Fengzhou Xu

Concatemeric dsDNA-templated copper nanoparticles strategy with improved sensitivity and stability based on rolling circle replication and its application in microRNA detection.

DNA-templated copper nanoparticles (CuNPs) have emerged as promising fluorescent probes for biochemical assays, but the reported monomeric CuNPs remain problematic because of weak fluorescence and poor stability. To solve this problem, a novel concatemeric dsDNA-templated CuNPs (dsDNA-CuNPs) strategy was proposed by introducing the rolling circle replication (RCR) technique into CuNPs synthesis. In this strategy, a short oligonucleotide primer could trigger RCR and be further converted to a long concatemeric dsDNA scaffold through hybridization. After the addition of copper ions and ascorbate, concatemeric dsDNA-CuNPs could effectively form and emit intense fluorescence in the range of 500-650 nm under a 340 nm excitation. In comparison with monomeric dsDNA-CuNPs, the sensitivity of concatemeric dsDNA-CuNPs was greatly improved with ~10,000 folds amplification. And their fluorescence signal was detected to reserve ~60% at 2.5 h after formation, revealing ~2 times enhanced stability. On the basis of these advantages, microRNA let-7d was selected as the model target to testify this strategy as a versatile assay platform. By directly using let-7d as the primer in RCR, the simple, low-cost, and selective microRNA detection was successfully achieved with a good linearity between 10 and 400 pM and a detection limit of 10 pM. The concatemeric dsDNA-CuNPs strategy might be widely adapted to various analytes that can directly or indirectly induce RCR.

Poly(Thymine)-Templated Fluorescent Copper Nanoparticles for Ultrasensitive Label-Free Nuclease Assay and Its Inhibitors Screening

Noble-metal fluorescent nanoparticles have attracted considerable interest on account of their excellent properties and potential applicable importance in many fields. Particularly, we recently found that poly(thymine) (poly T) could template the formation of fluorescent copper nanoparticles (CuNPs), offering admirable potential as novel functional biochemical probes. However, exploration of poly T-templated CuNPs for application is still at a very early stage. We report herein for the first example to develop a novel ultrasensitive label-free method for the nuclease (S1 nuclease as a model system) assay, and its inhibitors screening using the poly T-templated fluorescent CuNPs. In this assay, the signal reporter of poly T of 30 mer (T30) kept the original long state in the absence of nuclease, which could effectively template the formation of fluorescent CuNPs. In the presence of nuclease, poly T was digested to mono- or oligonucleotide fragments with decrease of fluorescence. The proposed method was low-cost and simple in its operation without requirement for complex labeling of probe DNA or sophisticated synthesis of the fluorescent compound. The assay process was very rapid with only 5 min for the formation of fluorescent CuNPs. The capabilities for target detection from complex fluids and screening of nuclease inhibitors were verified. A high sensitivity exhibited with a detectable minimum concentration of 5 × 10(-7) units μL(-1) S1 nuclease, which was about 1-4 orders of magnitude more sensitive than the developed approaches.

Poly(thymine)-Templated Copper Nanoparticles as a Fluorescent Indicator for Hydrogen Peroxide and Oxidase-Based Biosensing

Biomineralized fluorescent metal nanoparticles have attracted considerable interest in many fields by virtue of their excellent properties in synthesis and application. Poly(thymine)-templated fluorescent copper nanoparticles (T-CuNPs) as a promising nanomaterial has been exploited by us recently and displays great potential for signal transducing in biochemical analysis. However, the application of T-CuNPs is rare and still at an early stage. Here, a new fluorescent analytical strategy has been developed for H2O2 and oxidase-based biosensing by exploiting T-CuNPs as an effective signal indicator. The mechanism is mainly based on the poly(thymine) length-dependent formation of T-CuNPs and the probes oxidative cleavage. In this assay, the probe T40 can effectively template the formation of T-CuNPs by a fast in situ manner in the absence of H2O2, with high fluorescent signal, while the probe is cleaved into short-oligonucleotide fragments by hydroxyl radical (·OH) which is formed from the Fenton reaction in the presence of H2O2, leading to the decline of fluorescence intensity. By taking advantage of H2O2 as a mediator, this strategy is further exploited for oxidase-based biosensing. As the proof-of-concept, glucose in human serum has been chosen as the model system and has been detected, and its practical applicability has been investigated by assay of real clinical blood samples. Results demonstrate that the proposed strategy has not only good detection capability but also eminent detection performance, such as simplicity and low-cost, holding great potential for constructing effective sensors for biochemical and clinical applications.

