2013
DOI: 10.1074/mcp.m112.022319
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In-depth Proteomic Characterization of Endogenous Nuclear Receptors in Mouse Liver

Abstract: Nuclear receptors (NRs) are a superfamily of transcription factors that, upon binding to ligands, bind specific DNA sequences and regulate a transcriptional program governing cell proliferation, differentiation, and metabolism. In the liver, by sensing lipid-soluble hormones and dietary lipids and governing the expression of key liver metabolic genes, NR proteins direct a large array of key hepatic functions that include lipid and glucose metabolism, bile secretion, and bile acid homeostasis. Although much has… Show more

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Cited by 18 publications
(22 citation statements)
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“…Mass Spectrometric Identification of PTMs in Oct4 Proteins-Oct4 samples were subjected to overnight digestion with trypsin or chymotrypsin as described by Liu et al (40). The peptides were extracted with acetonitrile containing 0.1% formic acid and vacuum-dried.…”
Section: Methodsmentioning
confidence: 99%
“…Mass Spectrometric Identification of PTMs in Oct4 Proteins-Oct4 samples were subjected to overnight digestion with trypsin or chymotrypsin as described by Liu et al (40). The peptides were extracted with acetonitrile containing 0.1% formic acid and vacuum-dried.…”
Section: Methodsmentioning
confidence: 99%
“…A similar number of NRs (35) were identified by mass spectrometric profiling of NRs bound to their cognate DNA response elements in hepatocytes isolated from C57BL/6J male and female mice 50 . Of these, the NR1 subfamily that heterodimerize with retinoid X receptors (RXRα, RXRβ and RXRγ), which includes the peroxisome proliferator-activated receptors α, β and γ (PPARs), the liver X receptors α and β (LXRs), farnesoid X receptor α (FXRα), the constitutive androstane receptor (CAR), the pregnane X receptor (PXR) and thyroid receptors (TRs), have been implicated in modulation of NAFLD (FIG.…”
Section: Liver Fat Metabolism and Edcsmentioning
confidence: 99%
“…To normalize the differences in loading amounts among samples, the iBAQ value was converted to iFOT (fraction of total, iBAQ value of each protein divided by the sum of all iBAQ values of all proteins in the sample). For better visualization, iFOTs were multiplied by 10 5 [27]. To eliminate the difference between different groups, the iFOTs were normalized by quantile algorithm [28].…”
Section: Lc-ms/ms Analysismentioning
confidence: 99%