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Dive into the research topics where Hongju Mao is active.

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Featured researches published by Hongju Mao.


Biosensors and Bioelectronics | 2010

QDs-DNA nanosensor for the detection of hepatitis B virus DNA and the single-base mutants

Xiang Wang; Xinhui Lou; Yi Wang; Qingchuan Guo; Zheng Fang; Xinhua Zhong; Hongju Mao; Qinghui Jin; Lei Wu; Hui Zhao; Jianlong Zhao

We report here a quantum dots-DNA (QDs-DNA) nanosensor based on fluorescence resonance energy transfer (FRET) for the detection of the target DNA and single mismatch in hepatitis B virus (HBV) gene. The proposed one-pot DNA detection method is simple, rapid and efficient due to the elimination of the washing and separation steps. In this study, the water-soluble CdSe/ZnS QDs were prepared by replacing the trioctylphosphine oxide (TOPO) on the surface of QDs with 3-mercaptopropionic acid (MPA). Subsequently, oligonucleotides were attached to the QDs surface to form functional QDs-DNA conjugates. Along with the addition of DNA targets and Cy5-modified signal DNAs into the QDs-DNA conjugates, sandwiched hybrids were formed. The resulting assembly brings the Cy5 fluorophore, the acceptor, and the QDs, the donor, into proximity, leading to fluorescence emission from the acceptor by means of FRET on illumination of the donor. In order to efficiently detect single-base mutants in HBV gene, oligonucleotide ligation assay was employed. If there existed a single-base mismatch, which could be recognized by the ligase, the detection probe was not ligated and no Cy5 emission was produced due to the lack of FRET. The feasibility of the proposed method was also demonstrated in the detection of synthetic 30-mer oliginucleotide targets derived from the HBV with a sensitivity of 4.0nM by using a multilabel counter. The method enables a simple and efficient detection that could be potentially used for high throughput and multiplex detections of target DNA and the mutants.


Molecular Pharmacology | 2007

Identification of Key Residues Coordinating Functional Inhibition of P2X7 Receptors by Zinc and Copper

Xing Liu; Annmarie Surprenant; Hongju Mao; Sébastien Roger; Rong Xia; Helen Bradley; Lin-Hua Jiang

P2X7 receptors are distinct from other ATP-gated P2X receptors in that they are potently inhibited by submicromolar concentrations of zinc and copper. The molecular basis for the strong functional inhibition by zinc and copper at this purinergic ionotropic receptor is controversial. We hypothesized that it involves a direct interaction of zinc and copper with residues in the ectodomain of the P2X7 receptor. Fourteen potential metal interacting residues are conserved in the ectodomain of all mammalian P2X7 receptors, none of which is homologous to previously identified sites in other P2X receptors shown to be important for functional potentiation by zinc. We introduced alanine substitutions into each of these residues, expressed wild-type and mutated receptors in human embryonic kidney 293 cells, and recorded resulting ATP and BzATP-evoked membrane currents. Agonist concentration-response curves were similar for all 12 functional mutant receptors. Alanine substitution at His62 or Asp197 strongly attenuated both zinc and copper inhibition, and the double mutant [H62A/D197A] mutant receptor was virtually insensitive to inhibition by zinc or copper. Thus, we conclude that zinc and copper inhibition is due to a direct interaction of these divalent cations with ectodomain residues of the P2X7 receptor, primarily involving combined interaction with His62 and Asp197 residues.


Biosensors and Bioelectronics | 2014

Multi-nanomaterial electrochemical biosensor based on label-free graphene for detecting cancer biomarkers

Bing Jin; Ping Wang; Hongju Mao; Bing Hu; Honglian Zhang; Zule Cheng; Zhenhua Wu; Xiaojun Bian; Chunping Jia; Fengxiang Jing; Qinghui Jin; Jianlong Zhao

