| Title |
BioCode gold-nanobeacon for the detection of fusion transcripts causing chronic myeloid leukemia
|
|---|---|
| Published in |
Journal of Nanobiotechnology, May 2016
|
| DOI | 10.1186/s12951-016-0192-y |
| Pubmed ID | |
| Authors |
M. Cordeiro, L. Giestas, J. C. Lima, P. M. V. Baptista |
| Abstract |
Gold-nanobeacons (Au-nanobeacons) have proven to be versatile systems for molecular diagnostics and therapeutic actuators. Here, we present the development and characterization of two gold nanobeacons combined with Förster resonance energy transfer (FRET) based spectral codification for dual mode sequence discrimination. This is the combination of two powerful technologies onto a single nanosystem. We proved this concept to detect the most common fusion sequences associated with the development of chronic myeloid leukemia, e13a2 and e14a2. The detection is based on spectral shift of the donor signal to the acceptor, which allows for corroboration of the hybridization event. The Au-nanobeacon acts as scaffold for detection of the target in a homogenous format whose output capability (i.e. additional layer of information) is potentiated via the spectral codification strategy. The spectral coded Au-nanobeacons permit the detection of each of the pathogenic fusion sequences, with high specificity towards partial complementary sequences. The proposed BioCode Au-nanobeacon concept provides for a nanoplatform for molecular recognition suitable for cancer diagnostics. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 25% |
| Student > Ph. D. Student | 5 | 18% |
| Student > Bachelor | 4 | 14% |
| Researcher | 2 | 7% |
| Librarian | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 29% |
| Agricultural and Biological Sciences | 5 | 18% |
| Medicine and Dentistry | 3 | 11% |
| Chemistry | 3 | 11% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2017.
All research outputs
#14,718,998
of 23,567,572 outputs
Outputs from Journal of Nanobiotechnology
#534
of 1,531 outputs
Outputs of similar age
#183,968
of 328,626 outputs
Outputs of similar age from Journal of Nanobiotechnology
#8
of 16 outputs
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