2001
DOI: 10.1002/humu.1151
|View full text |Cite
|
Sign up to set email alerts
|

Biosensor technology for real-time detection of the cystic fibrosis W1282X mutation in CFTR

Abstract: In the present paper, biospecific interaction analysis (BIA) was performed using surface plasmon resonance (SPR) and biosensor technologies to detect the Trp1282Ter mutation (W1282X) of the cystic fibrosis (CF) transmembrane conductance regulator (CFTR) gene. We first immobilized on a SA5 sensor chip a single-stranded biotinylated oligonucleotide containing the sequence involved in this mutation, and the efficiency of hybridization of oligonucleotide probes differing in length was determined. Second, we immobi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
37
0
1

Year Published

2002
2002
2017
2017

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 36 publications
(38 citation statements)
references
References 31 publications
0
37
0
1
Order By: Relevance
“…[8][9][10] However, to our knowledge, no report was published on the parallel diagnosis of multiple mutations. This is a very important feature of diagnosis protocols, since in most cases, hereditary diseases involving point mutations are highly heterogeneous.…”
Section: Discussionmentioning
confidence: 99%
See 4 more Smart Citations
“…[8][9][10] However, to our knowledge, no report was published on the parallel diagnosis of multiple mutations. This is a very important feature of diagnosis protocols, since in most cases, hereditary diseases involving point mutations are highly heterogeneous.…”
Section: Discussionmentioning
confidence: 99%
“…After hybridization, the sensor chips were regenerated by performing a 5 ml pulse of 50 mM NaOH. 8,10 Sensorgrams were analyzed with the BIAevaluationt 2.1 software. 6 Blank subtractions were performed in all the experiments reported.…”
Section: Surface Plasmon Resonancementioning
confidence: 99%
See 3 more Smart Citations