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Tissue specific expression of the rat Ah-receptor and ARNT mRNAs.

ABSTRACT: The Ah-receptor (AHR) is a ligand activated transcription factor that mediates the biological effects of agonists such as 2,3,7,8-tetrachlorodibenzo-p-dioxin. Upon binding agonists, the AHR dimerizes with a structurally related protein known as ARNT and this heterodimer then binds cognate enhancer elements and activates the expression of target genes. In this report we describe the cloning of the rat AHR cDNA and a fragment of the rat ARNT cDNA for use as probes in ribonuclease protection analysis. Ribonuclease protection analysis indicated that the rat AHR mRNA is expressed at the highest levels in the lung > thymus > kidney > liver while lower levels were expressed in heart and spleen. The rat AHR and ARNT mRNAs were expressed in a largely coordinate manner across the eight tissues examined with the exception of the placenta where AHR levels were relatively low compared to ARNT. In these experiments, a rare splice variant of the AHR was cloned that encoded a protein with a deletion in the ligand binding domain. In vitro expression studies demonstrated that in contrast to the full length AHR, the splice variant did not bind ligand nor did it bind to a cognate enhancer element in the presence of ARNT.

SUBMITTER: Carver LA

PROVIDER: S-EPMC310273 | biostudies-other | 1994 Aug

REPOSITORIES: biostudies-other

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Tissue specific expression of the rat Ah-receptor and ARNT mRNAs.

Carver L A LA Hogenesch J B JB Bradfield C A CA

Nucleic acids research 19940801 15

The Ah-receptor (AHR) is a ligand activated transcription factor that mediates the biological effects of agonists such as 2,3,7,8-tetrachlorodibenzo-p-dioxin. Upon binding agonists, the AHR dimerizes with a structurally related protein known as ARNT and this heterodimer then binds cognate enhancer elements and activates the expression of target genes. In this report we describe the cloning of the rat AHR cDNA and a fragment of the rat ARNT cDNA for use as probes in ribonuclease protection analys ...[more]

PMID: 8065918

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Project description:Messenger RNA (mRNA) and long noncoding RNA (lncRNA) are two main subgroups of RNAs participating in transcription regulation. With the development of next generation sequencing, increasing lncRNAs are identified. Many hidden functions of lncRNAs are also revealed. However, the differences in lncRNAs and mRNAs are still unclear. For example, we need to determine whether lncRNAs have stronger tissue specificity than mRNAs and which tissues have more lncRNAs expressed. To investigate such tissue expression difference between mRNAs and lncRNAs, we encoded 9339 lncRNAs and 14,294 mRNAs with 71 expression features, including 69 maximum expression features for 69 types of cells, one feature for the maximum expression in all cells, and one expression specificity feature that was measured as Chao-Shen-corrected Shannon's entropy. With advanced feature selection methods, such as maximum relevance minimum redundancy, incremental feature selection methods, and random forest algorithm, 13 features presented the dissimilarity of lncRNAs and mRNAs. The 11 cell subtype features indicated which cell types of the lncRNAs and mRNAs had the largest expression difference. Such cell subtypes may be the potential cell models for lncRNA identification and function investigation. The expression specificity feature suggested that the cell types to express mRNAs and lncRNAs were different. The maximum expression feature suggested that the maximum expression levels of mRNAs and lncRNAs were different. In addition, the rule learning algorithm, repeated incremental pruning to produce error reduction algorithm, was also employed to produce effective classification rules for classifying lncRNAs and mRNAs, which gave competitive results compared with random forest and could give a clearer picture of different expression patterns between lncRNAs and mRNAs. Results not only revealed the heterogeneous expression pattern of lncRNA and mRNA, but also gave rise to the development of a new tool to identify the potential biological functions of such RNA subgroups.

Dataset Information

Tissue specific expression of the rat Ah-receptor and ARNT mRNAs.

Publications

Tissue specific expression of the rat Ah-receptor and ARNT mRNAs.

Similar Datasets

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