Hybridization-based Techniques Research Articles

Blocking uncertain mispriming errors of PCR

The polymerase chain reaction (PCR) plays a central role in genetic engineering and is routinely used in various applications, from biological and medical research to the diagnosis of viral infections. PCR is an extremely sensitive method for detecting target DNA sequences, but it is substantially error prone. In particular, the mishybridization of primers to contaminating sequences can result in false positives for virus tests. The blocker method, also called the clamping method, has been developed to suppress mishybridization errors. However, its application is limited by the requirement that the contaminating template sequence be known in advance. Here, we demonstrate that a mixture of multiple blocker sequences effectively suppresses the amplification of contaminating sequences even in the presence of uncertainty. The blocking effect was characterized by a simple model validated by experiments. Furthermore, the modeling allowed us to minimize the errors by optimizing the blocker concentrations. The results highlighted an inherent robustness of the blocker method in that fine-tuning the blocker concentrations is not necessary. Our method extends the applicability of PCR and other hybridization-based techniques, including genome editing, RNA interference, and DNA nanotechnology, by improving their fidelity.

Silver-Coordinated Watson-Crick Pairing-Driven Three-Dimensional DNA Walker for Locus-Specific Detection of Genomic N6-Methyladenine and N4-Methylcytosine at the Single-Molecule Level.

N6-Methyladenine (6mdA) and N4-methylcytosine (4mdC) are the two most dominant DNA modifications in both prokaryotes and eukaryotes, but standard hybridization-based techniques cannot be applied for the 6mdA/4mdC assay. Herein, we demonstrate the silver-coordinated Watson-Crick pairing-driven three-dimensional (3D) DNA walker for locus-specific detection of genomic 6mdA/4mdC at the single-molecule level. 6mdA-DNA and 4mdC-DNA can selectively hybridize with the binding probes (BP1 and BP2) to form 6mdA-DNA-BP1 and 4mdC-DNA-BP2 duplexes. The 6mdA-C/4mdC-A mismatches cannot be stabilized by AgI, and thus, 18-nt BP1/BP2 cannot be extended by the catalysis of KF exonuclease. Through toehold-mediated strand displacement (TMSD), the signal probe (SP1/SP2) functionalized on the gold nanoparticles (AuNPs) can competitively bind to BP1/BP2 in 6mdA-DNA-BP1/4mdC-DNA-BP2 duplex to obtain SP1-18-nt BP1 and SP2-18-nt BP2 duplexes. The resulting DNA duplexes can act as the substrates of lambda exonuclease, leading to the cleavage of SP1/SP2 and the release of Cy3/Cy5 and 18-nt BP1/BP2. The released 18-nt BP1/BP2 can subsequently serve as the walker DNA, moving along the surface of the AuNP to activate dynamic 3D DNA walking and releasing abundant Cy3/Cy5. The released Cy3/Cy5 can be quantified by single-molecule imaging. This nanosensor exhibits high sensitivity with a limit of detection (LOD) of 9.80 × 10-15 M for 6mdA-DNA and 9.97 × 10-15 M for 4mdC-DNA. It can discriminate 6mdA-/4mdC-DNA from unmodified genomic DNAs, distinguish 0.01% 6mdA-/4mdC-DNA from excess unmethylated DNAs, and quantify 6mdA-/4mdC-DNA at specific sites in genomic DNAs of liver cancer cells and Escherichia coli plasmid cloning vector, providing a new platform for locus-specific analysis of 6mdA/4mdC in genomic DNAs.

Heteromultivalency enables enhanced detection of nucleic acid mutations.

Detecting genetic mutations such as single nucleotide polymorphisms (SNPs) is necessary to prescribe effective cancer therapies, perform genetic analyses and distinguish similar viral strains. Traditionally, SNP sensing uses short oligonucleotide probes that differentially bind the SNP and wild-type targets. However, DNA hybridization-based techniques require precise tuning of the probe's binding affinity to manage the inherent trade-off between specificity and sensitivity. As conventional hybridization offers limited control over binding affinity, here we generate heteromultivalent DNA-functionalized particles and demonstrate optimized hybridization specificity for targets containing one or two mutations. By investigating the role of oligo lengths, spacer lengths and binding orientation, we reveal that heteromultivalent hybridization enables fine-tuned specificity for a single SNP and dramatic enhancements in specificity for two non-proximal SNPs empowered by highly cooperative binding. Capitalizing on these abilities, we demonstrate straightforward discrimination between heterozygous cis and trans mutations and between different strains of the SARS-CoV-2 virus. Our findings indicate that heteromultivalent hybridization offers substantial improvements over conventional monovalent hybridization-based methods.

