Evidence map›Paper›PMID 19241007›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2009

Use of stable isotope labeling by amino acids in cell culture (SILAC) for phosphotyrosine protein identification and quantitation.

Guoan Zhang, Thomas A Neubert

Abstract readReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
9.5field-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

21 citing papers in PubMed, 52 citations in OpenAlex.

  1. Mass Spectrometry for Proteomics-Based Investigation.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Proteomics of the heart.Physiological reviews · 2024
    Review
  8. Review
  9. Review
  10. Article
  11. Quantitative Comparison of Proteomes Using SILAC.Current protocols in protein science · 2019
    Review
  12. Bacterial production of site specificJournal of biomolecular NMR · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Phosphoproteomics in cancer.Molecular oncology · 2010
    Review
  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

2 authors at 1 institution in 1 country.

Guoan ZhangDepartment of Pharmacology, New York University School of Medicine, New York, NY, USA.
Thomas A Neubert
New York University · US

Funding

Protein Mass Spectrometry Core Facility for NeuroscienceP30NS050276 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NEUBERT, THOMAS A · 2005 to 2015
$7.9M
NINDS NIH HHS P30 NS050276
6 · The paper itself

Abstract

In recent years, stable isotope labeling by amino acids in cell culture (SILAC) has become increasingly popular as a quantitative proteomic method. In SILAC experiments, proteins are metabolically labeled by culturing cells in media containing normal and heavy isotope amino acids. This makes proteins from the light and heavy cells distinguishable by mass spectrometry (MS) after the cell lysates are mixed and the proteins separated and/or enriched. SILAC is a powerful tool for the study of intracellular signal transduction. In particular, it has been very popular and successful in quantitative analysis of phosphotyrosine (pTyr) proteomes to characterize pTyr-dependent signaling pathways. In this chapter, we describe the SILAC procedure and use EphB signaling pathway as an example to illustrate the use of SILAC to investigate such pathways.

Indexed as

AlgorithmsAmino AcidsAnimalsCell Culture TechniquesCells, CulturedHumansIsotope LabelingPhosphoproteinsProtein-Tyrosine KinasesAmino AcidsPhosphoproteinsProtein-Tyrosine Kinases

Identifiers

PMID19241007
PMCPMC3757925
OpenAlexW284839521

What OpenQuestion holds

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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.