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Biosensing using hairpin DNA probes

  • Jiahao Huang

    Jiahao Huang received his MS in biomedical engineering (2010) and BS in biotechnology (2007) from Hunan University, P.R. China. Currently, he is a PhD candidate in the Department of Mechanical and Aerospace Engineering at The Hong Kong University of Science and Technology. His research interests are in the field of DNA-based optical biosensors.

    , Jueqi Wu

    Jueqi Wu received her BS in environmental engineering (2012) from Sun Yat-sen University, P.R. China. She is a MPhil. student in the Environmental Engineering Program at The Hong Kong University of Science and Technology. Her research areas include the applications of metal particles and biosensors in environmental science.

    and Zhigang Li

    Zhigang Li received his PhD in mechanical engineering (2005) from the University of Delaware, USA, and his MEng in thermal engineering (1999) from Tsinghua University, P.R. China. He is now an Associate Professor in the Department of Mechanical and Aerospace Engineering at The Hong Kong University of Science and Technology. His research interests mainly focus on micro/nano-fluidics, microscale/nanoscale transport phenomena, and biodetection.

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Published/Copyright: September 12, 2015
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Abstract

Hairpin DNA probes (HDPs) are specially designed single-stranded DNA and have excellent sensing specificity. The past decade has witnessed the fast development of HDP-based biosensors due to the tremendous applications in biology, medicine, environmental science, and engineering. Their detectable targets include nucleic acids, proteins, small molecules, and metal ions. In this review, we summarize the recent progress in HDP-based biosensors by categorizing them into molecular beacon (MB)-based sensing in homogeneous systems and other HDP-based solid-state sensors. The basic design of MBs with diverse signaling pairs is introduced first. Then, various detectable targets and the detection principles of all HDP-based biosensors are extensively discussed. Furthermore, the methods for amplifying the response signal and improving the detection performance are covered. Finally, the limitations and possible solutions about the sensors are discussed.

Introduction

Nucleic acid-based biosensors have received great attention in the past decade (Willner et al. 2008). Nucleic acids are promising molecular probes due to the ease of chemical synthesis and functional modification, the specificity for base pairing, and the predictability for intermolecular or intramolecular interactions (Wang et al. 2009b). Hairpin DNA probes (HDPs) are perhaps one of the most versatile nucleic acid probes that have been widely employed for biosensor construction in aqueous/homogeneous systems (Ma et al. 2013b) and solid-state-based platforms (Lubin and Plaxco 2010). An HDP is a single-stranded DNA assuming a stem-loop structure due to the complementary sequences at its ends (Figure 1A). For homogeneous sensing systems, HDPs are usually labeled with two photoluminescent species (one donor and one acceptor) at their two ends for signal generation under structural changes. Such labeled HDPs are called molecular beacons (MBs; Figure 1B). MBs were first reported by Tyagi and Kramer (1996). The stem part of an MB brings the donor dye (commonly referred to as fluorophore, F) and the acceptor dye (fluorescence quencher, Q) in close proximity, which, in the absence of the target, ensures a low background signal by efficiently quenching the fluorescence emission of the donor. The loop region is specially designed to be complementary to a target sequence. In the presence of targets, the targets hybridize with the loop of the MB and open the hairpin structure of the MB, leading to the separation of the fluorophore (donor) and quencher (acceptor) and consequently the restoration of the fluorescence signal (Figure 1C). Generally, an MB probe can be regarded as an elegant biosensor that switches between two different signaling conformations (closed and open states) in an analyte-dependent manner. The optical signal generated upon the addition of an analyte is proportional to the amount of the analytes, which forms the basis of MB-based detection methods.

Figure 1: Hairpin probes and basic detection mechanism.(A) An HDP, (B) an MB, and (C) structural change of an MB in binding with a target DNA. A, acceptor dye; D, donor dye; F, fluorophore; Q, quencher.
Figure 1:

Hairpin probes and basic detection mechanism.

(A) An HDP, (B) an MB, and (C) structural change of an MB in binding with a target DNA. A, acceptor dye; D, donor dye; F, fluorophore; Q, quencher.

Other than the MB-based homogeneous sensing methods, some other HDPs can also perform sensing functions after being immobilized on solid surfaces (Lubin and Plaxco 2010). In solid-state HDP-based sensors, HDPs are usually labeled with optically or electrochemically sensitive signaling tags and tethered to a solid substrate. In the presence of targets, they undergo conformational changes when binding with the targets and translate the recognition events into detectable signals. The solid-state HDP platforms have been widely used for the determination of DNA (Du et al. 2003, Fan et al. 2003), RNA (Pang et al. 2014), thrombin (Radi et al. 2006, Wang et al. 2009c), ATP (Wu et al. 2013a), cocaine (Baker et al. 2006), and Hg2+ (Gao et al. 2013c, Xiong et al. 2015).

Recently, HDPs have been widely used in a variety of areas, including life science, medical diagnosis, pathogen identification, and food safety monitoring. This review covers the advances in the design of HDPs, especially MBs with diverse signaling pairs, and summarizes the detectable targets and the generic sensing principles of HDP-based biosensors, with a focus on the homogenous and solid-state sensing schemes. Typical HDP-based amplification methods, including enzyme-free and enzyme-assisted approaches, are also extensively discussed.

MB-based sensing in homogeneous systems

Signaling labels of MBs

The stems of MBs can improve the selectivity of MB-based biosensors because they set a conformational constraint, which preferentially favors the interaction between MBs and perfectly matched targets. The sensitivity, however, strongly depends on the signaling pair (fluorophore and quencher) labeled on the MBs and may be deteriorated due to the incomplete signal quenching in the closed state and/or the inadequate signal generation from the open state of MBs. To improve the sensitivity, different labels for MBs have been reported to enhance the signal-to-background ratio (SBR; the ratio of the signals with and without the presence of the targets).

Figure 2 lists MBs with diverse signaling labels, varying from inorganic materials (Joshi and Tor 2001) to organic compounds (Wabuyele et al. 2003, Kim et al. 2007a), including nanomaterials (Dubertret et al. 2001, Ebrahimi et al. 2014), metal complexes (Wilson and Johansson 2003), conjugated polymers (Yang et al. 2005c, Lee et al. 2007), superquenchers (SQs; Yang et al. 2005b, Lee et al. 2009, Lovell et al. 2010), and other materials with outstanding photophysical properties.

Figure 2: Various MBs.(A) Regular MBs: (a) an MB modified with common signaling pairs (one fluorophore and one quencher), (b) an MB with two different fluorophores attached, (c) an MB labeled with two identical units, (d) an MB with guanosine-rich sequences acting as the quencher, (e) an MB with an abasic site trapping a fluorescent dye for signal generation, and (f) an MB with a fluorescent dye tethered in the loop region. (B) Nanomaterial-labeled MBs: (a) an MB with an AuNP acting as the quencher; (b) an MB with an AgNP acting as the quencher; (c) an MB with a QD and a fluorophore acting as the energy donor and acceptor; (d) an MB with a QD and a quencher acting as the energy donor and acceptor; and (e) an MB with a QD and an AuNP acting as the energy donor and acceptor. (C) Multiple-labeled MBs: (a) an MB with an SQ; (b) an MB including a multiple-pyrene moiety; (c) an MB with a dual-fluorophore unit (F1 and F2) and a quencher acting as the energy donor and acceptor; and (d) an MB with a conjugated polymer. (D) Metal complex-based MBs: (a) an MB with transition metal complexes, (b) an MB with copper complexes, and (c) an MB with thymine-Hg2+-thymine complexes. CC, copper complex; E, electrochemical tag; F, fluorophore; FC, fluorophore chain; MF, multiple fluorophore; Ml, mercury ion; Q, quencher; TMC, transition metal complex.
Figure 2:

Various MBs.

