Exploring the transcription start sites and other genomic features facilitates the accurate identification and annotation of small RNAs across multiple stress conditions in Mycobacterium tuberculosis.

Mycobacterium tuberculosis (MTB) is a pathogen that is known for its ability to persist in harsh environments and cause chronic infections. Understanding the regulatory networks of MTB is crucial for developing effective treatments. Small regulatory RNAs (sRNAs) play important roles in gene expression regulation in all kingdoms of life, and their classification based solely on genomic location can be imprecise due to the computational-based prediction of protein-coding genes in bacteria, which often neglects segments of mRNA such as 5'UTRs, 3'UTRs, and intercistronic regions of operons. To address this issue, our study simultaneously discovered genomic features such as TSSs, UTRs, and operons together with sRNAs in the M. tuberculosis H37Rv strain (ATCC 27294) across multiple stress conditions. Our analysis identified 1,376 sRNA candidates and 8,173 TSSs in MTB, providing valuable insights into its complex regulatory landscape. TSS mapping enabled us to classify these sRNAs into more specific categories, including promoter-associated sRNAs, 5'UTR-derived sRNAs, 3'UTR-derived sRNAs, true intergenic sRNAs, and antisense sRNAs. Three of these sRNA candidates were experimentally validated using 3'-RACE-PCR: predictedRNA_0240, predictedRNA_0325, and predictedRNA_0578. Future characterization and validation are necessary to fully elucidate the functions and roles of these sRNAs in MTB. Our study is the first to simultaneously unravel TSSs and sRNAs in MTB and demonstrate that the identification of other genomic features, such as TSSs, UTRs, and operons, allows for more accurate and specific classification of sRNAs.

In silico selection of aptamers against SARS-CoV-2.

Aptamers are molecular recognition elements that have been extensively deployed in a wide array of applications ranging from diagnostics to therapeutics. Due to their unique properties as compared to antibodies, aptamers were also largely isolated during the COVID-19 pandemic for multiple purposes. Typically generated by conventional SELEX, the inherent drawbacks of the process including the time-consuming, cumbersome and resource-intensive nature catalysed the move to adopt in silico approaches to isolate aptamers. Impressive performances of these in silico-derived aptamers in their respective assays have been documented thus far, bearing testimony to the huge potential of the in silico approaches, akin to the traditional SELEX in isolating aptamers. In this study, we provide an overview of the in silico selection of aptamers against SARS-CoV-2 by providing insights into the basic steps involved, which comprise the selection of the initial single-stranded nucleic acids, determination of the secondary and tertiary structures and in silico approaches that include both rigid docking and molecular dynamics simulations. The different approaches involving aptamers against SARS-CoV-2 were illuminated and the need to verify these aptamers by experimental validation was also emphasized. Cognizant of the need to continuously improve aptamers, the strategies embraced thus far for post-in silico selection modifications were enumerated. Shedding light on the steps involved in the in silico selection can set the stage for further improvisation to augment the functionalities of the aptamers in the future.

The diagnostic potentiality of the RNA aptamer against progesterone receptor isolated by crush and soak (CRUSOAK)-SELEX.

Aptamers are a class of molecular recognition elements that exhibit high binding affinity and specificity against their respective targets. In view of the many advantages aptamers harbor over their counterpart antibodies, we were impelled to isolate an RNA aptamer against progesterone receptor, particularly its DNA binding domain. A total of eight SELEX cycles were executed against the recombinant Progesterone Receptor DNA-binding domain (PR DBD). The RNA-protein complex in the gel shift assay was subjected to crush and soak method to elute the binders prior to conventional sequencing, the step of which was based upon to coin the term CRUSOAK-SELEX. The sequencing revealed three different classes of sequences, with one class termed, PRapt-3, showing the strongest binding against PR DBD. The dissociation constant of PRapt-3 RNA aptamer was estimated at 380 nM ± 35 nM. PRapt-3 was successfully used to develop aptamer-based diagnostic assays such as ELASA, aptamer-based dot blot, and aptamer-based western blot. The prominent highlight is the performance of the aptamer in aptacytostaining, which was unachievable with antibodies. Compared to its counterpart antibodies, PRapt-3 has a better penetration capacity in aptahistostaining using the formalin-fixed paraffin-embedded (FFPE) breast cancer cells and tissue blocks. This study represents the first ever demonstration of an aptamer against progesterone receptor and its diagnostic capacity.

