Literature DB >> 28945768

Lateral flow nucleic acid biosensor for sensitive detection of microRNAs based on the dual amplification strategy of duplex-specific nuclease and hybridization chain reaction.

Na Ying1,2, Chuanjing Ju1,3,4, Xiuwei Sun1,5, Letian Li1, Hongbiao Chang1,6, Guangping Song1,7, Zhongyi Li1, Jiayu Wan1, Enyong Dai8.   

Abstract

MicroRNAs (miRNAs) constitute novel biomarkers for various diseases. Accurate and quantitative analysis of miRNA expression is critical for biomedical research and clinical theranostics. In this study, a method was developed for sensitive and specific detection of miRNAs via dual signal amplification based on duplex specific nuclease (DSN) and hybridization chain reaction (HCR). A reporter probe (RP), comprising recognition sequence (3' end modified with biotin) for a target miRNA of miR-21 and capture sequence (5' end modified with Fam) for HCR product, was designed and synthesized. HCR was initiated by partial sequence of initiator probe (IP), the other part of which can hybridize with capture sequence of RP, and was assembled by hairpin probes modified with biotin (H1-bio and H2-bio). A miR-21 triggered cyclical DSN cleavage of RP, which was immobilized to a streptavidin (SA) coated magnetic bead (MB). The released Fam labeled capture sequence then hybridized with the HCR product to generate a detectable dsDNA. This polymer was then dropped on lateral flow strip and positive result was observed. The proposed method allowed quantitative sequence-specific detection of miR-21 (with a detection limit of 2.1 fM, S/N = 3) in a dynamic range from 100 fM to 100 pM, with an excellent ability to discriminate differences in miRNAs. The method showed acceptable testing recoveries for the determination of miRNAs in serum.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28945768      PMCID: PMC5612651          DOI: 10.1371/journal.pone.0185091