(A) Regular MBs: (a) an MB modified with common signaling pairs (one fluorophore and one quencher), (b) an MB with two different fluorophores attached, (c) an MB labeled with two identical units, (d) an MB with guanosine-rich sequences acting as the quencher, (e) an MB with an abasic site trapping a fluorescent dye for signal generation, and (f) an MB with a fluorescent dye tethered in the loop region. (B) Nanomaterial-labeled MBs: (a) an MB with an AuNP acting as the quencher; (b) an MB with an AgNP acting as the quencher; (c) an MB with a QD and a fluorophore acting as the energy donor and acceptor; (d) an MB with a QD and a quencher acting as the energy donor and acceptor; and (e) an MB with a QD and an AuNP acting as the energy donor and acceptor. (C) Multiple-labeled MBs: (a) an MB with an SQ; (b) an MB including a multiple-pyrene moiety; (c) an MB with a dual-fluorophore unit (F1 and F2) and a quencher acting as the energy donor and acceptor; and (d) an MB with a conjugated polymer. (D) Metal complex-based MBs: (a) an MB with transition metal complexes, (b) an MB with copper complexes, and (c) an MB with thymine-Hg2+-thymine complexes. CC, copper complex; E, electrochemical tag; F, fluorophore; FC, fluorophore chain; MF, multiple fluorophore; Ml, mercury ion; Q, quencher; TMC, transition metal complex.

Common signaling pairs

Most MBs have one fluorophore and one quencher at their ends. The first MB (Tyagi and Kramer 1996) consisted of a 5-bp stem and an 18-base loop portion with 5-(2′-aminoethyl) aminonaphthalene-1-sulfonic acid as the fluorophore located at its 5′-end and 4-(4′-dimethylaminophenylazo) benzoic acid (DABCYL) as the quencher at the 3′-end (Figure 2A,a). Other fluorophores commonly used in MB designs include carboxyfluorescein (Kolpashchikov 2006, Sun and Fan 2012), Cy3 (Yu et al. 2014), Cy5 (Watanabe et al. 2014), and Texas red (Tyagi et al. 1998). Besides DABCYL (Huang et al. 2012a, 2013), Black Hole Quencher 1 and 2 (BHQ1 and BHQ2; Kang et al. 2011) are popular quenchers.

MBs labeled with two different fluorophores

MBs labeled with two fluorophores (Figure 2A,b) were constructed to monitor intermolecular interactions among structured nucleic acids, including hairpin structures (Ota et al. 1998). For such dual-fluorophore-labeled MB probes, the fluorescence resonance energy transfer (FRET) between the two fluorophores could be greatly reduced in the occurrence of MB-target hybridization. In addition to in vitro sensing, the measurement of the change in FRET made it possible for in vivo target detection, which could not be performed using the traditional MBs due to the employment of nonfluorescent quenchers.

Dual-fluorophore-labeled MBs have advantages over the conventional ones (Zhang et al. 2001). In the presence of DNA targets, the fluorescence intensity of one fluorophore, say, F1 (coumarin; Figure 2A,b), increased, whereas that of the other fluorophore, F2 (carboxyfluorescein), decreased. The signal ratio of the two fluorophores could greatly improve the detection sensitivity. Moreover, this ratiometric probe exhibited self-referencing feature, which led to exceptional properties, such as excellent quantitative linearity and low interference from photobleaching and other environmental factors that would affect optical measurements.

MBs labeled with two identical units

MBs could also be labeled with two identical entities (Figure 2A,c). A new aptamer probe with two pyrene molecules labeled at its ends was developed for protein detection (Yang et al. 2005a). In the presence of target protein (platelet-derived growth factor), the structure of this aptamer probe was disrupted and adopted a closed hairpin conformation, bringing the two pyrene molecules close to each other. Then, its emission wavelength was shifted from its monomer (≈400 nm for pyrene monomer) to excimer (~485 nm for pyrene excimer) emission wavelength. One fascinating characteristic of the pyrene excimer is that its fluorescence lifetime (100 ns) is much longer than that of most of the biological background species (<10 ns). This new aptamer probe made it possible to directly detect targets in complex biological samples without any separation or purification processes.

Nesterova et al. (2009) labeled MBs with two identical, water-soluble phthalocyanine molecules (Figure 2A,c), a class of near-infrared fluorophores (emission wavelengths are >700 nm) that could avoid significant autofluorescence (emission wavelengths are in the visible spectrum: 400–700 nm). Without the targets, the two phthalocyanine molecules formed a nonfluorescent dimer. In the presence of DNA targets, however, the phthalocyanine dimers were separated due to the conformational changes of the MBs, leading to fluorescence restoration.

Based on the same design concept (Figure 2A,c), another interesting electrochemical MB probe modified with two identical units (carminic acid) was reported for the sensitive determination of HIV-1 gag gene (Li et al. 2014a). Unlike MB-based optical detection methods, this new probe represented one of the rare cases that the MB probe could be smartly designed as an electrochemical carrier to perform sensing function in homogeneous solutions. Furthermore, this immobilization-free electrochemical method differed from other electrochemical DNA sensors, where the immobilization operations were indispensable, as discussed later.

Single-labeled MBs

Single-labeled MBs were also developed (Stohr et al. 2005), where the signal from the fluorophore was quenched by the guanosine residues in the stem portion instead of a quencher (Figure 2A,d). Compared with the dual-labeled MBs, single-labeled MBs were cheaper and could be easily used in sensing systems involving solid surface supports.

Figure 2A,e shows an example, where the stem sequence contains an abasic site (Sato et al. 2011). Some fluorescent ligands could specifically bind to the abasic site and cause fluorescence quenching. Upon hybridization with the target DNA, the MB was opened and the ligand would be released from the abasic site, leading to fluorescence generation.

Another single-labeled MB was synthesized by attaching fluorene to the loop part (Figure 2A,f; Hwang et al. 2004). Fluorene was chosen as the fluorophore due to its better quantum yields and less bulky structure than other commonly used fluorophores. Compared to the background signal observed from these fluorene-labeled MBs, the fluorescence intensity of single-base-mismatched duplexes was weaker, whereas the fluorescence signal of the fully matched duplexes was much stronger. This made it feasible to well distinguish the presence of one-base-mismatched sequences.

Nanomaterial-based signaling moieties

Dubertret et al. (2001) reported the first example to apply gold nanoparticles (AuNPs) as quenchers for MBs (Figure 2B,a), and the quenching efficiency was found to reach up to 99.45%, which was approximately 2 orders of magnitude higher than the first MB in 1996 (Tyagi and Kramer 1996). With such high quenching efficiency, single nucleotide discrimination could be easily achieved.

AuNP-based MBs (Figure 2B,a) were used for real-time monitoring of RNA synthesis (Rosa et al. 2012). The employment of AuNPs could protect MBs from being digested by nucleases without sacrificing the quenching and sensing capabilities of MBs. Therefore, AuNP-based MBs did not suffer from degradation issues, which might be faced by the conventional MBs in certain applications. They could be applied for real-time assessment of RNA transcription and inhibition.

In addition to AuNPs, silver nanoparticles (AgNPs) were also employed as nanoquenchers (Figure 2B,b; Peng et al. 2009). AgNPs could quench nonspecific fluorescence and enhance signal generation when the fluorophore was separated from them. It was demonstrated that AgNPs could enhance the signal by 10-fold compared with AuNPs for the same amount of targets, and a detection limit of 100 pM could be easily achieved using AgNP-based MBs. However, the detection performance strongly depended on the particle size of AgNPs.

Quantum dots (QDs) are another nanomaterial superior to traditional organic dyes due to their exceptional optical properties, such as broad absorption spectra, narrow emission spectra, high quantum yield, and excellent photostability. Attempts were made to explore the possibility to use QD-based MBs for biosensing. Liu et al. (2011) developed a two-photon excited MB with QDs as the energy donor and carboxy-X-rhodamine (ROX) as the energy acceptor (Figure 2B,c). It could reduce the direct excitation of the acceptor to eliminate possible errors and false-positive results. Moreover, it was free of interferences from autofluorescence or scattering light, which could find potential applications in complicated biological matrices.

