Mina Adampourezare*ab,
Mohammad Hasanzadeh*bc and
Farzad Seidid
aDepartment of Biology, Faculty of Natural Science, University of Tabriz, Tabriz, Iran. E-mail: m.adampour@tabrizu.ac.ir
bPharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. E-mail: hasanzadehm@tbzmed.ac.ir
cNutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
dJiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing 210037, China
First published on 9th September 2022
DNA methylation as one of the most important epigenetic modifications has a critical role in regulating gene expression and drug resistance in treating diseases such as cancer. Therefore, the detection of DNA methylation in the early stages of cancer plays an essential role in disease diagnosis. The majority of routine methods to detect DNA methylation are very tedious and costly. Therefore, designing easy and sensitive methods to detect DNA methylation directly and without the need for molecular methods is a hot topic issue in bioscience. Here we provide an overview on the optical biosensors (including fluorescence, FRET, SERs, colorimetric) that have been applied to detect the DNA methylation. In addition, various types of labeled and label-free reactions along with the application of molecular methods and optical biosensors have been surveyed. Also, the effect of nanomaterials on the sensitivity of detection methods is discussed. Furthermore, a comprehensive overview of the advantages and disadvantages of each method are provided. Finally, the use of microfluidic devices in the evaluation of DNA methylation and DNA damage analysis based on smartphone detection has been discussed.
There are two main types of changes in the DNA methylation pattern: one is global hypomethylation, which usually targets non-coding regions and can cause chromosomal instability and aberrant expression of genes, and the other is hypermethylation of CpG islands in the promoter regions of genes, which causes deactivation of these genes.7
The most important genes that are silenced by hypermethylation in the promoter region include tumor suppressor genes, tumor invasion and spread suppressor genes, DNA repair genes, hormone receptor genes, and angiogenesis inhibitor genes.7 The global hypomethylation at the CpG rich region leads to weak transcription suppression of genes such as oncogenes (tumorigenic genes) or retrotransposons (Fig. 1).7
Fig. 1 Rearrangement of the DNA methylation patterns associated with tumorigenesis.7 |
Since cytosine and methyl cytosine have similar Watson–Crick's behavior, conventional sequencing cannot be used to detect methyl cytosine. Recently, DNA methylation was detected by various methods including bisulfite genomic sequencing,8 the use of restriction enzymes,9 and the use of anti-methyl cytosine antibodies.9 One of the most important benefits of bisulfite treatment is deamination of non-methylated cytosine and to convert it to uracil (U).10 Limitation of bisulfite treatment are DNA degradation, time-consuming, incomplete conversion of non-methylated cytosine to uracil, require expensive instruments, and high cost of sequencing.11–14
Enzymatic/chemical hydrolysis based methods such as high performance liquid chromatography (HPLC)15 and high performance capillary electrophoresis (HPCE)16 need, lengthy experimental processes, abundant DNA samples, and expensive instruments. A major limitation of DNA restriction enzyme digestion based methods such as PCR (MSRE-PCR),17 methylation-specific multiplex ligation and dependent probe amplification (MS-MLPA)18 applied for the site-specific detection of DNA methylation is restriction of specific enzyme identification sequences. Therefore, information about the methylation status of the entire genome cannot be obtained. The major advantages of bisulfite treatment methods such as methylation sensitive high resolution melting (MS-HRM),19 combined bisulfite restriction analysis (COBRA),20 methylation specific PCR (MS-PCR),21 methlight,22 bead arrays (Illumina),23 and pyrosequencing24,25 is converting methylation changes to base changes (unmethylated cytosine to uracil and finally thymine). The major disadvantages of this method are DNA degradation due to high temperature and prolonged incubation with chemicals, incomplete conversion of unmethylated cytosine, time-consuming, need to use of expensive equipment, and high cost of sequencing services.26–28 Affinity enrichment technique using DNA methyl binding domain (MBD) protein are appropriate for high efficiency analysis but time-consuming and requiring antibodies and instrument are the main limitations of this method. Isotope-labeled S-adenosylmethionine (SAM) and immune reactions focus on direct exposure detection of DNA methylation using its dynamics assay. Time-consuming and too costly materials are the disadvantages of these methods.29
Therefore, highly sensitive, accurate, and quantitative assay methods of DNA methylation would be valuable for genetic disease diagnosis. In recent years, scientists have tried to develop various methods to determine methylation, which one of them is the use of optical biosensors.30
Optical biosensors are powerful detection and analysis tools that measure changes in the optical properties including absorbing, reflecting, and emitting specific light wavelengths in response to a connecting event between a receiver and target molecules.31,32 An optical biosensor consists of a compact analytical tool that contains a bio-recognition sensing element integrated with an optical transducer system. The main purpose of an optical biosensor is to generate a signal that is proportional to the concentration of a measured substance (analyte).
These biosensors can be classified into five distinct classes based on the nature of the transfer mode including fluorescence, surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), colorimetry and luminescence.32,33 The following subsections concentrate on the applied optical biosensors in the recent researches for DNA methylation detection by different transduction events. In addition to the use of biosensors, the use of nanomaterials improves the quality and sensitivity of detection. In accordance with this, with the development of nanotechnology, new nanomaterials have been designed and synthesized such as gold nanoparticles,34 carbon nanomaterials,35 semiconductor quantum dots,36 and metal nanoclusters.37 Nanomaterials have some attractive optical properties due to their unique size and shape and may act as optical emitters.38–40 In addition, bioactivation of nanomaterials through physical adsorption, electrostatic and/or covalent coupling, makes them a powerful tool for making suitable biosensors.40,41 In this review, critical role of labelled and label free optical methods on the photonic biosensing of DNA methylation are surveyed. Also, important role of advanced nanomaterials on the optical biosensing with emphasize on the key role of detection method are investigated.
