MosaicNeedles: A tool for multi-omic liquid biopsy sensitivity and specificity enhancement.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15019-e15019
Author(s):  
Qimin Quan ◽  
Joe Wilkinson ◽  
Joshua Ritchey ◽  
Alaina Kaiser ◽  
John Geanacopoulos ◽  
...  

e15019 Background: Liquid biopsy has evolved to be an important method complementary to tissue biopsy. It is not only non-invasive, but also has the potential to detect cancer in its earliest stages and monitor patients in remission. The integration of proteomics into liquid biopsy may transform the molecular diagnostics of cancer and accelerate basic and clinical oncology research. A recent study showed that adding just 8 protein biomarkers to a panel of circulating DNA biomarkers increased the diagnostic accuracy up to 98% sensitivity and 99% specificity. Proteomics also bridges the gaps of functional information lost due to post-transcriptional and post-translational modifications in the genomic approach. However, the proteogenomic approach normally requires the use of multiple different assay technologies and laboratory workflows, including mass spectrometry. Methods: NanoMosaic’s Tessie platform employs a densely integrated nanoneedle sensor array (thus named MosaicNeedles) which can be used to detect both nucleic acids and proteins in a single assay process with reduced workflow complexity, without the need for mass spectrometry. Results: The NanoMosaic platform is a label-free, digital, single molecule counting technology using nanoneedles. It achieves sub-pg/ml (̃fM) level sensitivity with 7 logs of dynamic range. An array of nanoneedles is densely integrated and manufactured with CMOS-compatible nanofabrication processes. Each nanoneedle is a single molecule biosensor that is functionalized with capture probes. The capture probe can be either an antibody for protein detection or an oligonucleotide with a specific target sequence to a DNA fragment, mRNA, or miRNA of interest. The scattering spectrum of each nanoneedle changes when an analyte binds to its surface. At low abundance, analytes that are captured can be quantitated by counting the presence or absence of a color change on each individual nanoneedle in a binary fashion. As an analyte concentration increases the binding events increase accordingly and achieve saturation. In this range, an analog analysis on the spectrum shift will be performed, thus providing a wider dynamic range, up to 7 logs. Ultrahigh level multiplex can be achieved by parallelizing each analyte specific sensing area without loss of sensitivity or dynamic range. A 10,000-plex study can be achieved with a total of 2.5 billion nanoneedles on a 50mm by 50mm consumable. In this consumable, a 2,000-plex proteome and 8,000 cell-free DNA fragments can be detected. Conclusions: In conclusion, a full proteogenomic quantification can be performed on the NanoMosaic platform in one reaction, with higher sensitivity, lower cost and higher throughput than is currently possible by traditional methods. In addition, the high-plexibility of the NanoMosaic platform allows the discovery of new biomarkers across the whole proteome without the need for mass spectrometry.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15205-e15205
Author(s):  
Qimin Quan ◽  
John Geanacopoulos ◽  
Joshua Ritchey ◽  
Mark Clenow ◽  
Joe Wilkinson ◽  
...  

e15205 Background: Existing drug development programs are represented by only a few hundred protein targets. A large subset of the ~20,000 proteins encoded by the human genome remain undiscovered. Proteome-wide “druggability” screening may lead to new targets for therapeutics. Methods: The NanoMosaic platform is a digital immunoassay technology that achieves sub-pg/ml level sensitivity, whole-proteome level multiplexing capability, and 7 logs of dynamic range. The platform overcomes the sensitivity and dynamic range limitations of traditional protein arrays and mass spectrometry. Results: The NanoMosaic technology is powered by silicon nanoneedle biosensors that are densely integrated on a plate and manufactured with CMOS-compatible nanofabrication processes. Each nanoneedle is a label-free biosensor, functionalized with capture antibodies. Its scattering spectrum changes when an antigen binds to its surface. Each analyte specific sensing area consists a total of ~23k nanoneedles divided into a digital region (~20k nanoneedles) and an analog region (~3k nanoneedles). The digital nanoneedles provide the single molecule sensitivity. Therefore, at ultra-low concentration when antigens that are captured by the nanoneedles follow Poisson statistics, the number of antigens can be quantitated by counting the presence or absence of color changes of individual nanoneedles in a binary fashion. As the protein concentrations increase, the binding event counts increase accordingly and achieve saturation when all nanoneedles capture more than one protein. Above the digital saturation concentration, an adjacent section of analog nanoneedles perform quantitative analysis based on the level of color change, thus providing a wider dynamic range up to 1ug/ml. Ultrahigh level multiplex can be achieved by parallelizing the detection in a microarray format without loss of the sensitivity and dynamic range. A 20,000-plex proteome-wide study can be achieved with a total of 5 billion nanoneedles on a ~70mm by 70mm chip. Conclusions: In conclusion, proteome-wide biomarker quantification and target discovery can be performed on the NanoMosaic platform at higher sensitivity, wider dynamic range, lower cost and higher throughput than is currently possible by mass spectrometry or traditional immunoassays.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15199-e15199 ◽  
Author(s):  
Qimin Quan ◽  
John Geanacopoulos ◽  
Joshua Ritchey ◽  
Mark Clenow ◽  
Joe Wilkinson ◽  
...  

