Highly sensitive fluorescent detection of trypsin based on BSA-stabilized gold nanoclusters

In this study, fluorescent metal nanoclusters are presented as novel probes for sensitive detection of protease for the first time. The sensing mechanism is based on trypsin digestion of the protein template of BSA-stabilized Au nanoclusters. The decrease in fluorescence intensity of BSA-Au nanoclusters caused by trypsin allows the sensitive detection of trypsin in the range of 0.01-100 μg/mL. The detection limit for trypsin is 2 ng/mL (86 pM) at a signal-to-noise ratio of 3. The present nanosensor for trypsin detection possesses red emission, excellent biocompatibility, high selectivity, and good stability. In addition, we demonstrated the application of the present approach in real urine samples, which suggested its potential for diagnostic purposes.     

基因编辑产品检测技术研究进展

当前国内外生物技术产业革命加速推进,以基因编辑为代表的转基因新技术发展迅猛,新基因、新性状、新产品不断涌现。围绕基因编辑产品的检测方法将成为转基因生物安全监管的重要一环和有效支撑。因此,基于测序技术、酶切技术、PCR技术和其他检测技术4个方面,总结了目前应用于基因编辑产品检测的一些技术方法,并对每种方法的优缺点进行了分析,以期为今后基因编辑产品的检测提供思路,做好转基因监管技术储备。     

Label-free detection of single nucleotide polymorphisms utilizing the differential transfer function of field-effect transistors

We present a label-free method for the detection of DNA hybridization, which is monitored by non-metallized silicon field-effect transistors (FET) in a microarray approach. The described method enables a fast and fully electronic readout of ex situ binding assays. The label-free detection utilizing the field-effect is based on the intrinsic charge of the DNA molecules and/or on changes of the solid–liquid interface impedance, when biomolecules bind to the sensor surface. With our sensor system, usually a time-resolved, dc readout is used. In general, this FET signal suffers from sensor drift, temperature drift, changes in electrolyte composition or pH value, influence of the reference electrode, etc. In this article, we present a differential ac readout concept for FET microarrays, which enables a stable operation of the sensor against many of these side-parameters, reliable readout and a possibility for a quick screening of large sensor arrays. We present the detection of point mutations in short DNA samples with this method in an ex situ binding assay.     

A portable generic DNA bioassay system based on in situ oligonucleotide synthesis and hybridization detection

In this study, we present a portable and generic DNA bioassay system based on in situ oligonucleotide synthesis followed by hybridization based detection. The system include two main parts, an oligonucleotide synthesizer and a fluorescence detection system. The oligonucleotide synthesizer is based on microfluidic technology and capable of synthesizing any desired oligonucleotide which can be either used as a primer for PCR based detection (external) or a probe for hybridization based detection (integrated) of a target DNA analyte. The oligonucleotide sequence can be remotely sent to the system. The integrated fluorescence detection system is based on a photodiode to detect Texas Red fluorophore as low as 0.5 fmol. The complete system, integrating the oligonucleotide synthesizer and fluorescence detection system, was successfully used to distinguish DNA from two different bacteria strains. The presented generic portable instrument has the potential to detect any desired DNA target sequence in the field. Potential applications are for homeland security and fast responses to emerging bio-threats.     

Using hierarchical models to compare the sensitivity of metabarcoding and qPCR for eDNA detection

Environmental DNA (eDNA) sampling—the detection of intra- or extra-cellular DNA in environmental samples—is a rapid and sensitive survey method for detecting aquatic species. Single-species detection methods (typically based on PCR or LAMP) have been shown to be more sensitive for detecting target species than multi-species detection methods, such as metabarcoding. However, previous studies have generally only compared these two eDNA detection approaches for a single target species and have used different methodological and statistical approaches. Here we present a comparison of single- and multi-species eDNA detection methods, drawing on two published case studies (one fish, one amphibian) and two new extensive datasets on a freshwater mammal (the platypus). To ensure consistent conclusions regarding the sensitivity of each eDNA method, we use the same hierarchical site occupancy-detection model for each dataset, incorporating uncertainty at the site, water sample, and technical replicate level. Overall, qPCR achieved higher detection probabilities than metabarcoding across species and datasets. However, differences in sensitivity between detection methods varied depending on methodological decisions concerning what constitutes a true positive detection (i.e., qPCR and metabarcoding thresholds). The decision as to which eDNA detection method to use should always be influenced by the study aims, but our results suggest that single-species detection methods based on qPCR may be preferable when the aim is to achieve a high detection probability for target species.     

