Next Article in Journal
Tricyclic Nucleobase Analogs and Their Ribosides as Substrates and Inhibitors of Purine-Nucleoside Phosphorylases III. Aminopurine Derivatives
Previous Article in Journal
Insoluble-Bound Polyphenols Released from Guarana Powder: Inhibition of Alpha-Glucosidase and Proanthocyanidin Profile
Previous Article in Special Issue
Aptamers Chemistry: Chemical Modifications and Conjugation Strategies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Perspective

Predicting Future Prospects of Aptamers in Field-Effect Transistor Biosensors

Department of Chemical and Materials Engineering, National Central University, Jhongli 320, Taiwan
*
Author to whom correspondence should be addressed.
Molecules 2020, 25(3), 680; https://doi.org/10.3390/molecules25030680
Submission received: 12 December 2019 / Revised: 26 January 2020 / Accepted: 29 January 2020 / Published: 5 February 2020
(This article belongs to the Special Issue Aptamers: Successes, Limitations and Future Directions)

Abstract

:
Aptamers, in sensing technology, are famous for their role as receptors in versatile applications due to their high specificity and selectivity to a wide range of targets including proteins, small molecules, oligonucleotides, metal ions, viruses, and cells. The outburst of field-effect transistors provides a label-free detection and ultra-sensitive technique with significantly improved results in terms of detection of substances. However, their combination in this field is challenged by several factors. Recent advances in the discovery of aptamers and studies of Field-Effect Transistor (FET) aptasensors overcome these limitations and potentially expand the dominance of aptamers in the biosensor market.

1. Introduction

One and a half century since the discovery of nucleic acid by Meister in 1869 [1], the properties and functions of aptamers have attracted significant research attention. The outburst of studies on this biomolecule began in the mid-20th century and continues to the present day. Aptamers are now among the most crucial nucleic acid species with versatile applications in separation, analytics, and molecular imaging, particularly in diagnosis and therapeutics. This perspective provides a prediction about the future development of aptamers in Field-Effect Transitor (FET)-based biosensors, a narrow field of sensing technology. To this end, this paper outlines a brief history of aptamers and, specifically, their function in targeting small molecules. We then follow with a summary about the key characteristics of FET and the major role of aptamers in sensing techniques employing this transducer. The content of these three sections foreshadows our final view on the matter as expressed in the final part.

2. Aptamer Timeline

Aptamers, simultaneously introduced in 1990 by two laboratories [2,3], are short single-stranded DNA or RNA that specifically bind various molecules with high affinity [4]. Both groups are considered to have independently contributed to the debut of aptamers because they employed a similar process to synthesize the biomolecule (but differently named it: SELEX by Lary Gold and Craig Tuerk, in vitro selection by Ellington and Szostak) [2,3]. Since their inventions, aptamers have received tremendous attention because of their desirable properties: they can be easily synthesized via a reversible SELEX process or a low-cost phosphoramidite; they have stable bioactivities within a wide range of thermal conditions [5,6,7,8]; it is feasible to create them without animal or cell line; there is no limitation to physiological environment of optimal functionality; they are easier to conjugate with chemical and biological molecules; and they have higher thermal stability and minimized immunological effects in comparison to antibodies and their fragments [5,6,7,8,9,10,11,12,13]. However, despite possessing several advantageous properties, two primary limitations of aptamers are their high-cost, tediousness, repetitiveness, the length of time consumed using the SELEX technique [14,15], as well as their vulnerability to nucleases, especially the RNA aptamer which poses a threat to ex vivo and in vivo applications. Other minor challenges include a dearth of accommodation for modified and unnatural nucleic acids due to the limited abilities of the polymerases [15,16,17] and the tendency of studies to design novel strategies instead of isolating new aptamers [11,18].
Regarding SELEX (or in vitro selection), the technique basically involves four primary steps: (1) generate a vast randomized library of nucleic acids which can be amplified by polymerase chain reaction (PCR); (2) incubate the library with targets of interests and separate the oligonucleotides specifically binding to the target from the unbound ones; (3) collect bound sequences and amplify them by PCR (this step is repeated to obtain a collection of sequences with high affinity to the target); and (4) clone and sequence the library. The evolution of the SELEX process has resulted in new generations which have overcome a number of the aforementioned drawbacks of aptamers [19]. Achievements have been reached in producing a simple, efficient, low-cost (Open qPCR SELEX) [20] and non-tedious SELEX process (High-Throughput Sequencing (HTS-SELEX)) [21] which shortens selection time (Capillary Electrophoresis (CE-SELEX) [22], Equilibrium Capillary Electrophoresis of Equilibrium Mixtures (ECEEM-SELEX) [23], FluMag-SELEX [9], Non-SELEX [24], MonoLEX [12], NanoSelection (nM-AFM SELEX) [25], Rapid-SELEX [26], Hi-Fi SELEX [27]). In addition, the stability of aptamers against nucleases can be improved via various chemical modifications (Spiegelmer) [16].
The vast majority of developments in the field of aptamers involve analytical techniques which rely on high affinity and specificity binding between aptamers and their coupling agents [28,29]. During the 30-year timeline of aptamers, those which direct proteins have received the most extensive efforts and resources for inventions and innovations. Lots of aptamers have been generated from their corresponding proteins: T4 DNA polymerase (RNA) [3], GCN4 protein of yeast (double-stranded DNA) [30], bacteriophage R17 coat protein (RNA) [31], E.coli functional proteins (phenylalanyl-tRNA synthetase, elongation factor-Tu, ribosomes and ribosomal protein) [32,33,34], U1snRNP-A (U1-A) protein [35], human elav-like neuronal protein 1 [36], basic Fibroblast Growth Factor (bFGF) [37], Tax protein of human T-cell lymphotropic virus (HTLV-I) [38], reverse transcriptase of Avian Myeloblastosis virus (AMV) and Moloney murine leukemia virus (M-MLV) [39].
Aptamers to thrombin and proteins encoded by the Human Immunodeficiency Virus (HIV) are the most remarkable. First introduced in 1992 by Bock ‘s group, 15-mer DNA aptamer can bind to human α-thrombin via fibrinogen-recognition exosite by forming a stable intramolecular G-quadruplex structure (chair-like conformation) [40]. Not so long later was the revelation of a longer DNA aptamer (29-mer DNA) binding to the heparin-recognition exosite by Tasset ‘s group [41]. This group also synthesized two RNA thrombin aptamers with 24 and 33 nucleotides of sequence length [42]. Meanwhile, aptamers that can select various proteins of HIV type 1 (HIV-1) including Rev protein [43,44], reverse transcriptase (RT) [43,45], and Tat [43] were recognized for their potential in therapeutics. Many of them have been continuously developed to inhibit the RT protein of HIV [46,47,48,49,50,51,52]. In a battle to replace antibodies destroyed by the virus, the spotlight gradually shifted to the diagnostic and therapeutic functions of aptamers in targeting immune systems [53,54]. A review of the attainments within this field was listed in Hu ‘s publication [55].