An ultrafast ratiometric electrochemical biosensor based on potential-assisted hybridization for nucleic acids detection

The development of rapid nucleic acid detection methods, which are promising the diagnostic standard of the infectious disease, could expand more options for disease traceability and controllability. Nucleic acid hybridization-based biosensing techniques still encounter limitations in meeting the requirements for rapid detection. Therefore, we proposed a potential-assisted ratiometric electrochemical biosensor for rapid and accurate target DNA detection. This dual-signal analysis system actuated an enzyme-free detection process. The application of an external electric field accelerated molecular dynamics, resulting in highly efficient collision chances. This hybridization process was thus improved from hours to minutes compared with passive hybridization approach. The biosensor not only had a high sensitivity with the detection limit of 12 fM, but also features a robust capability in identifying single-base mismatch. Moreover, the biosensor realized sensitive detection of target DNA in complex biological environments. Overall, this sensing strategy exhibits a promising potential for application in point-of-care testing.

Ex-Ex Primer: An experimentally validated tool for designing oligonucleotides spanning spliced nucleic acid regions from multiple species

A comparative study of existing junction-primer-designing software revealed many limitations among them. Hence, we developed a new computational program, Ex-Ex Primer, which offers many improved, user-friendly features, and reliably creates junction primers and probes. This online suite can also be used to design primers/probes from other sites of nucleic acid recombination, insertion, deletion, or splicing, and regular probes/primers. The threshold for Tm difference between the complete junctional primer vs its partial sequence, which maps to one of the junctional regions, was changed based on an important observation made during the initial experimental validations. The tool is now thoroughly checked with RT-PCR and RT-qPCR experiments with more than 250 primer pairs over a few years. The junction-primer-designing features of the software are also better than other equivalent tools. Visualizing the exons and introns across transcripts, and enabling primer designing based on information from Ensembl, are some of the unique features of this tool. The primers suggested by the tool can be used to detect the expression of known transcripts, to test the existence of predicted DNA or RNA joints via hybridization-based techniques, or for validation and in silico analysis of RNA-Seq. URL: http://resource2.ibab.ac.in/exprimer/.

On the Origin of Tetraploid Vernal Grasses (Anthoxanthum) in Europe.

Polyploidy has played a crucial role in the evolution of many plant taxa, namely in higher latitudinal zones. Surprisingly, after several decades of an intensive research on polyploids, there are still common polyploid species whose evolutionary history is virtually unknown. Here, we addressed the origin of sweet vernal grass (Anthoxanthum odoratum) using flow cytometry, DNA sequencing, and in situ hybridization-based cytogenetic techniques. An allotetraploid and polytopic origin of the species has been verified. The chromosome study reveals an extensive variation between the European populations. In contrast, an autopolyploid origin of the rarer tetraploid vernal grass species, A. alpinum, has been corroborated. Diploid A. alpinum played an essential role in the polyploidization of both European tetraploids studied.

An examination of critical parameters in hybridization-based epigenotyping using magnetic microparticles.

Gene-specific promoter methylation is involved in gene silencing and is an important cancer biomarker. Cancer-specific methylation patterns have been observed and clinically validated for numerous gene promoters, but the knowledge gleaned from this large body of work is currently under-utilized in the clinic. Methylation-specific PCR is currently the gold standard method for clinical methylation assessment, but several research groups have proposed hybridization-based techniques which could be simpler to implement and provide more accurate results. However, the sensitivity of this easier alternative must be improved dramatically in order to compete with methylation-specific PCR. Efficient sample capture is a key step in maximizing sensitivity, so here we investigate the key parameters involved in (i) maximizing the capture of gene-specific target DNA molecules at the surfaces of functionalized, magnetic microparticles and (ii) recognizing DNA methylation using an engineered methyl-CpG-binding domain (MBD) protein. The magnetic bead density, the probe concentration, and the MBD concentration were very important for maximizing detection, and other variables such as the hybridization time also impacted the target capture efficiency but had a smaller effect on the overall methylation assay. The effect of genomic DNA on the capture of the target sequence was also investigated, and model methylated vs. unmethylated target sequences could be distinguished in the presence of 1 ng/μL genomic DNA. The findings we report related to the underlying binding events involved in hybridization-based epigenotyping can be leveraged in combination with the many signal amplification and detection approaches that are currently being developed. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1589-1595, 2018.