Developing a rapid, accurate and sensitive electrochemical biosensor for detecting cancer biomarkers is important for early detection and diagnosis. This work reports an electrochemical biosensor based on a graphene (GR) platform which is made by CVD, combined with magnetic beads (MBs) and enzyme-labeled antibody-gold nanoparticle bioconjugate. MBs coated with capture antibodies (Ab1) were attached to GR sheets by an external magnetic field, to avoid reducing the conductivity of graphene. Sensitivity was also enhanced by modifying the gold nanoparticles (AuNPs) with horseradish peroxidase (HRP) and the detection antibody (Ab2), to form the conjugate Ab2-AuNPs-HRP. Electron transport between the electrode and analyte target was accelerated by the multi-nanomaterial, and the limit of detection (LOD) for carcinoembryonic antigen (CEA) reached 5 ng mL(-1). The multi-nanomaterial electrode GR/MBs-Ab1/CEA/Ab2-AuNPs-HRP can be used to detect biomolecules such as CEA. The EC biosensor is sensitive and specific, and has potential in the detection of disease markers.


Biosensors and Bioelectronics | 2015

A microfluidic chip integrated with a high-density PDMS-based microfiltration membrane for rapid isolation and detection of circulating tumor cells.

Xiaoyun Fan; Chunping Jia; Jun Yang; Gang Li; Hongju Mao; Qinghui Jin; Jianlong Zhao

Isolation of circulating tumor cells (CTCs) by size exclusion is a widely researched technique that offers the advantage of capturing tumor cells without reliance on cell surface expression markers. In this work, we report the development of a novel polydimethylsiloxane (PDMS) membrane filter-based microdevice for rapid and highly efficient isolation of CTCs from peripheral blood. A precise and highly porous PDMS microfilter was fabricated and integrated into the microfiltration chip by combining a sacrificial transferring film with a sandwich molding method. We achieved >90% recovery when isolating lung cancer cells from spiked blood samples, with a relatively high processing throughput of 10 mL/h. In contrast to existing CTC filtration systems, which rely on low-porosity track-etch filters or expensive lithography-based filters, our microfiltration chip does not require complex e-beam lithography or the reactive ion etching process, therefore it offers a low-cost alternative tool for highly efficient CTC enrichment and in situ analysis. Thus, this new microdevice has the potential for use in routine monitoring of cancer development and cancer therapy in a clinical setting.


Nano Letters | 2013

Signal-to-Noise Ratio Enhancement of Silicon Nanowires Biosensor with Rolling Circle Amplification

Anran Gao; Nengli Zou; Pengfei Dai; Na Lu; Tie Li; Yuelin Wang; Jianlong Zhao; Hongju Mao

Herein, we describe a novel approach for rapid, label-free and specific DNA detection by applying rolling circle amplification (RCA) based on silicon nanowire field-effect transistor (SiNW-FET) for the first time. Highly responsive SiNWs were fabricated with a complementary metal oxide semiconductor (CMOS) compatible anisotropic self-stop etching technique which eliminated the need for hybrid method. The probe DNA was immobilized on the surface of SiNW, followed by sandwich hybridization with the perfectly matched target DNA and RCA primer that acted as a primer to hybridize the RCA template. The RCA reaction created a long single-stranded DNA (ssDNA) product and thus enhanced the electronic responses of SiNW significantly. The signal-to-noise ratio (SNR) as a figure-of-merit was analyzed to estimate the signal enhancement and possible detection limit. The nanosensor showed highly sensitive concentration-dependent conductance change in response to specific target DNA sequences. Because of the binding of an abundance of repeated sequences of RCA products, the SNR of >20 for 1 fM DNA detection was achieved, implying a detection floor of 50 aM. This RCA-based SiNW biosensor also discriminated perfectly matched target DNA from one-base mismatched DNA with high selectivity due to the substantially reduced nonspecific binding onto the SiNW surface through RCA. The combination of SiNW FET sensor with RCA will increase diagnostic capacity and the ability of laboratories to detect unexpected viruses, making it a potential tool for early diagnosis of gene-related diseases.