3. Aptamers Targeting Small Molecules

Aptamer binding of small molecules is another area which has consumed much effort and time of scientists and researchers. This field has attracted interest mainly due to the functions of small molecules, which are ubiquitous in a wide range of antibiotics, steroids, amino acids, nucleotides and its derivatives and miscellaneous organic ligands. On one hand, these molecules are beneficial in serving as research tools, drugs in therapeutics, pesticides in farming, secondary metabolites and neurotransmitters. On the other hand, they are detrimental, causing pollutions, cancers and abnormalities (teratogens). Appearing right after the disclosure of aptamer, aptamer–small molecule complexes have rapidly demonstrated their importance. The first decade witnessed a clustering of aptamers targeting amino acids (L-valine [56], L-isoleucine [57], D-tryptophan [58], L-arginine and L-citrullin [59]), antibiotics (Neomycin B [60], Tobramycin [61], Streptomycin [62], Viomycin [63], Kanamycin A and Lividomycin [64]) nucleotides and biological factors (Guanosine [65], Vitamin B12 [66], Xanthine [67], Flavin Adenine Dinucleotide and Flavin Mononucleotide [68], Nicotinamide Adenine Dinucleotide and Nicotinamide Mononucleotide [68]), miscellaneous organic ligands (dopamine [69], sulforhodamine B [70], Theophylline [71] and a variety of organic dyes [2]). However, the binding affinity between the aptamer sequences and their corresponding targets was relatively weak, with most of the Kd value ranging from the hundreds of nanomolar to milimolar range. RNA dominated during this period because its libraries are considered a better choice for selection due to what many recognize as more diversified functional structures and higher affinity binders compared to DNA [4,72].
Since then, aptamers specifying these small substances have been increasingly retained and are recognized for their potential applicability in various fields. Structural studies of their complexes with corresponding targets have also enriched the research of tertiary motifs in RNA folding by contributing new motifs [73]. However, despite an encouraging beginning to aptamer research and experimentation, there was no significant outburst of aptamers which matched small molecules. This was largely due to the size difference between aptamers and small molecules, the challenges in setting up universal schemes for screening and characterizing, as well as issues related to measuring the binding affinity between such kinds of substances and their corresponding aptamers [74]. As a result, in approximately more than two decades of existence, there were only less than 20 percent of aptamers being selected for small molecules, with a minority of them specifying practical targets [75]. In spite of these weaknesses, aptamers corresponding to small molecules have attracted profuse investments and are among thriving aptamers at the center of much research. A literature survey on more than 900 publications about sensing technology based on aptamers in the first decade of the new century found that aptamers of ATP, cocaine, and theophylline are the second, fifth and seventh, respectively, most frequently used [76]. Moreover, new findings in this field coupled with high demands for aptamers targeting small molecules in therapeutics, medicine, analytical biochemistry and sensing technology means that the application of aptamers to small molecules remains a significant area of research.
The current decade in the aptamer era is characterized by the resurgence of aptamers fitting small molecules (17β-estradiol [77], anatoxin-a [78], brevetoxin-2 [79], bromacil [80], danofloxacin [81], digoxin [82], oxytetracycline [83], quinolone [84], sphingosine-1-phosphate [85], T-2 toxin [86], thiazole orange [87] and zearalenone [88]) with significantly improved binding affinity (Kd value at nanomolar scale) and the replacement of RNA by DNA. The rise and prevalence of DNA sequences in this period is attributed to their chemical and biological stability, low-cost and time-saving synthesis, making DNA aptamers more commercially favorable in comparison to RNA types [4]. Simultaneously, there have been numerous methods innovated to overcome the challenges and limitations of the screening and characterization of aptamers for small molecules [89,90,91,92,93]. A workflow diagram with four steps has been designed in an effort to optimally integrate aptamers for various applications [94]. Serving as a post-selection tool, the diagram aims to reduce the number of sequences at candidate screening; optimize and truncate binding sequences; determine KD and other parameters for truncation and optimization; and assess aptamers for different usages. Detailed protocols of selection and amplification were constructed to isolate the aptamers for small-molecule sensors [95]. Intensive research on the fundamentals and principles of this area has attracted more investments [96,97,98] whilst binding affinity has also been strengthened at all cost [19,99]. Consequently, these breakthroughs have been accompanied by an expansion and improvement of the application of aptamers to small molecules in areas such as drug delivery [100] and molecular imaging [101], particularly in sensing technology where they are combined with electrochemistry, surface plasmon resonance, optical fibers, quantum dots, field-effect transistors, fluorescence and a variety of other techniques used to monitor contaminants, metal ions, hormones, explosives, toxins, drugs, antibiotics and pesticides [29,102,103,104,105,106,107,108]. With the emergence of the sensing small molecule technique, popular strategies to construct biosensors rely on protein-based receptors (antibodies and enzymes) [109]. Afterwards, aptamers, with the most essential advantage of high affinity and selectivity to these substances, unsurprisingly, have rapidly outdated these old-fashioned biomolecules to become the first priority in designing receptors for small molecule detections, especially during the past 5 years [29,102,103,104,105,106,107,108].

4. Importance of Aptamer in FET Biosensors

4.1. FET Biosensors: Working Principles and Limitations

In biosensor applications, FET is a three-electrode system that plays a role as a transducer which converts signals produced by bio-recognition events of the detected molecules and their receptors to electrical readout. The gate electrode is used to control the potential of bias. The bio-probes are immobilized onto the sensing channel that links source and drain electrodes to capture their targets, a process which varies the channel conductance. This variation is recorded and further processed by an electrical measurement system. FETs are classified into p-type and n-type based on doping methods and charge carriers. On one hand, in p-type devices, hole aggregation will increase the conductance if the negatively charged molecules are captured by the receptors. If the positively charged molecules are sensed, the conductance will decrease due to depletion of charge carriers (holes). On the other hand, in n-type devices, the recognition of positive charges raises the conductance due to electron accumulation, whilst binding negative charges results in conductance decline due to reduction of charge carriers (electrons).
In spite of ultra-high sensitivity and label-free detection, employing FET as transducers to produce biosensors for clinical diagnosis is hindered by physiological environments with high ionic strength and interferences from non-specific binding of numerous proteins in human serum and plasma. Both of these factors severely weaken the detected signal and deteriorate sensitivity of FET biosensors.

4.2. Aptamers: Sensing Elements Overcoming Limitations of FET Biosensors

Since FETs have been employed as transducers for biosensors, antibodies are the most widely applied recognition factor because of their simplicity, low-cost synthesis and ability to be immobilized on various surfaces. Particularly, antibodies can quickly detect their corresponding targets (antigens) with high affinity and specificity in so-called immunosensors, the most popular biomedical application of biosensors. However, since the bulky structure of the antibodies and the Debye-length poses a serious threat to clinical trials of many biosensors in physiological environments, a new generation, more compact probe (antibody fragments and aptamers) was born to surpass this obstacle. Aptamers have emerged as the most prominent sensing element in comparison to other antibody-derivative candidates for some of the reasons already mentioned in Section 2. More importantly, the compact structure of aptamers lets the target capturing happen under Debye length where electrical signal is detectable. This advantage will be discussed in more detail in the next paragraph in support of the main conclusions of this paper.

5. Predicting Future Prospects of Aptamers in FET Biosensors

5.1. Aptamers as Bio-Receptors in FET Biosensors for Small Molecule Detection

Due to the rapid development of the field, the application of aptamers is productive territory for scientists to exploit, especially in the areas of diagnosis and therapeutics. Aptamers have been successfully applied in biosensing where they play roles as receptors and amplifiers. As a receptor, aptamers, in combination with various physical/chemical transducers, have triggered the development of a unique class of biosensors, so-called aptasensors, which possesses the dual function of detecting targets and producing signals from binding events [108]. The emergence of field-effect transistors has led to their integration with aptamers in order to detect a variety of molecules, most of which are macromolecules such as proteins, nucleic acids, and viruses [7,110,111].
In FET biosensor systems, aptamers are famous for replacing antibodies as bio-receptors (for the reasons mentioned in Section 1), as well as their compact structure which lets the target capturing happen under Debye length and allows electrical signal to be detected. FET biosensors have been used as a versatile tool for a wide range of molecular detection because they are one of the most powerful and ultra-sensitive transducers. Nevertheless, since the operation mechanism of FET relies on conductance change caused by charge variations on the sensing channel, recognizing binding events is only possible upon the detection of charged substances. Employing FET to detect capturing small molecules with low- or un-charged characteristics is therefore unpractical because variation from electrical signals produced by binding events between these targets and their probes is not strong enough, unstable and exhibits a low signal-to-noise ratio.
Scientists in National Chiao Tong University are the pioneers who overcome these obstructions to detect a kind of uncharged molecule by FET. In their report, 19-norandrostendione (19-NA), a steroid, was recognized at femtomolar level by Δ5-3-ketosteroid isomerase (KSI), an engineered protein, on the silicon nanowire FET channel [112,113]. However, synthesizing KSI and chemically modifying it with a carbon chain-linked 5-(2-Aminoethylamino)-1-naphthalenesulfonic acid (1,5-EDANS) moiety was elaborate, complicated and required interdisciplinary knowledge. In addition, this process no longer made their techniques label-free. Subsequent years have witnessed a continuous development of FET sensors for tiny molecules with no/feeble charge and low molecular weight including trinitrotoluene [114], glucose [115,116], aflatoxin-B1 [117], zearalenone [117], ochratoxin-A [117]. Fundamental research on the interactions between small molecules and FETs has been the focus of recent scientific attention [118].
Not so long after the appearance of the FET sensor for 19-NA was the debut of an aptasensor which detects riboflavin via the integration of DNA aptamers specifying to this molecule and FET (Zinc Oxide - ZnO and Single-Walled Carbon Nanotube - SWCNT) [119,120]. In their report, Hagen et al. exploited conformational change of aptamers after binding riboflavin, carrying their negative-charged phosphodiester backbones closer to the surface of the FET channels and inducing signal variation. Detection of adenosine triphosphate (ATP), bisphenol A (BPA), and β-estradiol by FET aptasensors was also accomplished [121,122,123,124,125] (publications fabricating FET aptasensors to detect small molecules are listed in Table 1). More recently, Nakatsuka and his colleagues depended on a similar strategy for successfully sensing serotonin, dopamine, glucose and sphingosine-1-phospate (S1P) by stem-loop aptamers and FET in a physiological environment [126]. In fact, structure-switching is a familiar mechanism which is capable of converting the binding event into detectable signals, something that has already been proved in numerous aptasensors [127,128,129,130,131].
Considering these achievements, conformational changes after target binding, admittedly, have unique advantages over aptamer in sensing insignificant-charged molecules. Abundant negative charges along aptamers’ structure which approach the proximity of the FET surface obviously solve the problem of the low electrical signal created from binding events. In addition, binding events occurring on sensing channels of FET aptasensors are under Debye length and therefore can produce a consistent signal. Once the aforementioned issues have been solved, FET, exhibiting the strong points already demonstrated (such as being ultra-sensitive, label-free, low-cost and having the potential to be commercialized (SiNW)), will be capable of detecting entities at extremely low concentrations in serum samples. FET will then become a powerful tool for various biomedical applications. It is predicted that employing induced-change in conformation (structure-switching mechanisms) after detecting the target for FET biosensors will be a focal direction for aptamer applications in the future. This is particularly so considering rapid developments in the invention of aptamers targeting small molecules in recent years as well as promising progress in the design of FET aptasensors.