Figure 2B,d shows another QD-based MB, where tiny yet robust silica-coated QDs were used as fluorophores (Wu et al. 2011). Such QDs were less than 10 nm in diameter and allowed efficient fluorescence energy transfer. QD-based MB sensors were able to selectively detect 0.1 nM DNA very quickly. They were also sufficiently stable in a wide range of pH values (from 1 to 14) and even in environments of high salt concentration (up to 2 M).

The combination of QDs and AuNPs for MBs is worth mentioning. As shown in Figure 2B,e, MBs were labeled with CdSe-ZnS core-shell QDs and AuNPs, which acted as the donor and the acceptor, respectively. These QD/AuNP-based MBs were designed for visualizing virus replications in living cells (Yeh et al. 2010). Tat peptide was modified onto the QD surface to provide approximately 100% noninvasive delivery of the QD/AuNP-based MBs within 2 h. Such MBs addressed the major problems in applying the conventional MBs for in vivo viral detection, as the modest half-life of the conventional MBs was approximately 50 min due to cytoplasmic nuclease degradation and the lack of noninvasive intracellular delivery (Bratu et al. 2003).

It should be noted that graphene, which exhibits excellent optical, electrochemical, and electronic properties (Bonanni and Pumera 2011, Tang et al. 2011a, Chen et al. 2012), is emerging as an appealing nanomaterial for biosensor constructions. Due to its distinct adsorption properties for single- and double-stranded DNA and its remarkable fluorescence quenching ability (Wang et al. 2010a, 2013b, 2014g, Tang et al. 2012a), it has been widely used in MB-based sensing systems (Lu et al. 2010a,b, Wang et al. 2011b).

Multiple-labeled MBs

Yang et al. (2005b) reported a novel molecular assembly of DABCYL molecules to form SQs with quenching efficiency as high as 99.7% (Figure 2C,a), which led to a 320-fold enhancement of fluorescent signal, far better than the 14-fold enhancement of the regular MBs with the same monomer quencher.

Another multiple-labeled MB probe was engineered for real-time detection of DNA sequences (Conlon et al. 2008), which contained one to four pyrene monomers on the 5′-end and DABCYL quencher on its 3′-end (Figure 2C,b). Each additional pyrene monomer resulted in a significant increase in the excimer emission intensity, quantum yield, and lifetime of the target-bound MBs. Benefited from its relatively long fluorescence lifetime (~40 ns) and large Stokes shift (130 nm), this new MB probe could be used under high autofluorescence (e.g., cell growth media) without special sample pretreatment or washing steps.

Figure 2C,c shows a wavelength-shifting MB probe developed with two fluorophores as an FRET pair (F1 and F2) at one end and a quencher (Q) at the other end (Tyagi et al. 2000). One of the fluorophores was called the harvester fluorophore (F1) that absorbed light, and the other was named emitter fluorophore (F2) that emitted light after gaining energy from the harvester fluorophore (F1). Without the DNA targets, the MB probe was dark, because the energy absorbed by the harvester fluorophore (F1) was quickly transferred to the quencher (Q) and produced no fluorescence emission. In the presence of the DNA targets, however, they induced conformational reorganization in the MBs and the energy absorbed by the harvester fluorophore (F1) could be efficiently transferred to the emitter fluorophore (F2), and then the fluorescence emission of the emitter fluorophore (F2) was generated. This could substantially improve the fluorescence response of MBs if they contained a fluorophore that could not efficiently absorb energy from light sources. This wavelength-shifting MB probe offered some insights for reliable multiplex genetic analyses.

Fluorescent amplifying polymers were also employed in MBs (Figure 2C,d; Yang et al. 2005c). Simple, rapid, and well-controlled procedures were developed to conjugate MBs with polymers in a precise 1:1 molecular ratio. Lee et al. (2007) also proposed a polymer-conjugated MB probe, where the polymer was water soluble and could be used as an efficient signal amplifying unit. This is superior to the previous work (Yang et al. 2005c), where surfactants were needed due to the poor water solubility of polymers.

Metal complex-based MBs

Joshi and Tor (2001) developed MBs tagged with metal complexes, which were called “metallobeacons” (Figure 2D,a). Ruthenium complex-containing nucleoside served as a fluorophore, whereas osmium complex-containing nucleoside acted as a quencher. The fluorescence emission of the MBs was sufficiently quenched in the form of stem-loop structure and then was dramatically recovered upon hybridization with complementary DNA sequences.

The Eu3+ complex of chlorosulfonylated tetradentate β-diketone (L) was also applied as a donor dye (Li et al. 2011b) in MBs (Figure 2D,a). The detection limit was approximately 20 times lower than that of the conventional MBs. The long luminescence duration of Eu3+ (~0.8 ms) could be easily distinguished from the short fluorescence lifetime of the background (<10 ns) and the scattering light. As low as 500 pM DNA in cell media could be determined quantitatively without any sample pretreatment.

Brunner and Kraemer (2004) introduced Cu2+ complexes as intramolecular quenchers for MBs (Figure 2D,b), where the quenching process was induced by the intramolecular coordination of a phenolate donor of fluorescein with a free coordination site of a copper(II) 5-(2-pyridinyl)pyrazole (pypz) complex. These MBs held a great potential to eliminate nonspecific interactions between MBs and complicated biosamples to avoid false-positive signals.

Metal complex-based MBs could be employed for DNA detection. Hou et al. (2012) proposed an MB with fluorescein at its 3′-end as the fluorophore, whereas its 5′-end consisted of a thymidine-rich sequence (Figure 2D,c). Due to the special interactions between thymidine and Hg2+, as well as the fluorescence quenching capability of Hg2+, these Hg2+-quenched MBs could be used as a “turn-on” fluorescence sensor for DNA determination.

Section summary

It is seen that there are a great number of ways to label HDPs to form MBs. The sensing performance of MB-based detection methods greatly depends on the SBR. To improve the detection quality, the background signal should be reduced, whereas the response signal needs to be enhanced. MBs are also required to be resistant to nuclease degradation in physiological media. Furthermore, the signals reported from ideal MBs should not be affected by the autofluorescence from complicated biological systems. Most of the newly developed MBs are based on such ideas. This may be achieved using new materials with striking optical properties. The recent advances in MBs with diverse signaling entities discussed previously are summarized in Table 1.

Table 1

MBs labeled with different signaling pairs.