Journal of Biological Chemistry | 2008

Identification of Pore Residues Engaged in Determining Divalent Cationic Permeation in Transient Receptor Potential Melastatin Subtype Channel 2

Rong Xia; Zhu-Zhong Mei; Hongju Mao; Wei Yang; Li Dong; Helen Bradley; David J. Beech; Lin-Hua Jiang

The molecular basis for divalent cationic permeability in transient receptor potential melastatin subtype (TRPM) channels is not fully understood. Here we studied the roles of all eight acidic residues, glutamate or aspartate, and also the glutamine residue between pore helix and selectivity filter in the pore of TRPM2 channel. Mutants with alanine substitution in each of the acidic residues, except Glu-960 and Asp-987, formed functional channels. These channels exhibited similar Ca2+ and Mg2+ permeability to wild type channel, with the exception of the E1022A mutant, which displayed increased Mg2+ permeability. More conservative E960Q, E960D, and D987N mutations also led to loss of function. The D987E mutant was functional and showed greater Ca2+ permeability along with concentration-dependent inhibition of Na+-carrying currents by Ca2+. Incorporation of negative charge in place of Gln-981 between the pore helix and selectivity filter by changing it to glutamate, which is present in the more Ca2+-permeable TRPM channels, substantially increased Ca2+ permeability. Expression of concatemers linking wild type and E960D mutant subunits resulted in functional channels that exhibited reduced Ca2+ permeability. These data taken together suggest that Glu-960, Gln-981, Asp-987, and Glu-1022 residues are engaged in determining divalent cationic permeation properties of the TRPM2 channel.


Biosensors and Bioelectronics | 2011

Label-free optical detection of single-base mismatches by the combination of nuclease and gold nanoparticles

Meiying Liu; Min Yuan; Xinhui Lou; Hongju Mao; Dongmei Zheng; Ruxing Zou; Nengli Zou; Xiangrong Tang; Jianlong Zhao

We report here an optical approach that enables highly selective and colorimetric single-base mismatch detection without the need of target modification, precise temperature control or stringent washes. The method is based on the finding that nucleoside monophosphates (dNMPs), which are digested elements of DNA, can better stabilize unmodified gold nanoparticles (AuNPs) than single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA) with the same base-composition and concentration. The method combines the exceptional mismatch discrimination capability of the structure-selective nucleases with the attractive optical property of AuNPs. Taking S1 nuclease as one example, the perfectly matched 16-base synthetic DNA target was distinctively differentiated from those with single-base mutation located at any position of the 16-base synthetic target. Single-base mutations present in targets with varied length up to 80-base, located either in the middle or near to the end of the targets, were all effectively detected. In order to prove that the method can be potentially used for real clinic samples, the single-base mismatch detections with two HBV genomic DNA samples were conducted. To further prove the generality of this method and potentially overcome the limitation on the detectable lengths of the targets of the S1 nuclease-based method, we also demonstrated the use of a duplex-specific nuclease (DSN) for color reversed single-base mismatch detection. The main limitation of the demonstrated methods is that it is limited to detect mutations in purified ssDNA targets. However, the method coupled with various convenient ssDNA generation and purification techniques, has the potential to be used for the future development of detector-free testing kits in single nucleotide polymorphism screenings for disease diagnostics and treatments.


Biosensors and Bioelectronics | 2015

Absolute quantification of lung cancer related microRNA by droplet digital PCR.

Ping Wang; Fengxiang Jing; Gang Li; Zhenhua Wu; Zule Cheng; Jishen Zhang; Honglian Zhang; Chunping Jia; Qinghui Jin; Hongju Mao; Jianlong Zhao

Digital polymerase chain reaction (digital PCR) enables the absolute quantification of nucleic acids through the counting of single molecules, thus eliminating the need for standard curves or endogenous controls. In this study, we developed a droplet digital PCR (ddPCR) system based on an oil saturated PDMS (OSP) microfluidic chip platform for quantification of lung cancer related microRNA (miRNA). The OSP chip was made with PDMS and was oil saturated to constrain oil swallow and maintain the stability of droplets. Two inlets were designed for oil and sample injection with a syringe pump at the outlet. Highly uniform monodisperse water-in-oil emulsion droplets to be used for subsequent detection and analysis were generated at the cross section of the channel. We compared miRNA quantification by the ddPCR system and quantitative real-time PCR (qPCR) to demonstrate that the ddPCR system was superior to qPCR both in its detection limit and smaller fold changes measurement. This droplet PCR system provides new possibilities for highly sensitive and efficient detection of cancer-related genes.