Development of a genotype-by-sequencing immunogenetic assay as exemplified by screening for variation in red fox with and without endemic rabies exposure.

Pathogens are recognized as major drivers of local adaptation in wildlife systems. By determining which gene variants are favored in local interactions among populations with and without disease, spatially explicit adaptive responses to pathogens can be elucidated. Much of our current understanding of host responses to disease comes from a small number of genes associated with an immune response. High‐throughput sequencing (HTS) technologies, such as genotype‐by‐sequencing (GBS), facilitate expanded explorations of genomic variation among populations. Hybridization‐based GBS techniques can be leveraged in systems not well characterized for specific variants associated with disease outcome to “capture” specific genes and regulatory regions known to influence expression and disease outcome. We developed a multiplexed, sequence capture assay for red foxes to simultaneously assess ~300‐kbp of genomic sequence from 116 adaptive, intrinsic, and innate immunity genes of predicted adaptive significance and their putative upstream regulatory regions along with 23 neutral microsatellite regions to control for demographic effects. The assay was applied to 45 fox DNA samples from Alaska, where three arctic rabies strains are geographically restricted and endemic to coastal tundra regions, yet absent from the boreal interior. The assay provided 61.5% on‐target enrichment with relatively even sequence coverage across all targeted loci and samples (mean = 50×), which allowed us to elucidate genetic variation across introns, exons, and potential regulatory regions (4,819 SNPs). Challenges remained in accurately describing microsatellite variation using this technique; however, longer‐read HTS technologies should overcome these issues. We used these data to conduct preliminary analyses and detected genetic structure in a subset of red fox immune‐related genes between regions with and without endemic arctic rabies. This assay provides a template to assess immunogenetic variation in wildlife disease systems.

Rapid and label-free detection of H5N1 virus using carbon nanotube network field effect transistor

DNA hybridization-based detection techniques are widely used in genetics, medicine, and drug discovery. However, the current techniques are usually based on labels and reagents that are time consuming and complex to implement. In this study, we report a label-free DNA sensor based on single-walled carbon nanotube field effect transistor (SWCNTFET) for selective DNA hybridization detection of H5N1 virus. A network of single-walled carbon nanotubes (SWCNTs) acts as the conductor channel. Probe DNA sequences were adsorbed onto SWCNTs. The developed DNA sensor can effectively detect full-complementary DNA with concentration as low as 1.25 pM. The sensitivity of the DNA sensor reached approximately 0.28 nM/nA. The effect of the parameters, including DNA probe concentration, its complementary concentration, mismatched sequence, and hybridization time, on the sensor response was also studied. The results showed the potential application of the DNA sensor for medical, environmental, and epidemic detection.

Cryopreserved Bovine Spermatozoal Transcript Profile as Revealed by High-Throughput Ribonucleic Acid Sequencing1

Ejaculated bovine spermatozoa retain a pool of RNAs that may have a function in early embryogenesis and be used as predictors of male fertility. The bovine spermatozoal transcript profile remains incomplete because previous studies have relied on hybridization-based techniques, which evaluate a limited pool of transcripts and cannot identify full-length transcripts. The goal of this study was to sequence the complete cryopreserved bovine spermatozoal transcript profile using Illumina RNA-Sequencing (RNA-Seq). Spermatozoal RNA was pooled from nine bulls with conception rate scores ranging from -2.9 to 3.5 and confirmed to exclude genomic DNA and somatic cell mRNA. After selective amplification of poly(A)(+) RNA and high-throughput sequencing, 6166 transcripts were identified via alignment to the bovine genome (UMD 3.1/bosTau6). RNA-Seq transcript levels (n = 9) were highly correlated with quantitative PCR copy number (r(2) = 0.9747). The bovine spermatozoal transcript profile is a heterogeneous population of degraded and full-length predominantly nuclear-encoded mRNAs. Highly abundant spermatozoal transcripts included PRM1, HMGB4, and mitochondrial-encoded transcripts. Full-length transcripts comprised 66% of the top 368 transcripts (fragments per kilobase of exon per million fragments mapped [FPKM] > 100) and amplification of the full-length transcript or 5' and 3' ends was confirmed for selected transcripts. In addition to the identification of transcripts not previously reported in spermatozoa, several known spermatozoal transcripts from various species were also found. Gene ontology analysis of the FPKM > 100 spermatozoal transcripts revealed that translation was the most predominant biological process represented. This is the first report of the spermatozoal transcript profile in any species using high-throughput sequencing, supporting the presence of mRNA in spermatozoa for further functional and fertility studies.