Design conceptDonorAcceptorCorresponding model in Figure 2References
Classical type5-(2′-Aminoethyl) aminonaphthalene-1-sulfonic acidDABCYLA,aTyagi and Kramer 1996
Cy3BHQ2Yu et al. 2014
Cy5Iowa Black RQWatanabe et al. 2014
Texas red and carboxyfluoresceinBHQ1 and BHQ2Kang et al. 2011
Coumarin, EDANS, fluorescein, Lucifer yellow, BODIPY, eosin, and Texas redDABCYLTyagi et al. 1998
CarboxyfluoresceinDABCYLKolpashchikov 2006, Huang et al. 2012a, 2013, Sun and Fan 2012
Two different fluorophoresCoumarinCarboxyfluoresceinA,bZhang et al. 2001
Thiazole orangeThiazole redHolzhauser and Wagenknecht 2011
Cy3Cy5Kim et al. 2007a
Cy5Cy5.5Wabuyele et al. 2003
FluoresceinTexas redBarilero et al. 2009
Two identical unitsPyrenePyreneA,cYang et al. 2005a, Huang et al. 2010, Zheng et al. 2010, 2011, Meng et al. 2012
PhthalocyaninePhthalocyanineNesterova et al. 2009
Chlorin e6Chlorin e6Gao et al. 2011
Carminic acidCarminic acidCheng et al. 2010, Li et al. 2014a
HeminHeminWang et al. 2014f
Quencher freeCarboxyfluorescein, Alexa 488, rhodamine 6G, tetramethylrhodamine, and oxazine derivative MR121, ATTO665Guanosine residues in DNA probesA,dPiestert et al. 2003, Stohr et al. 2005, Marme et al. 2006, Song and Zhao 2009, Su et al. 2012
ATMNDAbasic sites in DNA probesA,eSato et al. 2011, Song et al. 2012
FluoreneA,fHwang et al. 2004
2-AminopurineDirks and Pierce 2004, EI-Yazbi and Loppnow 2012
Nanomaterial basedFluorescein, rhodamine 6G, Texas red, Cy5, ROX, and Cy3AuNPB,aDubertret et al. 2001, Beni et al. 2010, Jayagopal et al. 2010, Rosa et al. 2012, Ebrahimi et al. 2014, Qian et al. 2014
Carboxyfluorescein, tetramethylrhodamine, carboxyrhodamine 6GAgNPB,bWabuyele and Vo-Dinh 2005, Peng et al. 2009, 2012, Zhou et al. 2014b
QDROX, Cy5, and Cal610B,cChen et al. 2007, Liu et al. 2011
QDIowa Black FQ, DABCYL, and BHQ2B,dLi et al. 2011c, Wu et al. 2010b, 2011
QDAuNPB,eYeh et al. 2010, Deng et al. 2014a, Zhang et al. 2014a
Multiple moieties attachedCarboxyfluoresceinSQ (three DABCYLs)C,aYang et al. 2005b, Lee et al. 2009
PyropheophorbideSQ (three DABCYLs)Lovell et al. 2010
Several pyrene moleculesDABCYLC,bConlon et al. 2008
6-Carboxyrhodamine 6G, tetramethylrhodamine, Texas red, and fluoresceinDABCYLC,cTyagi et al. 2000
Poly (phenylene ethynylene)DABCYLC,dYang et al. 2005c, Lee et al. 2007
Metal complex includedEuropium complexBHQ2D,aLi et al. 2011b
Ruthenium complexOsmium complex, BHQ2Joshi and Tor 2001, Wilson and Johansson 2003, Huang and Marti 2012
LanthanidesBHQ2Krasnoperov et al. 2010
FluoresceinCopper complexD,bBrunner and Kraemer 2004
FluoresceinThymidine-Hg2+-thymidineD,cHou et al. 2012

Detectable targets and sensing mechanisms for MB-based homogeneous sensing systems

General mechanism of MB-based homogeneous sensing systems

The fluorophores attached on MBs generate fluorescence emission, when the MBs hybridize with the targets and experience structural changes (Figure 1C). The signal generation is instantaneous in homogenous solutions and does not require any washing steps to separate the MB-target complexes from the excess amount of unreacted MBs. This is due to the presence of the stem structure, which can lock the MBs from dissociation and ensure substantial background suppression. The MB-based detection methods can be treated as instantaneous schemes with only one “mix-and-measure” step. Depending on how the signals are generated due to the conformational changes of MBs, MB-based sensing methods can be categorized into two groups: “open-to-signal” and “close-to-signal” (Huang et al. 2014a).

MB-based “open-to-signal” biosensors

“Open-to-signal” sensors are those where the signals are generated due to the opening of MBs. Figure 3 illustrates some typical examples of such sensing methods. Other than the most popular applications for nucleic acid determination (Figure 3A), as discussed in the previous section, the principle of “open-to-signal” MB-based sensing strategies has also been extended for detecting a variety of other analytes, including proteins (Hall et al. 2007, Vallee-Belisle et al. 2011), nucleases (He et al. 2014, Lian et al. 2015), small molecules (Sharon et al. 2010, Machado et al. 2014), and metal ions (Ono and Togashi 2004, Stobiecka et al. 2012).

Figure 3: Basic principles of MB-based homogeneous sensing systems (open-to-signal).Determination of nucleic acids (A), proteins or small molecules (B), nucleases (C), metal ions (D) and (E), ligases (F), polymerases (G), and MTases (H).
Figure 3:

Basic principles of MB-based homogeneous sensing systems (open-to-signal).

Determination of nucleic acids (A), proteins or small molecules (B), nucleases (C), metal ions (D) and (E), ligases (F), polymerases (G), and MTases (H).

Tang et al. (2008) constructed a novel and versatile intramolecular signal transduction aptamer probe to identify aptamer-target binding events (Figure 3B). Upon the addition of the targets (ATP or thrombin), the conformation of the aptamer probe changed and then the fluorophore was forced away from the quencher, allowing fluorescence recovery. This new aptamer probe integrated the aptamer sequence, competitor probe, and signaling base pairs into one molecule and could be used for target recognition based on intramolecular displacement. Compared to intermolecular DNA hybridization, this intramolecular hybridization design exhibited better performance in terms of probe optimization and hybridization rate.

Employing a similar principle to that depicted in Figure 3B, Vallee-Belisle et al. (2011) introduced “transcription factor beacons” (target-activated fluorescent DNA probes) to record the interactions of specific DNA binding events. Such “transcription factor beacons” could be used for rapid and reliable determination of three transcription factors (TATA binding protein, Myc-Max, and nuclear factor-κB). Their binding activities could be directly monitored in crude nuclear extracts.

Wu et al. (2014c) reported a sensitive and simple “turn-on” fluorescence strategy for the detection of 3′-5′-exonuclease activity of exonuclease III (Figure 3C). As exonuclease III was introduced, it digested the MB from its 3′-end and then removed the quencher from the MB, leading to fluorescence enhancement. The results demonstrated that MBs could be potentially applied for the detection of exonuclease III in real biological samples.

Xu et al. (2011) proposed a new fluorescent probe for the detection of Hg2+ in aqueous media. The sensor employed thymine-rich sequences for the selective recognition of Hg2+ with structure-switching fluorophore-quencher pairs in MBs for signaling (Figure 3D). The presence of Hg2+ facilitated the hybridization between MBs and the single-stranded DNA probes, liberating the fluorescence of the fluorophore.

Zhang et al. (2010b) introduced a new concept of “catalytic beacon,” which could be used for Pb2+ detection with the assistance of DNAzyme. As illustrated in Figure 3E, the DNAzyme strand bound with the MB to form a complex structure. After Pb2+ activated the catalytic activity of the DNAzyme, the DNAzyme substrate (shown as the red region) caged in the MB sequences was cut into two pieces, resulting in stem dissociation and fluorescence increase. An amplified fluorescence signal could be easily expected, as one DNAzyme could catalyze the cleavage of multiple DNAzyme substrates in MBs.

Tang et al. (2003) developed an MB-based platform, which, for the first time, made it possible for the real-time monitoring of nucleic acid ligation. As shown in Figure 3F, two half-matching short DNA strands were employed and they bound with the MB to form a nick. In the presence of DNA ligase, it bound to the nick and catalyzed the ligation of the two short fragments to form a longer DNA strand. Then, the ligation product opened the MB and released the quenched fluorescence of the MB. This detection mechanism was revised later for the real-time investigation of nucleic acid phosphorylation processes (Tang et al. 2005).

Ma et al. (2006) reported a novel MB-based system for real-time DNA polymerase detection. As shown in Figure 3G, a primer was designed to hybridize with the MB and then form a primer-MB complex. When DNA polymerase appeared, it bound to the 3′-end of the primer-MB complex and catalyzed the nucleotide incorporation into the primer to generate a longer DNA strand. Then, the long polymerization product became able to open the MB and led to fluorescence restoration.

Li et al. (2007) proposed a novel method to study methyltransferase (MTase) activity using MBs coupled with enzyme-linkage reactions. As depicted in Figure 3H, MTase methylated the MBs at the recognition site, yielding the methylated DNA products, which were then recognized and cleaved by DpnI endonuclease, restoring the fluorescence of the MBs.

Table 2 provides the details about how the sensing mechanisms in Figure 3 are employed for the determination of a wide range of targets.

Table 2

MB-based “open-to-signal” schemes for sensing various targets.