Identification and Characterization of Non-protein Coding RNA Homologs in Serratia Marcescens by Comparative Transcriptomics.

The Serratia marcescens is a Gram-negative bacterium from the Enterobacteriaceae family. Recently, S. marcescens have evolved to become a versatile and opportunistic pathogen. Furthermore, this bacterium is also a multi-drug resistant pathogen exhibiting Extended-Spectrum Beta-Lactamases (ESBL) activity. This bacterium is highly associated with infections in healthcare settings and even leads to death. Hence, an advanced approach based on non-protein coding RNA (npcRNA) of S. marcescens was considered in this study to understand its regulatory roles in virulence, pathogenesis, and the differential expression of these transcripts in various growth phases of the bacterium. BLASTn search of known npcRNAs from Salmonella typhi, Escherichia coli, and Yersinia pestis against S. marcescens was performed to discover putative conserved homologous transcripts. The novelty of these putative homologous npcRNAs was verified by screening through the Rfam web tool. The target mRNA for the homologs was predicted via the TargetRNA2 webtool to understand the possible regulatory roles of these transcripts. The npcRNA homologs, which were predicted to regulate virulence target mRNA were assessed for their expression profile at different growth stages via reverse transcription PCR and the band intensity was quantitatively analysed using the Image J tool. The known npcRNA ssrS, from S. typhi showed expression in S. marcescens during three growth stages (lag, log, and stationary). Expression was observed to be high during the lag phase followed by a similarly low-level expression during the log and no expression during stationary phase. This ssrS homolog was predicted to regulate mRNA that encodes for protein FliR, which is associated with virulence. This is a preliminary study that lay the foundation for further elucidation of more virulence-associated npcRNAs that are yet to be discovered from S. marcescens, which can be useful for diagnostics and therapeutic applications. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-023-01160-y.

A comparative study of aptamer isolation by conventional and microfluidic strategies.

Aptamers are single-stranded oligonucleotide molecules that bind with high affinity and specificity to a wide range of target molecules. The method of systematic evolution of ligands by exponential enrichment (SELEX) plays an essential role in the isolation of aptamers from a randomized oligonucleotide library. To date, significant modifications and improvements of the SELEX process have been achieved, engendering various forms of SELEX from conventional SELEX to microfluidics-based full-chip SELEX. While full-chip SELEX is generally considered advantageous over conventional SELEX, there has not yet been a conclusive comparison between the methods. Herein, we present a comparative study of three SELEX strategies for aptamer isolation, including those using conventional agarose bead-based partitioning, microfluidic affinity selection, and fully integrated microfluidic affinity selection and PCR amplification. Using immunoglobulin E (IgE) as a model target molecule, we compare these strategies in terms of the time and cost for each step of the SELEX process including affinity selection, amplification, and oligonucleotide conditioning. Target-binding oligonucleotides in the enriched pools are sequenced and compared to assess the relative efficacy of the SELEX strategies. We show that the microfluidic strategies are more time- and cost-efficient than conventional SELEX.

Generation of an RNA aptamer against LipL32 of Leptospira isolated by Tripartite-hybrid SELEX coupled with in-house Python-aided unbiased data sorting.

Leptospirosis is a potentially life-threatening zoonosis caused by pathogenic Leptospira. The major hurdle of the diagnosis of Leptospirosis lies in the issues associated with current methods of detection, which are time-consuming, tedious and the need for sophisticated, special equipments. Restrategizing the diagnostics of Leptospirosis may involve considerations of the direct detection of the outer membrane protein, which can be faster, cost-saving and require fewer equipments. One such promising marker is LipL32, which is an antigen with high amino acid sequence conservation among all the pathogenic strains. In this study, we endeavored to isolate an aptamer against LipL32 protein via a modified SELEX strategy known as tripartite-hybrid SELEX, based on 3 different partitioning strategies. In this study, we also demonstrated the deconvolution of the candidate aptamers by using in-house Python-aided unbiased data sorting in examining multiple parameters to isolate potent aptamers. We have successfully generated an RNA aptamer against LipL32 of Leptospira, LepRapt-11, which is applicable in a simple direct ELASA for the detection of LipL32. LepRapt-11 can be a promising molecular recognition element for the diagnosis of leptospirosis by targeting LipL32.