MicroRNA fate upon targeting with anti-miRNA oligonucleotides as revealed by an improved Northern-blot-based method for miRNA detection

MicroRNAs (miRNAs) are small non-coding RNAs involved in fine-tuning of gene regulation. Antisense oligonucleotides (ONs) are promising tools as anti-miRNA (anti-miR) agents toward therapeutic applications and to uncover miRNA function. Such anti-miR ONs include 2'-O-methyl (OMe), cationic peptide nucleic acids like K-PNA-K3, and locked nucleic acid (LNA)-based anti-miRs such as LNA/DNA or LNA/OMe. Northern blotting is a widely used and robust technique to detect miRNAs. However, miRNA quantification in the presence of anti-miR ONs has proved to be challenging, due to detection artifacts, which has led to poor understanding of miRNA fate upon anti-miR binding. Here we show that anti-miR ON bound to miR-122 can prevent the miRNA from being properly precipitated into the purified RNA fraction using the standard RNA extraction protocol (TRI-Reagent), yielding an RNA extract that does not reflect the real cellular levels of the miRNA. An increase in the numbers of equivalents of isopropanol during the precipitation step leads to full recovery of the targeted miRNA back into the purified RNA extract. Following our improved protocol, we demonstrate by Northern blotting, in conjunction with a PNA decoy strategy and use of high denaturing PAGE, that high-affinity anti-miRs (K-PNA-K3, LNA/DNA, and LNA/OMe) sequester miR-122 without causing miRNA degradation, while miR-122 targeting with a lower-affinity anti-miR (OMe) seems to promote degradation of the miRNA. The technical issues explored in this work will have relevance for other hybridization-based techniques for miRNA quantification in the presence of anti-miR ONs.

Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarrays

C57BL/6J (B6) and DBA/2J (D2) are two of the most commonly used inbred mouse strains in neuroscience research. However, the only currently available mouse genome is based entirely on the B6 strain sequence. Subsequently, oligonucleotide microarray probes are based solely on this B6 reference sequence, making their application for gene expression profiling comparisons across mouse strains dubious due to their allelic sequence differences, including single nucleotide polymorphisms (SNPs). The emergence of next-generation sequencing (NGS) and the RNA-Seq application provides a clear alternative to oligonucleotide arrays for detecting differential gene expression without the problems inherent to hybridization-based technologies. Using RNA-Seq, an average of 22 million short sequencing reads were generated per sample for 21 samples (10 B6 and 11 D2), and these reads were aligned to the mouse reference genome, allowing 16,183 Ensembl genes to be queried in striatum for both strains. To determine differential expression, ‘digital mRNA counting’ is applied based on reads that map to exons. The current study compares RNA-Seq (Illumina GA IIx) with two microarray platforms (Illumina MouseRef-8 v2.0 and Affymetrix MOE 430 2.0) to detect differential striatal gene expression between the B6 and D2 inbred mouse strains. We show that by using stringent data processing requirements differential expression as determined by RNA-Seq is concordant with both the Affymetrix and Illumina platforms in more instances than it is concordant with only a single platform, and that instances of discordance with respect to direction of fold change were rare. Finally, we show that additional information is gained from RNA-Seq compared to hybridization-based techniques as RNA-Seq detects more genes than either microarray platform. The majority of genes differentially expressed in RNA-Seq were only detected as present in RNA-Seq, which is important for studies with smaller effect sizes where the sensitivity of hybridization-based techniques could bias interpretation.

Joint estimation of DNA copy number from multiple platforms.

DNA copy number variants (CNVs) are gains and losses of segments of chromosomes, and comprise an important class of genetic variation. Recently, various microarray hybridization-based techniques have been developed for high-throughput measurement of DNA copy number. In many studies, multiple technical platforms or different versions of the same platform were used to interrogate the same samples; and it became necessary to pool information across these multiple sources to derive a consensus molecular profile for each sample. An integrated analysis is expected to maximize resolution and accuracy, yet currently there is no well-formulated statistical method to address the between-platform differences in probe coverage, assay methods, sensitivity and analytical complexity. The conventional approach is to apply one of the CNV detection ('segmentation') algorithms to search for DNA segments of altered signal intensity. The results from multiple platforms are combined after segmentation. Here we propose a new method, Multi-Platform Circular Binary Segmentation (MPCBS), which pools statistical evidence across platforms during segmentation, and does not require pre-standardization of different data sources. It involves a weighted sum of t-statistics, which arises naturally from the generalized log-likelihood ratio of a multi-platform model. We show by comparing the integrated analysis of Affymetrix and Illumina SNP array data with Agilent and fosmid clone end-sequencing results on eight HapMap samples that MPCBS achieves improved spatial resolution, detection power and provides a natural consensus across platforms. We also apply the new method to analyze multi-platform data for tumor samples. The R package for MPCBS is registered on R-Forge (http://r-forge.r-project.org/) under project name MPCBS. Supplementary data are available at Bioinformatics online.

