Evidence map›Paper›PMID 25077673›Full record

ArticleJournal of proteome research2014

Comparing SILAC- and stable isotope dimethyl-labeling approaches for quantitative proteomics.

Ho-Tak Lau, Hyong Won Suh, Martin Golkowski, Shao-En Ong

Abstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 106 citations in OpenAlex.

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  15. The Herbal Compound Thymol Targets MultipleFrontiers in pharmacology · 2021
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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 at 1 institution in 1 country.

Ho-Tak LauSchool of Medicine, Department of Pharmacology, University of Washington , Box 357280, Seattle, Washington 98195, United States.
Hyong Won Suh
Martin Golkowski
Shao-En Ong
University of Washington · US

Funding

Characterizing Muscle Regulatory Elements with Mass Spectrometry-Based ProteomicsR01AR065459 · NIAMS · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2013 to 2017
$1.6M
Kinase Profiling with Quantititative ChemoproteomicsR21CA177402 · NCI · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J, ONG, SHAO-EN · 2013 to 2015
$665k
NCI NIH HHS R21 CA177402NCI NIH HHS R21CA177402NIAMS NIH HHS R01 AR065459NIAMS NIH HHS R01AR065459
6 · The paper itself

Abstract

Stable isotope labeling is widely used to encode and quantify proteins in mass-spectrometry-based proteomics. We compared metabolic labeling with stable isotope labeling by amino acids in cell culture (SILAC) and chemical labeling by stable isotope dimethyl labeling and find that they have comparable accuracy and quantitative dynamic range in unfractionated proteome analyses and affinity pull-down experiments. Analyzing SILAC- and dimethyl-labeled samples together in single liquid chromatography-mass spectrometric analyses minimizes differences under analytical conditions, allowing comparisons of quantitative errors introduced during sample processing. We find that SILAC is more reproducible than dimethyl labeling. Because proteins from metabolically labeled populations can be combined before proteolytic digestion, SILAC is particularly suited to studies with extensive sample processing, such as fractionation and enrichment of peptides with post-translational modifications. We compared both methods in pull-down experiments using a kinase inhibitor, dasatinib, and tagged GRB2-SH2 protein as affinity baits. We describe a StageTip dimethyl-labeling protocol that we applied to in-solution and in-gel protein digests. Comparing the impact of post-digest isotopic labeling on quantitative accuracy, we demonstrate how specific experimental designs can benefit most from metabolic labeling approaches like SILAC and situations where chemical labeling by stable isotope-dimethyl labeling can be a practical alternative.

Indexed as

Amino AcidsHeLa CellsHumansIsotope LabelingModels, ChemicalProteinsProteomeProteomicsAmino AcidsProteinsProteome

Identifiers

PMID25077673
PMCPMC4156256
OpenAlexW2318773378

What OpenQuestion holds

Textmetadata
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.