Biocomputational Identification of sRNAs in Leptospira interrogans Serovar Lai.

Regulatory small RNAs (sRNA) are RNA transcripts that are not translated into proteins but act as functional RNAs. Pathogenic Leptospira cause an epidemic spirochaetal zoonosis, Leptospirosis. It is speculated that Leptospiral sRNAs are involved in orchestrating their pathogenicity. In this study, biocomputational approach was adopted to identify Leptospiral sRNAs. In this study, two sRNA prediction programs, i.e., RNAz and nocoRNAc, were employed to screen the reference genome of Leptospira interrogans serovar Lai. Out of 126 predicted sRNAs, there are 96 cis-antisense sRNAs, 28 trans-encoded sRNAs and 2 sRNAs that partially overlap with protein-coding genes in a sense orientation. To determine whether these candidates are expressed in the pathogen, they were compared with the coverage files generated from our RNA-seq datasets. It was found out that 7 predicted sRNAs are expressed in mid-log phase, stationary phase, serum stress, temperature stress and iron stress while 2 sRNAs are expressed in mid-log phase, stationary phase, serum stress, and temperature stress. Besides, their expressions were also confirmed experimentally via RT-PCR. These experimentally validated candidates were also subjected to mRNA target prediction using TargetRNA2. Taken together, our study demonstrated that biocomputational strategy can serve as an alternative or as a complementary strategy to the laborious and expensive deep sequencing methods not only to uncover putative sRNAs but also to predict their targets in bacteria. In fact, this is the first study that integrates computational approach to predict putative sRNAs in L. interrogans serovar Lai. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-022-01050-9.

Aptamers functionalized hybrid nanomaterials for algal toxins detection and decontamination in aquatic system: Current progress, opportunities, and challenges.

Purification and detection of algal toxins is the most effective technique to ensure that people have clean and safe drinking water. To achieve these objectives, various state-of-the-art technologies were designed and fabricated to decontaminate and detect algal toxins in aquatic environments. Amongst these technologies, aptamer-functionalized hybrid nanomaterials conjugates have received significant consideration as a result of their several benefits over other methods, such as good controllable selectivity, low immunogenicity, and biocompatibility. Because of their excellent properties, aptamer-functionalized hybrid nanomaterials conjugates are one of several remarkable agents. Several isolated aptamer sequences for algal toxins are addressed in this review, as well as aptasensor and decontamination aptamer functionalized metal nanoparticle-derived hybrid nanocomposites applications. In addition, we present diverse aptamer-functionalized hybrid nanomaterial conjugates designs and their applications for sensing and decontamination.

An Eleven-microRNA Signature Related to Tumor-Associated Macrophages Predicts Prognosis of Breast Cancer.

The dysregulation of microRNAs (miRNAs) has been known to play important roles in tumor development and progression. However, the understanding of the involvement of miRNAs in regulating tumor-associated macrophages (TAMs) and how these TAM-related miRNAs (TRMs) modulate cancer progression is still in its infancy. This study aims to explore the prognostic value of TRMs in breast cancer via the construction of a novel TRM signature. Potential TRMs were identified from the literature, and their prognostic value was evaluated using 1063 cases in The Cancer Genome Atlas Breast Cancer database. The TRM signature was further validated in the external Gene Expression Omnibus GSE22220 dataset. Gene sets enrichment analyses were performed to gain insight into the biological functions of this TRM signature. An eleven-TRM signature consisting of mir-21, mir-24-2, mir-125a, mir-221, mir-22, mir-501, mir-365b, mir-660, mir-146a, let-7b and mir-31 was constructed. This signature significantly differentiated the high-risk group from the low-risk in terms of overall survival (OS)/ distant-relapse free survival (DRFS) (p value < 0.001). The prognostic value of the signature was further enhanced by incorporating other independent prognostic factors in a nomogram-based prediction model, yielding the highest AUC of 0.79 (95% CI: 0.72−0.86) at 5-year OS. Enrichment analyses confirmed that the differentially expressed genes were mainly involved in immune-related pathways such as adaptive immune response, humoral immune response and Th1 and Th2 cell differentiation. This eleven-TRM signature has great potential as a prognostic factor for breast cancer patients besides unravelling the dysregulated immune pathways in high-risk breast cancer.

