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Here, we report a biomarker-free detection of various biological targets through a programmed machine learning algorithm and an automated computational selection process termed algorithmically guided optical nanosensor selector (AGONS). The optical data processed/used by algorithms are obtained through a nanosensor array selected from a library of nanosensors through AGONS. The nanosensors are assembled using two-dimensional nanoparticles (2D-nps) and fluorescently labeled single-stranded DNAs (F-ssDNAs) with random sequences. Both 2D-np and F-ssDNA components are cost-efficient and easy to synthesize, allowing for scaled-up data collection essential for machine learning modeling. The nanosensor library was subjected to various target groups, including proteins, breast cancer cells, and lethal-7 (let-7) miRNA mimics. We have demonstrated that AGONS could select the most essential nanosensors while achieving 100% predictive accuracy in all cases. With this approach, we demonstrate that machine learning can guide the design of nanosensor arrays with greater predictive accuracy while minimizing manpower, material cost, computational resources, instrumentation usage, and time. The biomarker-free detection attribute makes this approach readily available for biological targets without any detectable biomarker. We believe that AGONS can guide optical nanosensor array setups, opening broader opportunities through a biomarker-free detection approach for most challenging biological targets.

We have performed a systematic study to analyze the effect of ssDNA length, nucleobase composition, and the type of two-dimensional nanoparticles (2D-nps) on the desorption response of 36 two-dimensional nanoassemblies (2D-NAs) against several proteins. The studies were performed using fluorescently labeled polyA, polyC, and polyT with 23, 18, 12, and 7 nucleotide-long sequences. The results suggest that the ssDNAs with polyC and longer sequences are more resistant to desorption, compared to their counterparts. In addition, 2D-NAs assembled using WS 2 were least susceptible to desorption by the proteins tested, whereas nGO 2D-NAs were the most susceptible nanoassemblies. Later, the results of these systematic studies were used to construct a sensor array for discrimination of seven model proteins (BSA, lipase, alkaline phosphatase, acid phosphatase, protease, β-galactosidase, and Cytochrome c). Neither the ssDNAs nor the 2D-nps have any specific interaction with the proteins tested. Only the displacement of the ssDNAs from the 2D-np surface was measured upon the disruption of the existing forces within 2D-NAs. A customized sensor array with five 2D-NAs was developed as a result of a careful screening/filtering process. The sensor array was tested against 200 nM of protein targets, and each protein was discriminated successfully. The results suggest that the systematic studies performed using various ssDNAs and 2D-nps enabled the construction of a sensor array without a bind-and-release sensing mechanism. The studies also demonstrate the significance of systematic investigations in the construction of two-dimensional DNA nanoassemblies for functional studies.

A novel combinatorial nanosensor array for miRNA analyses was assembled using the intrinsic noncovalent interactions of unmodified two-dimensional nanoparticles. Discrimination of nine miRNA analogues with as little as a single nucleotide difference was demonstrated under 2 h. All nine targets were identified simultaneously with 95% confidence. The developed nanotechnology offered identification and quantification of unknown targets with unknown concentration. Discrimination of target mixtures from low-to-high ratios was demonstrated. The DNA and RNA analogues of targets were identified using the combinatorial sensory approach. Identification of a target in a complex biological matrix prepared with human urine was demonstrated. The nanosensor array was put together using 15 nanoassemblies (2D-NAs) constructed using three two-dimensional nanoparticles (2D-nps: WS 2 , MoS 2 , and nanographene oxide (nGO)) and five rationally designed fluorescently labeled 15-nt-long ssDNAs (probes). In this approach, each target has only a small yet varying degree of complementarity with each of the five probes adsorbed on the 2D-np surface. The probes in each 2D-NA are desorbed from the surface by each target with a different degree that was recorded with fluorescence recovery measurements. The fluorescence data set was processed by partial least squares discriminant analysis (PLSDA), and each target was discriminated successfully. This new approach has a number of advantages over the classical bind-and-release model, typically used for 2D-np based biosensors, and opens greater detection opportunities with 2D-nps.

A typical lock-and-key sensing strategy, relying only on the most dominant interactions between the probe and target, could be too limiting. In reality, the information received upon sensing is much richer. Non-specific events due to various intermolecular forces contribute to the overall received information with different degrees, and when analyzed, could provide a much more powerful detection opportunity. Here, we have assembled a highly selective universal sensor array using water-soluble two-dimensional nanoparticles (nGO, MoS 2 and WS 2 ) and fluorescent DNA molecules. The array is composed of 12 fluorescently silent non-specific nanoreceptors (2D-nps) and used for the identification of three radically different systems; five proteins, three types of live breast cancer cells and a structure-switching event of a macromolecule. The data matrices for each system were processed using Partial Least Squares (PLS) discriminant analysis. In all of the systems, the sensor array was able to identify each object or event as separate clusters with 95% confidence and without any overlap. Out of 15 unknown entities with unknown protein concentrations tested, 14 of them were predicted successfully with correct concentration. 8 breast cancer cell samples out of 9 unknown entities from three cell types were predicted correctly. During the assembly of each nanoprobe, the intrinsic non-covalent interactions between unmodified 2D nanoparticles and ssDNAs were exploited. The unmodified 2D materials offer remarkable simplicity in the layout and the use of ssDNAs as probes provides limitless possibilities because the natural interaction of a ssDNA and 2D surface can be fine-tuned with the nucleobase composition, oligonucleotide length and type of 2D nanomaterial. Therefore, the approach described here can be advanced and fine-tuned indefinitely for meeting a particular sensing criterion. Though we have only studied three distinct elements, this approach is universal enough to be applied to a wide-range of systems.