e15199 Background: Inflammation observed in response to some monoclonal antibody drugs and adaptive T-Cell therapies has become a major issue in cancer immunotherapy. Prognostic monitoring of the inflammatory response requires simultaneous measurement of multiple cytokines at widely divergent concentrations. At present, no analytical method, known to us, can provide large dynamic range (> 6 logs), high sensitivity (< 1pg/ml) and high multiplex in a single test. Methods: The NanoMosaic platform is a cytokine quantification technology powered by silicon nanoneedle biosensors that are densely integrated on a plate and manufactured with CMOS-compatible nanofabrication processes. Each nanoneedle is a label-free biosensor, functionalized with capture antibodies. Each analyte specific sensing area consists a total of ~23k nanoneedles divided into a digital region (~20k nanoneedles) and an analog region (~3k nanoneedles), combined to cover the entire range of inflammatory biomarkers from 0.1pg/ml to 1ug/ml. Results: We demonstrated that the digital nanoneedles achieve the single molecule sensitivity. Therefore, at ultra-low concentrations when antigens that are captured by the nanoneedles follow Poisson statistics, the number of antigens can be quantitated by counting the presence or absence of color changes of individual nanoneedles in a binary fashion. As the protein concentrations increase, the binding events increase accordingly and achieve saturation when all nanoneedles capture more than one protein. Above the digital saturation concentration, an adjacent section of analog nanoneedles perform quantitative analysis based on the level of color change, thus providing a wider dynamic range up to 1ug/ml. Each single analyte area, including both digital and analog sensors, is less than 500um. Therefore, high level multiplex can be achieved by duplicating the detection sensor in a microarray format without loss of sensitivity and dynamic range. Conclusions: The CMOS-compatible NanoMosaic technology provides the cost-effectiveness, sensitivity, dynamic range and multiplexing capacity required to fully integrate patient immune response into therapeutic development and decision making.


2007 ◽  
Vol 12 (5) ◽  
pp. 311-317 ◽  
Author(s):  
Vindhya Kunduru ◽  
Shalini Prasad

We demonstrate a technique to detect protein biomarkers contained in vulnerable coronary plaque using a platform-based microelectrode array (MEA). The detection scheme is based on the property of high specificity binding between antibody and antigen similar to most immunoassay techniques. Rapid clinical diagnosis can be achieved by detecting the amount of protein in blood by analyzing the protein's electrical signature. Polystyrene beads which act as transportation agents for the immobile proteins (antigen) are electrically aligned by application of homogenous electric fields. The principle of electrophoresis is used to produce calculated electrokinetic movement among the anti-C-reactive protein (CRP), or in other words antibody funtionalized polystyrene beads. The electrophoretic movement of antibody-functionalized polystyrene beads results in the formation of “Microbridges” between the two electrodes of interest which aid in the amplification of the antigen—antibody binding event. Sensitive electrical equipment is used for capturing the amplified signal from the “Microbridge” which essentially behaves as a conducting path between the two electrodes. The technique circumvents the disadvantages of conventional protein detection methods by being rapid, noninvasive, label-free, repeatable, and inexpensive. The same principle of detection can be applied for any receptor—ligand-based system because the technique is based only on the volume of the analyte of interest. Detection of the inflammatory coronary disease biomarker CRP is achieved at concentration levels spanning over the lower microgram/milliliter to higher order nanogram/milliliter ranges.