Development of an optimization pipeline of asymmetric PCR towards the generation of DNA aptamers: a guide for beginners.

Asymmetric PCR is one of the most utilized strategies in ssDNA generation towards DNA aptamer generation due to its low cost, robustness and the low amount of starting template. Despite its advantages, careful optimization of the asymmetric PCR is still warranted to optimize the yield of ssDNA. In this present study, we have developed an extensive optimization pipeline that involves the optimization of symmetric PCR initially followed by the optimization of asymmetric PCR. In the asymmetric PCR, optimization of primer amounts/ratios, PCR cycles, annealing temperatures, template concentrations, Mg2+/dNTP concentrations and the amounts of Taq Polymerase was carried out. To further boost the generation of ssDNA, we have also integrated an additional single-stranded DNA generation method, either via lambda exonuclease or biotin-streptavidin-based separation into the optimization pipeline to further improve the yield of ssDNA generation. We have acquired 700 ± 11.3 and 820 ± 19.2 nM for A-PCR-lambda exonuclease and A-PCR-biotin-streptavidin-based separation, respectively. We urge to develop a separate optimization pipeline of asymmetric PCR for each different randomized ssDNA library before embarking on any SELEX studies.

The dynamicity of light-up aptamers in one-pot in vitro diagnostic assays.

Light-up aptamers are aptamers that ignite the fluorescence emission of certain dyes upon binding. Widely harnessed in in vivo imaging, the binding capacity of the light-up aptamers can also be deployed in in vitro diagnostic assays, engendering a mix-and-read format. Intrigued by this, I intend to provide an overview of the various formats of diagnostic assays developed using light-up aptamers from the direct modulation of the light-up aptamers, split aptamer-based configuration, strand displacement, in vitro transcription-based one-pot diagnostic assay, CRISPR-Cas system to the measurement of the ion reliance. The incorporation of the light-up aptamers into each configuration is expounded and further supported by describing the exemplary assays developed thus far. It is anticipated that the present study can be enlightening to any researchers who aspire to embark on the development of one-pot in vitro diagnostic assays based on light-up aptamers.

Aptamers isolated against mosquito-borne pathogens.

Mosquito-borne diseases are a major threat to public health. The shortcomings of diagnostic tools, especially those that are antibody-based, have been blamed in part for the rising annual morbidity and mortality caused by these diseases. Antibodies harbor a number of disadvantages that can be clearly addressed by aptamers as the more promising molecular recognition elements. Aptamers are defined as single-stranded DNA or RNA oligonucleotides generated by SELEX that exhibit high binding affinity and specificity against a wide variety of target molecules based on their unique structural conformations. A number of aptamers were developed against mosquito-borne pathogens such as Dengue virus, Zika virus, Chikungunya virus, Plasmodium parasite, Francisella tularensis, Japanese encephalitis virus, Venezuelan equine encephalitis virus, Rift Valley fever virus and Yellow fever virus. Intrigued by these achievements, we carry out a comprehensive overview of the aptamers developed against these mosquito-borne infectious agents. Characteristics of the aptamers and their roles in diagnostic, therapeutic as well as other applications are emphasized.

Bacterial regulatory RNAs: complexity, function, and putative drug targeting.

Over the past decade, RNA-deep sequencing has uncovered copious non-protein coding RNAs (npcRNAs) in bacteria. Many of them are key players in the regulation of gene expression, taking part in various regulatory circuits, such as metabolic responses to different environmental stresses, virulence, antibiotic resistance, and host-pathogen interactions. This has contributed to the high adaptability of bacteria to changing or even hostile environments. Their mechanisms include the regulation of transcriptional termination, modulation of translation, and alteration of messenger RNA (mRNA) stability, as well as protein sequestration. Here, the mechanisms of gene expression by regulatory bacterial npcRNAs are comprehensively reviewed and supplemented with well-characterized examples. This class of molecules and their mechanisms of action might be useful targets for the development of novel antibiotics.