5.2. Aptamers as Bio-Amplifiers for FET Biosensors

Aptamers in biosensors also have a role as amplifiers, a crucial function which boosts the signal-to-noise ratio, particularly in ultra-sensitive assays detecting targets with trace amounts and/or operating conditions with high interference (physiological environment). Aptamers have thus been successfully exerted as bio-amplifiers or assisted in amplifying detection for various types of sensors [132]. In an FET biosensor system, a majority of noises comes from the intrinsic quality of the devices [133] (flicker noise from mobility of charged carriers [134,135], thermal noise relating to conductivity and density of charged carriers [135]), whilst other contribution factors are environmental fluctuations [136], interactions between biomolecules and the channel surface [137], substrate interactions and surface adsorbates [138,139]. Furthermore, in many biomedical applications of FET nanosensors in clinical diagnosis, electrical signals actuated from the binding event are drastically weakened by the ionic screening effect, also known as Debye screening, caused by the high ionic strength of the physiological environment (>100 mM) [140]. The screening effect strongly depends on the distribution of various charged groups (positive and negative) throughout the targets and their distances to the sensing surface [141,142]. Electrical change recorded in detecting oligonucleotides, especially microRNA with short sequences, is therefore attenuated and sensitivity is deteriorated. These effects are more severe in applications of FET nanosensors with protein assays where signal shift is inconsistent and unstable [142,143]. For these reasons, an amplifier is even more essential and inevitable for FET biosensors to detect substances at their ultra-low concentration in serum and/or plasma samples.
A number of properties intrinsic to aptamers are advantageous for amplifying the signal from sensing various molecules by FET. Such properties include the possession of various structural switching mechanisms from aptamer-target complexes which can facilitate the transduction of the signal from binding events; a high affinity and selectivity to a wide variety of entities which can prevent the cross-reaction with other substances in the assays; and low molecular weight and compact structure which feasibly let the binding event occur under the Debye length and allow signal variation to be detected.
Possessing highly negative-charged backbones is the most essential and unique characteristic of aptamer which can facilitate signal enhancement of FET biosensors. Indeed, robust negative charged molecules have been successfully exploited for signal amplification of FET biosensors in several publications and have recently become more popular. The pioneer group of this creativity used the rolling circle amplification (RCA) method to produce repeated DNA sequences as amplifiers for their SiNW-FET HBA sensors. Abundant negative charges from elongated oligonucleotides on the nanowire surface significantly improved the signal-to-noise ratio of their fabricated FET biosensors by more than 20× to detect HBV DNA at a decreased concentration of 1 fM [144]. RCA was also used by Chen et al. to enhance sensitivity of aptameric extended-gate field-effect transistors (EGFETs) sensing platelet-derived growth factor (PDGF) [145]. A more complicated strategy, also based on the mechanism of negative charged DNA, was published by a group of scientists from the United States, China, Hong Kong and Ecuador. In their report, a copious amount of negative charges was created via hybridization chain reaction (HCR) and by the assistance of various DNA helpers. Amplified products from target recycling and HCR remarkably boosted the detection limit of their fabricated GFET nucleic acid sensors down to 5 fM, which is 20,000× lower in comparison to similar studies with single-stranded DNA and complementary hybridization [146].
The simplest amplification technique based on negative charges came from Osaka and his colleagues who introduced sodium dodecyl sulfate (SDS), an ionic surfactant which can couple with buckwheat protein 16 (BWp16) to provide an amplifier for their FET sensors to detect this allergenic target [147,148]. Most recently, Chen and his teammates succeeded in proving the concept of aptamer as bio-amplifier for both direct and sandwich immunoassay by SiNW-FET [143]. The application of aptamers as bio-amplifiers for FET-based biosensors has therefore become a very promising prospect. Moreover, early developments in the field which demonstrate the ability of aptamers to specifically bind with different biomolecules (thrombin, HIV proteins), as well as recent advances in aptamer targeting of small molecules, means that aptamers can potentially contribute to FET sensing technology not only as bio-probes but also as bio-amplifiers in a so-called sandwich FET aptasensors.
In such familiar architectures which have already prospered in several platforms [128,149,150,151,152], primary aptamers can be immobilized on FET channels to detect analytes (proteins, DNA, RNA, small substances, low-/un-charged molecules) before coupling with secondary aptamers for signal enhancement. This scheme potentially unblocks another approach for sensing heavy metal ions constituting a huge proportion of the biosensor market [105,153,154,155]. In summary, the continuous growth of selection technology for aptamer binding of small molecules, as well as the promising potential of FET, is likely to sustain interest in fulfilling the demands of the biosensor market.