Clinical Chemistry | 2011

Simultaneous Detection of High-Sensitivity Cardiac Troponin I and Myoglobin by Modified Sandwich Lateral Flow Immunoassay: Proof of Principle

Jimin Zhu; Nengli Zou; Danian Zhu; Jin Wang; Qinghui Jin; Jianlong Zhao; Hongju Mao

BACKGROUND Although numerous lateral flow immunoassays (LFIAs) have been developed and widely used, inadequate analytical sensitivity and the lack of multiple protein detection applications have limited their clinical utility. We developed a new LFIA device for the simultaneous detection of high-sensitivity cardiac troponin I (hs-cTnI) and myoglobin (Myo). METHODS We used a gold nanoparticle (AuNP) doubly labeled complex, in which biotinylated single-stranded DNA was used as a linkage to integrate 2 AuNPs and streptavidin-labeled AuNP, as an amplifier to magnify extremely low signals. RESULTS The detection limit of 1 ng/L achieved for hs-cTnI was 1000 times lower than that obtained in a conventional LFIA. The detection limit for simultaneously measured Myo was 1 μg/L. The linear measurement ranges for hs-cTnI and Myo were 1-10 000 ng/L and 1-10 000 μg/L, respectively. We observed concordant results between the LFIA and clinical assays in sera from 12 patients with acute myocardial infarction (hs-cTnI r = 0.96; Myo r = 0.98). Assay imprecision was <11% for both hs-TnI and myo. CONCLUSIONS The described proof-of-principle LFIA method could be used as a point-of-care device in multiple protein quantification and semiquantitative analysis.


Clinical Lung Cancer | 2015

Early Detection of Lung Cancer in Serum by a Panel of MicroRNA Biomarkers

Ping Wang; Dawei Yang; Honglian Zhang; Xuyu Wei; Tianle Ma; Zule Cheng; Qunying Hong; Jie Hu; Hanjing Zhuo; Yuanlin Song; Chunping Jia; Fengxiang Jing; Qinghui Jin; Chunxue Bai; Hongju Mao; Jianlong Zhao

INTRODUCTION The objective of the study was to develop a panel of microRNAs (miRNAs) as highly sensitive and specific biomarkers for lung cancer early detection. MATERIALS AND METHODS The study contained 2 phases: first, preliminary marker selection based on previous reports on the serum of 24 early stage lung cancer patients and 24 healthy control subjects by TaqMan probe-based real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR); and second, validation of miRNA markers on 94 early stage lung cancer, 48 stage III to IV lung cancer, and 111 healthy control serum samples. RESULTS A total of 3 miRNAs (miR-125a-5p, miR-25, and miR-126) were selected for further analysis in this study. The combination of the 3 miRNAs could produce 0.936 area under the receiver operating characteristic curve value in distinguishing early stage lung cancer patients from control subjects with 87.5% sensitivity and 87.5% specificity, respectively. The diagnostic value of the miRNA panel in an independent set of lung cancer patients confirmed the sensitivity and specificity. CONCLUSION The results demonstrated that the panel of miRNA biomarkers had the potential for the early detection of lung cancer.

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Jianlong Zhao

Chinese Academy of Sciences

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Qinghui Jin

Chinese Academy of Sciences

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Honglian Zhang

Chinese Academy of Sciences

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Chunping Jia

Chinese Academy of Sciences

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Zhenhua Wu

Chinese Academy of Sciences

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Zule Cheng

Chinese Academy of Sciences

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Ping Wang

Chinese Academy of Sciences

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Lin Zhou

Chinese Academy of Sciences

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Yanan Bai

Chinese Academy of Sciences

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Fengxiang Jing

Chinese Academy of Sciences

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