| Chapter title |
Gene expression profiling: metatranscriptomics.
|
|---|---|
| Chapter number | 14 |
| Book title |
High-Throughput Next Generation Sequencing
|
| Published in |
Methods in molecular biology, January 2011
|
| DOI | 10.1007/978-1-61779-089-8_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-088-1, 978-1-61779-089-8
|
| Authors |
Jack A Gilbert, Margaret Hughes, Gilbert JA, Hughes M, Jack A. Gilbert, Gilbert, Jack A., Hughes, Margaret |
| Abstract |
Metatranscriptomics has been developed to help understand how communities respond to changes in their environment. Metagenomic studies provided a snapshot of the genetic composition of the community at any given time. However, short-timescale studies investigating the response of communities to rapid environmental changes (e.g. pollution events or diurnal light availability) require analysis of changes in the abundance and composition of the active fraction of the community. Metatranscriptomics enables researchers to investigate the actively transcribed ribosomal and messenger RNA from a community. It has been applied to environments as diverse as soil and seawater. This chapter outlines sampling protocols and RNA extraction techniques from these two ecosystems, as well as details a method to enrich mRNA in the extracted nucleic acid. Also, a section is dedicated for outlining a bioinformatic procedure for the analysis of metatranscriptomic datasets. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Arab Emirates | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| Poland | 2 | 2% |
| Brazil | 2 | 2% |
| Portugal | 1 | <1% |
| Australia | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 97 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 25% |
| Researcher | 29 | 25% |
| Student > Master | 11 | 10% |
| Professor > Associate Professor | 9 | 8% |
| Student > Bachelor | 5 | 4% |
| Other | 16 | 14% |
| Unknown | 16 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 52% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Environmental Science | 8 | 7% |
| Chemical Engineering | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 7 | 6% |
| Unknown | 19 | 17% |