Funding

This perspective was funded by Ministry of Science and Technology (MOST), Taiwan, grant number 108-2221-E-008-056-MY3. The APC was funded by 108-2221-E-008-056-MY3.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dahm, R. Discovering DNA: Friedrich Miescher and the Early Years of Nucleic Acid Research. Hum. Genet. 2008, 122, 565–581. [Google Scholar] [CrossRef] [PubMed]
  2. Ellington, A.D.; Szostak, J.W. In vitro Selection of RNA Molecules that Bind Specific Ligands. Nature 1990, 346, 818–822. [Google Scholar] [CrossRef] [PubMed]
  3. Tuerk, C.; Gold, L. Systematic Evolution of Ligands by Exponential Enrichment: RNA Ligands to Bacteriophage T4 DNA Polymerase. Science 1990, 249, 505–510. [Google Scholar] [CrossRef] [PubMed]
  4. Lakhin, A.V.; Tarantul, V.Z.; Gening, L.V. Aptamers: Problems, Solutions and Prospects. Acta Naturae 2013, 5, 34–43. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Centi, S.; Tombelli, S.; Minunni, M.; Mascini, M. Aptamer-Based Detection of Plasma Proteins by an Electrochemical Assay Coupled to Magnetic Beads. Anal. Chem. 2007, 79, 1466–1473. [Google Scholar] [CrossRef] [PubMed]
  6. Tombelli, S.; Minunni, M.; Mascini, M. Aptamers-Based Assays for Diagnostics, Environmental and Food Analysis. Biomol. Eng. 2007, 24, 191–200. [Google Scholar] [CrossRef] [PubMed]
  7. Khung, Y.L.; Narducci, D. Synergizing Nucleic Acid Aptamers with 1-dimensional Nanostructures as Label-free Field-effect Transistor Biosensors. Biosens. Bioelectron. 2013, 50, 278–293. [Google Scholar] [CrossRef]
  8. Ngundi, M.M.; Kulagina, N.V.; Anderson, G.P.; Taitt, C.R. Nonantibody-Based Recognition- Alternative Molecules for Detection of Pathogens. Expert Rev. Proteomics 2006, 3, 511–524. [Google Scholar] [CrossRef]
  9. Stoltenburg, R.; Reinemann, C.; Strehlitz, B. FluMag-SELEX as an Advantageous Method for DNA Aptamer Selection. Anal. Bioanal. Chem. 2005, 383, 83–91. [Google Scholar] [CrossRef]
  10. Liu, J.; Cao, Z.; Lu, Y. Functional Nucleic Acid Sensors. Chem. Rev. 2009, 109, 1948–1998. [Google Scholar] [CrossRef] [Green Version]
  11. Baird, G.S. Where Are All the Aptamers? Am. J. Clin. Pathol. 2010, 134, 529–531. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Nitsche, A.; Kurth, A.; Dunkhorst, A.; Panke, O.; Sielaff, H.; Junge, W.; Muth, D.; Scheller, F.; Stocklein, W.; Dahmen, C.; et al. One-Step Selection of Vaccinia Virus-Binding DNA Aptamers by MonoLEX. BMC Biotechnol. 2007, 7, 48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Wlotzka, B.; Leva, S.; Eschgfaller, B.; Burmeister, J.; Kleinjung, F.; Kaduk, C.; Muhn, P.; Hess-Stumpp, H.; Klussmann, S. In Vivo Properties of an Anti-GnRH Spiegelmer: An Example of an Oligonucleotide-Based Therapeutic Substance Class. Proc. Natl. Acad. Sci. USA 2002, 99, 8898–8902. [Google Scholar] [CrossRef] [Green Version]
  14. Lou, X.; Qian, J.; Xiao, Y.; Viel, L.; Gerdon, A.E.; Lagally, E.T.; Atzberger, B.; Tarasow, T.M.; Heeger, A.J.; Soh, H.T. Micromagnetic Selection of Aptamers in Microfluidic Channels. Proc. Natl. Acad. Sci. USA 2009, 106, 2989–2994. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Bowser, M.T. SELEX: Just Another Separation? Analyst 2005, 130, 128–130. [Google Scholar] [CrossRef] [PubMed]
  16. Kluβmann, S.; Nolte, A.; Bald, R.; Erdmann, V.A.; Furste, J.P. Mirror-Image RNA That Binds D-Adenosine. Nat. Biotechnol. 1996, 14, 1112–1115. [Google Scholar] [CrossRef]
  17. Nolte, A.; Kluβmann, S.; Bald, R.; Erdmann, V.A.; Furste, J.P. Mirror-Design of L-Oligonucleotide Ligands Binding to L-Arginine. Nat. Biotechnol. 1996, 14, 1116–1119. [Google Scholar] [CrossRef]
  18. Lin, H.; Zhang, W.; Jia, S.; Guan, Z.; Yang, C.J.; Zhu, Z. Microfluidic Approaches to Rapid and Efficient Aptamer Selection. Biomicrofluidic 2014, 8, 041501. [Google Scholar] [CrossRef]
  19. Ali, M.H.; Elsherbiny, M.E.; Emara, M. Updates on Aptamer Research. Int. J. Mol. Sci. 2019, 20, 2511. [Google Scholar] [CrossRef] [Green Version]
  20. Damase, T.R.; Miura, T.A.; Parent, C.E.; Allen, P.B. Application of the Open qPCR Instrument for the In Vitro Selection of DNA Aptamers Against Epidermal Growth Factor Receptor and Drosophila C Virus. ACS. Comb. Sci. 2018, 20, 45–54. [Google Scholar] [CrossRef]
  21. Hoon, S.; Zhou, B.; Janda, K.D.; Brenner, S.; Scolnick, J. Aptamer Selection by High-Throughput Sequencing and Informatic Analysis. Biotechniques 2011, 51, 413–416. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Mendonsa, S.D.; Bowser, M.T. In Vitro Evolution of Functional DNA Using Capillary Electrophoresis. J. Am. Chem. Soc. 2004, 126, 20–21. [Google Scholar] [CrossRef] [PubMed]
  23. Drabovich, A.; Berezovski, M.; Krylov, S.N. Selection of Smart Aptamers by Equilibrium Capillary Electrophoresis of Equilibrium Mixtures (ECEEM). J. Am. Chem. Soc. 2005, 127, 11224–11225. [Google Scholar] [CrossRef] [PubMed]
  24. Berezovski, M.V.; Musheev, M.U.; Drabovich, A.P.; Jitkova, J.V.; Krylov, S.N. Non-Selex: Selection of Aptamers Without Intermediate Amplification of Candidate Oligonucleotides. Nat. Protoc. 2006, 1, 1359–1369. [Google Scholar] [CrossRef]
  25. Peng, L.; Stephens, B.J.; Bonin, K.; Cubicciotti, R.; Guthold, M. Combined Atomic Force/Fluorescence Microscopy Technique to Select Aptamers in a Single Cycle from a Small Pool of Random Oligonucleotides. Microsc. Res. Tech. 2007, 70, 372–381. [Google Scholar] [CrossRef] [Green Version]
  26. Szeto, K.; Latulippe, D.R.; Ozer, A.; Pagano, J.M.; White, B.S.; Shalloway, D.; Lis, J.T.; Craighead, H.G. RAPID-SELEX for RNA Aptamers. PLoS ONE 2013, 8, e82667. [Google Scholar] [CrossRef] [Green Version]
  27. Ouellet, E.; Foley, J.H.; Conway, E.M.; Haynes, C. Hi-Fi SELEX: A High-Fidelity Digital-PCR Based Therapeutic Aptamer Discovery Platform. Biotechnol. Bioeng. 2015, 112, 1506–1522. [Google Scholar] [CrossRef]
  28. Hamula, C.L.A.; Guthrie, J.W.; Zhang, H.; Li, X.-F.; Le, X.C. Selection and Analytical Applications of Aptamers. Trends Anal. Chem. 2006, 25, 681–691. [Google Scholar] [CrossRef]
  29. Hanif, A.; Farooq, R.; Rehman, M.U.; Khan, R.; Majid, S.; Ganaie, M.A. Aptamer Based Nanobiosensors: Promising Healthcare Devices. Saudi Pharm. J. 2019, 27, 312–319. [Google Scholar] [CrossRef]
  30. Oliphant, A.R.; Brandl, C.J.; Struhl, K. Defining the Sequence Specificity of DNA-Binding Proteins by Selecting Binding Sites from Random-Sequence Oligonucleotides: Analysis of Yeast GCN4 Protein. Mol. Cell. Biol. 1989, 9, 2944–2949. [Google Scholar] [CrossRef]
  31. Schneider, D.; Tuerk, C.; Gold, L. Selection of High Affinity RNA Ligands to The Bacteriophage R17 Coat Protein. J. Mol. Biol. 1992, 228, 862–869. [Google Scholar] [CrossRef]
  32. Peterson, E.T.; Blank, J.; Sprinzl, M.; Uhlenbeck, O.C. Selection for Active E. coli tRNAPhe Variants from a Randomized Library Using Two Proteins. EMBO J. 1993, 12, 2959–2967. [Google Scholar] [CrossRef] [PubMed]
  33. Peterson, E.T.; Pan, T.; Coleman, J.; Uhlenbeck, O.C. In Vitro Selection of Small RNAs that Bind to Escherichia coli Phenylalanyl-tRNA Synthetase. J. Mol. Biol. 1994, 242, 186–192. [Google Scholar] [CrossRef] [PubMed]
  34. Ringquist, S.; Jones, T.; Snyder, E.E.; Gibson, T.; Boni, I.; Gold, L. High-Affinity RNA Ligands to Escherichia Coli Ribosomes and Ribosomal Protein S1: Comparison of Natural and Unnatural Binding Sites. Biochemistry 1995, 34, 3640–3648. [Google Scholar] [CrossRef]
