scholarly journals Thyroid Hormone Regulation of Hepatic Genes in Vivo Detected by Complementary DNA Microarray

2000 ◽  
Vol 14 (7) ◽  
pp. 947-955 ◽  
Author(s):  
Xu Feng ◽  
Yuan Jiang ◽  
Paul Meltzer ◽  
Paul M. Yen

Abstract The liver is an important target organ of thyroid hormone. However, only a limited number of hepatic target genes have been identified, and little is known about the pattern of their regulation by thyroid hormone. We used a quantitative fluorescent cDNA microarray to identify novel hepatic genes regulated by thyroid hormone. Fluorescent-labeled cDNA prepared from hepatic RNA of T3-treated and hypothyroid mice was hybridized to a cDNA microarray, representing 2225 different mouse genes, followed by computer analysis to compare relative changes in gene expression. Fifty five genes, 45 not previously known to be thyroid hormone-responsive genes, were found to be regulated by thyroid hormone. Among them, 14 were positively regulated by thyroid hormone, and unexpectedly, 41 were negatively regulated. The expression of 8 of these genes was confirmed by Northern blot analyses. Thyroid hormone affected gene expression for a diverse range of cellular pathways and functions, including gluconeogenesis, lipogenesis, insulin signaling, adenylate cyclase signaling, cell proliferation, and apoptosis. This is the first application of the microarray technique to study hormonal regulation of gene expression in vivo and should prove to be a powerful tool for future studies of hormone and drug action.

2009 ◽  
Vol 106 (23) ◽  
pp. 9441-9446 ◽  
Author(s):  
D. S. Machado ◽  
A. Sabet ◽  
L. A. Santiago ◽  
A. R. Sidhaye ◽  
M. I. Chiamolera ◽  
...  

2016 ◽  
Vol 113 (13) ◽  
pp. E1835-E1843 ◽  
Author(s):  
Mina Fazlollahi ◽  
Ivor Muroff ◽  
Eunjee Lee ◽  
Helen C. Causton ◽  
Harmen J. Bussemaker

Regulation of gene expression by transcription factors (TFs) is highly dependent on genetic background and interactions with cofactors. Identifying specific context factors is a major challenge that requires new approaches. Here we show that exploiting natural variation is a potent strategy for probing functional interactions within gene regulatory networks. We developed an algorithm to identify genetic polymorphisms that modulate the regulatory connectivity between specific transcription factors and their target genes in vivo. As a proof of principle, we mapped connectivity quantitative trait loci (cQTLs) using parallel genotype and gene expression data for segregants from a cross between two strains of the yeast Saccharomyces cerevisiae. We identified a nonsynonymous mutation in the DIG2 gene as a cQTL for the transcription factor Ste12p and confirmed this prediction empirically. We also identified three polymorphisms in TAF13 as putative modulators of regulation by Gcn4p. Our method has potential for revealing how genetic differences among individuals influence gene regulatory networks in any organism for which gene expression and genotype data are available along with information on binding preferences for transcription factors.


2013 ◽  
Vol 289 (3) ◽  
pp. 1313-1328 ◽  
Author(s):  
Preeti Ramadoss ◽  
Brian J. Abraham ◽  
Linus Tsai ◽  
Yiming Zhou ◽  
Ricardo H. Costa-e-Sousa ◽  
...  

Triiodothyronine (T3) regulates key metabolic processes in the liver through the thyroid hormone receptor, TRβ1. However, the number of known target genes directly regulated by TRβ1 is limited, and the mechanisms by which positive and especially negative transcriptional regulation occur are not well understood. To characterize the TRβ1 cistrome in vivo, we expressed a biotinylated TRβ1 in hypo- and hyperthyroid mouse livers, used ChIP-seq to identify genomic TRβ1 targets, and correlated these data with gene expression changes. As with other nuclear receptors, the majority of TRβ1 binding sites were not in proximal promoters but in the gene body of known genes. Remarkably, T3 can dictate changes in TRβ1 binding, with strong correlation to T3-induced gene expression changes, suggesting that differential TRβ1 binding regulates transcriptional outcome. Additionally, DR-4 and DR-0 motifs were significantly enriched at binding sites where T3 induced an increase or decrease in TRβ1 binding, respectively, leading to either positive or negative regulation by T3. Taken together, the results of this study provide new insights into the mechanisms of transcriptional regulation by TRβ1 in vivo.


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 372 ◽  
Author(s):  
Delasa Aghamirzaie ◽  
Karthik Raja Velmurugan ◽  
Shuchi Wu ◽  
Doaa Altarawy ◽  
Lenwood S. Heath ◽  
...  

Motivation: The increasing availability of chromatin immunoprecipitation sequencing (ChIP-Seq) data enables us to learn more about the action of transcription factors in the regulation of gene expression. Even though in vivo transcriptional regulation often involves the concerted action of more than one transcription factor, the format of each individual ChIP-Seq dataset usually represents the action of a single transcription factor. Therefore, a relational database in which available ChIP-Seq datasets are curated is essential. Results: We present Expresso (database and webserver) as a tool for the collection and integration of available Arabidopsis ChIP-Seq peak data, which in turn can be linked to a user’s gene expression data. Known target genes of transcription factors were identified by motif analysis of publicly available GEO ChIP-Seq data sets. Expresso currently provides three services: 1) Identification of target genes of a given transcription factor; 2) Identification of transcription factors that regulate a gene of interest; 3) Computation of correlation between the gene expression of transcription factors and their target genes. Availability: Expresso is freely available at http://bioinformatics.cs.vt.edu/expresso/


Endocrinology ◽  
2016 ◽  
Vol 157 (4) ◽  
pp. 1660-1672 ◽  
Author(s):  
Kenji Ohba ◽  
Melvin Khee-Shing Leow ◽  
Brijesh Kumar Singh ◽  
Rohit Anthony Sinha ◽  
Ronny Lesmana ◽  
...  

Abstract Clinical symptoms may vary and not necessarily reflect serum thyroid hormone (TH) levels during acute and chronic hyperthyroidism as well as recovery from hyperthyroidism. We thus examined changes in hepatic gene expression and serum TH/TSH levels in adult male mice treated either with a single T3 (20 μg per 100 g body weight) injection (acute T3) or daily injections for 14 days (chronic T3) followed by 10 days of withdrawal. Gene expression arrays from livers harvested at these time points showed that among positively-regulated target genes, 320 were stimulated acutely and 429 chronically by T3. Surprisingly, only 69 of 680 genes (10.1%) were induced during both periods, suggesting desensitization of the majority of acutely stimulated target genes. About 90% of positively regulated target genes returned to baseline expression levels after 10 days of withdrawal; however, 67 of 680 (9.9%) did not return to baseline despite normalization of serum TH/TSH levels. Similar findings also were observed for negatively regulated target genes. Chromatin immunoprecipitation analysis of representative positively regulated target genes suggested that acetylation of H3K9/K14 was associated with acute stimulation, whereas trimethylation of H3K4 was associated with chronic stimulation. In an in vivo model of chronic intrahepatic hyperthyroidism since birth, adult male monocarboxylate transporter-8 knockout mice also demonstrated desensitization of most acutely stimulated target genes that were examined. In summary, we have identified transcriptional desensitization and incomplete recovery of gene expression during chronic hyperthyroidism and recovery. Our findings may be a potential reason for discordance between clinical symptoms and serum TH levels observed in these conditions.


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