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

MicroRNAs (miRNAs) are a class of endogenous, short (19−23 nucleotides) single-stranded non-coding RNAs, which serve as critical regulators of gene expression[1]. They play important roles in diverse physiological processes and diseases[2]. Close associations of abnormal miRNA expression and multiple human diseases, especially cancer have been described[3]. MiRNAs are therefore considered potential targets in disease diagnosis and therapy, representing a class of novel biomarkers for diseases such as cancers, and cardiovascular and autoimmune diseases[4]. Thus, simple, rapid, and sensitive miRNA detection methods are urgently needed for further understanding of the biological functions of miRNAs, as well as early disease diagnosis and treatment. The detection of miRNAs is hampered by their short length, sequence homology among family members, low abundance in total RNA, and susceptibility to degradation[5]. Conventional analytical methods, including Northern blot[6], microarrays and quantitative fluorescence reverse transcription PCR (qRT-PCR)[7], next generation sequencing[8,9] are considered standard methods and widely utilized for miRNA analysis. However, these methods involve elaborate, time-consuming, and expensive processes that require special laboratory equipments[10]. These shortcomings limit their application in point-of-care settings or resource-limited locations. Currently, a variety of novel methods have been developed for miRNA detection, including colorimetric[11,12], fluorescence-based[13,14], bioluminescence-based[15,16], electrochemical[17-19], surface-enhanced Raman spectroscopic[20], surface plasmon resonance[21], Nanopore[22], and mass spectrometric[23] assays. Among them, lateral flow-based colorimetric assay, offers a cost-effective, rapid, and convenient option for miRNA detection with no need of advanced instruments. Nevertheless, lateral flow nucleic acid biosensor (LFNAB) is not satisfactory for miRNA detection due to its poor sensitivity. The duplex specific nuclease (DSN)-mediated signal amplification strategy was recently developed for miRNAs detection, in which the original detection signal could be amplified linearly without changing target miRNA amounts[10]. DSN displays a high preference for cleaving double-stranded DNA as well as DNA in DNA−RNA hybrid molecule, and is not effective towards single-stranded DNA or single/double-stranded RNA. DSN shows a good ability to discriminate between perfectly and non-perfectly matched duplexes, and does not need special recognition sites[24]. DSN is well suitable for the detection of miRNAs based on the characteristic of DNA cleavage in the DNA−miRNA heteroduplex. Due to its unique enzymatic characteristics and great potential application in miRNA detection[10,25,26], DSN has attracted increasing interest. Despite their remarkable advantages, such as simple methodology, fast experimental protocols, and high specificity, the detection limits of DSN-assisted target recycling methods need further improvement for miRNA detection. This could be achieved by introducing a dual signal amplification process. Lv W et al demonstrated that the DSN-assisted dual signal amplification strategy yields a detection limit as low as 7.3 fM based on DNA/2-OMe-RNA chimeric probes (DR-CPs)[26]. Hao N et al reported a dual target-recycling amplification strategy for sensitive detection of microRNAs based on DSN and catalytic hairpin assembly, with a detection limit as low as 5.4 fM[27]. In spite of the high sensitivity of these two works, the application of electrochemiluminecence and fluorescence measurements requires expensive equipments and materials, which limits their use in low-resource settings or small scale laboratory. And in the latter work, the catalytic hairpin assembly, applied as the second amplification, was initiated by the release of the cleaved probes from magnetic beads, which means that the whole detection time is the sum of two amplification processes. However, comparable to other kit detections, the reagents of which can be prepared in advance, this assay may require more time to complete the whole process. Hybridization chain reaction (HCR), a signal enhancement technique that depends on the autonomous self-assembly of two metastable hairpin structures (short DNA fragments) through specific interactions, was used to generate a long nicked DNA double helix[28]. Moreover, HCR is an enzyme-free process, and has been widely applied for DNA detection with PCR-like sensitivity[29-31]. Herein, based on miRNA-initiated DNA cleavage by DSN and HCR cascade signal amplification, a lateral flow nucleic acid biosensor for visual and sensitive detection of miRNAs was developed. In the present work, miR-21 was selected as target miRNA. Hybridization chain reaction, served as the second signal amplification, can be prepared in advance or at the same time with the DSN-assisted first amplification, and this saves a tremendous amount of detection time. The proposed strategy could distinguish various homologous sequences containing as little as a single base mismatch. Meanwhile, thanks to the dual signal amplification strategy, the method allows for detection of the target miRNA in a wide dynamic range of 100 fM to 100 pM and has a detection limit as low as 2.1 fM, rendering this method advantageous for analyzing biological samples. Interestingly, this method was successfully applied for analyzing RNA in serum, demonstrating its potential application in clinical sample analysis.

Materials and methods

Ethics statement

This study was approved by the Institutional Review Board of Academy of Military Medical Sciences. All the data analyzed in this study were de-identified to protect patient confidentiality.

Materials and reagents

HPLC-purified microRNAs, oligonucleotide probes were synthesized by Takara Biotechnology Co. Ltd. (Dalian, China). All oligonucleotide sequences are listed in S1 Table. RNase inhibitor and DEPC-treated water were obtained from Sangon Biotech Co., Ltd. (Shanghai, China). Streptavidin-coated magnetic beads (SA-MB, 0.8 mm in diameter, 10 mg/mL) were purchased from Bangs laboratories, Inc. (USA). DSN was obtained from Newborn Co. Ltd. (Shenzhen, China). SA was purchased from Sangon Biotech Co., Ltd. (Shanghai, China). Colloidal AuNPs were from Hualan Chemical Co., Ltd. (Shanghai, China). Anti-Fam antibodies, bovine serum albumin (BSA)-biotin conjugate, were from Ruiqi Biotech Co., Ltd. (Shanghai, China). The serum specimens were obtained from China-Japan Union Hospital of Jilin University, China. All chemicals were from Sigma-Aldrich, Inc. (Saint Louis, MO, USA) and used without further purification.

