Evidence map›Paper›PMID 18947249›Full record

ArticleJournal of proteome research2009

Temporal profiling of the adipocyte proteome during differentiation using a five-plex SILAC based strategy.

Henrik Molina, Yi Yang, Travis Ruch, Jae-Woo Kim, Peter Mortensen, Tamara Otto, Anuradha Nalli, Qi-Qun Tang, M Daniel Lane, Raghothama Chaerkady and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.8field-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

52 citing papers in PubMed, 138 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Henrik Molina *McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Yi Yang *McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Travis RuchDepartment of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21205, USA.
Jae-Woo KimDepartment of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21205, USA.
Peter MortensenCenter for Experimental BioInformatics (CEBI), Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark.
Tamara OttoDepartment of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21205, USA.
Anuradha NalliInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.
Qi-Qun TangDepartment of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21205, USA.
M Daniel LaneDepartment of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21205, USA.
Raghothama ChaerkadyMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Akhilesh PandeyMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Johns Hopkins University · USUniversity of Southern Denmark · DKInstitute of Bioinformatics · IN

Funding

TCP5: ACTIVE SITE LABELING REAGENT FOR ACETYLTRANSFERASESU54RR020839 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BOEKE, JEF D · 2004 to 2011
$27.4M
NCRR NIH HHS U54 RR020839NCRR NIH HHS U54RR020839
6 · The paper itself

Abstract

The adipose tissue has important secretory and endocrine functions in humans. The regulation of adipocyte differentiation has been actively pursued using transcriptomic methods over the last several years. Quantitative proteomics has emerged as a promising approach to obtain temporal profiles of biological processes such as differentiation. Stable isotope labeling with amino acids in cell culture (SILAC) is a simple and robust method for labeling proteins in vivo. Here, we describe the development and application of a five-plex SILAC experiment using four different heavy stable isotopic forms of arginine to study the nuclear proteome and the secretome during the course of adipocyte differentiation. Tandem mass spectrometry analysis using a quadrupole time-of-flight instrument resulted in identification of a total 882 proteins from these two proteomes. Of these proteins, 427 were identified on the basis of one or more arginine-containing peptides that allowed quantitation. In addition to previously reported molecules that are differentially expressed during the process of adipogenesis (e.g., adiponectin and lipoprotein lipase), we identified several proteins whose differential expression during adipocyte differentiation has not been documented previously. For example, THO complex 4, a context-dependent transcriptional activator in the T-cell receptor alpha enhancer complex, showed highest expression at middle stage of adipogenesis, while SNF2 alpha, a chromatin remodeling protein, was downregulated upon initiation of adipogenesis and remained so during subsequent time points. This study using a 5-plex SILAC to investigate dynamics illustrates the power of this approach to identify differentially expressed proteins in a temporal fashion.

Indexed as

Gene Expression Regulation3T3-L1 CellsAdipocytesAdipogenesisAnimalsAzo CompoundsCell DifferentiationCell NucleusChromatography, LiquidIsotopesMass SpectrometryMiceProteomicsTime FactorsTrypsinAzo CompoundsIsotopesoil red OTrypsin

Identifiers

PMID18947249
PMCPMC2642533
OpenAlexW1995000029

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.