Dataset Information

T box RNA decodes both the information content and geometry of tRNA to affect gene expression.

ABSTRACT: The T box leader sequence is an RNA element that controls gene expression by binding directly to a specific tRNA and sensing its aminoacylation state. This interaction controls expression of amino acid-related genes in a negative feedback loop. The T box RNA structure is highly conserved, but its tRNA binding mechanism is only partially understood. Known sequence elements are the specifier sequence, which recognizes the tRNA anticodon, and the antiterminator bulge, which base pairs with the tRNA acceptor end. Here, we reveal the crucial function of the highly conserved stem I distal region in tRNA recognition and report its 2.65-Å crystal structure. The apex of this region contains an intricately woven loop-loop interaction between two conserved motifs, the Adenine-guanine (AG) bulge and the distal loop. This loop-loop structure presents a base triple on its surface that is optimally positioned for base-stacking interactions. Mutagenesis, cross-linking, and small-angle X-ray scattering data demonstrate that the apical base triple serves as a binding platform to dock the tRNA D- and T-loops. Strikingly, the binding platform strongly resembles the D- and T-loop binding elements from RNase P and the ribosome exit site, suggesting that this loop-loop structure may represent a widespread tRNA recognition platform. We propose a two-checkpoint molecular ruler model for tRNA decoding in which the information content of tRNA is first examined through specifier sequence-anticodon interaction, and the length of the tRNA anticodon arm is then measured by the distal loop-loop platform. When both conditions are met, tRNA is secured, and its aminoacylation state is sensed.

SUBMITTER: Grigg JC

PROVIDER: S-EPMC3645572 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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T box RNA decodes both the information content and geometry of tRNA to affect gene expression.

Grigg Jason C JC Chen Yujie Y Grundy Frank J FJ Henkin Tina M TM Pollack Lois L Ke Ailong A

Proceedings of the National Academy of Sciences of the United States of America 20130415 18

The T box leader sequence is an RNA element that controls gene expression by binding directly to a specific tRNA and sensing its aminoacylation state. This interaction controls expression of amino acid-related genes in a negative feedback loop. The T box RNA structure is highly conserved, but its tRNA binding mechanism is only partially understood. Known sequence elements are the specifier sequence, which recognizes the tRNA anticodon, and the antiterminator bulge, which base pairs with the tRNA ...[more]

PMID: 23589841

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Project description:According to the integrated information theory, the quantity of consciousness is the amount of integrated information generated by a complex of elements, and the quality of experience is specified by the informational relationships it generates. This paper outlines a framework for characterizing the informational relationships generated by such systems. Qualia space (Q) is a space having an axis for each possible state (activity pattern) of a complex. Within Q, each submechanism specifies a point corresponding to a repertoire of system states. Arrows between repertoires in Q define informational relationships. Together, these arrows specify a quale -- a shape that completely and univocally characterizes the quality of a conscious experience. Phi -- the height of this shape -- is the quantity of consciousness associated with the experience. Entanglement measures how irreducible informational relationships are to their component relationships, specifying concepts and modes. Several corollaries follow from these premises. The quale is determined by both the mechanism and state of the system. Thus, two different systems having identical activity patterns may generate different qualia. Conversely, the same quale may be generated by two systems that differ in both activity and connectivity. Both active and inactive elements specify a quale, but elements that are inactivated do not. Also, the activation of an element affects experience by changing the shape of the quale. The subdivision of experience into modalities and submodalities corresponds to subshapes in Q. In principle, different aspects of experience may be classified as different shapes in Q, and the similarity between experiences reduces to similarities between shapes. Finally, specific qualities, such as the "redness" of red, while generated by a local mechanism, cannot be reduced to it, but require considering the entire quale. Ultimately, the present framework may offer a principled way for translating qualitative properties of experience into mathematics.

Dataset Information

T box RNA decodes both the information content and geometry of tRNA to affect gene expression.

Publications

T box RNA decodes both the information content and geometry of tRNA to affect gene expression.

Similar Datasets

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