| Chapter title |
Genetic Mouse Models: The Powerful Tools to Study Fat Tissues
|
|---|---|
| Chapter number | 10 |
| Book title |
Thermogenic Fat
|
| Published in |
Methods in molecular biology, February 2017
|
| DOI | 10.1007/978-1-4939-6820-6_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6819-0, 978-1-4939-6820-6
|
| Authors |
Xingxing Kong, Kevin W. Williams, Tiemin Liu |
| Editors |
Jun Wu |
| Abstract |
Obesity and Type 2 diabetes (T2D) are associated with a variety of comorbidities that contribute to mortality around the world. Although significant effort has been expended in understanding mechanisms that mitigate the consequences of this epidemic, the field has experienced limited success thus far. The potential ability of brown adipose tissue (BAT) to counteract obesity and metabolic disease in rodents (and potentially in humans) has been a topical realization. Recently, there is also another thermogenic fat cell called beige adipocytes, which are located among white adipocytes and share similar activated responses to cyclic AMP as classical BAT. In this chapter, we review contemporary molecular strategies to investigate the role of adipose tissue depots in metabolism. In particular, we will discuss the generation of adipose tissue-specific knockout and overexpression of target genes in various mouse models. We will also discuss how to use different Cre (cyclization recombination) mouse lines to investigate diverse types of adipocytes. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Bachelor | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Master | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 38% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unknown | 5 | 31% |