Enhanced detection levels in a semi-automated sandwich hybridisation assay using a peptide nucleic acid (PNA) signal probe

التفاصيل البيبلوغرافية
العنوان: Enhanced detection levels in a semi-automated sandwich hybridisation assay using a peptide nucleic acid (PNA) signal probe
المؤلفون: L Connell, W Litaker, P Tester, J Ray
المصدر: African Journal of Marine Science; Vol 28, No 5 (2006)
بيانات النشر: National Inquiry Services Center (NISC), 2006.
سنة النشر: 2006
مصطلحات موضوعية: Peptide nucleic acid, Oligonucleotide, Algal species, Hybridization probe, RNA, Aquatic Science, Biology, Signal, Fluorescence, chemistry.chemical_compound, peptide nucleic acid, PNA, sandwich hybridisation assay, chemistry, Biochemistry, Ecology, Evolution, Behavior and Systematics, DNA
الوصف: A peptide nucleic acid (PNA) signal probe was tested as a replacement for a typical DNA oligonucleotide-based signal probe in a semi-automated sandwich hybridisation assay designed to detect the harmful phytoplankton species Alexandrium tamarense. The PNA probe yielded consistently higher fluorescent signal intensities than the DNA-based signal probes without any loss of specificity. A combination of species-specific DNA-based capture probes and more generic PNA signal probes are suggested as an optimal configuration for semi-automated sandwich hybridisation assays, designed to detect harmful algal species. The DNA-based probe provides a cost-effective means of capturing RNA from different species, whereas the more expensive PNA signal probe provides enhanced signal intensity compared with traditional DNA probes. Configuring the PNA signal probe to bind multiple species can facilitate the development of new assays and reduce the per-assay cost of using PNA probes.
وصف الملف: application/pdf
تدمد: 1814-2338
1814-232X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::265b00a9e3803df57535a85a47744fe8Test
https://doi.org/10.2989/18142320609504154Test
رقم الانضمام: edsair.doi.dedup.....265b00a9e3803df57535a85a47744fe8
قاعدة البيانات: OpenAIRE