Chapter title |
X-Aptamer Selection and Validation
|
---|---|
Chapter number | 10 |
Book title |
RNA Nanostructures
|
Published in |
Methods in molecular biology, July 2017
|
DOI | 10.1007/978-1-4939-7138-1_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7137-4, 978-1-4939-7138-1
|
Authors |
Ganesh L. Lokesh, Hongyu Wang, Curtis H. Lam, Varatharasa Thiviyanathan, Nancy Ward, David G. Gorenstein, David E. Volk, Lokesh, Ganesh L., Wang, Hongyu, Lam, Curtis H., Thiviyanathan, Varatharasa, Ward, Nancy, Gorenstein, David G., Volk, David E. |
Abstract |
Aptamers and second generation analogs, such as X-Aptamers (XAs), SOMAmers, locked nucleic acids (LNAs), and others are increasingly being used for molecular pathway targeting, biomarker discovery, or disease diagnosis by interacting with protein targets on the surface of cells or in solution. Such targeting is being used for imaging, diagnostic evaluation, interference of protein function, or delivery of therapeutic agents. Selection of aptamers using the original SELEX method is cumbersome and time-consuming, often requiring 10-15 rounds of selection, and provides aptamers with a limited number of functional groups, namely four bases of DNA or RNA, although newer SELEX methods have increased this diversity. In contrast, X-Aptamers provide an unlimited number of functional groups and thus are superior targeting agents. Here, we discuss the X-Aptamer selection process. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 18% |
Student > Bachelor | 8 | 16% |
Student > Master | 8 | 16% |
Student > Doctoral Student | 4 | 8% |
Student > Ph. D. Student | 2 | 4% |
Other | 4 | 8% |
Unknown | 15 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 22% |
Chemistry | 8 | 16% |
Agricultural and Biological Sciences | 5 | 10% |
Immunology and Microbiology | 2 | 4% |
Nursing and Health Professions | 1 | 2% |
Other | 5 | 10% |
Unknown | 18 | 36% |