Preparation of LFNAB

LFNAB was designed, prepared and assembled as described previously[32], with some modifications. SA was added to 20 nm AuNPs (0.01%, m/v) at a final concentration of 18 μg mL-1 to form colloidal gold particles-streptavidin (AuNPs-SA). The mixture was impregnated on the absorbent pad of the biosensor. The anti-Fam mAb (4 mg mL-1) was coated on the surface of a nitrocellulose (NC) filter membrane at 1 μL/cm as the test line (T line) and BSA-biotin conjugate was coated on the surface of the nitrocellulose membrane at 1 μL/cm as the control line (C line). The concentration of BSA-biotin conjugate was 1.2 mg mL-1. The LFNAB was assembled with the absorbent pad, the NC membrane (in the middle) and absorbent pad and was then cut by the dipstick into 0.5 cm wide, 5 cm long pieces. All the strips were sealed in a plastic bag and stored at room temperature until used.

Procedure for miRNA detection

The target microRNA triggered and DSN assisted signal amplification was prepared as described previously[26], with some modifications. First, 5μL of the prepared SA-MB was washed thrice, and mixed with 10μL reporter probe (50 nM) at room temperature for 1h. After three times washing steps, 10μL DSN reaction mixture containing 1×DSN buffer (50 mM Tris–HCl pH 8.0, 10 mM MgCl2 and 1 mM DTT), 0.2 U DSN, 8 U RNase inhibitor, and different concentrations of target miRNA(the volume of the miRNA sample was 5 μL) was incubated with magnetic beads at 60°C for 60 min. Next, the MBs were separated away from the reaction mixture using a magnetic separation rack, and the solution (10μL) was transferred to a new centrifuge tube. Then, stop buffer (5μL, 20 mM EDTA) was added into the solution and incubated for 15 min. This was followed by addition of 5μL HCR products containing H1-bio (2μM), H2-bio (2μM) and Initiator Probe (0.4μM) for 2 h. Subsequently, the reaction mixture was incubated at room temperature for 15 min prior to the lateral flow strip assay. Twenty microlitres of the final products were applied to the sample pad. During the assay, the solution migrated upward by capillary force; LFNAB data was read after 10 min. Appearance of visible reddish purple lines in both control and test lines was considered to represent positive target miRNA detection. A negative test result was indicated by a reddish purple line solely at the control line. For quantitative analysis, the signal strength of test/control (T/C) lines (peak areas) of the LFNAB was measured using the Image J software[33].

Results and discussion

Principle of the miRNA assay

The principle behind the miRNA assay based on functional magnetic beads and DSN-assisted dual signal amplification is described in detail in Fig 1. A report probe (RP), labeled with a biotin group at the 3′ terminus and a Fam group at the 5′ terminus, consisting of a target miRNA recognition DNA sequence (3′ end) and a capture sequence (5′ end) for HCR products was rationally designed, This probe was first attached to the surface of SA-coated MBs through biotin-SA interaction. Upon addition of target miRNA to the reaction, it hybridized with the report probe to form a RP/miRNA duplex. Once the DNA/RNA heteroduplex was formed, the target recognition sequence was selectively hydrolyzed by DSN. As a result, Fam-labeled capture sequence was released from SA-MB, forming a target-recycling amplification. Afterwards, the MBs together with unreacted RPs were separated away from the reaction mixture using a magnetic separation rack. The supernatant was followed by the addition of biotins labeled HCR polymer and the released capture sequences hybridized with the rest of IP to form Fam-labeled polymers as a signal output.
Fig 1

Schematic representation of the dual target-recycling amplification strategy for sensitive detection of microRNAs based on duplex-specific nuclease and hybridization chain reaction with lateral flow assay.

The explanations of all acronyms were listed as follows: H1-bio, Hairpin probe1-biotin; SA-MB, Streptavidin-magnetic bead; AuNPs, Au nanoparticles; SA-AuNPs, Streptavidin-Au nanoparticles; BSA, bovine serum albumin; DSN, duplex specific nuclease; FAM, fluorescein isothiocyanates; anti-Fam mAb, anti-FAM- monoclonal antibody.