Mathematical approaches in estimating aptamer-target binding affinity.

The performance of aptamers as versatile tools in numerous analytical applications is critically dependent on their high target binding specificity and selectivity. However, only the technical or methodological aspects of measuring aptamer-target binding affinities are focused, ignoring the equally important mathematical components that play pivotal roles in affinity measurements. In this study, we aim to provide a comprehensive review regarding the utilization of different mathematical models and equations, along with a detailed description of the computational steps involved in mathematically deriving the binding affinity of aptamers against their specific target molecules. Mathematical models ranging from one-site binding to multiple aptameric binding site-based models are explained in detail. Models applied in several different approaches of affinity measurements such as thermodynamics and kinetic analysis, including cooperativity and competitive-assay based mathematical models have been elaborately discussed. Mathematical models incorporating factors that could potentially affect affinity measurements are also further scrutinized.

In silico 'fishing' using known small regulatory RNA (sRNA) candidates as the decoy from Escherichia coli, Salmonella typhi and Salmonella typhimurium manifested 14 novel sRNA candidates in the orthologous region of Proteus mirabilis.

Proteus mirabilis, a gram-negative bacterium of the family Enterobacteriaceae, is a leading cause of urinary tract infection (UTI) with rapid development of multi-drug resistance. Identification of small regulatory RNAs (sRNAs), which belongs to a class of RNAs that do not translate into a protein, could permit the comprehension of the regulatory roles this molecules play in mediating pathogenesis and multi-drug resistance of the organism. In this study, comparative sRNA analysis across three different members of Enterobacteriaceae (Escherichia coli, Salmonella typhi and Salmonella typhimurium) was carried out to identify the sRNA homologs in P. mirabilis. A total of 232 sRNA genes that were reported in E. coli, S. typhi and S. typhimurium were subjected to comparative analysis against P. mirabilis HI4320 genome. We report the detection of 14 sRNA candidates, conserved in the orthologous regions of P. mirabilis, that are not included in Rfam database. Northern-blot analysis was carried out for selected three sRNA candidates from the current investigation and three known sRNA from Rfam of P. mirabilis. The expression pattern of the six sRNA candidates shows that they are growth stage-dependant. To the best of our knowledge, this is the first report on the identification of sRNA candidates in P. mirabilis.

Aptahistochemistry in diagnostic pathology: technical scrutiny and feasibility.

Antibodies have been the workhorse for diagnostic immunohistochemistry to specifically interrogate the expression of certain protein to aid in histopathological diagnosis. This review introduces another dimension of histochemistry that employs aptamers as the core tool, the so-called aptahistochemistry. Aptamers are an emerging class of molecular recognition elements that could recapitulate the roles of antibodies. The many advantageous properties of aptamers suited for this diagnostic platform are scrutinized. An in-depth discussion on the technical aspects of aptahistochemistry is provided with close step-by-step comparison to the more familiarized immunohistochemical procedures, namely functionalization of the aptamer as a probe, antigen retrieval, optimization with emphasis on incubation parameters and visualization methods. This review offers rationales to overcome the anticipated challenges in transition from immunohistochemistry to aptahistochemistry, which is deemed feasible for an average diagnostic pathology laboratory.

Current and Potential Developments of Cortisol Aptasensing towards Point-of-Care Diagnostics (POTC).

Anxiety is a psychological problem that often emerges during the normal course of human life. The detection of anxiety often involves a physical exam and a self-reporting questionnaire. However, these approaches have limitations, as the data might lack reliability and consistency upon application to the same population over time. Furthermore, there might be varying understanding and interpretations of the particular question by the participant, which necessitating the approach of using biomarker-based measurement for stress diagnosis. The most prominent biomarker related to stress, hormone cortisol, plays a key role in the fight-or-flight situation, alters the immune response, and suppresses the digestive and the reproductive systems. We have taken the endeavour to review the available aptamer-based biosensor (aptasensor) for cortisol detection. The potential point-of-care diagnostic strategies that could be harnessed for the aptasensing of cortisol were also envisaged.