Iodide-Responsive Cu–Au Nanoparticle-Based Colorimetric Platform for Ultrasensitive Detection of Target Cancer Cells

Colorimetric analysis is promising in developing facile, fast, and point-of-care cancer diagnosis techniques, but the existing colorimetric cancer cell assays remain problematic because of dissatisfactory sensitivity as well as complex probe design or synthesis. To solve the problem, we here present a novel colorimetric analytical strategy based on iodide-responsive Cu-Au nanoparticles (Cu-Au NPs) combined with the iodide-catalyzed H2O2-TMB (3,3,5,5-tetramethylbenzidine) reaction system. In this strategy, bimetallic Cu-Au NPs prepared with an irregular shape and a diameter of ∼15 nm could chemically absorb iodide, thus indirectly inducing colorimetric signal variation of the H2O2-TMB system. By further utilizing its property of easy biomolecule modification, a versatile colorimetric platform was constructed for detection of any target that could cause the change of Cu-Au NPs concentration via molecular recognition. As proof of concept, an analysis of human leukemia CCRF-CEM cells was performed using aptamer Sgc8c-modified Cu-Au NPs as the colorimetric probe. Results showed that Sgc8c-modified Cu-Au NPs successfully achieved a simple, label-free, cost-effective, visualized, selective, and ultrasensitive detection of cancer cells with a linear range from 50 to 500 cells/mL and a detection limit of 5 cells in 100 μL of binding buffer. Moreover, feasibility was demonstrated for cancer cell analysis in diluted serum samples. The iodide-responsive Cu-Au NP-based colorimetric strategy might not only afford a new design pattern for developing cancer cell assays but also greatly extend the application of the iodide-catalyzed colorimetric system.

dsDNA-templated fluorescent copper nanoparticles: poly(AT-TA)-dependent formation

In this work, poly(AT-TA) is found as the specific sequence composition which contributes to the formation of dsDNA-templated fluorescent copper nanoparticles. The finding will be helpful in wide fields, such as constructing DNA-templated nanodevices and designing biochemical nano-probes.

A facile graphene oxide-based DNA polymerase assay.

The DNA polymerase assay is fundamental for related molecular biology investigations and drug screenings, however, the commonly used radioactive method is laborious and restricted. Herein, we report a novel, simple and cost-effective fluorometric DNA polymerase detection method by utilizing graphene oxide (GO) as a signal switch. In this strategy, in the absence of DNA polymerase, the fluorophore-labeled template ssDNA could be strongly adsorbed and almost entirely quenched by GO. However, as DNA polymerase exists, the polymerized dsDNA product might lead to a much lower quenching efficiency after addition of GO due to the much weaker interaction of dsDNA with GO than ssDNA, thus resulting in a much higher fluorescence signal detected. As proof of concept, the quantitative DNA polymerase activity assay was performed using the Klenow fragment exo(-) (KF(-)) as a model. It was confirmed that, after optimization of detection conditions, KF(-) activity could be sensitively detected through facile fluorescence measurements, with a detection limit of 0.05 U mL(-1) and a good linear correlation between 0.05-2.5 U mL(-1) (R(2) = 0.9928). In addition, this GO-based method was further inspected to evaluate the inhibitive behaviors of several drugs toward KF(-) activity, the result of which firmly demonstrated its potential application in polymerization-targeted drug screening.

Nucleic acid tool enzymes-aided signal amplification strategy for biochemical analysis: status and challenges

AbstractOwing to their highly efficient catalytic effects and substrate specificity, the nucleic acid tool enzymes are applied as ‘nano-tools’ for manipulating different nucleic acid substrates both in the test-tube and in living organisms. In addition to the function as molecular scissors and molecular glue in genetic engineering, the application of nucleic acid tool enzymes in biochemical analysis has also been extensively developed in the past few decades. Used as amplifying labels for biorecognition events, the nucleic acid tool enzymes are mainly applied in nucleic acids amplification sensing, as well as the amplification sensing of biorelated variations of nucleic acids. With the introduction of aptamers, which can bind different target molecules, the nucleic acid tool enzymes-aided signal amplification strategies can also be used to sense non-nucleic targets (e.g., ions, small molecules, proteins, and cells). This review describes and discusses the amplification strategies of nucleic acid tool enzymes-aided biosensors for biochemical analysis applications. Various analytes, including nucleic acids, ions, small molecules, proteins, and cells, are reviewed briefly. This work also addresses the future trends and outlooks for signal amplification in nucleic acid tool enzymes-aided biosensors. Graphical abstractNucleic acid tool enzymes-aided signal amplification sensing