Schematic representation of the dual target-recycling amplification strategy for sensitive detection of microRNAs based on duplex-specific nuclease and hybridization chain reaction with lateral flow assay.

The explanations of all acronyms were listed as follows: H1-bio, Hairpin probe1-biotin; SA-MB, Streptavidin-magnetic bead; AuNPs, Au nanoparticles; SA-AuNPs, Streptavidin-Au nanoparticles; BSA, bovine serum albumin; DSN, duplex specific nuclease; FAM, fluorescein isothiocyanates; anti-Fam mAb, anti-FAM- monoclonal antibody. Visual detection of the formed polymers was performed using the LFNAB. SA-AuNPs and the anti-Fam mAb were pre-immobilized on the conjugate pad and test zone of the LFNAB, respectively. Biotins were pre-immobilized on the control zone. The LFNAB’s sample pad was dipped into the mixture of running buffer and sample solution containing the polymers. When the solution migrated by capillary action and passed the conjugate pad, it rehydrated the SA-AuNP conjugates. The numerous biotin-attached double-helix DNAs of the polymers reacted with SA on the AuNP surface to form HCR-biotinSA-AuNP complexes, which continued to migrate along the strip. The complexes were then captured on the test zone through specific reactions between the anti-Fam mAb (on test zone) and Fam-labeled initiator sequence of the complexes. AuNP accumulation in the test zone was visualized as a characteristic red band. The excess SA-AuNP conjugates continued to move, and were captured on the control zone via reactions between biotin and SA on the AuNP surface, thus forming a second red band. The presence of target miRNAs was determined by test line’s color, and semi-quantitative detection of the target microRNA was based on the color depth of the detection line. In the absence of target miRNA, RPs were not hydrolyzed by DSN, and no capture sequence fragments were released to capture biotins-labeled HCR polymers; therefore, no red band was observed in the test zone.

Optimal assay conditions

RP concentration

During the experiment, we find that a high concentration of RP results in enhanced hybridization efficiency for HCR, but is also accompanied by a high background signal in the absence of target miRNA. This may be accounted for the instability between the overmuch RP and magnetic beads. Therefore, the concentration of the RP should be optimized. Interestingly, the peak area ratio of test line to control line (PT/PC) for evaluating miR-21 levels was more precious because it eliminated the effects of immunoreaction dynamics parameters (the efficiencies of antibody-antigen interactions on test line and control line) [34]. As shown in Fig 2, background signals decreased as RP probe concentrations decreased from 80 to 50 nM. At a RP amount of 50 nM, no red line was observed on the strip in the absence of the target. In addition, the signal showed the highest value in the present of the target miRNA (100pM, 5μL). Thus, 50 nM of RP was used in subsequent experiments.
Fig 2

Effect of report probe concentration on response of the strip biosensor.

PT and PC are peak areas of test and control lines, respectively. The histograms represent PT/PC values in the presence of 100 pM miR-21 (blue) and without miR-21 (purple), respectively. Error bars are standard deviations from three repetitive experiments.

Effect of report probe concentration on response of the strip biosensor.

PT and PC are peak areas of test and control lines, respectively. The histograms represent PT/PC values in the presence of 100 pM miR-21 (blue) and without miR-21 (purple), respectively. Error bars are standard deviations from three repetitive experiments.

DSN temperature

For the whole assay, the reaction temperature is a crucial factor influencing both DSN activity and the stability of RNA/DNA hybrid duplexes. Thus, as an essential experimental factor, the effect of reaction temperature on response of the strip biosensor was first assessed by detecting 100 pM miR-21 at different temperatures (45°C, 50°C, 55°C, 60°C, 65°C and 70°C). A blank sample (without miR-21) at each temperature was setup at the same conditions. As shown in Fig 3, PT/PC of the strip increased with reaction temperature ranging between 45°C and 60°C in the presence of 100 pM miR-21, and slightly decreased at 60°C to 70°C (blue histogram in Fig 3). Furthermore, the background (green histogram, no miR-21) was slightly increased with temperature. Therefore, 60°C was considered the optimal reaction temperature.
Fig 3

Effect of reaction temperature on response of the strip biosensor.