The label free method is direct assay method of target molecules before and after the binding events. The labeled method is indirect detection method of target molecules by adding fluorescent labeling reagents such as organic dyes and nanoparticles (quantum dots, dyedoped silica nanoparticles).33,43 For example, a fluorometric nanobiosensor was used to detect DNA methylation based on the use of gold coated magnetic nanomaterials to stabilize DNA probe (SH–(CH2)6–5′-CCG TCG AAA ACC CGC CGA-3′).44 In this study, dipyridamole was used as a fluorescence optical probe and was able to distinguish methylated sequences from unmethylated sequences. The detection limit for methylated and unmethylated sequences was 3.1 × 10−16 M and 1.2 × 10−16 M, respectively (Fig. 2A). Fluorometric nanobiosensors based on carbon materials and organic dyes of thionine45 (Fig. 2B) and toluidine blue46 were developed to detect DNA methylation. These optical probes were used as a platform as well as fluorophore and were able to distinguish methylated sequences from unmethylated sequences. The designed nanobiosensor had a detection limit of 1 ZM.
Fig. 2 (A) Schematic representation of the bio-assay for DNA methylation detection.44 (B) Schematic diagram of nanobiosensor preparation steps for DNA methylation assay.45 (C) Schematic description for label-free fluorescence assay of DNA methylation based on CNPs, SG and enzyme–linkage reactions.48 (D) Schematic representation of direct detection of DNA methylation by CdTe QDs.49 (E) A schematic illustration of the ultrasensitive detection of DNA methylation by gold-nanorods-based fluorescence resonance energy transfer (FRET) assay.52 (F) Principle of Methylation Level Analysis of Cancer-Related Genes Using CCP-Based FRET Technique, together with the Chemical Structures of CCP and Fluorescein Used in the Detection.53 (G) Schematic representation of a FRET based approach for the detection of methylated DNA.54 (H) Detection procedures of cytosine methylation in DNA by the FRET probe based on UCNPs and AuNRs.55 |
A label free and sensitive fluorometric nanobiosensor based on quantum dot graphene was developed by Rafiei and et al.47 Graphene quantum dot (GQD) had a strong affinity for double-stranded DNA and was intercalated within double-stranded DNA in a major groove. This nanobiosensor quenched the fluorescence when attached to methylated sequences, but increased the fluorescence intensity when attached to unmethylated sequences. It has been assumed that the intercalation of GQD to double-stranded methylated DNA, DNA conformation changes from form B to form A, but in double-stranded unmethylated DNA, DNA conformation does not change and this change in conformation causes an increase or decrease in fluorescence intensity. The nanobiosensor had a detection limit of 7.3 × 10−11 M. Indeed, research group of Xiangyuan48 developed a label free and sensitive fluorometric nanobiosensor based on DNA intercalator dye, endonuclease and carbon nanomaterials for detecting DNA methylation and evaluating DNA methyltransferase activity. In this study, the basis of the work was designed in such a way that single-stranded DNA was absorbed on the surface of carbon nanomaterials using π–π bonds, but double-stranded DNA did not have this feature. Also, when organic dyes were attached to carbon nanomaterials, their fluorescence was quenched, and SYBR Green I (SG) were more inclined to double-stranded DNA than single-stranded DNA. In this study, double-stranded DNAs were methylated by DNA methyltransferase enzyme and then were cleaved by methylation-sensitive restriction endonuclease. Single-stranded DNAs were obtained, and the SG was released and placed on carbon nanomaterials, and its fluorescence was quenched. Double-stranded DNAs without methyl groups were not cleaved by methylation-sensitive restriction endonuclease and thus their fluorescence intensity was higher. The nanobiosensor had a detection limit of 7.3 × 10−11 M (Fig. 2C).
Interestingly, a fluorometric nanobiosensor was built based on the capped CdTe quantum dots as a fluorophore probe.49 This optical probe tended to have double-stranded DNA sequences and increased the fluorescence intensity in interaction with unmethylated sequences, but no change in fluorescence intensity was observed in interaction with methylated sequences. The different mobility in electrophoresis assay was confirmed the results of the spectroscopic study. The detection limit for unmethylated DNA was 6.2 × 10−11 M (Fig. 2D). The third strategy for fluorescence evaluation is fluorescence resonance energy transfer (FRET). The mechanism of FRET, a donor fluorophore excites and transfers its excitation energy to a nearby acceptor chromophore having a similar resonance frequency in a non-radiative (radiationless) fashion and the distance-dependent (approximately 1–10 nm) through dipole–dipole interactions.50–52
FRET is a spectroscopic technique that is widely applied in various biological and medical fields such as excavating biomolecules conformational changes, assaying enzyme activity and intermolecular interactions, and nucleic acid analysis.51 Various nanomaterial compositions have been made by the FRET mechanism for use as nanosensors. FRET is a distance-dependent energy transduction method that energy transfers from a donor molecule to an acceptor molecule. Due to its sensitivity to distance, molecular interactions are assayed by FRET.51
For example, a fluorescence method based on FRET assay was designed by using UCNPs and gold nanorods (AuNRs) as a fluorescence quencher for detection of DNA methylation and to evaluate DNA methyltransferase activity.52 In this method, the probe DNA was attached to a fluorescent material (FAM) and hybridized with its complement DNA. The resulted dsDNA was methylated by DNA methyltransferase and was cleaved by Dpn. The fluorescence measurements were performed after the addition of gold nanorods. This method is able to exhibit methyltransferase activity with a low limit of detection 0.25 U mL−1 (Fig. 2E). In another study, DNA methylation assay was performed based on FRET using cationic conjugated polymer in RASSF1A, OPCML, and HOXA9 promoters as ovarian cancer markers.53 After digestion of genomic DNA by methylation-sensitive restriction endonuclease and then PCR amplification of digested productions, the methylation level is detected through FRET arising from incorporation CCP and fluorescein into the PCR products. The duration was about 20 h (Fig. 2F).
The FRET assay method also was applied to detect DNA methylation and to evaluate DNA methyltransferase activity using gold nanoparticles based on fluorescence retrieval of FAM-labeled DNA with gold nanoparticles (AuNPs).54 In this study, one end of the DNA probes was attached to FAM fluorophore and the other end was modified with thiol groups (6′-FAM–5′-TCCGGTTCCCGACCCGGACTCCGCAAAAAA-3′-SH). The thiol groups at the end of the probe were functionalized with AuNPs, which brings the FAM fluorophores close to the AuNPs. This caused the overlap of the FAM fluorescence emission and the absorption spectrum of the AuNPs and triggered a FRET event and caused the fluorescence quenching of FAM fluorophore.