Sequence-based genotyping HPV L1 DNA and RNA transcripts in clinical specimens

We developed a direct sequence-based genotyping method to detect single and multiple HPV L1 DNA and RNA types in genital and dermatological specimens. Our method couples PCR amplification of a highly conserved HPV L1 segment using a broad spectrum-generic primer cocktail mix with automated sequencing of amplified PCR products, followed by GenBank sorting of sequencing data. We genotyped 5 skin and 30 cervical HPV DNA-positive specimens using this method and established its first experimentally derived working cutoff value with the aid of commercial hybridization-based techniques. We suggest that sequence-based genotyping of appropriately amplified DNA and RNA products may serve as a primary HPV detection method in dermatological specimens. It can be applied as an all-purpose genotyping method for rare HPV types not detectable by commercial hybridization-based techniques and for sorting multiple HPV infections by order of prevalence.

Critical evaluation of the FANTOM3 non-coding RNA transcripts

We studied the genomic positions of 38,129 putative ncRNAs from the RIKEN dataset in relation to protein-coding genes. We found that the dataset has 41% sense, 6% antisense, 24% intronic and 29% intergenic transcripts. Interestingly, 17,678 (47%) of the FANTOM3 transcripts were found to potentially be internally primed from longer transcripts. The highest fraction of these transcripts was found among the intronic transcripts and as many as 77% or 6929 intronic transcripts were both internally primed and unspliced. We defined a filtered subset of 8535 transcripts that did not overlap with protein-coding genes, did not contain ORFs longer than 100 residues and were not internally primed. This dataset contains 53% of the FANTOM3 transcripts associated to known ncRNA in RNAdb and expands previous similar efforts with 6523 novel transcripts. This bioinformatic filtering of the FANTOM3 non-coding dataset has generated a lead dataset of transcripts without signs of being artefacts, providing a suitable dataset for investigation with hybridization-based techniques.

Genetic fingerprinting: Advancing the frontiers of crop biology research

Genetic fingerprinting is one of the DNA-based techniques that have permeated a wide gamut of biological research, beginning with forensic biology and medicine and now extending to agriculture. The advent of polymerase chain reaction (PCR) ushered a revolutionary approach in producing genetic fingerprints, supplanting hybridization-based techniques. PCR-based methods can be accomplished using either arbitrary markers of unknown location in the genome or those markers that target specific genome sites. Among agricultural crops, rice and maize are the most intensively characterized for DNA markers. At present, genetic fingerprinting has also been applied in many aspects of crop biology, such as taxonomy and phylogeny, diversity analysis, hybridity testing, gene mapping, molecular breeding, and somaclonal variation. This paper describes genetic fingerprinting technology and discusses its applications in the major crops of the Philippines, highlighting the progress made by Filipino scientists.

A novel manual pooling system for preparing three‐dimensional pools of a deep coverage soybean bacterial artificial chromosome library

Compared with hybridization-based techniques, polymerase chain reaction-based screening of large insert libraries has been used widely as it is fast, easy and sensitive. However, various pooling strategies are needed to ensure efficient screening. It is time-consuming and labourious to prepare three-dimensional pools for a deep coverage bacterial artificial chromosome (BAC) library of soybean (1.12×10(9) bp) in the absence of robotic facility. In the present study, we describe a novel manual pooling system for preparing three-dimensional pools of a soybean BAC library. This simple technique enables a single researcher to construct three-dimensional pools for a deep-coverage (12 haploid genome equivalents) BAC library of soybean in less than 2 months without any robotic manipulation. When the prepared three-dimensional pools were screened with 29 polymerase chain reaction-based markers, an average of 9.2 clones per marker were identified. These identified clones will be useful either in quantitative trait loci gene isolation or in synteny study between soybean and other legumes including Lotus japonicus. This efficient pooling system could be applied to any other BAC libraries without the need for robotic manipulation.

