Chapter title |
Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
|
---|---|
Chapter number | 10 |
Book title |
Cancer Cell Signaling
|
Published in |
Methods in molecular biology, February 2016
|
DOI | 10.1007/978-1-4939-0856-1_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-0855-4, 978-1-4939-0856-1
|
Authors |
Yi Feng, Xiaowen Hu, Youyou Zhang, Dongmei Zhang, Chunsheng Li, Lin Zhang, Feng Y, Hu X, Zhang Y, Zhang D, Li C, Zhang L, Feng, Yi, Hu, Xiaowen, Zhang, Youyou, Zhang, Dongmei, Li, Chunsheng, Zhang, Lin |
Abstract |
With the advances in sequencing technology and transcriptome analysis, it is estimated that up to 75 % of the human genome is transcribed into RNAs. This finding prompted intensive investigations on the biological functions of noncoding RNAs and led to very exciting discoveries of microRNAs as important players in disease pathogenesis and therapeutic applications. Research on long noncoding RNAs (lncRNAs) is in its infancy, yet a broad spectrum of biological regulations has been attributed to lncRNAs. Here, we provide a collection of detailed experimental protocols for lncRNA studies, including lncRNA immunoprecipitation, lncRNA pull-down, lncRNA northern blot analysis, lncRNA in situ hybridization, and lncRNA knockdown. We hope that the information included in this chapter can speed up research on lncRNAs biology and eventually lead to the development of clinical applications with lncRNA as novel prognostic markers and therapeutic targets. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 86 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 21% |
Researcher | 16 | 19% |
Student > Bachelor | 10 | 12% |
Other | 5 | 6% |
Student > Master | 5 | 6% |
Other | 15 | 17% |
Unknown | 17 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 30 | 35% |
Agricultural and Biological Sciences | 19 | 22% |
Neuroscience | 4 | 5% |
Environmental Science | 2 | 2% |
Medicine and Dentistry | 2 | 2% |
Other | 6 | 7% |
Unknown | 23 | 27% |