| Chapter title |
Impact of Next-Generation Technologies on Exploring Socioeconomically Important Parasites and Developing New Interventions.
|
|---|---|
| Chapter number | 31 |
| Book title |
Veterinary Infection Biology: Molecular Diagnostics and High-Throughput Strategies
|
| Published in |
Methods in molecular biology, October 2014
|
| DOI | 10.1007/978-1-4939-2004-4_31 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2003-7, 978-1-4939-2004-4
|
| Authors |
Cinzia Cantacessi, Andreas Hofmann, Bronwyn E Campbell, Robin B Gasser, Cantacessi C, Hofmann A, Campbell BE, Gasser RB, Cantacessi, Cinzia, Hofmann, Andreas, Campbell, Bronwyn E., Gasser, Robin B., Bronwyn E. Campbell, Robin B. Gasser |
| Editors |
Mónica V. Cunha, João Inácio |
| Abstract |
High-throughput molecular and computer technologies have become instrumental for systems biological explorations of pathogens, including parasites. For instance, investigations of the transcriptomes of different developmental stages of parasitic nematodes give insights into gene expression, regulation and function in a parasite, which is a significant step to understanding their biology, as well as interactions with their host(s) and disease. This chapter (1) gives a background on some key parasitic nematodes of socioeconomic importance, (2) describes sequencing and bioinformatic technologies for large-scale studies of the transcriptomes and genomes of these parasites, (3) provides some recent examples of applications and (4) emphasizes the prospects of fundamental biological explorations of parasites using these technologies for the development of new interventions to combat parasitic diseases. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 15% |
| Student > Master | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Other | 5 | 25% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 20% |
| Veterinary Science and Veterinary Medicine | 3 | 15% |
| Medicine and Dentistry | 3 | 15% |
| Immunology and Microbiology | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 4 | 20% |