Role of miRNA in carcinogenesis and biomarker selection: a methodological view

miRNAs, their involvement in cancer development and their potential to be robust biomarkers of diagnosis, staging, prognosis and response to therapy are reviewed. In small RNA animal biogenesis, miRNA genes in the nucleus are transcribed to generate long primary transcripts (pri-miRNAs), which are first cropped by RNase-III-type enzyme Drosha to release hairpin intermediates (pre-miRNAs) in the nucleus. Pre-miRNA is then exported to the cytoplasm by exportin-5. Following arrival in the cytoplasm, pre-miRNAs are subjected to the second processing step (dicing) to release the mature miRNA duplex, which is then separated: one strand becomes the mature miRNAand the other is degraded. These tiny miRNAs induce messenger degradation, translational repression or both. However, there is no evidence to demonstrate that these two mechanisms exist in the regulation of the same gene. Since a miRNA can target numerous mRNAs, often in combination with other miRNAs, these miRNAs operate a highly complex regulatory network. The specific function in most mammalian miRNAs is unknown. However, data suggest that miRNA genes, approximately 1% of all human genes, regulate protein production for 20–30% or more of all genes. miRNA expression profiles are effective for classifying solid and hematologic human cancers, and have shown great promise for early cancer detection. This is of great importance for effective treatment before the cells metastasize; therefore, tumors can be surgically resected. Computer-based prediction approaches of miRNAs and their targets, and biological validation techniques for ascertaining these predictions, currently play a central role in the discovery of miRNAs and in elucidating their function. Guidelines have been established for the identification and annotation of new miRNAs to distinguish them from other RNAs, especially siRNAs. These guidelines take into account factors such as transcript structure, conservation and processing, and a centralized, searchable database of all possible miRNA sequence information and annotation for humans and of more than 38 other species. Two approaches are used to characterize miRNAs: studying expression of known miRNAs by hybridization-based techniques (e.g., northern blots, RNase protection, primer extension, real-time, quantitative PCR and microarrays) or discovery of novel miRNAs molecules by cloning and sequencing. Owing to their adaptability and high throughput, microarrays may prove to be the preferred platform for whole-genome miRNA expression analysis.

Genotyping with microfluidic devices

In the past few years, electrophoresis microchips have been increasingly utilized to interrogate genetic variations in the human and other genomes. Microfluidic devices can be readily applied to speed up existing genotyping protocols, in particular the ones that require electric field-mediated separations in conjunction with restriction fragment analysis, DNA sequencing, hybridization-based techniques, allele-specific amplification, heteroduplex analysis, just to list the most important ones. As a result of recent developments, microfabricated electrophoresis devices offer several advantages over conventional slab-gel electrophoresis, such as small sample volume requirement, low reagent consumption, the option of system integration and easy multiplexing. The analysis speed of microchip electrophoresis is significantly higher than that of any other electric field-mediated separation techniques. State-of-the-art microfluidic bioanalytical devices already claim their place in most molecular biology laboratories. This review summarizes the recent developments in microchip electrophoresis methods of nucleic acids, particularly for rapid genotyping, that will most likely play a significant role in the future of clinical diagnostics.

Molecular Detection of Bacteria Producing Newer Types of β-Lactamases

In Gram-negative pathogens, β-lactamase production remains the most important contributing factor to β- lactam resistance. β-lactamases are bacterial enzymes that inactivate β-lactam antibiotics by hydrolysis, which results in ineffective compounds. The three major groups usually referred to as the newer β-lactamases are plasmid-mediated AmpC enzymes, extended-spectrum β-lactamases (ESBLs) and carbapenem-hydrolyzing enzymes (including metallo-β- lactamases [MBLs]). Molecular methods that include simple and multiplex PCR, real-time PCR, DNA sequencing and various hybridization-based techniques are used widely in research and reference laboratories for the detection of organisms producing newer β-lactamases. The routine screening in clinical diagnostic laboratories of organisms producing TEM, SHV and OXA types of ESBLs using genotypic methods remains problematic, while the detection of CTX-Ms, plasmid-mediated AmpCs and MBLs shows clinical usefulness. Molecular methods have advantages over phenotypic tests by accurately detecting resistant genes in a rapid fashion and by defining the precise genetic basis of the resistance mechanism providing important information valuable to the early introduction of infection control practices. Molecular assays have the potential to complement conventional phenotypic susceptibility techniques and impact directly on patient care. Keywords: Molecular assays, detection, extended-spectrum β-lactamases, plasmid-mediated AmpC β-lactamases, metallo-β-lactamases