  35. Tsai, D.E.; Harper, D.S.; Keene, J.D. U1-snRNP-A Protein Selects a Ten Nucleotide Consensus Sequence from a Degenerate RNA Pool Presented in Various Structural Contexts. Nucleic Acids Res. 1991, 19, 4931–4936. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Levine, T.D.; Gao, F.; King, P.H.; Andrews, L.G.; Keene, J.D. Hel-N1: An Autoimmune RNA-Binding Protein with Specificity for 3’ Uridylate-Rich Untranslated Regions of Growth Factor mRNAs. Mol. Cell. Biol. 1993, 13, 3494–3504. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Jellinek, D.; Lynott, C.K.; Rifkin, D.B.; Janjic, N. High-Affinity RNA Ligands to Basic Fibroblast Growth Factor Inhibit Receptor Binding. Proc. Natl. Acad. Sci. USA 1993, 90, 11227–11231. [Google Scholar] [CrossRef] [Green Version]
  38. Tian, Y.; Adya, N.; Wagner, S.; Giam, C.-Z.; Green, M.R.; Ellington, A.D. Dissecting Protein: Protein Interactions Between Transcription Factors with an RNA Aptamer. RNA 1995, 1, 317–326. [Google Scholar]
  39. Chen, H.; Gold, L. Selection of High-Affinity RNA Ligands to Reverse Transcriptase: Inhibition of cDNA Synthesis and RNase H Activity. Biochemistry 1994, 33, 8746–8756. [Google Scholar] [CrossRef]
  40. Bock, L.C.; Griffin, L.C.; Latham, J.A.; Vermaas, E.H.; Toole, J.J. Selection of Single-Stranded DNA Molecules that Bind and Inhibit Human Thrombin. Nature 1992, 355, 564–566. [Google Scholar] [CrossRef]
  41. Tasset, D.M.; Kubik, M.F.; Steiner, W. Oligonucleotide Inhibitors of Human Thrombin that Bind Distinct Epitopes. J. Mol. Biol. 1997, 272, 688–698. [Google Scholar] [CrossRef] [PubMed]
  42. Kubik, M.F.; Stephens, A.W.; Schneider, D.; Marlar, R.A.; Tasset, D. High-Affinity RNA Ligands to Human α-Thrombin. Nucleic Acids Res. 1994, 22, 2619–2626. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Tuerk, C.; MacDougal-Waugh, S. In Vitro Evolution of Functional Nucleic Acids: High-Affinity RNA Ligands of HIV-1 Proteins. Gene 1993, 137, 33–39. [Google Scholar] [CrossRef]
  44. Bartel, D.P.; Zapp, M.L.; Green, M.R.; Szostak, J.W. HIV-1 Rev Regulation Involves Recognition of Non-Watson-Crick Base Pairs in Viral RNA. Cell 1991, 67, 529–536. [Google Scholar] [CrossRef]
  45. Tuerk, C.; MacDougal, S.; Gold, L. RNA Pseudoknots that Inhibit Human Immunodeficiency Virus Type 1 Reverse Transcriptase. Proc. Natl. Acad. Sci. USA 1992, 89, 6988–6992. [Google Scholar] [CrossRef] [Green Version]
  46. Andreola, M.-L.; Pileur, F.; Calmels, C.; Ventura, M.; Tarrago-Litvak, L.; Toulme, J.-J.; Litvak, S. DNA Aptamers Selected Against the HIV-1 RNase H Display in Vitro Antiviral Activity. Biochemistry 2001, 40, 10087–10094. [Google Scholar] [CrossRef]
  47. De Soultrait, V.R.; Lozach, P.-Y.; Altmeyer, R.; Tarrago-Litvak, L.; Litvak, S.; Andreola, M.-L. DNA Aptamers Derived from HIV-1 RNase H Inhibitors Are Strong Anti-Integrase Agents. J. Mol. Biol. 2002, 324, 195–203. [Google Scholar] [CrossRef]
  48. Joshi, P.J.; North, T.W.; Prasad, V.R. Aptamers Directed to HIV-1 Reverse Transcriptase Display Greater Efficacy over Small Hairpin RNAs Targeted to Viral RNA in Blocking HIV-1 Replication. Mol. Ther. 2005, 11, 677–686. [Google Scholar] [CrossRef]
  49. Kissel, J.D.; Held, D.M.; Hardy, R.W.; Burke, D.H. Single-Stranded DNA Aptamer RT1t49 Inhibits RT Polymerase and RNase H Functions of HIV Type 1, HIV Type 2, and SIVCPZ RTs. AIDS Res. Hum. Retrovir. 2007, 23, 699–708. [Google Scholar] [CrossRef]
  50. Kissel, J.D.; Held, D.M.; Hardy, R.W.; Burke, D.H. Active Site Binding and Sequence Requirements for Inhibition of HIV-1 Reverse Transcriptase by the RT1 Family of Single-Stranded DNA Aptamers. Nucleic Acids Res. 2007, 35, 5039–5050. [Google Scholar] [CrossRef]
  51. Li, N.; Wang, Y.; Pothukuchy, A.; Syrett, A.; Husain, N.; Gopalakrisha, S.; Kosaraju, P.; Ellington, A.D. Aptamers that Recognize Drug-Resistant HIV-1 Reverse Transcriptase. Nucleic Acids Res. 2008, 36, 6739–6751. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Shiang, Y.-C.; Ou, C.-M.; Chen, S.-J.; Ou, T.-Y.; Lin, H.-J.; Huang, C.-C.; Chang, H.-T. Highly Efficient Inhibition of Human Immunodeficiency Virus Type 1 Reverse Transcriptase by Aptamers Functionalized Gold Nanoparticles. Nanoscale 2013, 5, 2756–2764. [Google Scholar] [CrossRef] [PubMed]
  53. Banerjee, J.; Nilsen-Hamilton, M. Aptamers: Multifunctional Molecules for Biomedical Research. J. Mol. Med. 2013, 91, 1333–1342. [Google Scholar] [CrossRef] [PubMed]
  54. Groff, K.; Brown, J.; Clippinger, A.J. Modern Affinity Reagents: Recombinant Antibodies and Aptamers. Biotechnol. Adv. 2015, 33, 1787–1798. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Hu, P.-P. Recent Advances in Aptamers Targeting Immune System. Inflammation 2017, 40, 295–302. [Google Scholar] [CrossRef] [PubMed]
  56. Majerfeld, I.; Yarus, M. An RNA Pocket for an Aliphatic Hydrophobe. Nat. Struct. Mol. Biol. 1994, 1, 287–292. [Google Scholar] [CrossRef]
  57. Majerfeld, I.; Yarus, M. Isoleucine: RNA Sites with Associated Coding Sequences. RNA 1998, 4, 471–478. [Google Scholar]
  58. Famulok, M.; Szostak, J.W. Stereospecific Recognition of Tryptophan Agarose by In Vitro Selected RNA. J. Am. Chem. Soc. 1992, 114, 3990–3991. [Google Scholar] [CrossRef]
  59. Famulok, M. Molecular Recognition of Amino Acids by RNA-Aptamers: An L-Citrulline Binding RNA Motif and Its Evolution into an L-Arginine Binder. J. Am. Chem. Soc. 1994, 116, 1698–1706. [Google Scholar] [CrossRef]
  60. Wallis, M.G.; Ahsen, U.V.; Schroeder, R.; Famulok, M. A Novel RNA Motif for Neomycin Recognition. Chem. Biol. 1995, 2, 543–552. [Google Scholar] [CrossRef] [Green Version]
  61. Wang, Y.; Rando, R.R. Specific Binding of Aminoglycoside Antibiotics to RNA. Chem. Biol. 1995, 2, 281–290. [Google Scholar] [CrossRef] [Green Version]
  62. Wallace, S.T.; Schroeder, R. In Vitro Selection and Characterization of Streptomycin-Binding RNAs: Recognition Discrimination Between Antibiotics. RNA 1998, 4, 112–123. [Google Scholar] [PubMed]
  63. Wallis, M.G.; Streicher, B.; Wank, H.; Ahsen, U.V.; Clodi, E.; Wallace, S.T.; Famulok, M.; Schroeder, R. In Vitro Selection of a Viomycin-Binding RNA Pseudoknot. Chem. Biol. 1997, 4, 357–366. [Google Scholar] [CrossRef] [Green Version]
  64. Lato, S.M.; Boles, A.R.; Ellington, A.D. In Vitro Selection of RNA Lectins: Using Combinatorial Chemistry to Interpret Ribozyme Evolution. Chem. Biol. 1995, 2, 291–303. [Google Scholar] [CrossRef] [Green Version]
  65. Connell, G.J.; Yarus, M. RNAs with Dual Specificity and Dual RNAs with Similar Specificity. Science 1994, 264, 1137–1141. [Google Scholar] [CrossRef]
  66. Lorsch, J.R.; Szostak, J.W. In Vitro Selection of RNA Aptamers Specific for Cyanocobalamin. Biochemistry 1994, 33, 973–982. [Google Scholar] [CrossRef]
  67. Kiga, D.; Futamura, Y.; Sakamoto, K.; Yokoyama, S. An RNA Aptamer to the Xanthine/Guanine Base with a Distinctive Mode of Purine Recognition. Nucleic Acids Res. 1998, 26, 1755–1760. [Google Scholar] [CrossRef]
  68. Burgstaller, P.; Famulok, M. Isolation of RNA Aptamers for Biological Cofactors by In Vitro Selection. Angew. Chem. Int. Ed. Engl. 1994, 33, 1084–1087. [Google Scholar] [CrossRef]