Then, FAM-labeled DNA was hybridized with its complementary sequences. Hybridization of the FAM-labeled DNA with its complementary DNA created a specific CpG locus for the activity of M.SssI methyltransferase enzyme. The methyltransferase caused the methylation of DNA at specific CpG sites and converted quenched FAM fluorophore into an emissive fluorophore. Conversely, no change in fluorescence signal was observed in unmethylated sequences. In this study, detection limit of 0.14 U mL−1 for M.SssI methyltransferase enzyme and 2.2 pM for methylated targets were resulted (Fig. 2G). In another study, methylation of cytosine in specific sequences in DNA was detected using FRET between up-conversion nanoparticles (UCNPs) and gold nanorods (AuNRs) and ssDNA probe (biotin-5′-ATACCmGGTCTAAA-3′-S-S).55 In this method, methylated single-stranded DNA, which contained biotin at one end and thiol group at the other, was hybridized to methylated single-stranded DNA (5′-AGACCmGGTAT-3′) and unmethylated single-stranded DNA (3′-TATGGCCAGA-5′). The resulting double-stranded DNAs were located adjacent to UCNPs and AuNRs. The UCNPs were interacted with biotin and the gold nanoparticles were attached to thiol group and placed close to each other and their fluorescence was quenched. Then, the resulted double-stranded DNAs were exposed to HpaII restriction enzyme. Two-stranded sequences containing one methyl group were cleaved with HpaII and the fluorescence signal was recovered, but the sequences containing the two methyl groups were not cleaved and the fluorescence signal did not change. Sequence containing the two methyl groups were cleaved by MspI enzyme and the fluorescence signal was recovered. Duration was 2 h (Fig. 2H).
Importantly, novel technology of MS-qFRET, methylation specific quantum dot FRET, was used to evaluate DNA methylation.56 In this method, first, bisulfite treatment and conversion of cytosine to uracil was done. Then PCR was done using Cy5-dCTP as an acceptor and methylation specific primers that forward primers contain a biotin label for post-PCR conjugation to quantum dots as a donor. In this method, DNAs containing methylcytosine were amplified, but DNAs containing unmethylated cytosine were not amplified. Amplified PCR product end contains biotin, which conjugated to quantum dot by biotin-streptavidin affinity. Upon excitation at 488 nm, QD emission is recorded at 605 nm and Cy5 (FRET acceptor) at 670 nm (Fig. 3A).
Fig. 3 (A) Schematic depiction of identification of DNA methylation detection via MS-qFRET technology.56 (B) Schematic procedures for the detection of methylated DNA based on FRET using up-conversion nanoparticles (UCNPs) and intercalating dye.57 (C) Schematic of QD-FLP, illustrating the improved design. After bissulfite conversion and PCR amplification with modified primers, the FLP distinguishes the target amplicon, thereby eliminating background noise from the non-specific PCR amplicons.61 (D) Schematic illustration of the detection of DNA methylation based on QDs-FRET.62 (E) Schematic illustration of the detection of DNA methylation based on QDs-FRET.63 |
Interestingly, a MS-PCR, up-conversion nanoparticles (UCNPs) and intercalating-based FRET system also has been developed for the detection of DNA methylation of CDKN2Agene by Kim et al.57 Briefly, after bisulfite treatment of DNA and amplification with methylation-specific PCR with biotinylated forward primer (forward primer, 5′-biotin-TTATTAGAGGGTGGGGCGGATCGC-3′), amplified methylated DNA was hybridized with streptavidin-UCNPs and SYTOX Orange were intercalated to the streptavidin-UCNP. FRET was occurred between the UCNPs and SYTOX Orange and the intensity of the green fluorescence was decreased from the UCNPs as FRET donors (Fig. 3B). This method has a limit of detection as low as 0.1% (Fig. 3B).
MS-qFRET method58 developed based on MSP59 and the quantum dot fluorescence resonance energy transfer (QD-FRET) nanosensor technology,60 needs low concentrations of DNA. The disadvantages of this method are that MSP is dependent upon bisulfite conversion of extracted DNA and bisulfite conversion causes DNA damage.59 Also, formation of primer dimer and non-specific PCR products with dual biotin and Cy5 labels that can similarly attach to the QD surface, cause the FRET background.
A method similar to that used by Kim was also used to detect methylation by Keeleyi et al.61 The detection system consists of three main processes including bisulfite conversion, PCR and PCR amplicons conjugation to the surface of QDs (as donor) by FLPs (biotin functionalized DNA oligonucleotide probes) as acceptor for FRET detection. In this method, only sequences containing methyl cytosine were amplified by PCR and amplified products bound to the quantum dot surface by biotin–streptavidin binding. Due to overlap of the spectrum of the quantum dot and FLP, the fluorescence intensity decreased. Finally, QD-FRET signals were measured using nanodrop 3300 fluorospectrometer. In this study, the biological limitations of dysfunctional PCR and FRET signal arising from background noise generated using the MS-qFRET method was eliminated using FLP (Fig. 3C). In another study, quantum dots-based FRET method was used for DNA methylation assay of three tumor suppressor genes, PCDHGB6, HOXA9 and RASSF1A, in lung adenocarcinoma and adjacent nontumorous tissues (NT).62 In this study, DNA was extracted and divided into two parts. One part was placed in the vicinity of HpaII enzyme. This enzyme cleavages unmethylated sequences but does not cleavage methylated sites. The second part of the DNA was not in the vicinity of the enzyme. Both samples were amplified by PCR using 647-dNTP. In the first part, methylated DNA could be amplified since it was insensitive to cleavage by HpaII. Unmethylated DNA remains unamplified because it was cleaved by the HpaII enzyme. The resulting PCR products were mixed with amino-QDs dots. Positively charged amine QDs formed electrostatic interaction with negatively charged A647 labeled DNA. This compound could be detected by FRET. With the increase in the number of methyl groups, the intensity of the FRET signal was stronger. In the case of products not treated with the enzyme (second part of DNA), both methylated and unmethylated DNA were amplified, resulting in high-efficiency FRET signals. The limit detection was obtained up to 90% for cancer (up to 90% of sequences with methyl group were detected. The detection sensitivity of this method was 90% of the sequences containing the group) (Fig. 3D).
