Chapter title |
Next-Generation Sequencing Approaches to Define the Role of the Autophagy Lysosomal Pathway in Human Disease: The Example of LysoPlex
|
---|---|
Chapter number | 15 |
Book title |
Lysosomes
|
Published in |
Methods in molecular biology, April 2017
|
DOI | 10.1007/978-1-4939-6934-0_15 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6932-6, 978-1-4939-6934-0
|
Authors |
Di Fruscio, Giuseppina, Banfi, Sandro, Nigro, Vincenzo, Ballabio, Andrea, Giuseppina Di Fruscio, Sandro Banfi, Vincenzo Nigro, Andrea Ballabio |
Editors |
Karin Öllinger, Hanna Appelqvist |
Abstract |
Next-Generation Sequencing (NGS) technologies have deeply changed the throughput of genetic testing allowing analyzing millions of DNA fragments in parallel. One key application is the understanding of genetically heterogeneous and complex diseases where 50-100 different genes may converge to control the same pathways. These disorders cannot be studied using traditional approaches, based on gene-by-gene Sanger sequencing. We have set up an NGS protocol based on a specific selection of DNA regions belonging to about 900 genes of the autophagy-lysosomal (ALP) pathway. We here specify all the technical steps and challenges of our protocol, named LysoPlex. This is based on the Haloplex technology and together with high-coverage sequencing empowers a high and uniform coverage of ALP genes. LysoPlex outplays other NGS applications in sensitivity and specificity, providing an accurate picture of all variations in ALP genes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Italy | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 40% |
Student > Doctoral Student | 1 | 10% |
Other | 1 | 10% |
Professor | 1 | 10% |
Researcher | 1 | 10% |
Other | 0 | 0% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 30% |
Agricultural and Biological Sciences | 2 | 20% |
Business, Management and Accounting | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Unknown | 3 | 30% |