The histograms represent PT/PC values in the presence of 100 pM miR-21 (blue) and without miR-21 (green), respectively. PT and PC are peak areas of test and control lines, respectively. Error bars are standard deviations from three independent measurements.

Effect of reaction temperature on response of the strip biosensor.

The histograms represent PT/PC values in the presence of 100 pM miR-21 (blue) and without miR-21 (green), respectively. PT and PC are peak areas of test and control lines, respectively. Error bars are standard deviations from three independent measurements.

DSN incubation time

The process of signal amplification was strongly affected by incubation time of DSN. As shown in Fig 4, optical response increased gradually with incubation time (in the presence of 100 pM or 10 pM miR-21) at the early stage, peaking at 60 min; afterward, the same level was maintained, before a decrease occurred at 120 min. When the incubation time was over 120min, the released and FAM-labeled sequence for hybridization with HCR products may be digested, which may lead to the decreased signal. Therefore, 60 min was employed as optimal incubation time.
Fig 4

Effect of incubation time on response of the strip biosensor.

PT/PC values were obtained by detecting 100 pM miR-21 (blue) and 10 pM miR-21 (green), respectively. Error bars are standard deviations from three independent measurements.

Effect of incubation time on response of the strip biosensor.

PT/PC values were obtained by detecting 100 pM miR-21 (blue) and 10 pM miR-21 (green), respectively. Error bars are standard deviations from three independent measurements.

Assay sensitivity

We subsequently assessed the sensitivity of the proposed method by measuring miR-21 at various concentrations under optimal conditions. As shown in Fig 5(A), test line intensity gradually increased with miR-21 concentrations in the range of 10fM–100 nM(the volume of all target solution was 5μL). Fig 5(B) The logarithmic plot of miR-21 concentration vs. PT/PC value was linear in a wide range of miR-21 concentrations, from 100 fM to 100 pM. The calculated limit of detection (LOD) was 2.1 fM according to the rule of three standard deviations. Linear regression analysis of detection data yielded the following equation: PT/PC = 0.34763+0.20132 logC, where PT/PC is the peak ratio of test line/control line, and C is miRNA-21 concentration in pM.
Fig 5

(A) Photographs of detection results of strips with different miR-21 concentrations. (Left) Images were recorded with a scanner. (Right) Corresponding optical responses of red bands on the strip. Peak areas were analyzed with the Image J software. (B) Calibration curve of miR-21 sensing system. The curve was plotted as PT/PC vs logarithmic value of miR-21 concentration. Inset shows a linear relationship between PT/PC and the logarithm of miR-21 concentration. PT and PC are peak areas of test and control lines, respectively. Error bars are standard deviations from three independent measurements.

(A) Photographs of detection results of strips with different miR-21 concentrations. (Left) Images were recorded with a scanner. (Right) Corresponding optical responses of red bands on the strip. Peak areas were analyzed with the Image J software. (B) Calibration curve of miR-21 sensing system. The curve was plotted as PT/PC vs logarithmic value of miR-21 concentration. Inset shows a linear relationship between PT/PC and the logarithm of miR-21 concentration. PT and PC are peak areas of test and control lines, respectively. Error bars are standard deviations from three independent measurements. In this technique, sensitivity was improved by as much as 3 orders of magnitude compared to that of the DNA-gold nanoparticle probe-based assay[10], and 2 orders of magnitude compared to that of the molecular beacon-based method[35]. In addition, the sensitivity of this method was the same order of magnitude as those of dual target-recycling amplification assay based on DSN and catalytic hairpin assembly (LOD:5.4 fM)[27] and DSN-assisted dual signal amplification assay (LOD:7.3 fM)[26]. The high sensitivity achieved by these method mainly relied on cascade amplification and the strong cleavage activity of DSN. However, the above methods use electrochemical and fluorescent assays. These techniques require specific instruments and the test procedures are complicated and are not applicable for POC tests. In the present study, colorimetric analysis is a simple process because samples can be monitored with the naked eye. In addition, colorimetric assays are amenable to point-of-care (POC) testing. The whole procedure can be completed in 150min (HCR products can be prepared in advance).