In this study we have used Unlocked Nucleic Acids (UNAs) to discriminate a breast cancer oncomiR from two other miRNAs in the same RNA family using two-dimensional graphene oxide nanoassemblies. Fluorescently labeled single stranded probe strands and graphene oxide nanoassemblies have been used to detect miR-10b and discriminate it from miR-10a, which differs by only a single nucleotide (12th base from the 5' end), and miR-10c, which differs by only two nucleotides (12th and 16th bases from the 5' end). We have determined the discrimination efficacy and detection capacity of a DNA probe with two inserted UNA monomers (UNA 2 ), and compared it to the DNA probe with two purposefully inserted mutations (DNA M2 ) and full complementary sequence (DNA full ). We have observed that UNA 2 is 50 times more powerful than DNA full in discriminating miR-10b from miR-10c while generating an equally high fluorescence signal. This fluorescence signal was then further enhanced with the use of the highly specific endonuclease dsDNase for an enzymatic amplification step. The results demonstrate that the underutilized UNAs have enormous potential for miRNA detection and offer remarkable discrimination efficacy over single and double mismatches., (Copyright © 2016 Elsevier B.V. All rights reserved.)

The EPA's recommended maximum allowable level of inorganic mercury in drinking water is 2 ppb (10 nM). To our knowledge, the most sensitive colorimetric mercury sensor reported to date has a limit of detection (LOD) of 800 pM. Here, we report an instrument-free and highly practical colorimetric methodology, which enables detection of as low as 2 ppt (10 pM) of mercury and/or silver ions with the naked eye using a gold nanoprobe. Synthesis of the nanoprobe costs less than $1.42, which is enough to perform 200 tests in a microplate; less than a penny for each test. We have demonstrated the detection of inorganic mercury from water, soil and urine samples. The assay takes about four hours and the color change is observed within minutes after the addition of the last required element of the assay. The nanoprobe is highly programmable which allows for the detection of mercury and/or silver ions separately or simultaneously by changing only a single parameter of the assay. This highly sensitive approach for the visual detection relies on the combination of the signal amplification features of the hybridization chain reaction with the plasmonic properties of the gold nanoparticles. Considering that heavy metal ion contamination of natural resources is a major challenge and routine environmental monitoring is needed, yet time-consuming, this colorimetric approach may be instrumental for on-site heavy metal ion detection. Since the color transition can be measured in a variety of formats including using the naked eye, a simple UV-Vis spectrophotometer, or recording using mobile phone apps for future directions, our cost-efficient assay and method have the potential to be translated into the field.

The massive outbreaks of the highly transmissible and lethal Ebola virus disease were caused by infection with one of the Ebolavirus species. It is vital to develop cost-effective, highly sensitive and selective multitarget biosensing platforms that allow for both the detection and phenotyping. Here, a highly programmable, cost-efficient and multianalyte sensing approach is reported that enables visual detection and differentiation of conserved oligonucleotide regions of all Ebolavirus subtypes known to infect human primates. This approach enables the detection of as little as 400 amols (24 × 10 6 molecules) of target sequences with the naked eye. Furthermore, the detection assay can be used to classify four virus biomarkers using a single nanoprobe template. This can be achieved by using different combinations of short single stranded initiator molecules, referred to as programming units, which also enable the simultaneous and rapid identification of the four biomarkers in 16 different combinations. The results of 16 × 5 array studies illustrate that the system is extremely selective with no false-positive or false-negative. Finally, the target strands in liquid biopsy mimics prepared from urine specimens are also able to be identified and classified., (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

In this study, we have coupled the DNA polymerization capability of hybridization chain reaction (HCR) with the plasmonic properties of gold nanoparticles to develop a reprogrammable and multiplexed detection of three circulating oncomiRs (miR-10b, miR-21 and miR-141) dysregulated in various disease states of breast cancer. We have demonstrated that by simply changing the initiator (label-free short single stranded DNA) content of the HCR, while keeping everything else unchanged, the same nanoparticle assembly can be reprogrammed for the detection of the target oncomiRs individually or simultaneously in all possible combinations. We have shown that as little as 20 femtomoles of each oncomiR can be detected visually without using any analytical instrument. Furthermore, we demonstrated that the target oncomiR can be detected in an RNA pool isolated from a liquid biopsy mimic of breast cancer.

