Chapter title |
Co-transcriptomic Analysis by RNA Sequencing to Simultaneously Measure Regulated Gene Expression in Host and Bacterial Pathogen
|
---|---|
Chapter number | 10 |
Book title |
Toll-Like Receptors
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3335-8_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3333-4, 978-1-4939-3335-8
|
Authors |
Ravasi, Timothy, Mavromatis, Charalampos, Bokil, Nilesh J., Schembri, Mark A., Sweet, Matthew J., Timothy Ravasi, Charalampos (Harris) Mavromatis, Nilesh J. Bokil, Mark A. Schembri, Matthew J. Sweet |
Abstract |
Intramacrophage pathogens subvert antimicrobial defence pathways using various mechanisms, including the targeting of host TLR-mediated transcriptional responses. Conversely, TLR-inducible host defence mechanisms subject intramacrophage pathogens to stress, thus altering pathogen gene expression programs. Important biological insights can thus be gained through the analysis of gene expression changes in both the host and the pathogen during an infection. Traditionally, research methods have involved the use of qPCR, microarrays and/or RNA sequencing to identify transcriptional changes in either the host or the pathogen. Here we describe the application of RNA sequencing using samples obtained from in vitro infection assays to simultaneously quantify both host and bacterial pathogen gene expression changes, as well as general approaches that can be undertaken to interpret the RNA sequencing data that is generated. These methods can be used to provide insights into host TLR-regulated transcriptional responses to microbial challenge, as well as pathogen subversion mechanisms against such responses. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Luxembourg | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 42% |
Student > Bachelor | 3 | 16% |
Student > Ph. D. Student | 1 | 5% |
Lecturer | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 11% |
Unknown | 3 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 26% |
Agricultural and Biological Sciences | 4 | 21% |
Immunology and Microbiology | 3 | 16% |
Environmental Science | 2 | 11% |
Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 4 | 21% |