Specificity

Due to short length and sequence similarity among miRNAs, a challenge for miRNA assays is the ability to identify individual members. Specificity of the miRNA assay was evaluated by detecting a target sequence and single-, two, three, and four bases mismatched sequences (S2 Table). After repeated testing, positive results were only obtained with target DNA, while no red line was observed with the mismatch RNAs (Fig 6). These results demonstrated that the proposed technique is particularly attractive for detecting specific miRNA sequences.
Fig 6

Selectivity of the strip biosensor for miR-21 over competing sequences.

Concentrations were 10 nM for miR-21 and 10 nM for other sequences.

Selectivity of the strip biosensor for miR-21 over competing sequences.

Concentrations were 10 nM for miR-21 and 10 nM for other sequences.

Assays for exogenous miRNA spiked into serum

The commonly-used biosensors are usually inefficient when detecting proteins in complex biological samples (such as serum), since the natural system contain ubiquitous endogenous components producing a high signal background. Here, we assessed the ability of this sensor to detect target miRNA in human serum. Serum was used instead of hybridization buffer to achieve the desired concentrations of the target miR-21 (1, 10, and 100 pM) and other steps were same to the miRNA detection in buffer solution. PT/PC was measured in five replicates, and shown in S3 Table as averages and respective RSD percentages. MiR-21 concentration in freshly-collected serum samples was assumed to be zero, because its concentration in serum from non-cancerous individuals is lower than the detection limit obtained in the newly-developed assay. These results showed that the interference of serum could be overcome. This result indicated that this strategy had a promise in practical application with great accuracy and reliability for miRNA detection.

Conclusion

In summary, lateral flow immunoassay biosensor for detecting miRNAs based on dual amplification strategy of duplex-specific nuclease and hybridization chain reaction offers a versatile platform for rapid, sensitive, and practical detection of miRNAs. First, the whole detection process can be accomplished in 2.5h with simple steps. Second, dual signal amplification greatly increases sensitivity and lower the limit of detection to as low as 2.1 fM. Furthermore, the assay exhibits an excellent discriminatory ability even for highly similar miRNA sequences with a single base difference. Finally, this protocol is successfully implemented for serum samples. Thus, this system is promising for application in biological research and clinical diagnosis.

The sequences used are as follows (5’-3’).

In RP, complementary sequence for miR-21 is underlined, capture sequence is italicized; In IP, initiator sequence for HCR is bold, complementary sequence for capture sequence is italicized. (DOC) Click here for additional data file. (DOC) Click here for additional data file.

Analysis of miR-21 in serum by the strip biosensor.

(DOC) Click here for additional data file.
  33 in total

1.  One-step, multiplexed fluorescence detection of microRNAs based on duplex-specific nuclease signal amplification.

Authors:  Bin-Cheng Yin; Yu-Qiang Liu; Bang-Ce Ye
Journal:  J Am Chem Soc       Date:  2012-03-08       Impact factor: 15.419

2.  In Situ Electrochemical Generation of Electrochemiluminescent Silver Naonoclusters on Target-Cycling Synchronized Rolling Circle Amplification Platform for MicroRNA Detection.

Authors:  Anyi Chen; Shaoyong Ma; Ying Zhuo; Yaqin Chai; Ruo Yuan
Journal:  Anal Chem       Date:  2016-02-29       Impact factor: 6.986

3.  Backbone-modified molecular beacons for highly sensitive and selective detection of microRNAs based on duplex specific nuclease signal amplification.

