Egyszerű nézet

dc.contributor.author Balla, Bernadett
dc.contributor.author Árvai, Kristóf
dc.contributor.author Horvath P
dc.contributor.author Tóbiás, Bálint
dc.contributor.author Takács, István
dc.contributor.author Nagy, Zsolt
dc.contributor.author Dank, Magdolna
dc.contributor.author Fekete, György
dc.contributor.author Kósa, János
dc.contributor.author Lakatos, Péter
dc.date.accessioned 2016-09-27T10:38:43Z
dc.date.available 2016-09-27T10:38:43Z
dc.date.issued 2014
dc.identifier 84901450357
dc.identifier.citation pagination=204-210; journalVolume=53; journalIssueNumber=2; journalTitle=JOURNAL OF MOLECULAR NEUROSCIENCE;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/2280
dc.identifier.uri doi:10.1007/s12031-014-0286-7
dc.description.abstract Neurofibromatosis type 1 (NF1) gene exhibits one of the highest spontaneous mutation rates in the human genome. Identification of the NF1 mutation is challenging because the NF1 gene is very large and complex, lacking mutational "hot spots." There is no clustering of mutations, there are several pseudogenes, and a wide spectrum of different types of mutation has been recognized. To date, NF1 mutations or deleted regions have been detected with a number of techniques. With the appearance of next-generation sequencing (NGS) machines, molecular biology is in a new revolutionary phase. Our aim was to work out a method to use the high-throughput NGS machine, Ion Torrent PGM, in diagnostic settings for neurofibromatosis type 1. In our examination, we could reveal 21 distinct variations in NF1 gene in seven patients. This is an absolutely new method for exploring the genetic background of neurofibromatosis type 1 exhibiting the extremely high throughput of NGS in a diagnostic setting.
dc.relation.ispartof urn:issn:0895-8696
dc.title Fast and Robust Next-Generation Sequencing Technique Using Ion Torrent Personal Genome Machine for the Screening of Neurofibromatosis Type 1 (NF1) Gene
dc.type Journal Article
dc.date.updated 2015-11-06T12:52:40Z
dc.language.rfc3066 en
dc.identifier.mtmt 2566549
dc.identifier.wos 000335925700010
dc.identifier.pubmed 24676943
dc.contributor.department SE/AOK/K/I. Sz. Belgyógyászati Klinika
dc.contributor.department SE/AOK/K/II. Sz. Gyermekgyógyászati Klinika
dc.contributor.institution Semmelweis Egyetem
dc.mtmt.swordnote Bernadett Balla, Kristóf Árvai, János P. Kósa, and Péter Lakatos contributed equally to this work.


Kapcsolódó fájlok:

A fájl jelenleg csak egyetemi IP címről érhető el.

Megtekintés/Megnyitás

Ez a rekord az alábbi gyűjteményekben szerepel:

Egyszerű nézet