Similarly, a methylation-sensitive restriction enzyme, bisulfite free, quantum dots (QDs) based FRET method using A647 fluorophores (Alexa Fluor-647 (A647) fluorophores) was designed to assay the promoter methylation in NSCLC tissue samples and noninvasive bronchial brushing specimens.63 Using this method, the methylation level was determined by measuring the signal amplification during QDs-FRET. Using this method, DNA methylation was assessed in three genes (PCDHGB6, HOXA9 and RASSF1A) and in two sample groups (control and patient). This method was able to detect methylation with a high degree of sensitivity. One of the advantages of this method is not using bisulfite treatment and labeled primers (Fig. 3E).
For the example, a novel SPR-based biosensor optical was applied for detection of methylated CpG sites on specific DNA sequences in the promoter of the adenomatous polyposis coli (APC) gene using a dual detection mechanism with oligonucleotide probe hybridization and specific protein binding.69 In this report, first, the probe immobilized (5′-biotin-TGmCGGAGTGmCGGGTmCGGGAAGmCGG-3′) onto a SPR based biosensor chip captured complementary target DNA. Then, the recombinant methyl CpG binding domain (MBD) protein was added on the surface to recognize and bind to methylated CpG sites. Binding events increased the refractive index, and generated a detectable optical signal. The detection limit was around 5 pmol within 1 h for methylated APC promoter. The main disadvantage of this method is the use of specific proteins bound to methyl groups (methyl binding domain protein). One of the advantages of this technique is that it does not require bisulfite treatment.
A real-time, label-free, molecular inversion probes (MIPs), bisulfite treatment, circularized DNA probe and SPR method was applied for DNA methylation detection of En1 region DNA extracted from MCF7 cells and human whole genomic DNA.70,71 In this method, after genomic DNA extraction from cell lines and bisulfite treatment (conversion of unmethylated cytosines into uracile), the desired region of genomic DNA is identified by MIP and MIP binds to the DNA and a multi-play gap is created between the ends of the MIP identification, which represents the desired methylated region. This gap is filled by a polymerase and closed by a ligase, creating a circular DNA. This circular product is then converted into a single-stranded amplicon by asymmetric PCR, which is attached to a single-stranded oligonucleotide immobilized on SPR. In the final stage, detection is done by SPR. In the presence of methylated DNA compared to unmethylated DNA, an increase in the SPR signal was observed. The concentration range was from 0 to 400 nM with low detection limit 100 nM. Combined detection of SPR and EAP has three advantages including instant read-outs, cost-effective, ability to detect multiple samples simultaneously using multi-channel SPR and MIP multiplication capability (Fig. 4A).
Fig. 4 (A) Methodological approach for the label-free and real-time detection of regional DNA methylation based on MIP and SPR.70 (B) Scheme of the DNA methylation biosensor methodology.72 |
Huertas et al.72 reported a label-free, SPR-immunoassay using poly-purine reverse-Hoogsteen hairpin (PPRH) probes (DNA molecules composed of two mirrors symmetrical polypurine stretches and a poly-thymidine loop) to assess DNA methylation in PAX-5 gene fragment. Due to their structural properties, these oligonucleotides can form reverse-Hoogsteen hairpins and form Watson–Crick bonds with polypyrimidine double-stranded DNA targets to form three stranded (triplex) conformation.74 Finally, anti-methylcytosine antibody was used to detect methylcytosine, which specifically recognizes cytosine roots and binds specifically to methyl groups in cytosine roots, and a sensor signal proportional to the quantity of methyl groups is obtained (Fig. 4B). Similarly, Li et al.,74 reported a novel platform based on Au nanorod (AuNR) (as label), polymerization and nicking reactions, of enzyme cyclic signal enhancement methods, SPR technique using double stranded DNA (dsDNA) probe that was self-hybridized with a palindromic sequence of 5′-GATC-3′ for DNA methylation detection and adenine methylation (Dam) methyltransferase (MTase) activity assay. The concentration range was from 0.5 to 120 U mL−1 with a detection limit of 0.2 U mL−1.
Despite researches done at the use of SPR in the evaluation of DNA methylation, the methods used also have some limitations, such as the use of restriction enzymes and antibodies or the use of complex primer design methods. It is also necessary to use some traditional methods in combination with biosensor techniques. Therefore, designing new methods that can study methylation without using molecular methods19,20 is of interest to researchers.
