High Background Signal Research Articles

NIMG-32. ORAL ADMINISTRATION OF DEUTERATED CHOLINE AS A NEW APPROACH TO PROVIDE HIGH TUMOR-TO-BRAIN IMAGE CONTRAST IN DEUTERIUM METABOLIC IMAGING (DMI)

Abstract BACKGROUND Metabolic imaging using FDG-PET is a key component of disease management in many cancers outside of the brain, but in brain tumors it often shows low tumor-to-brain contrast because of high background signal from normal brain. We explore generating cancer-specific metabolic image contrast using Deuterium Metabolic Imaging (DMI), which is a novel 2H magnetic resonance spectroscopic imaging-based technique. DMI was applied after oral administration of deuterated choline, an essential nutrient needed for membrane synthesis whose uptake is often increased in tumors. METHODS Total choline (tCho) DMI was performed in an orthotopic model of glioblastoma, F344 rats (n=11) implanted with RG2 cells, on an 11.7 tesla MRI scanner, with isotropic spatial resolution of 2.5 mm. tCho-DMI data were collected for 36 min during intravenous infusion (IV, n=6) or after 3 days of oral administration (PO, n=5) of [2H9]-choline chloride dissolved in sterile water. At a dose of 285 mg/kg body weight, bolus-continuous IV infusion via the tail vein required 1.57 ml for a 250-gram rat. PO administration via gavage on 3 consecutive days used the max daily dose recommended for human adults, 50 mg/kg. Results - In the PO group, average tumor tCho concentration was 0.78±0.14 mM and 0.20±0.05 mM in contralateral normal brain. In the IV group, the tCho concentration was 0.88±0.18 mM in the tumor, and 0.18±0.03 mM in normal brain (PO vs. IV: p=0.52). Tumor-to-brain contrast was 5.9±1.2 in PO-administered animals, and 7.1±3.3 for animals receiving IV 2H-choline, (p=0.54). CONCLUSIONS - In a preclinical GBM model oral administration of [2H9]-choline resulted in comparably high tumor-to-brain image contrast on tCho-DMI-based maps as during IV infusion. Work is ongoing to identify the different choline metabolites that contribute to the tCho signal. Because oral administration of choline is very safe, this approach could facilitate the translation of tCho-DMI to human subjects.

NIMG-30. DEUTERIUM METABOLIC IMAGING (DMI) SHOWS A STRONG RELATION BETWEEN TUMOR GRADE AND GLUCOSE METABOLISM IN PRIMARY BRAIN TUMORS

Abstract BACKGROUND Metabolic imaging using FDG-PET is a key component of disease management in many cancers outside of the brain, but in brain tumors, it often shows low tumor-to-brain contrast because of high background signal from normal brain. Deuterium metabolic imaging (DMI) is a new 2H magnetic resonance spectroscopic imaging-based technique that when combined with administration of 2H-labeled glucose can provide high tumor-to-brain image contrast because it can detect downstream metabolism instead of only glucose uptake. In this observational study, DMI of glucose metabolism was performed in 22 patients with primary brain tumors of different grades, and at different disease stages. METHODS DMI data were acquired using a 4 tesla MRI scanner after oral administration of 0.75g/kg of [6,6’-2H2]-glucose in water. Metabolic maps were generated of 2H-labeled glucose, glutamate+glutamine (Glx), lactate (Lac), and Lac/(Lac+Glx), a proxy for the metabolic shift observed in many cancers known as the Warburg effect. Volumes of interest (VOI) based on contrast-enhancing and non-enhancing tumor regions were created using clinical MRIs and combined with DMI maps to generate tumor-specific values for Lac/(Lac+Glx). Eta-squared was calculated using tumor grade and Lac/(Lac+Glx) as independent and dependent variables; data are reported as mean±SD. Results – Tumor-to-brain image contrast for Lac/(Lac+Glx) was 2.57±0.93 for grade 4 (n=14), 1.74±0.75 for grade 3 (n=6) and 0.94±0.28 for grade 2 lesions (n=3). Lac/(Lac+Glx) was 0.36±0.13 for grade 4; 0.19±0.049 for grade 3; 0.09±0.042 for grade 2 lesions; and 0.14±0.043 for normal brain. Eta-squared between tumor grade and Lac/(Lac+Glx) was 0.52. CONCLUSIONS VOI-based analysis showed a high dependence of metabolism-specific image contrast to tumor grade. The apparent relation between lesion grade and Lac/(Lac+Glx) indicates the potential of DMI to complement anatomical MRI and possibly provide a valuable biomarker indicating active tumor tissue and could improve evaluating disease progression.