Target of interestSensing scheme in Figure 3References
Nucleic acids
 DNAATyagi et al. 1998, 2000, Zhang et al. 2001, Lee et al. 2007
 RNAHarry et al. 2010, Baker et al. 2012, Su et al. 2015
Proteins
 Transcription factorBVallee-Belisle et al. 2011
 ThrombinCheng et al. 2010, Tang et al. 2010, Li et al. 2013a
 Platelet-derived growth factorTan et al. 2014
 Vascular endothelial growth factorHall et al. 2007
 Cdc42-binding kinaseTok et al. 2010
 HIV-1 reverse transcriptaseLiang et al. 2011
Small molecules
 ATPTang et al. 2008, Nielsen et al. 2010, Wang et al. 2010b, Li et al. 2013a
 Adenosine monophosphateSharon et al. 2010, Machado et al. 2014
 Flavin mononucleotideHall et al. 2007
 CocaineNie et al. 2013
 ATPFMa et al. 2012, 2013a
 Nicotinamide adenine dinucleotideTang et al. 2011b
Nucleases
 RNase HCLiu et al. 2013a
 Exonuclease IIIWu et al. 2014c
 S1 nucleaseLi et al. 2000
 GlycosylaseLi et al. 2014b
 EndonucleaseJiang et al. 2014a
 Polynucleotide kinaseHe et al. 2014, Lian et al. 2015
 LigaseFTang et al. 2003, Liu et al. 2005
 Polynucleotide kinaseTang et al. 2005, Chen et al. 2013a
 Polynucleotide kinaseGMa et al. 2007a
 PolymeraseMa et al. 2006
 TelomeraseDing et al. 2010
 EndonucleaseMa et al. 2007b
 MTaseHLi et al. 2007, Wei et al. 2014, Zhao et al. 2014
Metal ions
 Hg2+DYang et al. 2009, Xu et al. 2011, Wu et al. 2013b
 Ag+Xiao et al. 2013
 Pb2+EWang et al. 2009a, Zhang et al. 2010b
 Cu2+Li et al. 2013b

MB-based “close-to-signal” biosensors

“Close-to-signal” sensors report the presence of targets due to the formation of MBs. This sensing technique is termed “reverse MB” method and has been used for detecting a variety of targets (Figure 4).

Figure 4: Schematic of the generic principles of MB-based homogeneous sensing systems (close-to-signal).Detection of nucleic acids (A and B), proteins or small molecules (C), metal ions (D and E), and phosphatase (F).
Figure 4:

Schematic of the generic principles of MB-based homogeneous sensing systems (close-to-signal).

Detection of nucleic acids (A and B), proteins or small molecules (C), metal ions (D and E), and phosphatase (F).

Larkey et al. (2014) presented an innovative double-stranded DNA probe (Figure 4A). One single-stranded DNA (shown as the black strand) contained complementary sequences at the ends, which were labeled with a fluorophore and a quencher, respectively. The other DNA probe (shown as the blue strand) was label-free and designed to be complementary to a target sequence. In the presence of the target DNA, the target interacted with the DNA probe (the blue strand) and released the labeled strand (the black one), leading to the generation of a hairpin structure. The reduced fluorescence signal due to the formation of MBs was then used to report the hybridization events. With locked nucleic acid bases incorporated into its sequence, this probe could help reduce false-positive signals from nuclease degradation.

Wabuyele et al. (2003) developed a rapid and robust mutation detection approach capable of identifying point mutations directly from unamplified DNA samples with the help of DNA ligases. As depicted in Figure 4B, two helper DNA probes, whose complementary ends were labeled with fluorescent dyes, were smartly designed to recognize the target sequence. In the presence of perfectly matched DNA templates, the DNA ligase covalently joined the two adjacent helper probes to give rise to a longer single-stranded probe, which subsequently formed into an MB due to the complementary sequence at the ends and allowed FRET between the two dyes to occur.

Li and Ho (2008) proposed a generic method to convert aptamer-target recognition events into optical signals using the idea of “reverse MB.” As indicated in Figure 4C, an unmodified aptamer probe (the blue strand) specific to the targets (ATP or thrombin) served as the molecular recognition element and a competitor probe (the black strand) labeled with a FRET pair that acted as the signal transduction unit. Without targets, these two probes hybridized to each other. In the presence of the target, it selectively recognized the aptamer probe and the competitor probe was displaced to adopt a hairpin structure (MB), which enabled FRET and reduced signal generation.

Using a similar idea, Huang et al. (2010) designed a competition-mediated pyrene-switching aptasensor for the detection of lysozyme in human serum. As seen in Figure 4C, pyrene molecules (not shown in the figure) were modified at both ends of a competitor DNA strand (the black strand), which was partially complementary to an aptamer sequence (the blue strand). Upon the addition of lysozyme, it bound with the aptamer probe in a selective manner and removed the competitor DNA strand, which could return to its initial hairpin-shaped structure. Then, the emission wavelength switched from the pyrene monomer peak to its excimer peak.

Ono and Togashi (2004) reported the first example using thymine-rich DNA probes for the selective detection of Hg2+ in aqueous solutions (Figure 4D). The probe was functionalized with a fluorophore and a quencher at its two ends. It consisted of thymine-rich mercury-binding sequences at the ends and linker sequences in the middle region. In the presence of Hg2+, Hg2+ stabilized the thymine-thymine mismatched base pairs in the probe and then induced the formation of hairpin structures, leading to FRET processes.

Meng et al. (2012) proposed a fluorescence sensor for Zr4+ recognition via a target-mediated reverse MB scheme. As sketched in Figure 4E, two helper probes were modified with two phosphate-functionalized molecules, which were typically used to selectively bind with Zr4+. Each helper probe was labeled with a pyrene molecule. Zr4+ brought the two probes into close proximity, which promoted the formation of a hairpin structure and resulted in a pyrene excimer fluorescence signal.

Song et al. (2010) developed a powerful platform for high-throughput analyses of DNA 3′-phosphatases and their inhibitors based on a universal MB. The platform consisted of two hairpin probes, which bound to each other (Figure 4F). 3′-PO4 termini in one of the hairpin probes (the blue strand) could be hydrolyzed by enzymes with 3′-phosphatase activities, and then a 3′-OH termini would be generated. With the assistance of a polymerase, once the 3′-OH termini in the hairpin probe was yielded, it was immediately elongated by the polymerase to replace the single-stranded DNA probe (the black strand). Then, the complementary ends of the single-stranded DNA probe forced itself to assume a hairpin structure and the fluorescence signal was quenched.

Table 3 summarizes the diverse examples about how the detection principles in Figure 4 are employed for detecting different types of targets. The “open-to-signal” MB-based sensors are commonly regarded as “turn-on” biosensors, whereas the “close-to-signal” MB-based sensors are referred to as “turn-off” biosensors. For the “turn-off” biosensors, targets are reported by the significant loss of the initially strong signals. As it is difficult to completely suppress the original signal, the detection sensitivity of “turn-off” methods is usually limited (Lubin and Plaxco 2010). Another drawback associated with “turn-off” biosensors is that false signals could be generated due to the unexpected quenching entities in complicated biological samples. In contrast, “turn-on” sensors can generate considerably strong signals to improve the detection limit, especially for methods employing signal amplification techniques.

Table 3

MB-based “close-to-signal” schemes for sensing various targets.