Probability-based particle detection that enables threshold-free and robust in vivo single-molecule tracking

Single-molecule detection in fluorescence nanoscopy has become a powerful tool in cell biology but can present vexing issues in image analysis, such as limited signal, unspecific background, empirically set thresholds, image filtering, and false-positive detection limiting overall detection efficiency. Here we present a framework in which expert knowledge and parameter tweaking are replaced with a probability-based hypothesis test. Our method delivers robust and threshold-free signal detection with a defined error estimate and improved detection of weaker signals. The probability value has consequences for downstream data analysis, such as weighing a series of detections and corresponding probabilities, Bayesian propagation of probability, or defining metrics in tracking applications. We show that the method outperforms all current approaches, yielding a detection efficiency of >70% and a false-positive detection rate of <5% under conditions down to 17 photons/pixel background and 180 photons/molecule signal, which is beneficial for any kind of photon-limited application. Examples include limited brightness and photostability, phototoxicity in live-cell single-molecule imaging, and use of new labels for nanoscopy. We present simulations, experimental data, and tracking of low-signal mRNAs in yeast cells.     

A novel SERRS sandwich-hybridization assay to detect specific DNA target

In this study, we have applied Surface Enhanced Resonance Raman Scattering (SERRS) technology to the specific detection of DNA. We present an innovative SERRS sandwich-hybridization assay that allows specific DNA detection without any enzymatic amplification, such as is the case with Polymerase Chain Reaction (PCR). In some substrates, such as ancient or processed remains, enzymatic amplification fails due to DNA alteration (degradation, chemical modification) or to the presence of inhibitors. Consequently, the development of a non-enzymatic method, allowing specific DNA detection, could avoid long, expensive and inconclusive amplification trials. Here, we report the proof of concept of a SERRS sandwich-hybridization assay that leads to the detection of a specific chamois DNA. This SERRS assay reveals its potential as a non-enzymatic alternative technology to DNA amplification methods (particularly the PCR method) with several applications for species detection. As the amount and type of damage highly depend on the preservation conditions, the present SERRS assay would enlarge the range of samples suitable for DNA analysis and ultimately would provide exciting new opportunities for the investigation of ancient DNA in the fields of evolutionary biology and molecular ecology, and of altered DNA in food frauds detection and forensics.     

Development of DNA microarray for pathogen detection

Pathogens pose a significant threat to humans, animals, and plants. Consequently, a considerable effort has been devoted to developing rapid, convenient, and accurate assays for the detection of these unfavorable organisms. Recently, DNA-microarray based technology is receiving much attention as a powerful tool for pathogen detection. After the target gene is first selected for the unique identification of microorganisms, species-specific probes are designed through bioinformatic analysis of the sequences, which uses the information present in the databases. DNA samples, which were obtained from reference and/or clinical isolates, are properly processed and hybridized with species-specific probes that are immobilized on the surface of the microarray for fluorescent detection. In this study, we review the methods and strategies for the development of DNA microarray for pathogen detection, with the focus on probe design.     

Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids

Molecular beacons are efficient and useful tools for quantitative detection of specific target nucleic acids. Thanks to their simple protocol, molecular beacons have great potential as substrates for biomolecular computing. Here we present a molecular beacon-based biomolecular computing method for quantitative detection and analysis of target nucleic acids. Whereas the conventional quantitative assays using fluorescent dyes have been designed for single target detection or multiplexed detection, the proposed method enables us not only to detect multiple targets but also to compute their quantitative information by weighted-sum of the targets. The detection and computation are performed on a molecular level simultaneously, and the outputs are detected as fluorescence signals. Experimental results show the feasibility and effectiveness of our weighted detection and linear combination method using molecular beacons. Our method can serve as a primitive operation of molecular pattern analysis, and we demonstrate successful binary classifications of molecular patterns made of synthetic oligonucleotide DNA molecules.     