In contrast, the overlapping fluorescence emission spectra strongly restrict multiplexing. In addition, SERS also has comparable sensitivity yet improved photostability over fluorophores.79–81 Recently, Raman spectroscopy was applied for evaluation of DNA methylation.76,83–86 Raman spectroscopy has several advantages over methods based on fluorescence, because multiple sites of nucleoside methylation in DNA is detectable using SERs simultaneously.76,85 In addition, it does not require any chemical additives and minimizes chemical changes in the samples.83,87 Raman bands represent molecular fingerprints with narrow bandwidths, which makes it possible to identify multiple sites.76,83
Recently, SERS has been employed for DNA identification and single nucleotide polymorphism (SNP) analysis.88–92 For example, Hu and coworkers used single base extension reaction and SERs spectroscopy to detect DNA methylation using AuNPs-modified capture probe in tumor suppressor gene CDKN2/p16/MTS1 (p16) and a detection limit of 3 was obtained.76 In the other study, label-free method of Raman Spectroscopy was applied for detection of DNA methylation using synthesized sequences according to the promoter regions of cancer-related genes such as cadherin 1 (CDH1) and retinoic acid receptor beta (RARB).93
Ganesh et al. was applied SERs to assay the DNA methylation profile in cancer stem cells.94 Ouyang et al. applied laser wrapped graphene-Ag array for detection of methylated DNA and its oxidation derivatives (5-hydroxymethylcytosine and 5-carboxylcytosine) by SERS. In this method, first, the target DNAs are identified and captured from the global DNA by AuNPs functionalized with a specific antibody. Since methylated DNAs have a weak SER signal, the captured target DNAs are marked by dye SYBR Green I (SG) as Raman tag, which can specifically bind to double-stranded DNA and increase the SER signal. Also, for further SERS enhancement, Au-DNA conjugates are directly dipped onto the graphene wrapped Ag array. The detection limit 1.8 pmol L−1 and duration 60 min was obtained (Fig. 5A).95 Wang et al., applied SERS via ligase chain reaction (LCR) for DNA methylation detection. 10% changes in methylation can be detected by this method (Fig. 5B).96
Fig. 5 (A) Illustration of the proposed SERS strategy for detection of methylated DNA and its derivatives.95 (B) Schematic illustration for simultaneous C and T single DNA base change detection by LCR (a), and DNA methylation analysis via simultaneous SERS nanotags detection on a gold surface array (b).96 |
In this study, after bisulfite treatment of genomic DNA and conversion of unmethylated C to uracils and subsequently T after PCR, for the PCR amplification of a sequence containing a CpG of interest, LCR was applied to amplify a sequence containing a CpG of interest and to identify the C/T base change. In order binding LCR products onto the SERS array, one end of the LCR products contain the specific sequence for binding to DNA probe immobilized onto the SERS array and the other end contains a methylation state specific sequence to bind methylation-specific SERS nanotag. Finally, the methylation levels of captured LCR products were identified by methylation state-specific SERS nanotags. These nanotags were made from AuNPs functionalized with methylation specific DNA probes and Raman reporters. Final detection was performed by laser. Finally, to determine the level of methylation, the SER signals intensities produced from the LCR products of the C-reaction and T-reaction were compared.
However, the major limitation of clinical application of Raman spectroscopy is that the signals from single-stranded and double-stranded DNA are similar. To overcome those constraints, inculcated internal SERS nanotags were used to quantify DNA by Wang et al.85 This method provides real-time molecular information at high resolution without the use of labels. However, it travails from weak signal and restricted penetration depth, typically for optical based techniques.
For the example, a colorimetric assay was applied to detect DNA methylation using methyl-binding domain (MBD) proteins for evaluation methylated prostate cancer biomarker in the urine. The method can detect 5% methylation differences in total genomic and gene-specific methylation and the limit of detection for 50 ng or less DNA input under 2 h was obtained.99 In this method, genomic DNA was first affected by enzymatic digestion and the resulting DNA fragments were enzymatically labeled with biotin to produce a DNA-biotin polymer. Then MBD protein conjugated with magnetic beads was used to select methylated DNA. Finally, methylated DNA was recognized by SA-HRP (streptavidin conjugated horse radish peroxidase) via the biotin/streptavidin interaction. Finally, methylation levels were visually evaluated via the HRP-mediated reduction of a chromophore (TMB substrate). In the second method, after enzymatic digestion of DNA, the resulting fragment was amplified by isothermal amplification using biotin–deoxynucleotides (dNTPs). Then, HRP/TMB colorimetric reaction was applied to indicate the presence of methylated regions (Fig. 6).
Fig. 6 (A) Strategy for total genomic methylation. Genomic DNA. (B) Strategy for gene-specific methylation. Genomic DNA.99 |
A colorimetric nanosensor based on gold nanoparticle, sodium bisulfite treatment, PCR amplification and 5-aza-2′-deoxycytidine was designed for DNA methylation assay in nasopharyngeal carcinoma cells by Lin.100 Also, Li et al., designed a label-free and enzyme-free colorimetric method based on gold nanoparticle for DNA methylation assay in human serum samples without using complicated instruments or expensive biological enzymes or common organic dyes during the reaction. The employed strategy was the difference in electrostatic interaction of single-stranded DNA and double-stranded DNA against salt-induced aggregation of Au NPs. The method has a low detection limit of 8.47 nM.101 Interestingly, Geng et al., reported colorimetric method based on combining methylation-sensitive endonuclease digestion and hyperbranched rolling circle amplification (HRCA) method for DNA methylation analysis in p16/CDKN2 promoter of breast cancer samples. The concentration range was from 100 fM to 10 nM and duration was 3 h.102 The colorimetric method is generally low sensitivity and selectivity and is quantitative/semi-quantitative.97–100 The colorimetric methods are mostly based on the color change properties due to the accumulation of nanoparticles. On the other hand, the use of gold nanoparticles alone has less sensitivity and selectivity. Also, the increase in the size of gold nanoparticles due to their accumulation in solution and eventually the formation of sediment, the color of the suspension becomes colorless over time and prevents accurate quantification. In addition, false positive results due to non-specific accumulation of functional nanoparticles in complex biological samples limit their practical application.103 Therefore, the use of DNA amplification and endonuclease based digestion methods along with colorimetric methods can improve the sensitivity of the detection72,104–107 and amplify the detection signals.103,108–111
According to different stages of methylation evaluation, microfluidic devices are classified into different types including microfluidic for bisulfite treatment,118 DNA extraction,119 methylcytosine assay based on bisulfite conversion,120–123 microfluidic based on restriction enzyme and bisulfite free,124,125 microfluidic for methyltransferase assay126,127 and morphological properties.128
In the colorimetric method integrated with smartphones, the reaction is first performed in aqueous medium or using paper-based systems such as strip tests or paper microfluidic devices. Then, changes in the color of the solution or paper substrates are detected by smartphone cameras. The smartphone analysis is performed by a app on a smartphone or an application on a computer after transferring data.139–148
Smartphones are used not only in colorimetric analysis but also in spectroscopic, fluorimetric and electrochemical analyzes. Smartphones are able to detect wavelengths and analyze the entire visible spectrum.149 The use of smartphone technology has also been proven in colorimetric and fluorometric analyzes of single and double strand DNA detection,150 DNA sequencing,151 quantitative DNA analysis using mobile PCR digital devices based on smartphones.152
For example, Lazaro153 and coworkers used smartphone-based detection method evaluate single-nucleotide variants detection in genes KRAS and NRAS in cultured cells and tissues biopsied from cancer patients. For this purpose, first isothermal amplification was done, then allele-specific hybridization chain reaction (AS-HCR) was done using allele specific probes immobilized on the chip in a microanalysis format. Despite the high ratio of wild type cells to mutant cells, AS-HCR was able to identify specific DNA variants. Finally, the data were detected with a smartphone array reader. The advantage of this method is that the analysis time using this method was 1 h compared to traditional methods that take 2 h. Secondly, AS-HCR was an isothermal method and inexpensive and instrument free. Also, the amount of contamination in this method is lower than conventional PCR method. The DNA concentration range was less than 103 copies and the detection limit was 0.7% (Fig. 7).