Authors:  Xiaoyan Lin; Cheng Zhang; Yishun Huang; Zhi Zhu; Xi Chen; Chaoyong James Yang
Journal:  Chem Commun (Camb)       Date:  2013-07-10       Impact factor: 6.222

4.  Enzyme-free colorimetric detection of DNA by using gold nanoparticles and hybridization chain reaction amplification.

Authors:  Pei Liu; Xiaohai Yang; Shan Sun; Qing Wang; Kemin Wang; Jin Huang; Jianbo Liu; Leiliang He
Journal:  Anal Chem       Date:  2013-08-09       Impact factor: 6.986

5.  Absolute and direct microRNA quantification using DNA-gold nanoparticle probes.

Authors:  Federica Degliangeli; Prakash Kshirsagar; Virgilio Brunetti; Pier Paolo Pompa; Roberto Fiammengo
Journal:  J Am Chem Soc       Date:  2014-02-03       Impact factor: 15.419

6.  The rapid detection of microRNA based on p19-enhanced fluorescence polarization.

Authors:  Yuan-Chen He; Bin-Cheng Yin; Lihua Jiang; Bang-Ce Ye
Journal:  Chem Commun (Camb)       Date:  2014-04-30       Impact factor: 6.222

7.  Label-free and enzyme-free colorimetric detection of microRNA by catalyzed hairpin assembly coupled with hybridization chain reaction.

Authors:  Hao Wu; Yaling Liu; Hongyong Wang; Jun Wu; Feifan Zhu; Pei Zou
Journal:  Biosens Bioelectron       Date:  2016-03-09       Impact factor: 10.618

8.  A network signal amplification strategy of ultrasensitive photoelectrochemical immunosensing carcinoembryonic antigen based on CdSe/melamine network as label.

Authors:  Jiaojiao Li; Yong Zhang; Xuan Kuang; Zhiling Wang; Qin Wei
Journal:  Biosens Bioelectron       Date:  2016-05-31       Impact factor: 10.618

9.  Duplex-specific nuclease efficiently removes rRNA for prokaryotic RNA-seq.

Authors:  Hana Yi; Yong-Joon Cho; Sungho Won; Jong-Eun Lee; Hyung Jin Yu; Sujin Kim; Gary P Schroth; Shujun Luo; Jongsik Chun
Journal:  Nucleic Acids Res       Date:  2011-08-31       Impact factor: 16.971

10.  A ten-microRNA signature identified from a genome-wide microRNA expression profiling in human epithelial ovarian cancer.

Authors:  Lin Wang; Miao-Jun Zhu; Ai-Min Ren; Hong-Fei Wu; Wu-Mei Han; Ruo-Ying Tan; Rui-Qin Tu
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

View more
  4 in total

1.  Catalytic hairpin assembly-assisted lateral flow assay for visual determination of microRNA-21 using gold nanoparticles.

Authors:  Wenjing Wang; Axiu Nie; Zhicheng Lu; Jinjie Li; Mingbo Shu; Heyou Han
Journal:  Mikrochim Acta       Date:  2019-08-30       Impact factor: 5.833

Review 2.  Recent advances in sensitivity enhancement for lateral flow assay.

Authors:  Yulin Deng; Hao Jiang; Xiaoqiong Li; Xuefei Lv
Journal:  Mikrochim Acta       Date:  2021-10-13       Impact factor: 5.833

Review 3.  Extracellular Vesicles: Current Analytical Techniques for Detection and Quantification.

Authors:  Esther Serrano-Pertierra; Myriam Oliveira-Rodríguez; María Matos; Gemma Gutiérrez; Amanda Moyano; María Salvador; Montserrat Rivas; María Carmen Blanco-López
Journal:  Biomolecules       Date:  2020-05-28

Review 4.  From Point-of-Care Testing to eHealth Diagnostic Devices (eDiagnostics).

Authors:  Dionysios C Christodouleas; Balwinder Kaur; Parthena Chorti
Journal:  ACS Cent Sci       Date:  2018-11-20       Impact factor: 14.553

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.