扩增内标及其在食源性致病菌PCR检测中的应用

虽然PCR技术不断地得到了发展和改进,但检测结果容易出现假阴性而影响检测准确性的现象一直没有得到很好的解决。现在大多数学者普遍认为,在PCR体系中加入扩增内标(即一段人工构建合成的DNA序列或者是一段致病菌的看家基因序列)能有效指示假阴性现象的出现,是PCR检测技术标准化的措施之一。本文将从PCR检测方法中假阴性出现的原因、扩增内标的构建以及扩增内标在PCR检测方面的应用三方面进行综合评述,并结合本实验室的工作基础,介绍扩增内标的简捷构建过程和应用要点,希望在不影响检测灵敏度的前提下,发挥扩增内标对假阴性的指示作用。     

Highly efficient single molecule detection in microstructures

For DNA single molecule sequencing, the complete detection of all dye-labeled monomers which are cleaved off during the sequencing reaction is an essential requirement. In this work we address the feasibility of single molecule detection in microstructures with a confocal multi element set-up. We present statistical data on single molecule recognition and explain a refined data evaluation technique for single molecule burst analysis. From these data the signal-to-noise ratio in microstructures is evaluated as well as the overall detection efficiency. So far, detection efficiencies of single molecule events of up to 60% have been shown in microstructures.     

Droplet-based microfluidic platforms for single T cell secretion analysis of IL-10 cytokine

Here we present a microfluidic method for the analysis of single cell secretions. The method co-encapsulates cells with microspheres conjugated with capture antibodies and detection fluorescence-labeled antibodies. The secreted substance captured on the microsphere surface and detected via detection antibodies generating a localized fluorescent signal on a microsphere surface. Using this method, CD4+CD25+ regulatory T cells were encapsulated and assayed to detect IL-10 secreting cell in population.     

Molecular approaches for the detection of Schistosoma mansoni: possible applications in the detection of snail infection, monitoring of transmission sites, and diagnosis of human infection

The detection of specific DNA sequences by polymerase chain reaction (PCR) has proved extremely valuable for the analysis of genetic disorders and the diagnosis of a variety of infectious disease pathogens. However, the application to the detection of Schistosoma mansoni is rare, despite a recommendation of the World Health Organization that a major focus of research on schistosomiasis should be on the development and evaluation of new strategies and tools for control of the disease. In this context, a few studies were published for the detection of the parasite in snails, monitoring of cercariae in water bodies, and diagnosis of human infection. The present minireview describes sensitive and specific PCR based systems to detect S. mansoni, indicating possible applications in the detection of snail infection, monitoring of transmission sites, and diagnosis of human infection.     

Detection of the fish pathogen Flavobacterium psychrophilum in water from fish farms

Rainbow trout fry syndrome and cold-water disease are serious diseases in farmed salmonid fish. In the present study, three methods were compared, for the detection of the causative pathogen, Flavobacterium psychrophilum in water. The methods included traditional agar plate cultivation on tryptone yeast extract salts (TYES) agar, immunofluorescence antibody technique (IFAT) and nested PCR. The three methods were subsequently used for the detection of F. psychrophilum from fish farm environments. The nested PCR was the most sensitive method used for a detection of F. psychrophilum. As low as 3 CFU estimated by agar plate cultivation or 41 cells estimated by IFAT of F. psychrophilum per ml of non-sterile well water were needed for a detection using the nested PCR method. The obtained detection limits for the agar plate cultivation and the IFAT was 32 CFU/ml and 410 cells/ml, respectively. Using IFAT and nested PCR F. psychrophilum was detected most frequently in water samples from fish farms, but the pathogen was isolated from only a few samples using agar plate cultivation. In the present study IFAT and nested PCR proved to be rapid, specific and sensitive methods compared to traditional agar plate cultivation for the detection of F. psychrophilum from environmental samples. It is suggested that IFAT and nested PCR provide effective tools for the examination of F. psychrophilum in the environment.     

Rapid molecular detection of Esteya vermicola based on specific primers and the FTA-DNA extraction method

Esteya vermicola is an endoparasitic fungus of the pinewood nematode and thus has great biocontrol value. At present, the detection of this fungus is still based on microscopic observations and morphological identification, and the sampling is notably inconvenient and inefficient. In the present study, a pair of specific primers (upstream primer, 5′-GTGCCTCTACCAAGACTCGC-3′; downstream primer, 5′-CGCCAAATGTCAAGATCCGC-3′) was designed to detect E. vermicola. The analysis of the PCR amplification and the agarose gel electrophoresis results led to the establishment of a new method for the detection of E. vermicola through the presence of a 176-bp specific fragment. In addition, the use of a FTA-DNA direct extraction method for the detection of E. vermicola was explored. The results suggest that the proposed method can be effectively used for the rapid detection of E. vermicola and may provide important technical support for follow-up studies of the fungus in field experiments.     