2015 ◽  
Vol 112 (32) ◽  
pp. E4354-E4363 ◽  
Author(s):  
Fatih Inci ◽  
Chiara Filippini ◽  
Murat Baday ◽  
Mehmet Ozgun Ozen ◽  
Semih Calamak ◽  
...  

Recent advances in biosensing technologies present great potential for medical diagnostics, thus improving clinical decisions. However, creating a label-free general sensing platform capable of detecting multiple biotargets in various clinical specimens over a wide dynamic range, without lengthy sample-processing steps, remains a considerable challenge. In practice, these barriers prevent broad applications in clinics and at patients’ homes. Here, we demonstrate the nanoplasmonic electrical field-enhanced resonating device (NE2RD), which addresses all these impediments on a single platform. The NE2RD employs an immunodetection assay to capture biotargets, and precisely measures spectral color changes by their wavelength and extinction intensity shifts in nanoparticles without prior sample labeling or preprocessing. We present through multiple examples, a label-free, quantitative, portable, multitarget platform by rapidly detecting various protein biomarkers, drugs, protein allergens, bacteria, eukaryotic cells, and distinct viruses. The linear dynamic range of NE2RD is five orders of magnitude broader than ELISA, with a sensitivity down to 400 fg/mL This range and sensitivity are achieved by self-assembling gold nanoparticles to generate hot spots on a 3D-oriented substrate for ultrasensitive measurements. We demonstrate that this precise platform handles multiple clinical samples such as whole blood, serum, and saliva without sample preprocessing under diverse conditions of temperature, pH, and ionic strength. The NE2RD’s broad dynamic range, detection limit, and portability integrated with a disposable fluidic chip have broad applications, potentially enabling the transition toward precision medicine at the point-of-care or primary care settings and at patients’ homes.


Nano Research ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 328-333 ◽  
Author(s):  
Andrea Spitaleri ◽  
Denis Garoli ◽  
Moritz Schütte ◽  
Hans Lehrach ◽  
Walter Rocchia ◽  
...  

AbstractSingle molecule protein sequencing would tremendously impact in proteomics and human biology and it would promote the development of novel diagnostic and therapeutic approaches. However, its technological realization can only be envisioned, and huge challenges need to be overcome. Major difficulties are inherent to the structure of proteins, which are composed by several different amino-acids. Despite long standing efforts, only few complex techniques, such as Edman degradation, liquid chromatography and mass spectroscopy, make protein sequencing possible. Unfortunately, these techniques present significant limitations in terms of amount of sample required and dynamic range of measurement. It is known that proteins can distinguish closely similar molecules. Moreover, several proteins can work as biological nanopores in order to perform single molecule detection and sequencing. Unfortunately, while DNA sequencing by means of nanopores is demonstrated, very few examples of nanopores able to perform reliable protein-sequencing have been reported so far. Here, we investigate, by means of molecular dynamics simulations, how a re-engineered protein, acting as biological nanopore, can be used to recognize the sequence of a translocating peptide by sensing the “shape” of individual amino-acids. In our simulations we demonstrate that it is possible to discriminate with high fidelity, 9 different amino-acids in a short peptide translocating through the engineered construct. The method, here shown for fluorescence-based sequencing, does not require any labelling of the peptidic analyte. These results can pave the way for a new and highly sensitive method of sequencing.


2012 ◽  
Vol 1414 ◽  
Author(s):  
Rahim Esfandyarpour ◽  
Hesaam Esfandyarpour ◽  
Mehdi Javanmard ◽  
James S. Harris ◽  
Ronald W. Davis

Abstract:Here we present the development of an array of electrical nano-biosensors in a microfluidic channel, called Nanoneedle biosensors. Then we present the proof of concept study for protein detection. A Nanoneedle biosensor is a real-time, label-free, direct electrical detection platform, which is capable of high sensitivity detection, measuring the change in ionic current and impedance modulation, due to the presence or reaction of biomolecules such as proteins or nucleic acids. We show that the sensors which have been fabricated and characterized for the protein detection. We have functionalized Nanoneedle biosensors with receptors specific to a target protein using physical adsorption for immobilization. We have used biotinylated bovine serum albumin as the receptor and sterptavidin as the target analyte. The detection of streptavidin binding to the receptor protein is also presented.