Target of interestSensing scheme in Figure 4References
Nucleic acids
 DNABWabuyele et al. 2003, Peng et al. 2010
 RNAALarkey et al. 2014
Proteins
 LysozymeCHuang et al. 2010
 Platelet-derived growth factorCYang et al. 2005a
 Prostate-specific antigenCRen et al. 2014
 ThrombinCLi and Ho 2008
 ThrombinEHeyduk and Heyduk 2005
Small molecules
 AdenosineWu et al. 2010a
 CocaineWu et al. 2010a
 CoralynePark and Park 2015
 ATPCLi and Ho 2008, Kitamura et al. 2013
 AdenosineLiu and Lu 2006
 CocaineLiu and Lu 2006
 CoralyneKuo and Tseng 2013
 CoralyneDHung and Tseng 2014, Lin and Tseng 2014
 BiothiolZhang et al. 2013b
Metal ions
 Hg2+Ono and Togashi 2004, Chiang et al. 2008, Stobiecka et al. 2012
 Ag+Lin and Tseng 2014
 Zn2+Rajendran and Ellington 2008
 Zr4+EMeng et al. 2012
Nucleases
 PhosphataseFSong et al. 2010
 PolymeraseSong et al. 2009

HDP-based solid-state sensing methods

MB-based sensing schemes are usually performed in homogeneous solution systems. Some other HDP-based biosensors, however, are constructed on solid surfaces. Figure 5 illustrates some basic formats of HDP-based solid-state biosensing platforms, where HDPs were immobilized on surfaces for reporting hybridization or binding events using diverse signal readouts (optical or electrical).

Figure 5: General principles for the determination of nucleic acids through HDP-based solid-phase biosensing platforms.(A) A label-free scheme, (B) an intercalating agent-based biosensor, (C and D) sensors with optically (C) or electrochemically (D) sensitive signaling tags, and (E) an enzyme-linked amplified detection strategy. ECL, electrochemiluminescence; eT, electron transfer; Fl, fluorescence intensity; QCM, quartz crystal microbalance.
Figure 5:

General principles for the determination of nucleic acids through HDP-based solid-phase biosensing platforms.

(A) A label-free scheme, (B) an intercalating agent-based biosensor, (C and D) sensors with optically (C) or electrochemically (D) sensitive signaling tags, and (E) an enzyme-linked amplified detection strategy. ECL, electrochemiluminescence; eT, electron transfer; Fl, fluorescence intensity; QCM, quartz crystal microbalance.

Kjallman et al. (2008) introduced an electrochemical HDP-based DNA sensor, where HDPs were initially tethered to an electrode (Figure 5A). In the presence of the target DNA, the HDPs were opened by the targets, leading to variations in the electron transfer behavior at the hairpin probe-modified electrode, which could be reported by impedance spectroscopy. This is the simplest design of label-free electrochemical DNA biosensors for the direct determination of analytes.

Based on a similar principle, Zhang et al. (2010a) developed an electrochemical DNA biosensor for the simultaneous detections of multiplexed DNA targets. In this sensor, thiolated HDPs were attached onto an electrode surface with methylene blue as a hybridization redox indicator (Figure 5B). Methylene blue exhibits higher affinity with single-stranded DNA than with double-stranded DNA. The oxidation currents of methylene blue decreased due to the reduced single-stranded DNA sequences after the hybridization events between HDPs and DNA targets, which could be monitored by square wave voltammetry.

Du et al. (2003) reported a prototypical “molecular beacon” biosensor on gold surfaces. It was the first implementation where the substrate was used as a quenching agent. In this sensor, fluorophore-tagged DNA hairpins were attached to a gold substrate, which caused fluorescence quenching. The target DNA opened the HDP on the substrate and separated the fluorophore from the gold substrate, leading to the fluorescence emission (Figure 5C).

Fan et al. (2003) designed an electrochemical DNA biosensor where an HDP possessing a ferrocene group was immobilized on an electrode (Figure 5D). The stem-loop structure of the HDP brought the ferrocene tag into close proximity to the electrode surface. A large redox current was generated due to the efficient redox of the ferrocene and the rapid electron transfer between the ferrocene and the electrode. In the presence of the target DNA, the conformational change of the hairpin probe separated the ferrocene label from the electrode surface and reduced the redox currents.

Liu et al. (2008) described an enzyme-based electrochemical DNA sensor for the specific detection of femtomolar DNA targets. As depicted in Figure 5E, an HDP labeled with digoxigenin was fixed at an electrode surface. In the absence of DNA targets, the probe adopted a stem-loop structure, which made digoxigenin inaccessible by a horseradish peroxidase-linked anti-digoxigenin antibody due to the high steric hindrance. When targets appeared, the HDP changed its conformation, forcing digoxigenin away from the electrode. Then, the horseradish peroxidase-linked anti-digoxigenin antibody was able to bind with digoxigenin, and an enzymatically amplified electrochemical current signal was produced to report the presence of the target DNA.

Wei et al. (2008) developed an HDP-based enzyme-aided electrochemical DNA sensor for the sensitive determination of salivary RNA (Figure 5E). Without binding with the targets, the hairpin probe closed itself and the anti-fluorescein-horseradish peroxidase could not bind with the fluorescein modified at the end of the HDP. Upon the addition of the target RNA, the hairpin was opened and subsequently bound with the anti-fluorescein-horseradish peroxidase, leading to an amplified current signal to indicate the hybridization events.

Figure 5 illustrates the schematic diagrams for nucleic acid determination on solid-phase substrates. Other than nucleic acid targets, these strategies could also be applied to detect other targets through other interaction mechanisms, including DNA/RNA-aptamer/target binding as well as DNA/RNA-substrate/enzyme reactions. The targets can be either aptamer-relevant molecules, such as cocaine (Baker et al. 2006), ATP (Goda and Miyahara 2011, 2012), thrombin (Radi et al. 2006), and enzyme/DNAzyme-involved species, including Pb2+ (Lin et al. 2011) and ligase (Luan et al. 2010). The means for monitoring the specific interaction events upon the addition of targets range from optical [fluorescence, surface-enhanced Raman scattering (SERS), and surface plasmon resonance (SPR)] to electrochemical [electrochemical impedance spectroscopy (EIS), differential pulse voltammetry, and alternating current voltammetry] readouts. The details about the aforementioned HDP-based solid-state sensors can be found in Table 4.

Table 4

HDP-based solid-phase platforms for detecting a wide range of analytes.

Sensing scheme in Figure 5Target of interestDetection techniqueReferences
ADNAEISBonanni and Pumera 2011, Zhang et al. 2014b
SPRMeneghello et al. 2014
QCMPapadakis et al. 2012
Human immunoglobulin

E
Electrochemical currentWu et al. 2009
LigaseSPRLuan et al. 2010
ATPEISGoda and Miyahara 2011
Pb2+EISLin et al. 2011
BDNAAlternating current voltammetryFarjami et al. 2010, Zhang et al. 2010a
Differential pulse voltammetryChen et al. 2008
ATPField-effect transistorGoda and Miyahara 2012
BleomycinECLLi et al. 2013c
CDNAECLWu et al. 2014a
FluorescenceDu et al. 2003, Piestert et al. 2003, Peng et al. 2012
SERSWang et al. 2014a
RNASERSPang et al. 2014
DNA-binding protein and histone proteinFluorescenceWang et al. 2011a
Hg2+FluorescenceGao et al. 2013c
DDNAAlternating current voltammetryFan et al. 2003, Farjami et al. 2011
Square wave voltammetryDu et al. 2014
ECLYao et al. 2013
ThrombinECLWang et al. 2009c
Differential pulse voltammetryRadi et al. 2006
ATPSquare wave voltammetryWu et al. 2013a
CocaineAlternating current voltammetryBaker et al. 2006
Hg2+Square wave voltammetryZhuang et al. 2013a
Differential pulse voltammetryXiong et al. 2015
EDNADifferential pulse voltammetryWang et al. 2014c
Amperometric currentLiu et al. 2008, Wei et al. 2008, Avila et al. 2015
AbsorbanceNiu et al. 2011
QCMWang et al. 2012
RNAPhotoelectrochemistryYin et al. 2014
Amperometric currentCai et al. 2013

ECL, electrochemiluminescence; QCM, quartz crystal microbalance.

