A label-free technique for accurate detection of nucleic acid–based self-avoiding molecular recognition systems supplemented multiple cross-displacement amplification and nanoparticles based biosensor ...

Here, we devised a novel isothermal technique on the basis of standard multiple cross-displacement amplification (MCDA), which is assisted with self-avoiding molecular recognition system (SAMRS) components and antarctic thermal-sensitive uracil-DNA-glycosylase enzyme (AUDG), termed AUDG–SAMRS–MCDA....

Full description

Bibliographic Details
Main Authors: Wang, Yi, Wang, Yan, Wang, Hong, Xu, Jianguo, Ye, Changyun
Format: Dataset
Language:unknown
Published: Taylor & Francis 2017
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.5504149.v1
https://tandf.figshare.com/articles/dataset/A_label-free_technique_for_accurate_detection_of_nucleic_acid_based_self-avoiding_molecular_recognition_systems_supplemented_multiple_cross-displacement_amplification_and_nanoparticles_based_biosensor/5504149/1
Description
Summary:Here, we devised a novel isothermal technique on the basis of standard multiple cross-displacement amplification (MCDA), which is assisted with self-avoiding molecular recognition system (SAMRS) components and antarctic thermal-sensitive uracil-DNA-glycosylase enzyme (AUDG), termed AUDG–SAMRS–MCDA. To enable product detection on the dipsticks, we firstly developed an analysis strategy, which did not require the labelled primers or probes, and thus, the analysis system avoids the false-positive results arising from undesired hybridization (between two labelled primers, or the labelled probe and primer). The SAMRS components are incorporated into MCDA primers for improve the assay’s specificity, which can prevent the false-positive results yielding from off-target hybrids, undesired interactions between (hetero-dimer) or within (self-dimerization) primers. Two additional components (AUDG enzyme and dUTP) were added into the reaction mixtures, which were used for removing the false-positive results generating ...