Identifying, quantifying, and mitigating background with the time-resolved x-ray diffraction platform at the National Ignition Facility.

The time-resolved x-ray diffraction platform at the National Ignition Facility (NIF) fields electronic sensors closer to the exploding laser-driven target than any other NIF diagnostic in order to directly detect diffracted x rays from highly compressed materials. We document strategies to characterize and mitigate the unacceptably high background signals observed in this geometry. We specifically assess the possible effects of electromagnetic pulse, x-ray fluorescence, hot electrons, and sensor-specific non-x-ray artifacts. Significant background reduction is achieved by strategic shielding.

Optimized full-spectrum flow cytometry panel for deep immunophenotyping of murine lungs.

The lung immune system consists of both resident and circulating immune cells that communicate intricately. The immune system is activated by exposure to bacteria and viruses, when cancer initiates in the lung (primary lung cancer), or when metastases of other cancer types, including breast cancer, spread to and develop in the lung (secondary lung cancer). Thus, in these pathological situations, a comprehensive and quantitative assessment of changes in the lung immune system is of paramount importance for understanding mechanisms of infectious diseases, lung cancer, and metastasis but also for developing efficacious treatments. Unfortunately, lung tissue exhibits high autofluorescence, and this high background signal makes high-parameter flow cytometry analysis complicated. Here, we provide an optimized 30-parameter antibody panel for the analysis of all major immune cell types and states in normal and metastatic murine lungs using spectral flow cytometry.

No replicating evidence for anti-amyloid-β autoantibodies in cerebral amyloid angiopathy-related inflammation.

Elevated levels of anti-amyloid-β (anti-Aβ) autoantibodies in cerebrospinal fluid (CSF) have been proposed as a diagnostic biomarker for cerebral amyloid angiopathy-related inflammation (CAA-RI). We aimed to independently validate the immunoassay for quantifying these antibodies and evaluate its diagnostic value for CAA-RI. We replicated the immunoassay to detect CSF anti-Aβ autoantibodies using CSF from CAA-RI patients and non-CAA controls with unrelated disorders and further characterized its performance. Moreover, we conducted a literature review of CAA-RI case reports to investigate neuropathological and CSF evidence of the nature of the inflammatory reaction in CAA-RI. The assay demonstrated a high background signal in CSF, which increased and corresponded with higher total immunoglobulin G (IgG) concentration in CSF (rsp = 0.51, p = 0.02). Assay levels were not elevated in CAA-RI patients (n = 6) compared to non-CAA controls (n = 20; p = 0.64). Literature review indicated only occasional presence of B-lymphocytes and plasma cells (i.e., antibody-producing cells), alongside the abundant presence of activated microglial cells, T-cells, and other monocyte lineage cells. CSF analysis did not convincingly indicate intrathecal IgG production. We were unable to reproduce the reported elevation of anti-Aβ autoantibody concentration in CSF of CAA-RI patients. Our findings instead support nonspecific detection of IgG levels in CSF by the assay. Reviewed CAA-RI case reports suggested a widespread cerebral inflammatory reaction. In conclusion, our findings do not support anti-Aβ autoantibodies as a diagnostic biomarker for CAA-RI.

Rewireable Building Blocks for Enzyme-Powered DNA Computing Networks.