Brief summary of homogeneous and solid-state sensing systems

Both MB-based homogeneous sensing systems and HDP-based solid-state biosensing platforms have their own advantages and limitations. MB-based sensing methods exhibit great performance in terms of assay time and operation procedures. This is because the hybridization kinetics is faster in homogenous solutions than that on solid surfaces, where the high steric hindrance and slow diffusion kinetics are critical issues. In addition, homogenous sensing systems are less labor-intensive compared with solid-state platforms, because they do not require immobilization procedures to attach DNA probes on substrates and/or tedious washing steps to remove unbound DNA probes. Another problem associated with solid-state sensing approaches is the potential distortion of biomolecular interactions. This is because the immobilized biomolecules can lead to undesirable orientation for binding, lower the degrees of freedom available for capturing the targets, and cause nonspecific binding with targets. However, HDP-based solid-state biosensing platforms, especially electrochemical biosensors, have very low background signals, which greatly improve the detection sensitivity. In addition, they do not require sophisticated instrumentation and are usually cost-effective. Sometimes, electrochemical sensing chips can be regenerated and reused many times without significant signal loss, which can lower the detection cost. It is worth mentioning that HDP-based electrochemical biosensors can avoid the photobleaching problem of dye labels, which might be encountered in HDP-based fluorescent methods.

Signal amplification techniques

A major problem of using traditional MBs for biosensing is that each target molecule can hybridize with only one MB for signal generation. This 1:1 hybridization ratio greatly hinders the signal gain and the detection limit. To improve the detection sensitivity, various signal amplification schemes have been developed, which can be divided into two groups: enzyme-free and enzyme-assisted strategies.

Enzyme-free amplified methods

Huang et al. (2012a) proposed an enzyme-free strategy for the amplified detection of DNA using two MBs. The working mechanism is demonstrated in Figure 6A,a. The two MBs, MB1 and MB2, were specially designed such that they were complementary to each other. Furthermore, part of MB1 was complementary to the target. In the presence of the DNA target, it interacted with and opened MB1. This exposed the rest sequences of MB1 to MB2, and the hybridization between MB1 and MB2 was triggered. MB2 acted as a strand competitor and finally replaced the target DNA in hybridization with MB1. The freed target then went through another reaction cycle and led to more hybridizations between MB1 and MB2, which enhanced the fluorescence generation. This method was later modified by replacing the MBs with two label-free HDPs and applied to the determination of BRCA-1 gene (Huang et al. 2014c), where the signal enhancement was due to the continuous generation of DNA duplex from the two HDPs and their interaction with SYBR Green I molecules. Such target recycling methods are usually called catalytic hairpin assembly (CHA; Li et al. 2011a), and many CHA-based sensing systems have been reported for the effective detections of different analytes.

Figure 6: Schematic of strategies used in HDP-based amplification platforms.(A) Enzyme-free schemes using CHA (a) and HCR (b) and (B) enzyme-assisted methods with the employment of different enzymes: nicking endonuclease (a), exonuclease III (b), and polymerase (c).
Figure 6:

Schematic of strategies used in HDP-based amplification platforms.

(A) Enzyme-free schemes using CHA (a) and HCR (b) and (B) enzyme-assisted methods with the employment of different enzymes: nicking endonuclease (a), exonuclease III (b), and polymerase (c).

For the first time, Dirks and Pierce (2004) demonstrated an innovative technique for DNA detection based on chain reactions between two sets of HDPs (HP1 and HP2; Figure 6A,b). One of the HDPs (HP1) was labeled with a fluorophore, 2-aminopurine, whose fluorescence was highly quenched when embedded into double-stranded DNA structures. HP1 and HP2 were complementary in a staggered configuration and could coexist stably in the absence of targets. When targets appeared, the target DNA acted as an initiator strand and triggered the hybridizations between the target and HP1, which was then followed by the continuous hybridizations between HP1 and HP2, leading to the substantial fluorescence suppression. This strategy is named hybridization chain reaction (HCR; Dirks and Pierce 2004) and has been widely used to detect a wide ranges of targets. For example, Huang et al. (2014b) reported an HCR-based method for the sensitive and selective detection of Hg2+ in homogeneous solutions. The detection selectivity was ensured by the thymine-Hg2+-thymine coordination. The detection sensitivity was greatly improved through the HCRs as well as the suppression of background signal due to the employment of the graphene oxide (Huang et al. 2014b). A similar idea has been used for the detection of biothiols (Ge et al. 2014).

Enzyme-assisted amplified approaches

Signal amplifications could also be realized by employing certain enzymes that can perform special functions when interacting with DNA probes, including nucleotide incorporation, ligation, and cleavage reactions. PCR (Li and Rothberg 2004), ligase chain reaction (Yan et al. 2010), and rolling circle amplification (RCA; Jiang et al. 2013, Zhuang et al. 2014) are popular methods for amplified DNA detection. Recently, some novel approaches have been developed using tailored DNA probes and their corresponding enzymes, including nicking enzyme, exonuclease III, and polymerase.

Li et al. (2008) introduced a nicking enzyme-aided method for the amplified detection of DNA. As illustrated in Figure 6B,a, after the target hybridized with the MB, the nicking enzyme cleaved the MB and the target was released from the target/MB complex. The liberated target then reacted with and opened another MB. Therefore, the target was used as a catalyst to trigger the continuous digestion of MBs and gave rise to an amplified response signal.

Zuo et al. (2010) demonstrated a simple and sensitive method for DNA detection by employing MBs and exonuclease III. The preferred substrates of exonuclease III are blunt or recessed 3′-termini. As seen in Figure 6B,b, the MB contained exonuclease III-resistant protruding 3′-termini. Exonuclease III would catalyze MB cleavage only when the target bound with the MB, where a blunt 3′-terminus was formed in the MB/target complex. The released target remained intact and could join another reaction circle to facilitate the digestion of MBs by exonuclease III, allowing remarkable signal amplification.

Guo et al. (2009) proposed a new MB-involved method based on polymerase-mediated strand extension instead of strand cleavage. As shown in Figure 6B,c, the sensing system contained both MBs and primers. In the presence of the target DNA, it hybridized with the MB, which, once opened, could bind with the primer; then, the strand elongation would be initiated by the polymerase. The newly yielded probe forced the target to detach from the MB and this newly yielded probe/MB complex produced fluorescence signals. The liberated target became available to repeat the reactions (i.e. liberation after hybridization) to magnify the signal.

The above strategies could be combined for the determination of various analytes. For instance, Li et al. (2012) first engineered two enzyme-free signal amplification processes, HCR and CHA, for the fluorescent detection of nucleic acid analytes. In addition to the fluorescent methods, electrochemical approaches have also been developed for the detection of DNA based on the ingenious combination of CHA and HCR (Liu et al. 2013d). There are a number of other methods that couple CHA or HCR with some enzyme-assisted schemes, which are regarded as dual/multiple-amplified strategies. Table 5 shows the amplification methods demonstrated in Figure 6, which have been well incorporated into HDP-based biosensing systems.

Table 5

Sensing methods using signal amplification techniques.