  69. Mannironi, C.; Nardo, A.D.; Fruscoloni, P.; Tocchini-Valentini, G.P. In Vitro Selection of Dopamine RNA Ligands. Biochemistry 1997, 36, 9726–9734. [Google Scholar] [CrossRef]
  70. Holeman, L.A.; Robinson, S.L.; Szostak, J.W.; Wilson, C. Isolation and Characterization of Fluorophore-Binding RNA Aptamers. Fold. Des. 1998, 3, 423–431. [Google Scholar] [CrossRef] [Green Version]
  71. Jenison, R.D.; Gill, S.C.; Pardi, A.; Polisky, B. High-Resolution Molecular Discrimination by RNA. Science 1994, 263, 1425–1429. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Famulok, M. Oligonucleotide Aptamers that Recognize Small Molecules. Curr. Opin. Struct. Biol. 1999, 9, 324–329. [Google Scholar] [CrossRef]
  73. Batey, R.T.; Rambo, R.P.; Doudna, J.A. Tertiary Motifs in RNA Structure and Folding. Angew. Chem. Int. Ed. 1999, 38, 2326–2343. [Google Scholar] [CrossRef]
  74. Ruscito, A.; DeRosa, M.C. Small-Molecule Binding Aptamers: Selection Strategies, Characterization, and Applications. Front. Chem. 2016, 4, 14. [Google Scholar] [CrossRef]
  75. McKeague, M.; DeRosa, M.C. Challenges and Opportunities for Small Molecule Aptamer Development. J. Nucleic Acids 2012, 2012, 748913. [Google Scholar] [CrossRef]
  76. Mascini, M.; Palchetti, I.; Tombelli, S. Nucleic Acid and Peptide Aptamers: Fundamentals and Bioanalytical Aspects. Angew. Chem. Int. Ed. 2012, 51, 1316–1332. [Google Scholar] [CrossRef]
  77. Alsager, O.A.; Kumar, S.; Willmott, G.R.; MacNatty, K.P.; Hodgkiss, J.M. Small Molecule Detection in Solution via the Size Contraction Response of Aptamer Functionalized Nanoparticles. Biosens. Bioelectron. 2014, 57, 262–268. [Google Scholar] [CrossRef]
  78. Elshafey, R.; Siaj, M.; Zourob, M. DNA Aptamers Selection and Characterization for Development of Label-Free Impedimetric Aptasensor for Neurotoxin Anatoxin-A. Biosens. Bioelectron. 2015, 68, 295–302. [Google Scholar] [CrossRef]
  79. Eissa, S.; Siaj, M.; Zourob, M. Aptamer-Based Competitive Electrochemical Biosensor for Brevetoxin-2. Biosens. Bioelectron. 2015, 69, 148–154. [Google Scholar] [CrossRef]
  80. Williams, R.M.; Kulick, A.R.; Yedlapalli, S.; Battistella, L.; Hajiran, C.J.; Sooter, L.J. In Vitro Selection of a Single-Stranded DNA Molecular Recognition Element Specific for Bromacil. J. Nucleic Acids 2014, 2014, 102968. [Google Scholar] [CrossRef] [Green Version]
  81. Han, S.R.; Yu, J.; Lee, S.-W. In Vitro Selection of RNA Aptamers that Selectively Bind Danofloxacin. Biochem. Biophys. Res. Commun. 2014, 448, 397–402. [Google Scholar] [CrossRef]
  82. Kiani, Z.; Shafiei, M.; Rahimi-Moghaddam, P.; Karkhane, A.A.; Ebrahimi, S.A. In Vitro Selection and Characterization of Deoxyribonucleic Acid Aptamers for Digoxin. Anal. Chim. Acta 2012, 748, 67–72. [Google Scholar] [CrossRef] [PubMed]
  83. Kim, C.-H.; Lee, L.-P.; Min, J.-R.; Lim, M.-W.; Jeong, S.-H. An Indirect Competitive Assay-Based Aptasensor for Detection of Oxytetracycline in Milk. Biosens. Bioelectron. 2014, 51, 426–430. [Google Scholar] [CrossRef] [PubMed]
  84. Reinemann, C.; Fritsch, U.F.V.; Rudolph, F.; Strehlitz, B. Generation and Characterization of Quinolone-Specific DNA Aptamers Suitable for Water Monitoring. Biosens. Bioelectron. 2016, 77, 1039–1047. [Google Scholar] [CrossRef]
  85. Purschke, W.G.; Hoehlig, K.; Buchner, K.; Zboralski, D.; Schwoebel, F.; Vater, A.; Klussmann, S. Identification and Characterization of a Mirror-Image Oligonucleotide that Binds and Neutralizes Sphingosine 1-Phosphate, a Central Mediator of Angiogenesis. Biochem. J. 2014, 462, 153–162. [Google Scholar] [CrossRef] [Green Version]
  86. Chen, X.; Huang, Y.; Duan, N.; Wu, S.; Xia, Y.; Ma, X.; Zhu, C.; Jiang, Y.; Wang, Z. Screening and Identification of DNA Aptamers Against T-2 Toxin Assisted by Graphene Oxide. J. Agric. Food Chem. 2014, 62, 10368–10374. [Google Scholar] [CrossRef]
  87. Dolgosheina, E.V.; Jeng, S.C.Y.; Panchapakesan, S.S.S.; Cojocaru, R.; Chen, P.S.K.; Wilson, P.D.; Hawkins, N.; Wiggins, P.A.; Unrau, P.J. RNA Mango Aptamer-Fluorophore: A Bright, High-Affinity Complex for RNA Labeling and Tracking. ACS Chem. Biol. 2014, 9, 2412–2420. [Google Scholar] [CrossRef]
  88. Chen, X.; Huang, Y.; Duan, N.; Wu, S.; Ma, X.; Xia, Y.; Zhu, C.; Jiang, Y.; Wang, Z. Selection and Identification of ssDNA Aptamers Recognizing Zearalenone. Anal. Bioanal. Chem. 2013, 405, 6573–6581. [Google Scholar] [CrossRef] [PubMed]
  89. Ahn, J.-Y.; Lee, S.; Jo, M.; Kang, J.; Kim, E.; Jeong, O.C.; Laurell, T.; Kim, S. Sol–Gel Derived Nanoporous Compositions for Entrapping Small Molecules and Their Outlook Toward Aptamer Screening. Anal. Chem. 2012, 84, 2647–2653. [Google Scholar] [CrossRef] [PubMed]
  90. Kammer, M.N.; Olmsted, I.R.; Kussrow, A.K.; Morris, M.J.; Jackson, G.W.; Bornhop, D.J. Characterizing Aptamer Small Molecule Interactions with Backscattering Interferometry. Analyst 2014, 139, 5879–5884. [Google Scholar] [CrossRef] [PubMed]
  91. Entzian, C.; Schubert, T. Studying Small Molecule–Aptamer Interactions Using MicroScale Thermophoresis (MST). Methods 2016, 97, 27–34. [Google Scholar] [CrossRef] [PubMed]
  92. Frost, N.R.; McKeague, M.; Falcioni, D.; DeRosa, M.C. An In Solution Assay for Interrogation of Affinity and Rational Minimer Design for Small Molecule-Binding Aptamers. Analyst 2015, 140, 6643–6651. [Google Scholar] [CrossRef] [PubMed]
  93. Sanchez-Luque, F.J.; Stich, M.; Manrubia, S.; Briones, C.; Berzal-Herranz, A. Efficient HIV-1 Inhibition by a 16 NT-Long RNA Aptamer Designed by Combining In Vitro Selection and In Silico Optimisation Strategies. Sci. Rep. 2014, 4, 6242. [Google Scholar] [CrossRef] [PubMed]
  94. McKeague, M.; Girolamo, A.D.; Valenzano, S.; Pascale, M.; Ruscito, A.; Velu, R.; Frost, N.A.; Hill, K.; Smith, M.; McConnell, E.M.; et al. Comprehensive Analytical Comparison of Strategies Used for Small Molecule Aptamer Evaluation. Anal. Chem. 2015, 87, 8608–8612. [Google Scholar] [CrossRef] [Green Version]
  95. Yang, K.-A.; Pei, R.; Stojanovic, M.N. In Vitro Selection and Amplification Protocols for Isolation of Aptameric Sensors for Small Molecules. Methods 2016, 106, 58–65. [Google Scholar] [CrossRef] [Green Version]
  96. Chang, A.L.; McKeague, M.; Liang, J.C.; Smolke, C.D. Kinetic and Equilibrium Binding Characterization of Aptamers to Small Molecules Using a Label-Free, Sensitive, and Scalable Platform. Anal. Chem. 2014, 86, 3273–3278. [Google Scholar] [CrossRef]
  97. Perez-Gonzalez, C.; Lafontaine, D.A.; Penedo, J.C. Fluorescence-Based Strategies to Investigate the Structure and Dynamics of Aptamer-Ligand Complexes. Front. Chem. 2016, 4, 33. [Google Scholar] [CrossRef] [Green Version]
  98. Lin, P.-H.; Tsai, C.-W.; Wu, J.W.; Ruaan, R.-C.; Chen, W.-Y. Molecular Dynamics Simulation of the Induced-Fit Binding Process of DNA Aptamer and L-Argininamide. Biotechnol. J. 2012, 7, 1367–1375. [Google Scholar] [CrossRef]
  99. Hasegawa, H.; Savory, N.; Abe, K.; Ikebukuro, K. Methods for Improving Aptamer Binding Affinity. Molecules 2016, 21, 421. [Google Scholar] [CrossRef]
  100. Zhuo, Z.; Yu, Y.; Wang, M.; Li, J.; Zhang, Z.; Liu, J.; Wu, X.; Lu, A.; Zhang, G.; Zhang, B. Recent Advances in SELEX Technology and Aptamer Applications in Biomedicine. Int. J. Mol. Sci. 2017, 18, 2142. [Google Scholar] [CrossRef] [Green Version]