Fig. 7 Scheme of genotyping by AS-HCR with colorimetric detection. (a) Mechanism of the AS-HCR method for identifying single-nucleotide variants from genomic DNA and (b) assembly for smartphone detection.153 |
Kuhnemund and et al.154 used a smartphone to detect single-nucleotide mutations and DNA sequencing based on selector probes, pad lock probe in situ and RCA to generate micron sized DNA coil, each of which could be labeled with fluorescent probes or quenched. In this method, a sequencing library was first generated from synthetic fragments of gene KRAS with two types of wild type and mutation 12 codon. Products of individual RCA could be identified and quantified by mobile phone based microscope. The result showed that using this method, very small amounts of variant sequences can be identified (1:1000 ratio). This study was performed on biopsy specimens of colon cancer. The results of the smartphone analysis were consistent with the results of the PCR-based sequencing analysis (Fig. 8).
Fig. 8 Multimodal mobile microscopy device and schematics of RCA assays. (a and b) 3D schematic illustration of the inner structure and the optical design of the mobile-phone-based microscopy platform. (c and d) Photographs of the mobile-phone-based microscope from different viewing perspectives. Mobile phone screen of (d) shows a bright-field image of fixated A549 cells captured by the phone. (e) DNA sequencing sample preparation scheme: genomic DNA is restriction digested and the KRAS DNA fragment selectively circularized on KRAS selector probes attached to slides. The DNA fragments are ligated and amplified on the slide, and the RCA products sequenced by unchained SBL chemistry.15,20 DNA sequencing reactions are then imaged through our mobile phone microscope. (f) Dual-colour mobile phone microscope image of a targeted SBL reaction of KRAS codon 12 in genomic DNA extracted from A427 cells which are heterogeneous for a KRAS codon 12 mutation. RCPs are either stained with Cy3 corresponding to base G (KRAS wild type), or Cy5 corresponding to base A (KRAS mutant). Scale bar, 50 mm. (g) Schematic diagram of in situ point mutation detection assay through padlock probes and RCA. KRAS mRNA is converted to cDNA, which is targeted by single-base-discriminating padlock probes. Mutant specific padlock probes are ligated and amplified through RCA. Wild-type-specific probes do not ligate on mutated KRAS cDNA and generate no RCP. (h) A full field of view image of the A549 cell line with in situ RCA detected codon 12 point mutations, imaged with our mobile phone fluorescence microscope. Scale bar, 200 mm (full field of view); Scale bar, 20 mm (inset).154 |
Mai and et al.155 applied an enzyme-free colorimetric biosensor based on catalytic hairpin assembly amplification and G-quadruplex DNAzyme to assess BRCA1 gene. Colorimetric readout was recorded using a smartphone camera and a UV-vis spectrophotometer. The detection limit was 10 pM in a concentration range of 50 pM to 200 nM. This method can detect target DNA at a concentration of 0.2 nM. This colorimetric platform can be selected to detect BRCA1 gene in serum samples. To complete our discussion in this review, Table 1 summarizes recent reports on the optical bio-sensing of DNA methylation and DNA damage analysis.45–112,156
Detection method | Biomarker | Clinical sample | Linear range | LOD | Nanomaterial | Sequences of detection probes | Ref. |
---|---|---|---|---|---|---|---|
Fluorescence | Adenomatous polyposis coli gene | Plasma | Un-methylated DNA: 1.6 × 10−15–6.6 × 10−13 M | 1.2 × 10−16 M | Fe3O4/Au core/shell, dipyridamole | SH-(CH2)6-5′-CCG TCG AAA ACC CGC CGA-3′ | 45 |
Methylated DNA: 3.2 × 10−15–8.0 × 10−13 M | 3.1 × 10−16 M | ||||||
Fluorescence and UV-Vis | Adenomatous polyposis coli gene | Plasma | 10−21–0.1 × 10−12 M | 1 zM | Carbon materials and an organic dye (thionine) | TCCGCTTCCCGACCCGCACTCCGC | 46 |
Fluorescence and UV-Vis | Adenomatous polyposis coli gene | Plasma | 10−21–0.1 × 10−12 M | 1 zM | Carbon materials and an organic dye (toluidine blue) | TCCGCTTCCCGACCCGCACTCCGC | 47 |
Fluorescence | 7.3 × 10−11 M | Graphene quantum dot and SYBER green as dye reporter | 48 | ||||
Fluorescence | Adenomatous polyposis coli | — | 1.0 × 10−10 to 1.0 × 10−6 M | 6.2 × 10−11 M | CdTe quantum dots | 5′-TCCGCTTCCCGACCCGCACTCCGC-3′ | 50 |
FRET | — | — | 40 nM | 0.25 U mL−1 | Gold nanorods | FAM-5′-CCTTTTGATCATTTT-FAM-3′ | 53 |
FRET | RASSF1A, OPCML, and HOXA9 promoters | Ovarian cancer | 85.7% | Cationic conjugated polymer (CCP, poly{(1,4-phenylene)-2,7-[9,9-bis(6′-N,N,N-trimethyl ammonium)-hexyl fluorene]dibromide}) | RASSF1A | 54 | |
F:5′-GGAGGCGCTGAAGTCGG-3′ | |||||||
R:5′-GCCCAGCGGGTGCCA-3 | |||||||
OPCML | |||||||
5′-GCCAGTGTCAGTTTTCAGTTTG-3′ | |||||||
5′-ATCCCTGACCGCCACTTT-3′ | |||||||
HOXA9 | |||||||
