verify this have been performed. To evaluate the temporal repeatability of chip-based nano-LC-MS analyses, N-glycans released from a serum sample were repeatedly analyzed using nLC-PGC-chip-TOF-MS on three non-consecutive days. With an average inter-day coefficient of variation of 4 %, determined on log10-transformed integrals, the repeatability of the system is very high. Overall, chip-based nano-LC-MS appears to be a highly stable technology, which is suitable for the profiling of large numbers of clinical samples for biomarker discovery.

Indexed as

Chromatography, High Pressure LiquidChromatography, LiquidEquipment DesignEquipment Failure AnalysisHumansMass SpectrometryMicrofluidic Analytical TechniquesMiniaturizationPolysaccharidesReproducibility of ResultsSensitivity and SpecificityPolysaccharides

Identifiers

PMID23525540
PMCPMC3640767
OpenAlexW1965646074

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.