Detection of Ostreid Herpesvirus 1 (OsHV-1) DNA in seawater by PCR: influence of water parameters in bioassays

Since 1991, herpesvirus infections have been reported among larvae and juveniles of various bivalves. Most of the studies focused on detection of viral infections of economically important species. However, the persistence of bivalve herpesviruses in the marine environment is poorly documented. The present study concerns the role of seawater parameters in Ostreid Herpesvirus 1 (OsHV-1) detection by polymerase chain reaction (PCR). Viral DNA extracted from purified particles or virions present in infected oyster larvae were detected by PCR after storage in different media at different temperatures. The lowest detection threshold was found using distilled water or Tris EDTA buffer. In seawater, the threshold was higher. The use of sterile media permitted detection of viral DNA stored over a longer period. Storage temperature also had a significant influence on detection, with lower temperatures promoting DNA detection over a longer period. In summary, water parameters such as temperature influenced detection of OsHV-1 DNA by PCR. However, the PCR technique may also be successfully applied to samples in natural seawater. Indeed, the PCR technique permitted detection of naked viral DNA at 100 ng l(-1) in seawater in bioassays.     

Quality control metrics for LC-MS feature detection tools demonstrated on Saccharomyces cerevisiae proteomic profiles

Quantitative proteomic profiling using liquid chromatography-mass spectrometry is emerging as an important tool for biomarker discovery, prompting development of algorithms for high-throughput peptide feature detection in complex samples. However, neither annotated standard data sets nor quality control metrics currently exist for assessing the validity of feature detection algorithms. We propose a quality control metric, Mass Deviance, for assessing the accuracy of feature detection tools. Because the Mass Deviance metric is derived from the natural distribution of peptide masses, it is machine- and proteome-independent and enables assessment of feature detection tools in the absence of completely annotated data sets. We validate the use of Mass Deviance with a second, independent metric that is based on isotopic distributions, demonstrating that we can use Mass Deviance to identify aberrant features with high accuracy. We then demonstrate the use of independent metrics in tandem as a robust way to evaluate the performance of peptide feature detection algorithms. This work is done on complex LC-MS profiles of Saccharomyces cerevisiae which present a significant challenge to peptide feature detection algorithms.     

耐除草剂玉米G1105E-823C定性检测方法

转基因耐除草剂玉米G1105E-823C是经过改造的转mG2-aroA基因耐草甘膦玉米新品系,具有更高的草甘膦耐受性,目前已完成生产性试验,具有重要的产业化应用前景。但目前尚无针对G1105E-823C的转化体特异性检测方法的相关报道,这十分不利于对该品系的检测及监管。基于此,以G1105E-823C转化体特异性序列为靶标,建立了转基因耐除草剂玉米G1105E-823C的普通PCR和实时荧光PCR定性检测方法。结果表明,2种方法均能检测出转基因耐除草剂玉米G1105E-823C转化体成分,且具有较高的特异性。普通PCR检测方法检出限达0.1%,实时荧光PCR检测方法检出限达0.05%。研究建立的2种定性检测方法为转基因耐除草剂玉米G1105E-823C的精准检测提供了新的技术手段,可为农业转基因监管提供技术支撑。     

A DNA biosensor based on peptide nucleic acids on gold surfaces

We present a DNA biosensor based on self-assembled monolayers (SAMs) of thiol-derivatized peptide nucleic acid (PNA) molecules adsorbed on gold surfaces. Previous works have shown that PNA molecules at an optimal concentration can be self-assembled with their molecular axes normal to the surface. In such structural configuration BioSAMs of PNAs maintain their capability for recognizing complementary DNA. We describe the combined use of PM-RAIRS and synchrotron radiation XPS for the detection and spectroscopic characterization of PNA-DNA hybridization process on gold surfaces. RAIRS and XPS are powerful techniques for surface characterization and molecular detection, which do not require a fluorescence labeling of the target. We present a characterization of the spectroscopic IR and XPS features, some of them associated to the phosphate groups of the DNA backbone, as an unambiguous signature of the PNA-DNA heteroduplex formation. The N(1s) XPS core level peak after DNA hybridization is decomposed in curves components, and every component assigned to different chemical species. Therefore, the results obtained by means of two complementary structural characterization techniques encourage the use of PNA-based biosensors for the detection of DNA molecules on natural samples.     

Single bead affinity detection (SINBAD) for the analysis of protein-protein interactions

We present a miniaturized pull-down method for the detection of protein-protein interactions using standard affinity chromatography reagents. Binding events between different proteins, which are color-coded with quantum dots (QDs), are visualized on single affinity chromatography beads by fluorescence microscopy. The use of QDs for single molecule detection allows the simultaneous analysis of multiple protein-protein binding events and reduces the amount of time and material needed to perform a pull-down experiment.