Selection of DNA aptamers against Chikungunya virus Envelope 2 Protein and their application in sandwich ELASA.

Chikungunya fever, caused by Chikungunya virus (CHIKV) exhibits clinical features that mimic that of other arbovirus infections such as dengue. CHIKV Envelope 2 (E2) protein, an antigenic epitope of CHIKV, has been identified as an ideal marker for diagnostics. The current CHIKV antigen detection tests are largely based on antibodies but are beleaguered by issues such as sensitivity to high temperature, expensive and prone to batch-to-batch variations. Aptamers are suitable alternatives to antibodies as they are cheaper and have no batch-to-batch variations compared to antibodies. In this study, DNA aptamer selection against CHIKV E2 proteins was performed using two different randomized ssDNA libraries. Chik-2 (96-mer) and Chik-3 (76-mer) were isolated from these two libraries and were identified as the potential aptamers against CHIKV E2 protein. The binding affinity of Chik-2 and Chik-3 against CHIKV E2 protein was estimated at 177.5 ± 32.69 nM and 30.01 ± 3.60 nM, respectively. A sandwich ELASA was developed, and this assay showed a detection limit of 2.17 x 103 PFU/mL. The sensitivity and specificity of the assay were 80 % and 100 %, respectively. The assay showed no cross-reactivity with dengue-positive samples, demonstrating the enormous diagnostic potential of these aptamers for the detection of CHIKV.

Label-free methods of reporting biomolecular interactions by optical biosensors.

Reporting biomolecular interactions has become part and parcel of many applications of science towards an in-depth understanding of disease and gene regulation. Apart from that, in diagnostic applications where biomolecules (antibodies and aptamers) are vastly applied, meticulous monitoring of biomolecular interaction is vital for clear-cut diagnosis. Several currently available methods of analyzing the interaction of the ligands with the appropriate analytes are aided by labeling using fluorescence or luminescence techniques. However, labeling is cumbersome and can occupy important binding sites of interactive molecules to be labeled, which may interfere with the conformational changes of the molecules and increase non-specificity. Optical-based sensing can provide an alternative way as a label-free procedure for monitoring biomolecular interactions. Optical sensors affiliated with different operating principles, including surface plasmon changes, scattering and interferometry, can impart a huge impact for in-house and point-of-care applications. This optical-based biosensing permits real-time monitoring, obviating the use of hazardous labeling molecules such as radioactive tags. Herein, label-free ways of reporting biomolecular interactions by various optical biosensors were gleaned.

Isolation of a novel DNA aptamer against LipL32 as a potential diagnostic agent for the detection of pathogenic Leptospira.

Leptospirosis is a potentially life-threatening zoonosis caused by pathogenic Leptospira and for rapid diagnostics, direct detection is desirable. LipL32 protein is the most suitable biomarker for direct detection. DNA aptamers are sought to be generated against LipL32 by Systemic Evolution of Ligands via Exponential Enrichment (SELEX). LepDapt-5a is the most potent aptamer candidate among all the candidates, as determined by direct Enzyme-linked Aptasorbent Assay (ELASA). LepDapt-5a was predicted to form a G-quadruplex structure as predicted by QGRS Mapper and validated experimentally by direct ELASA. The diagnostic potential of the aptamer was further tested on a direct and sandwich ELASA platform. A LOD of 106 mL-1 and 105 mL-1 were estimated by direct and sandwich ELASA platforms, respectively, which are within the range associated with leptospiremia levels. The dot blot assay developed was able to attain a LOD of 104 CFU mL-1 against pathogenic Leptospira, which is also within the leptospiremia level. This is the first-ever DNA aptamer and hybrid-heterodimeric aptamer constructed against LipL32. The diagnostic potentiality of the LepDapt-5a DNA aptamer was proven on three major diagnostic platforms, which are direct ELASA, sandwich ELASA, and aptamer-based dot assay.