Chapter title |
RNA Processing
|
---|---|
Chapter number | 2 |
Book title |
RNA Processing
|
Published in |
Advances in experimental medicine and biology, January 2016
|
DOI | 10.1007/978-3-319-29073-7_2 |
Pubmed ID | |
Book ISBNs |
978-3-31-929071-3, 978-3-31-929073-7
|
Authors |
Silverman, Ian M, Berkowitz, Nathan D, Gosai, Sager J, Gregory, Brian D, Ian M. Silverman, Nathan D. Berkowitz, Sager J. Gosai, Brian D. Gregory |
Abstract |
RNA molecules of all types fold into complex secondary and tertiary structures that are important for their function and regulation. Structural and catalytic RNAs such as ribosomal RNA (rRNA) and transfer RNA (tRNA) are central players in protein synthesis, and only function through their proper folding into intricate three-dimensional structures. Studies of messenger RNA (mRNA) regulation have also revealed that structural elements embedded within these RNA species are important for the proper regulation of their total level in the transcriptome. More recently, the discovery of microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) has shed light on the importance of RNA structure to genome, transcriptome, and proteome regulation. Due to the relatively small number, high conservation, and importance of structural and catalytic RNAs to all life, much early work in RNA structure analysis mapped out a detailed view of these molecules. Computational and physical methods were used in concert with enzymatic and chemical structure probing to create high-resolution models of these fundamental biological molecules. However, the recent expansion in our knowledge of the importance of RNA structure to coding and regulatory RNAs has left the field in need of faster and scalable methods for high-throughput structural analysis. To address this, nuclease and chemical RNA structure probing methodologies have been adapted for genome-wide analysis. These methods have been deployed to globally characterize thousands of RNA structures in a single experiment. Here, we review these experimental methodologies for high-throughput RNA structure determination and discuss the insights gained from each approach. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 18% |
France | 1 | 9% |
United Kingdom | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 82% |
Scientists | 2 | 18% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 5% |
China | 1 | 5% |
Norway | 1 | 5% |
Unknown | 17 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 15% |
Student > Bachelor | 2 | 10% |
Professor | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Other | 4 | 20% |
Unknown | 6 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 30% |
Biochemistry, Genetics and Molecular Biology | 6 | 30% |
Chemical Engineering | 1 | 5% |
Unspecified | 1 | 5% |
Unknown | 6 | 30% |