  101. Hassanzadeh, L.; Chen, S.; Veedu, R.N. Radiolabeling of Nucleic Acid Aptamers for Highly Sensitive Disease-Specific Molecular Imaging. Pharmaceuticals 2018, 11, 106. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Yoshida, W.; Abe, K.; Ikebukuro, K. Emerging Techniques Employed in Aptamer-Based Diagnostic Tests. Expert Rev. Mol. Diagn. 2014, 14, 143–151. [Google Scholar] [CrossRef] [PubMed]
  103. Feng, C.; Dai, S.; Wang, L. Optical Aptasensors for Quantitative Detection of Small Biomolecules: A Review. Biosens. Bioelectron. 2014, 59, 64–74. [Google Scholar] [CrossRef] [PubMed]
  104. Verma, N.; Bhardwaj, A. Biosensor Technology for Pesticides—A review. Appl. Biochem. Biotechnol. 2015, 175, 3093–3119. [Google Scholar] [CrossRef]
  105. Pfeiffer, F.; Mayer, G. Selection and Biosensor Application of Aptamers for Small Molecules. Front. Chem. 2016, 4, 25. [Google Scholar] [CrossRef] [Green Version]
  106. Nguyen, V.-T.; Kwon, Y.S.; Gu, M.B. Aptamer-Based Environmental Biosensors for Small Molecule Contaminants. Curr. Opin. Biotechnol. 2017, 45, 15–23. [Google Scholar] [CrossRef]
  107. Zhang, W.; Liu, Q.X.; Guo, Z.H.; Lin, J.S. Practical Application of Aptamer-Based Biosensors in Detection of Low Molecular Weight Pollutants in Water Sources. Molecules 2018, 23, 344. [Google Scholar] [CrossRef] [Green Version]
  108. Munzar, J.D.; Ng, A.; Juncker, D. Duplexed Aptamers: History, Design, Theory, and Application to Biosensing. Chem. Soc. Rev. 2019, 48, 1390–1419. [Google Scholar] [CrossRef]
  109. Wang, X.-H.; Wang, S. Sensors and Biosensors For the Determination of Small Molecule Biological Toxins. Sensors 2008, 8, 6045–6054. [Google Scholar] [CrossRef]
  110. Carolina, A.; Moraes, M.D.; Kubota, L.T. Recent Trends in Field-Effect Transistors-Based Immunosensors. Chemosensors 2016, 4, 20. [Google Scholar]
  111. Syu, Y.-C.; Hsu, W.-E.; Lin, C.-T. Review—Field-Effect Transistor Biosensing: Devices and Clinical Applications. ECS J. Solid State Sci. Technol. 2018, 7, Q3196–Q3207. [Google Scholar] [CrossRef]
  112. Sheu, J.-T.; Chen, C.C.; Chang, K.S.; Li, Y.-K. A Possibility of Detection of the Non-Charge based Analytes Using Ultra-Thin Body Field-Effect Transistors. Biosens. Bioelectron. 2008, 23, 1883–1886. [Google Scholar] [CrossRef] [PubMed]
  113. Chang, K.S.; Chen, C.C.; Sheu, J.T.; Li, Y.-K. Detection of an Uncharged Steroid with a Silicon Nanowire Field-Effect Transistor. Sens. Actuators B Chem. 2009, 138, 148–153. [Google Scholar] [CrossRef]
  114. Park, M.; Cella, L.N.; Chen, W.; Myung, N.V.; Mulchandani, A. Carbon Nanotubes-Based Chemiresistive Immunosensor for Small Molecules: Detection of Nitroaromatic Explosives. Biosens. Bioelectron. 2010, 26, 1297–1301. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Cella, L.N.; Chen, W.; Myung, N.V.; Mulchandani, A. Single-Walled Carbon Nanotube-Based Chemiresistive Affinity Biosensors for Small Molecules: Ultrasensitive Glucose Detection. J. Am. Chem. Soc. 2010, 132, 5024–5026. [Google Scholar] [CrossRef] [Green Version]
  116. Zhu, Y.; Hao, Y.; Adogla, E.A.; Yan, J.; Li, D.; Xu, K.; Wang, Q.; Hone, J.; Lin, Q. A Graphene-Based Affinity Nanosensor for Detection of Low-Charge and Low-Molecular-Weight Molecules. Nanoscale 2016, 8, 5815–5819. [Google Scholar] [CrossRef]
  117. Ah, C.S.; Park, C.W.; Yang, J.-H.; Lee, J.S.; Kim, W.-J.; Chung, K.H.; Choi, Y.H.; Baek, I.B.; Kim, J.; Sung, G.Y. Detection of Uncharged or Feebly Charged Small Molecules by Field-Effect Transistor Biosensors. Biosens. Bioelectron. 2012, 33, 233–240. [Google Scholar] [CrossRef]
  118. Himori, S.; Nishitani, S.; Sakata, T. Control of Potential Response to Small Biomolecules with Electrochemically Grafted Aryl-Based Monolayer in Field-Effect Transistor-Based Sensors. Langmuir 2019, 35, 3701–3709. [Google Scholar] [CrossRef]
  119. Hagen, J.A.; Kim, S.N.; Bayraktaroglu, B.; Kelley-Loughnane, N.; Naik, R.R.; Stone, M.O. DNA Aptamer Functionalized Zinc Oxide Field Effect Transistors for Liquid State Selective Sensing of Small Molecules. In Proceedings of the SPIE NanoScience + Engineering, Proceedings Volume 7759, Biosensing III. San Diego, CA, USA, 24 August 2010. [Google Scholar]
  120. Hagen, J.A.; Kim, S.N.; Kelley-Loughnane, N.; Naik, R.R.; Stone, M.O. Selective Vapor Phase Sensing of Small Molecules Using Biofunctionalized Field Effect Transistors. In Proceedings of the SPIE Defense, Security, and Sensing, Proceedings Volume 8018, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XII. Orlando, FL, USA, 3 June 2011. [Google Scholar]
  121. Lee, J.; Jo, M.; Kim, T.H.; Ahn, J.-Y.; Lee, D.-K.; Kim, S.; Hong, S. Aptamer Sandwich-Based Carbon Nanotube Sensors for Single-Carbon-Atomic-Resolution Detection of Non-Polar Small Molecular Species. Lab Chip 2011, 11, 52–56. [Google Scholar] [CrossRef]
  122. Das, B.K.; Tlili, C.; Badhulika, S.; Cella, L.N.; Chen, W.; Mulchandani, A. Single-Walled Carbon Nanotubes Chemiresistor Aptasensors for Small Molecules: Picomolar Level Detection of Adenosine Triphosphate. Chem. Commun. 2011, 47, 3793–3795. [Google Scholar] [CrossRef] [Green Version]
  123. Zheng, H.Y.; Alsager, O.A.; Wood, C.S.; Hodgkiss, J.M.; Plank, N.O.V. Carbon Nanotube Field Effect Transistor Aptasensors for Estrogen Detection in Liquids. J. Vac. Sci. Technol. B 2015, 33, 06F904. [Google Scholar] [CrossRef]
  124. Mukherjee, S.; Meshik, X.; Choi, M.; Farid, S.; Datta, D.; Lan, Y.; Poduri, S.; Sarkar, K.; Baterdene, U.; Huang, C.-E.; et al. A Graphene and Aptamer Based Liquid Gated FET-Like Electrochemical Biosensor to Detect Adenosine Triphosphate. IEEE Trans. Nanobiosci. 2015, 14, 967–972. [Google Scholar] [CrossRef] [PubMed]
  125. Kim, S.G.; Lee, J.S.; Jun, J.; Shin, D.H.; Jang, J. Ultrasensitive Bisphenol A Field-Effect Transistor Sensor Using an Aptamer-Modified Multichannel Carbon Nanofiber Transducer. ACS Appl. Mater. Interfaces 2016, 8, 6602–6610. [Google Scholar] [CrossRef] [PubMed]
  126. Nakatsuka, N.; Yang, K.-A.; Abendroth, J.M.; Cheung, K.M.; Xu, X.; Yang, H.; Zhao, C.; Zhu, B.; Rim, Y.S.; Yang, Y.; et al. Aptamer–Field-Effect Transistors Overcome Debye Length Limitations for Small-Molecule Sensing. Science 2018, 362, 319–324. [Google Scholar] [CrossRef]
  127. Nutiu, R.; Li, Y. Structure-Switching Signaling Aptamers: Transducing Molecular Recognition into Fluorescence Signaling. Chem. Eur. J. 2004, 10, 1868–1876. [Google Scholar] [CrossRef]
  128. Han, K.; Liang, Z.; Zhou, N. Design Strategies for Aptamer-Based Biosensors. Sensors 2010, 10, 4541–4557. [Google Scholar] [CrossRef] [Green Version]
  129. Vallee-Belisle, A.; Plaxco, K.W. Structure-Switching Biosensors: Inspired by Nature. Curr. Opin. Struct. Biol. 2010, 20, 518–526. [Google Scholar] [CrossRef] [Green Version]
  130. Chen, J.; Fang, Z.; Liu, J.; Zeng, L. A Simple and Rapid Biosensor for Ochratoxin A based On a Structure-Switching Signaling Aptamer. Food Control 2012, 25, 555–560. [Google Scholar] [CrossRef]
  131. Zhang, J.; Zhang, X.; Yang, G.; Chen, J.; Wang, S. A Signal-On Fluorescent Aptasensor Based on Tb3+ and Structure-Switching Aptamer for Label-Free Detection of Ochratoxin A in Wheat. Biosens. Bioelectron. 2013, 41, 704–709. [Google Scholar] [CrossRef]