5′-TGGACTCGTTCCTGCTGG-3′ | |||||||
5′-TGGTGGTGATGGTGGTGGTA-3′ | |||||||
FRET | P53 tumor suppressor gene promoter | Human serum sample | 5 pM to 100 pM | 2.2 pM | Gold nanoparticle | 6′-FAM-5′-TCCGGTTCCCGACCCGGACTCCGCAAAAAA-3′-SH | 55 |
FRET | — | 0–100 nM | — | Up-conversion nanoparticles (UCNPs) and gold nanorods (AuNRs) | Probe: biotin-5′-ATACCmGGTCTAAA-3′-S-S methylated single-stranded DNA (target): 5′-AGACCmGGTAT-3′ unmethylated single-stranded DNA (target): 3′-TATGGCCAGA-5′ | 40 | |
MS-qFRET | p15INK4B | Cell lines, clinical samples from patients with acute myeloid leukemia. | — | — | Quantum dots | Primer sequences for p15INK4B: Methylated sense 5′-GGTTTTTTATTTTGTTAGAGCGAGGC-3′ | 57 |
Methylated anti-sense 5′-TAACCGCAAAATACGAACGCG-3′ | |||||||
Unmethylated sense 5′-GGTTGGTTTTTTATTTTGTTAGAGTGAGGT-3′ | |||||||
Unmethylated anti-sense 5′-AACCACTCTA ACCACAAAATAC | |||||||
AAACACA-3′ | |||||||
MS-UC-FRET | CDKN2Agene | — | — | 0.1% | Up-conversion nanoparticles (UCNPs), SYTOX orange dye | 5′-biotin-TTATTAGAGGGTGGGGCGGATCGC-3′ | 58 |
Detection method | Biomarker | Clinical sample | Linear range | LOD | Nanomaterial | Sequences of detection probe | Ref. |
---|---|---|---|---|---|---|---|
FRET | CDKN2A, TFPf2, CHFR | Synthesized sequence | — | — | Quantum dots, FRET linker probes (FLPs) | CDKN2A | 63 |
Sense: TTATTAGAGGGTGGGGCGGATCGC | |||||||
Anti-sense: GACCCCGAACCGCGACCGTAA | |||||||
FLP: CTACCTACTCTCCCCCTCTCCRCAACCRCC | |||||||
TFPf2 | |||||||
Sense: GTTCGTTGGGTAAGGCGTTC | |||||||
Anti-sense: CATAAAACGAACACCCGAACCG | |||||||
FLP: ACCGCGCACCTCCTCCCGCCAA | |||||||
CHFR | |||||||
Sense: GTTATTTTCGTGATTCGTAGGCGAC | |||||||
Anti-sense: CGAAACCGAAAATAACCCGCG | |||||||
FLP: CGCTCGACCATCTTTAATCCTAACCAAACGACTTC | |||||||
FRET | PCDHGB6, HOXA9 and RASSF1A | Lung adenocarcinoma and adjacent nontumorous tissues | — | Up to 90% | Amino-CdSe/CdS/ZnS QDs | PCDHGB6 | 64 |
GATGTACACCTGCATTTTCG | |||||||
CGTTCGCTCGGGTTCTCGCT | |||||||
HOXA9 | |||||||
CCAACGGGTGAGAATAAAC | |||||||
AAAAACTACAAGTGGCATGA | |||||||
RASSF1A | |||||||
AAGATCACGGTCCAGCCTC | |||||||
CTTCGTCCCCTCCTCACAC | |||||||
PCDHGB6, HOXA9 and RASSF1A | NSCLC tissue samples and noninvasive bronchial brushing specimens | — | Sensitivity of 92% (AUC1/40.977, Po0.001) and 80% (AUC1/40.907, Po0.001) | Quantum dots | — | 64 | |
SPR | Adenomatous polyposis coli | Synthesized sequence | — | 5 pmol | — | 5′-biotin-CTGmCGGAGTGmCGGGTmCGGGAAGmCGG-3′ | 70 |
SPR | — | MCF7 cell | 0 to 400 nM | 100 nM | — | — | 71 |
SPR | — | — | 0.5 to 120 U/mL | 0.2 U/mL | Au nanorod | — | 75 |
SERS | CDKN2/p16/MTS1 (p16) | Synthesized sequence | — | 3 pM | AuNPs | 5′-SH-C6-TAC CTA CTC TAC CCC TCTCC-3′ | 76 |
SERS | Cancer-related genes cadherin 1 (CDH1) and retinoic acid receptor beta (RARB) | Synthesized sequence | — | — | — | CDH1 | 93 |
Methylated probe (CMP): 5′-TAA TTT TAG GTT AGA GGG TTA TmCG mCG -3′ | |||||||
Unmethylated probe (CUMP): 5′-TAA TTT TAG GTT AGA GGG TTA TTG TG-3′ | |||||||
Methylated target (CMT): 5′-CG CGA TAA CCC TCT AAC CTA AAA TTA-3′ | |||||||
Unmethylated target (CUMT): 5′-CA CAA TAA CCC TCT AAC CTA AAA TTA-3′ | |||||||
RARB | |||||||
Methylated probe (RMP): 5′-GGT TAG TAG TTmCGGG TAG GGT TTA TmC-3′ | |||||||
Unmethylated probe (RUMP): 5′- GGT TAG TAG TTTGGG TAG GGT TTA TT-3′ | |||||||
Methylated target (RMT): 5′-GAT AAA CCC TAC CCG AAC TAC TAA CC-3′ | |||||||
Unmethylated target (RUMT): 5′-AAT AAA CCC TAC CCA AAC TAC TAA CC-3′ | |||||||
SERS | Real cell sample | — | 1.8 pmol L-1 | Wrapped graphene-Ag array, AuNPs | — | 95 |
Detection method | Biomarker | Clinical sample | Linear range | LOD | Nanomaterial | Sequences of detection probe | Ref. |
---|---|---|---|---|---|---|---|
SERS | MDA-MB-231, MDAMB-468 and HCC1937 cell lines, | Synthetic targets, breast cancer cell lines and a serum-derived DNA sample | — | 0.5 pM | AuNPs, 4-mercapto-3-nitro benzoic acid (MNBA), 4-mercaptobenzoic acid (MBA) | Capture probe HS-AGTTGTGCAGGTGGT | 96 |
SERS detection probe 1 HS-CAGATCGTCATGTTC | |||||||
SERS detection probe 2 HS-TCTGCACCAATGTAC | |||||||
Colorimetry | GSPTP1 gene | Urine | — | 5% methylation differences | MBD magnetic beads, SA-HRP | Forward primer: AACCCCCTTATCCCTCCGTCGTGTGGCTTTTAC | 99 |
Reverse primer: AAACAGGTTCCTCCGAAGATTTCACACAACACT | |||||||
Colorimetry | CpG islands of microRNA 9–1 | Cancer cell line | — | — | Gold nanoparticle | No reported | 100 |
Colorimetry | — | Human serum | 20 to 120 nM | 0.13% | Gold nanoparticle | No reported | 101 |
Colorimetry | p16/CDKN2 promoter | Breast cancer samples | 100 fM to 10 nM | 93 fM | 3,3′,5,5′-Tetramethylbenzidine | Methylated DNA: CGAGCTGCCTGGAGTTGCGTTCCAGGCGTmCGGCmCC | 102 |
CTGGGCCGTCACCGCG | |||||||
Unmethylated DNA: CGAGCTGCCTGGAGTTGCGTTCCAGGCGTCCGGCC | |||||||
CCTGGGCCGTCACCGCG | |||||||
Circular template: CACGCGATCCGCCCCACCCTCCGCGGTGACGGCCCAG | |||||||
