Evidence map›Paper›PMID 22519468›Full record

ArticleAnalytical chemistry2012

IsoQuant: a software tool for stable isotope labeling by amino acids in cell culture-based mass spectrometry quantitation.

Zhongping Liao, Yunhu Wan, Stefani N Thomas, Austin J Yang

Abstract read
In one paragraph

Article in Analytical chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

4 authors.

Zhongping LiaoGreenebaum Cancer Center, University of Maryland, Baltimore, Maryland 21201, United States.
Yunhu Wan
Stefani N Thomas
Austin J Yang

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI FEYRUZ VIRGILIA RASSOOL · 2008 to 2026
$51.0M
Proteomics of age-related neurodegenerationR01AG025323 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YANG, AUSTIN · 2004 to 2008
$1.5M
NCI NIH HHS P30 CA134274NCI NIH HHS P30CA134274NIA NIH HHS R01 AG025323NIA NIH HHS R01AG25323
6 · The paper itself

Abstract

Accurate protein identification and quantitation are critical when interpreting the biological relevance of large-scale shotgun proteomics data sets. Although significant technical advances in peptide and protein identification have been made, accurate quantitation of high-throughput data sets remains a key challenge in mass spectrometry data analysis and is a labor intensive process for many proteomics laboratories. Here, we report a new SILAC-based proteomics quantitation software tool, named IsoQuant, which is used to process high mass accuracy mass spectrometry data. IsoQuant offers a convenient quantitation framework to calculate peptide/protein relative abundance ratios. At the same time, it also includes a visualization platform that permits users to validate the quality of SILAC peptide and protein ratios. The program is written in the C# programming language under the Microsoft .NET framework version 4.0 and has been tested to be compatible with both 32-bit and 64-bit Windows 7. It is freely available to noncommercial users at http://www.proteomeumb.org/MZw.html .

Indexed as

SoftwareTandem Mass SpectrometryAmino AcidsAnimalsCells, CulturedChromatography, High Pressure LiquidDatabases, ProteinHippocampusIsotope LabelingProteinsProteomicsRatsAmino AcidsProteins

Identifiers

PMID22519468
PMCPMC3583527

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.