Biosensors ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 144 ◽  
Author(s):  
Jesslyn Janssen ◽  
Mike Lambeta ◽  
Paul White ◽  
Ahmad Byagowi

There is a growing need for biosensors that are capable of efficiently and rapidly quantifying protein biomarkers, both in the biological research and clinical setting. While accurate methods for protein quantification exist, the current assays involve sophisticated techniques, take long to administer and often require highly trained personnel for execution and analysis. Herein, we explore the development of a label-free biosensor for the detection and quantification of a standard protein. The developed biosensors comprise carbon nanotubes (CNTs), a specific antibody and cellulose filtration paper. The change in electrical resistance of the CNT-based biosensor system was used to sense a standard protein, bovine serum albumin (BSA) as a proof-of-concept. The developed biosensors were found to have a limit of detection of 2.89 ng/mL, which is comparable to the performance of the typical ELISA method for BSA quantification. Additionally, the newly developed method takes no longer than 10 min to perform, greatly reducing the time of analysis compared to the traditional ELISA technique. Overall, we present a versatile, affordable, simplified and rapid biosensor device capable of providing great benefit to both biological research and clinical diagnostics.


2015 ◽  
Vol 9 (5-6) ◽  
pp. 597-609 ◽  
Author(s):  
Henry A. Adeola ◽  
Nelson C. Soares ◽  
Juliano D. Paccez ◽  
Lisa Kaestner ◽  
Jonathan M. Blackburn ◽  
...  

2021 ◽  
pp. 036354652199556
Author(s):  
Charlotte H. Hulme ◽  
Mandy J. Peffers ◽  
Gabriel Mateus Bernardo Harrington ◽  
Emma Wilson ◽  
Jade Perry ◽  
...  

Background: Biomarkers are needed to predict clinical outcomes for microfracture and osteotomy surgeries to ensure patients can be better stratified to receive the most appropriate treatment. Purpose: To identify novel biomarker candidates and to investigate the potential of a panel of protein biomarkers for the prediction of clinical outcome after treatment with microfracture or osteotomy. Study Design: Descriptive laboratory study. Methods: To identify novel candidate biomarker proteins, we used label-free quantitation after liquid chromatography–tandem mass spectrometry of dynamic range-compressed synovial fluids (SFs) from individuals who responded excellently or poorly (based on change in Lysholm score) to microfracture (n = 6) or osteotomy (n = 7). Biomarkers that were identified in this proteomic analysis or that relate to osteoarthritis (OA) severity or have predictive value in another early OA therapy (autologous cell implantation) were measured in the SF of 19 and 13 patients before microfracture or osteotomy, respectively, using commercial immunoassays, and were normalized to urea. These were aggrecanase-1 (ADAMTS-4), cartilage oligomeric matrix protein (COMP), hyaluronan (HA), lymphatic vessel endothelial hyaluronan receptor 1 (LYVE-1), matrix metalloproteinase 1 and 3, soluble CD14, S100 calcium binding protein A13, and 14-3-3 protein theta (YWHAQ). Levels of COMP and HA were also measured in the plasma of these patients. To find predictors of postoperative function, multivariable regression analyses were performed. Results: Proteomic analyses highlighted YWHAQ and LYVE-1 as being differentially abundant between the clinical responders/improvers and nonresponders after microfracture. A linear regression model after backward variable selection could relate preoperative concentrations of SF proteins (HA, YWHAQ, LYVE-1), activity of ADAMTS-4, and patient demographic characteristics (smoker status and sex) with Lysholm score 12 months after microfracture. Further, a generalized linear model with elastic net penalization indicated that lower preoperative activity of ADAMTS-4 in SF, being a nonsmoker, and being younger at the time of operation were indicative of a higher postoperative Lysholm score (improved joint function) after osteotomy surgery. Conclusion: We have identified biomarkers and generated regression models with the potential to predict clinical outcome in patients treated with microfracture or osteotomy of the knee. Clinical Relevance: Candidate protein biomarkers identified in this study have the potential to help determine which patients will be best suited to treatment with microfracture or osteotomy.


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