GAATTCGTGTAACTACACGAATTCCAACCGCCGAACG | |||||||
Primer: ACCAAGAGCAACTACACGAATTC | |||||||
Capture probe: HOOC-AACCGTCTTCCAAGAGACCTTCTCCAGGCAGCTC G | |||||||
Biotinylated probe: GCGATCCGCCCCA-biotin |
In summary, recent progresses on the epigenetic researches using optical biosensing of DNA methylation were surveyed. Many examples of the optical biosensors have been reported for extraction and bisulfite treatment, DNA methylation detection based photonic devices/methods using microfluidic and smartphone-based techniques. Also, assay of methyltranseferase activity using photonic measurement by was performed. Many nanomaterials have been reported to increase the sensitivity of microfluidic and lateral flow tests, such as carbon nanotubes, quantum dots, and metal nanoparticles that allow highly sensitive and rapid measurements in small volumes of materials. Using a combination of nanoparticles and other optical based amplification methods integrated with microfluid and smartphone, in the future these tests will be used with high sensitivity to detect DNA methylation. There are also some problems in using these tests, including non-specific and non-selective adsorption when using real samples. We hope that the relevant problems will be overcome by increasing progress in improving these tests.
In this review, labeled and unlabeled methods for evaluating DNA methylation using fluorimetric, SERS, SPR, FRET, and colorimetric methods and evaluating nucleotide changes in DNA sequence based on mobile phones and integrating these methods into microfluidic systems have been reviewed and many examples are given. In this sensing process, different types of nanomaterials, including GQD, QD, magnetic nanomaterials, cationic conjugated polymer, MBD magnetic beads, Au nanorod, AuNPs, CdTe, UCNPs, wrapped Ag array, as well as organic dyes as chromophores and fluorophores have been used. Therefore, the use of a combination of these methods and the use of different nanomaterials can increase the detection sensitivity and by reducing the analysis time, it enables the evaluation in low volume samples. In real biological samples, due to the complexity of the cellular environment and the large size of the genome, first, it is necessary to extract DNA, then amplify the desired region of the genome by PCR. The toxicity of nanomaterials used in synthesis probes can affect the structure of DNA in real biological samples and should be further studied and clarified.
It is hoped that in the future, with the advancement of science and technology and the use of high-sensitivity nanomaterials and eliminating the disadvantages of these methods, microfluidic methods can be routinely used to detection of DNA methylation and early stage diagnosis of cancer.
Surface Plasmon Resonance (SPR) based biosensors are simple and fast and label-free detection assays which is used to detect different types of biomolecules without using any fluorophores and chromophores. Also, it measures directly binding constant and affinity; and consumes less reagents.69 Surface-enhanced Raman spectroscopy (SERS) is sensitive to any changes in conformation of the biomolecules. Low detection limit, interference-free high, and selectivity are several desirable properties. In this method, a wide range of excitation wavelengths from NIR to red excitations can be used, which reduces photo damaging to biological samples. The colorimetric methods are very simple and is based on color changes due to the reaction of nanomaterials with the desired analyte that can be seen with the naked eye. Color changes due to the reaction of nanomaterials with the desired analyte can be observed. Low sensitivity and selectivity and semi-quantitative are the major disadvantages of this method. Decrease in the color intensity of the solution containing the sample with the passage of time and false positive results due to non-specific accumulation of functional nanoparticles in complex biological samples limit their practical application.112 In fluorescence resonance energy transfer (FRET), energy transfers from an excited donor to an atomic structurally appropriate acceptor fluorophore. FRET provides indirect information about the various biomedical actions like conformation changes. FRET is highly sensitive to the distance between acceptor and donor (about 10 nm) which makes it a very sensitive technology for the detection of near-field interaction between molecules. Fluorescence assays has high intrinsic sensitivity and can be integrated with receptors with high selectivity. In fluorescence detection, a specific wavelength of electromagnetic radiation excites fluorophore molecules and an optical transducer detects the intensity of shifted and emitted light.32,42
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