In this study, we have investigated the intrinsic peroxidase-like activity of citrate-capped AuNPs (perAuxidase) and demonstrated that the nanozyme function can be multiplexed and tuned by integrating oligonucleotides on a nanoparticle surface. Systematic studies revealed that by controlling the reaction parameters, the mutiplexing effect can be delayed or advanced and further used for aptasensor applications.

In this study we have reported our efforts to address some of the challenges in the detection of miRNAs using water-soluble graphene oxide and DNA nanoassemblies. Purposefully inserting mismatches at specific positions in our DNA (probe) strands shows increasing specificity against our target miRNA, miR-10b, over miR-10a which varies by only a single nucleotide. This increased specificity came at a loss of signal intensity within the system, but we demonstrated that this could be addressed with the use of DNase I, an endonuclease capable of cleaving the DNA strands of the RNA/DNA heteroduplex and recycling the RNA target to hybridize to another probe strand. As we previously demonstrated, this enzymatic signal also comes with an inherent activity of the enzyme on the surface-adsorbed probe strands. To remove this activity of DNase I and the steady nonspecific increase in the fluorescence signal without compromising the recovered signal, we attached a thermoresponsive PEGMA polymer (poly(ethylene glycol) methyl ether methacrylate) to nGO. This smart polymer is able to shield the probes adsorbed on the nGO surface from the DNase I activity and is capable of tuning the detection capacity of the nGO nanoassembly with a thermoswitch at 39 °C. By utilizing probes with multiple mismatches, DNase I cleavage of the DNA probe strands, and the attachment of PEGMA polymers to graphene oxide to block undesired DNase I activity, we were able to detect miR-10b from liquid biopsy mimics and breast cancer cell lines. Overall we have reported our efforts to improve the specificity, increase the sensitivity, and eliminate the undesired enzymatic activity of DNase I on surface-adsorbed probes for miR-10b detection using water-soluble graphene nanodevices. Even though we have demonstrated only the discrimination of miR-10b from miR-10a, our approach can be extended to other short RNA molecules which differ by a single nucleotide.

Here we have demonstrated that graphene serves as a remarkable platform for monitoring the multitask activity of an enzyme with fluorescence spectroscopy. Our studies showed that four different simultaneous enzymatic tasks of DNase I can be observed and measured in a high throughput fashion using graphene oxide and oligonucleotide nanoassemblies. We have used phosphorothioate modified oligonucleotides to pinpoint the individual and highly specific functions of DNase I with single stranded DNA, RNA, and DNA/DNA and DNA/RNA duplexes. DNase I resulted in fluorescence recovery in the nanoassemblies and enhanced the intensity tremendously in the presence of sequence specific DNA or RNA molecules with different degrees of amplification. Our study enabled us to discover the sources of this remarkable signal enhancement, which has been used for biomedical applications of graphene for sensitive detection of specific oncogenes. The significant difference in the signal amplification observed for the detection of DNA and RNA molecules is a result of the positive and/or reductive signal generating events with the enzyme. In the presence of DNA there are four possible ways that the fluorescence reading is influenced, with two of them resulting in a gain in signal while the other two result in a loss. Since the observed signal is a summation of all the events together, the absence of the two fluorescence reduction events with RNA gives a greater degree of fluorescence signal enhancement when compared to target DNA molecules. Overall, our study demonstrates that graphene has powerful features for determining the enzymatic functions of a protein and reveals some of the unknowns observed in the graphene and oligonucleotide assemblies with DNase I.

Circulating oncomiRs are highly stable diagnostic, prognostic, and therapeutic tumor biomarkers, which can reflect the status of the disease and response to cancer therapy. miR-141 is an oncomiR, which is overexpressed in advanced prostate cancer patients, whereas its expression is at the normal levels in the early stages of the disease. On the other hand, miR-21 is significantly elevated in the early stage, but not in the advanced prostate cancer. Here, we have demonstrated simultaneous detection of exogenous miR-21 and miR-141 from human body fluids including blood, urine and saliva using nanographene oxide. Our system enables us to specifically and reliably detect each oncomiR at different fluorescence emission channels from a large population of RNAs extracted from body fluids. We were also able to determine the content and the ratio of the miR-21 and miR-141 in 10 different miRNA cocktails composed of various, but unknown, concentrations of both oncomiRs. A strong agreement (around 90%) between the experimental results and the actual miRNA compositions was observed. Moreover, we have demonstrated that overexpressed miR-21 or miR-141 increases the fluorescence only at their signature wavelengths of 520 and 670 nm, respectively. The approach in this study combines two emerging fields of nanographene in biomedicine and the role of circulating miRNAs in cancer. Our strategy has the potential to address the current challenges in diagnosis, prognosis and staging of prostate cancer with a non- or minimally invasive approach.