Amplification principleSensing scheme in Figure 6Target of interestReferences
Enzyme free
CHAA,aDNAAllen et al. 2012, Huang et al. 2012a, 2014a, Jiang et al. 2014b, Li et al. 2011a, 2014c,d, Qian et al. 2015
RNABhadra and Ellington 2014, Zhu et al. 2015
ThrombinXu et al. 2015
Polynucleotide kinaseHou et al. 2014
ATPLi et al. 2011a
AdenosineQuan et al. 2015
Pb2+Chen et al. 2013b
HCRA,bDNADirks and Pierce 2004, Huang et al. 2011, Shimron et al. 2012, Huang et al. 2013, 2015, Liu et al. 2013c
RNAChoi et al. 2014, Sternberg and Pierce 2014
ThrombinAng and Yung 2014
Human IgGDai et al. 2014
Cytokine and chemokineChoi et al. 2011
Carcinoembryonic antigenXu et al. 2013b
Interferon-γZhao et al. 2012
EBNA-1Song et al. 2014
AdenosineYang et al. 2013
BiothiolGe et al. 2014
Hg2+Huang et al. 2014b
Ag+Liu et al. 2014
Pb2+Zhuang et al. 2013b
Enzyme assisted
Nicking endonucleaseB,aDNALi et al. 2008, Gao et al. 2013a, Liu et al. 2013f
ThrombinXue et al. 2012
IgEFeng et al. 2012
L-histidineKong et al. 2011
MTaseZhao et al. 2013
Exonuclease IIIB,bDNAZuo et al. 2010, Cai et al. 2014, Gao and Li 2014, Liu et al. 2015a
RNACui et al. 2013
ThrombinHuang et al. 2012b
Platelet-derived growth factorBi et al. 2014
MTaseXing et al. 2014
ATPLiu et al. 2013e
StreptavidinZhou et al. 2013
BleomycinGao et al. 2013b
Hg2+Xuan et al. 2013
Pb2+Xu et al. 2013a
Ag+Wang et al. 2014d
PolymeraseB,cDNAGuo et al. 2009, Jiao et al. 2012, Xuan et al. 2012
RNATian et al. 2013, Deng et al. 2014b
Platelet-derived growth factorQiu et al. 2011, Tang et al. 2012b
Vascular endothelial growth factorCheng et al. 2012
ATPGuo et al. 2011
Hg2+Zhu et al. 2011
Dual/multiple amplification schemes
CHA+CHADNASong et al. 2015
CHA+HCRDNALi et al. 2012, Liu et al. 2013d
CHA+HCRRNAWu et al. 2014b
CHA+HCRThrombinNiu et al. 2012
CHA+RCADNAJiang et al. 2013
CHA+RCARNAZhuang et al. 2014
CHA+exonuclease IIIDNATao et al. 2015, Wu et al. 2015
HCR+exonuclease IIIDNARen et al. 2015
HCR+polymeraseDNAWang et al. 2013a
Nicking endonuclease+polymeraseDNAConnolly and Trau 2010, Liu et al. 2013b, Ma et al. 2014a
Nicking endonuclease+polymeraseRNAMa et al. 2014b
Nicking endonuclease+polymeraseCocaineShlyahovsky et al. 2007
Nicking endonuclease+polymeraseAg+Freage et al. 2014
Exonuclease I+polymeraseDNASu et al. 2014
Polymerase+λ exonucleaseInterferon-γZhou et al. 2014a
Nicking endonuclease+polymerase+ligaseDNAWang et al. 2014e
Nicking endonuclease+polymerase+λ exonucleaseDNALiu et al. 2015a,b
Nicking endonuclease+polymerase+λ exonucleaseRNADuan et al. 2013

Section summary

To compare these two groups of amplification methods, enzyme-free schemes are relatively simpler and cheaper because enzymes are usually expensive and sequence specific. However, the assay time of enzyme-free schemes are usually longer than enzyme-assisted methods. For enzyme-assisted methods, enzyme activities can be easily affected by many factors, such as temperature, pH value, and enzyme concentration. Moreover, the detection procedures may involve complicated operations, such as thermal cycling steps. Nevertheless, enzyme-assisted methods always exhibit superior sensitivity to enzyme-free approaches.

Conclusions and future perspectives

As discussed in the previous sections, HDPs are powerful for biodetections due to their conformational variations and the accompanying signal changes. The flexible signal transduction mechanisms and the specific and robust target recognition capability make HDPs versatile and desirable tools for a variety of biosensing systems. Different signaling pairs, including nanomaterials, metal complexes, conjugated polymers, and pyrene compounds, have been used to function as efficient signaling moieties. Furthermore, the sensing strategies performed in homogeneous solutions and on solid substrates have been widely applied for the detection of various targets, including nucleic acids, proteins, small molecules, and metal ions. Even temperature changes could be monitored using MB-based fluorescent nanothermometers, which might employ dual-fluorophore-labeled MB probes (Barilero et al. 2009), AuNP-MB probes (Ebrahimi et al. 2014), or enantiomeric L-DNA MB probes (Ke et al. 2012). They were simple, safe, stable, and accurate.

Despite the remarkable progress achieved, there is still room for the further improvement for HDP-based biosensors. First of all, HDPs suffer from intracellular enzymatic degradation, which could cause problems in practical applications. Most of the HDP-based biosensing experiments reported previously were performed in ideal buffer solutions. In serum, plasma, or other physiological media, however, they may not work well. To improve the stability of HDPs, a possible approach could be nucleic acid base modification. For example, locked nucleic acid (Wang et al. 2005, Yang et al. 2007, Østergaard et al. 2010, Dong et al. 2011, Larkey et al. 2014), peptide nucleic acid (Socher et al. 2008, Wu et al. 2012, Fischbach et al. 2014), and L-DNA (Kim et al. 2007b, Ke et al. 2012) have been developed to improve HDP performance in terms of nuclease digestion resistance, hybridization efficiency, and nonspecific binding issues.

In addition, the interference from autofluorescence or scattering light in complicated biological systems may pose a challenge for the use of HDPs in cellular environments. Several effective measures can solve such problems. Two-photon excitation (Liu et al. 2011) and photoluminescence up-conversion (Wang et al. 2014b) are useful techniques for autofluorescence discrimination, although they are barely used in HDP-based systems. The preparation of signaling pairs with longer photoluminescence lifetime (Yang et al. 2005a, Huang et al. 2010, Li et al. 2011b) can also make it easy to be distinguished from the background autofluorescence. Additionally, near-infrared fluorophores (Nesterova et al. 2009) are likely to enhance the light contrast by eliminating the background scattering light and/or autofluorescence.

Another critical issue for solid-state HDP-based sensors is the relatively high cost, which is mainly caused by the modification and postsynthetic purification of dual-labeling probes and other tedious modifications to transplant them onto solid surfaces. The high cost could hamper the clinical applications and their commercialization, especially in developing countries. To lower the detection cost, it might be helpful to employ label-free schemes or alternative transducers for signal readout. Zhang et al. (2013a) proposed a label- and immobilization-free homogeneous electrochemical biosensor for the detection of cocaine based on a specially designed HDP, into which the cocaine aptamer sequences and peroxidase-mimicking DNAzyme sequences were integrated. A disposable micropipette tip coupled with a reproducible carbon fiber ultramicroelectrode was employed to monitor DNAzyme catalytic activities in a homogeneous solution at the microliter level. This method exhibited several promising advantages, such as low cost, easy manipulation, rapid response, high sensitivity, and excellent repeatability.

Given the advantages of HDPs and the tremendous demands for biosensing in medicine and biological science, increasing efforts and innovative ideas are needed to improve the detection performance in the future. These will be facilitated by new materials, innovative transduction methodologies, as well as novel measurement tools.


Corresponding author: Zhigang Li, Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, e-mail:

About the authors

Jiahao Huang

Jiahao Huang received his MS in biomedical engineering (2010) and BS in biotechnology (2007) from Hunan University, P.R. China. Currently, he is a PhD candidate in the Department of Mechanical and Aerospace Engineering at The Hong Kong University of Science and Technology. His research interests are in the field of DNA-based optical biosensors.

Jueqi Wu

Jueqi Wu received her BS in environmental engineering (2012) from Sun Yat-sen University, P.R. China. She is a MPhil. student in the Environmental Engineering Program at The Hong Kong University of Science and Technology. Her research areas include the applications of metal particles and biosensors in environmental science.

Zhigang Li

Zhigang Li received his PhD in mechanical engineering (2005) from the University of Delaware, USA, and his MEng in thermal engineering (1999) from Tsinghua University, P.R. China. He is now an Associate Professor in the Department of Mechanical and Aerospace Engineering at The Hong Kong University of Science and Technology. His research interests mainly focus on micro/nano-fluidics, microscale/nanoscale transport phenomena, and biodetection.

Acknowledgments

This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region under grant nos. 615312 and 16205714.

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Received: 2015-5-21
Accepted: 2015-7-22
Published Online: 2015-9-12
Published in Print: 2015-10-1

©2015 by De Gruyter

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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