  132. Li, F.; Zhang, H.; Wang, Z.; Newbigging, A.M.; Reid, M.S.; Li, X.-F.; Le, X.C. Aptamers Facilitating Amplified Detection of Biomolecules. Anal. Chem. 2015, 87, 274–282. [Google Scholar] [CrossRef]
  133. Rajan, N.K.; Routenberg, D.A.; Reed, M.A. Optimal Signal-To-Noise Ratio for Silicon Nanowire Biochemical Sensors. Appl. Phys. Lett. 2011, 98, 264107. [Google Scholar] [CrossRef] [Green Version]
  134. Heller, I.; Chatoor, S.; Mannik, J.; Zevengergen, M.A.G.; Oostinga, J.B.; Morpurgo, A.F.; Dekker, C.; Lemay, S.G. Charge Noise in Graphene Transistors. Nano Lett. 2010, 10, 1563–1567. [Google Scholar] [CrossRef] [PubMed]
  135. Deen, M.J.; Shinwari, M.W.; Ranuarez, J.C.; Landheer, D. Noise Considerations in Field-Effect Biosensors. J. Appl. Phys. 2006, 100, 074703. [Google Scholar] [CrossRef]
  136. Mannik, J.; Heller, I.; Janssens, A.M.; Lemay, S.G.; Dekker, C. Charge Noise in Liquid-Gated Single-Wall Carbon Nanotube Transistors. Nano Lett. 2008, 8, 685–688. [Google Scholar] [CrossRef]
  137. Rosenstein, J.; Sorgenfrei, S.; Shepard, K.L. Noise and bandwidth performance of single-molecule biosensors. In Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, San Jose, CA, USA, 19–21 September 2011. [Google Scholar]
  138. Sharf, T.; Kevek, J.W.; DeBorde, T.; Wardini, J.L.; Minot, E.D. Origins of Charge Noise in Carbon Nanotube Field-Effect Transistor Biosensors. Nano Lett. 2012, 12, 6380–6384. [Google Scholar] [CrossRef]
  139. Mattmann, M.; Helbling, T.; Durrer, L.; Roman, C.; Pohle, R.; Fleischer, M.; Hierold, C. Hysteresis Reduction and Measurement Range Enhancement of Carbon Nanotube Based NO2 Gas Sensors by Pulsed Gate Voltages. In Proceedings of the Eurosensors XXIII Conference, Lausanne, Switzerland, 6–9 September 2009; Curran: New York, NY, USA. [Google Scholar]
  140. Stern, E.; Wagner, R.; Sigworth, F.J.; Breaker, R.; Fahmy, T.M.; Reed, M.A. Importance of the Debye Screening Length on Nanowire Field Effect Transistor Sensors. Nano Lett. 2007, 7, 3405–3409. [Google Scholar] [CrossRef] [Green Version]
  141. Zhang, G.-J.; Zhang, G.; Chua, J.H.; Chee, R.-E.; Wong, E.H.; Agarwal, A.; Buddharaju, K.D.; Singh, N.; Gao, Z.; Balasubramanian, N. DNA Sensing by Silicon Nanowire: Charge Layer Distance Dependence. Nano Lett. 2008, 8, 1066–1070. [Google Scholar] [CrossRef]
  142. De Vico, L.; Iversen, L.; Sorensen, M.H.; Brandbyge, M.; Nygard, J.; Martinez, K.L.; Jensen, J.H. Predicting and Rationalizing the Effect of Surface Charge Distribution and Orientation on Nano-wire Based FET Bio-sensors. Nanoscale 2011, 3, 2635–2640. [Google Scholar] [CrossRef]
  143. Vu, C.-A.; Hu, W.-P.; Yang, Y.-S.; Chan, H.W.-H.; Chen, W.-Y. Signal Enhancement of Silicon Nanowire Field-Effect Transistor Immunosensors by RNA Aptamer. ACS Omega 2019, 4, 14765–14771. [Google Scholar] [CrossRef] [Green Version]
  144. Gao, A.; Zou, N.; Dai, P.; Lu, N.; Li, T.; Wang, Y.; Zhao, J.; Mao, H. Signal-to-Noise Ratio Enhancement of Silicon Nanowires Biosensor with Rolling Circle Amplification. Nano Lett. 2013, 13, 4123–4130. [Google Scholar] [CrossRef]
  145. Lin, M.-Y.; Hsu, W.-Y.; Yang, Y.-S.; Huang, J.-W.; Chung, Y.-L.; Chen, H. Immobilized Rolling Circle Amplification on Extended-Gate Field-Effect Transistors with Integrated Readout Circuits for Early Detection of Platelet-Derived Growth Factor. Anal. Bioanal. Chem. 2016, 408, 4785–4797. [Google Scholar] [CrossRef] [PubMed]
  146. Gao, Z.; Xia, H.; Zauberman, J.; Tomaiuolo, M.; Ping, J.; Zhang, Q.; Ducos, P.; Ye, H.; Wang, S.; Yang, X.; et al. Detection of Sub-fM DNA with Target Recycling and Self-Assembly Amplification on Graphene Field-Effect Biosensors. Nano Lett. 2018, 18, 3509–3515. [Google Scholar] [CrossRef] [PubMed]
  147. Hideshima, S.; Fujita, K.; Harada, Y.; Tsuna, M.; Seto, Y.; Sekiguchi, S.; Kuroiwa, S.; Nakanishi, T.; Osaka, T. Signal Amplification in Electrochemical Detection of Buckwheat Allergenic Protein Using Field Effect Transistor Biosensor by Introduction of Anionic Surfactant. Sens. Biosensing Res. 2016, 7, 90–94. [Google Scholar] [CrossRef] [Green Version]
  148. Hideshima, S.; Saito, M.; Fujita, K.; Harada, Y.; Tsuna, M.; Sekiguchi, S.; Kuroiwa, S.; Nakanishi, T.; Osaka, T. Label-Free Detection of Allergens in Food via Surfactant-Induced Signal Amplification Using a Field Effect Transistor-Based Biosensor. Sens. Actuators B Chem. 2018, 254, 1011–1016. [Google Scholar] [CrossRef]
  149. Seo, H.B.; Gu, M.B. Aptamer-Based Sandwich-Type Biosensors. J. Biol. Eng. 2017, 11, 11. [Google Scholar] [CrossRef] [Green Version]
  150. Bai, Y.; Feng, F.; Zhao, L.; Wang, C.; Wang, H.; Tian, M.; Qin, J.; Duan, Y.; He, X. Aptamer/Thrombin/Aptamer-AuNPs Sandwich Enhanced Surface Plasmon Resonance Sensor for the Detection of Subnanomolar Thrombin. Biosens. Bioelectron. 2013, 47, 265–270. [Google Scholar] [CrossRef]
  151. Abbaspour, A.; Norouz-Sarvestani, F.; Noori, A.; Soltani, N. Aptamer-Conjugated AgNPs for Electrochemical Dual-Aptamer-Based Sandwich Detection of Staphylococcus Aureus. Biosens. Bioelectron. 2015, 68, 149–155. [Google Scholar] [CrossRef]
  152. Ikebukuro, K.; Kiyohara, C.; Sode, K. Electrochemical Detection of Protein Using a Double Aptamer Sandwich. Anal. Lett. 2004, 37, 2901–2909. [Google Scholar] [CrossRef]
  153. Duan, N.; Wu, S.; Dai, S.; Gu, H.; Hao, L.; Ye, H.; Wang, Z. Advances in Aptasensors for the Detection of Food Contaminants. Analyst 2016, 141, 3942–3961. [Google Scholar] [CrossRef]
  154. Zhan, S.; Wu, Y.; Wang, L.; Zhan, X.; Zhou, P. A Mini-Review on Functional Nucleic Acids-Based Heavy Metal Ion Detection. Biosens. Bioelectron. 2016, 86, 353–368. [Google Scholar] [CrossRef]
  155. Saidur, M.R.; Aziz, A.R.A.; Basirun, W.J. Recent Advances in DNA-Based Electrochemical Biosensors for Heavy Metal Ion Detection: A Review. Biosens. Bioelectron. 2017, 90, 125–139. [Google Scholar] [CrossRef] [PubMed]
Table 1. Development of FET aptasensors detecting small molecules.
Table 1. Development of FET aptasensors detecting small molecules.
Field-Effect TransistorsBio-ReceptorsTarget MoleculesRef.
SWCNTRiboflavin-binding AptamerRiboflavin119
ZnORiboflavin-binding AptamerRiboflavin119, 120
SWCNTAnti-BPA AptamerBPA121
SWCNTssDNA anti-ATP AptamerATP122
CNT Network Film35-mer E2 Aptamer17 β-estradiol (E2)123
GrapheneAptamerATP124
Carboxyl-functionalized Multichannel Carbon NanofibersBPA-binding AptamerBPA125
Indium (III) OxideDopamine Aptamer
Serotonin Aptamer
S1P Aptamer
Glucose Aptamer
Dopamine
Serotonin
S1P
Glucose
126

Share and Cite

MDPI and ACS Style

Vu, C.-A.; Chen, W.-Y. Predicting Future Prospects of Aptamers in Field-Effect Transistor Biosensors. Molecules 2020, 25, 680. https://doi.org/10.3390/molecules25030680

AMA Style

Vu C-A, Chen W-Y. Predicting Future Prospects of Aptamers in Field-Effect Transistor Biosensors. Molecules. 2020; 25(3):680. https://doi.org/10.3390/molecules25030680

Chicago/Turabian Style

Vu, Cao-An, and Wen-Yih Chen. 2020. "Predicting Future Prospects of Aptamers in Field-Effect Transistor Biosensors" Molecules 25, no. 3: 680. https://doi.org/10.3390/molecules25030680

APA Style

Vu, C. -A., & Chen, W. -Y. (2020). Predicting Future Prospects of Aptamers in Field-Effect Transistor Biosensors. Molecules, 25(3), 680. https://doi.org/10.3390/molecules25030680

Article Metrics

Back to TopTop