| Chapter title |
RNA-Sequencing of Staphylococcus aureus Messenger RNA.
|
|---|---|
| Chapter number | 192 |
| Book title |
The Genetic Manipulation of Staphylococci
|
| Published in |
Methods in molecular biology, February 2015
|
| DOI | 10.1007/7651_2014_192 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3157-6, 978-1-4939-3158-3
|
| Authors |
Ronan K Carroll, Andy Weiss, Lindsey N Shaw, Ronan K. Carroll, Lindsey N. Shaw, Carroll, Ronan K., Weiss, Andy, Shaw, Lindsey N. |
| Abstract |
RNA-sequencing (RNA-seq) is a technique that employs next-generation DNA-sequencing technology to simultaneously sequence all of the RNA transcripts in a cell. It can provide valuable insights into transcript and operon structure, and is rapidly replacing expression microarrays as the technique of choice for determining global gene expression profiles in bacteria. Herein we outline the procedures involved in performing RNA-seq with samples of RNA from Staphylococcus aureus. We draw particular attention to key aspects of sample preparation, such as RNA integrity and removal of ribosomal RNA, and provide details of critical steps in downstream data analysis. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Researcher | 9 | 25% |
| Student > Doctoral Student | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 12 | 33% |
| Biochemistry, Genetics and Molecular Biology | 10 | 28% |
| Agricultural and Biological Sciences | 5 | 14% |
| Unspecified | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 17% |