Neural networks enable the processing of large, complex data sets with applications in disease diagnosis, cell profiling, and drug discovery. Beyond electronic computers, neural networks have been implemented using programmable biomolecules such as DNA; this confers unique advantages, such as greater portability, electricity-free operation, and direct analysis of patterns of biomolecules in solution. Analogous to bottlenecks in electronic computers, the computing power of DNA-based neural networks is limited by the ability to add more computing units, i.e., neurons. This limitation exists because current architectures require many nucleic acids to model a single neuron. Each additional neuron compounds existing problems such as long assembly times, high background signal, and cross-talk between components. Here, we test three strategies to solve this limitation and improve the scalability of DNA-based neural networks: (i) enzymatic synthesis for high-purity neurons, (ii) spatial patterning of neuron clusters based on their network position, and (iii) encoding neuron connectivity on a universal single-stranded DNA backbone. We show that neurons implemented via these strategies activate quickly, with a high signal-to-background ratio and process-weighted inputs. We rewired our modular neurons to demonstrate basic neural network motifs such as cascading, fan-in, and fan-out circuits. Finally, we designed a prototype two-layer microfluidic device to automate the operation of our circuits. We envision that our proposed design will help scale DNA-based neural networks due to its modularity, simplicity of synthesis, and compatibility with various neural network architectures. This will enable portable computing power for applications in portable diagnostics, compact data storage, and autonomous decision making for lab-on-a-chips.

Formaldehyde quantification using gas chromatography–mass spectrometry reveals high background environmental formaldehyde levels

Formaldehyde (HCHO) is a human toxin that is both a pollutant and endogenous metabolite. HCHO concentrations in human biological samples are reported in the micromolar range; however, accurate quantification is compromised by a paucity of sensitive analysis methods. To address this issue, we previously reported a novel SPME–GC–MS-based HCHO detection method using cysteamine as an HCHO scavenger. This method showed cysteamine to be a more efficient scavenger than the widely used O-(2,3,4,5,6-pentafluorobenzyl)hydroxylamine, and enabled detection of aqueous HCHO in the nanomolar range and quantification in the micromolar range. However, quantification in this range required immersive extraction of the HCHO-derived thiazolidine, while a high background signal was also observed. Following on from these studies, we now report an optimised head-space extraction SPME–GC–MS method using cysteamine, which provides similarly sensitive HCHO quantification to the immersive method but avoids extensive wash steps and is therefore more amenable to screening applications. However, high background HCHO levels were still observed A Complementary GC–MS analyses using a 2-aza-Cope-based HCHO scavenger also revealed high background HCHO levels; therefore, the combined results suggest that HCHO exists in high (i.e. micromolar) concentration in aqueous samples that precludes accurate quantification below the micromolar range. This observation has important implications for ongoing HCHO quantification studies in water, including in biological samples.

Y-switch: a spring-loaded synthetic gene switch for robust DNA/RNA signal amplification and detection.

Nucleic acid tests (NATs) are essential for biomedical diagnostics. Traditional NATs, often complex and expensive, have prompted the exploration of toehold-mediated strand displacement (TMSD) circuits as an economical alternative. However, the wide application of TMSD-based reactions is limited by 'leakage'-the spurious activation of the reaction leading to high background signals and false positives. Here, we introduce the Y-Switch, a new TMSD cascade design that recognizes a custom nucleic acid input and generates an amplified output. The Y-Switch is based on a pair of thermodynamically spring-loaded DNA modules. The binding of a predefined nucleic acid target triggers an intermolecular reaction that activates a T7 promoter, leading to the perpetual transcription of a fluorescent aptamer that can be detected by a smartphone camera. The system is designed to permit the selective depletion of leakage byproducts to achieve high sensitivity and zero-background signal in the absence of the correct trigger. Using Zika virus (ZIKV)- and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-derived nucleic acid sequences, we show that the assay generates a reliable target-specific readout. Y-Switches detect native RNA under isothermal conditions without reverse transcription or pre-amplification, with a detection threshold as low as ∼200 attomole. The modularity of the assay allows easy re-programming for the detection of other targets by exchanging a single sequence domain. This work provides a low-complexity and high-fidelity synthetic biology tool for point-of-care diagnostics and for the construction of more complex biomolecular computations.

High-efficiency electrochemiluminescence of host-guest ligand-assembled gold nanoclusters preoxidated for ultrasensitive biosensing of protein

Herein, host–guest ligand-assembled gold nanoclusters (AuNCs) with highly efficient electrochemiluminescence (ECL) as an emitter and a programable tripedal deoxyribonucleic acid (DNA) walker with a well-regulated DNA track as the signal amplifier were used to develop an ultrasensitive biosensing platform for determining soluble urokinase-type plasminogen activator receptor (suPAR) related to chronic kidney disease. Notably, the host–guest ligand-assembled AuNCs with 6-aza-2-thiothymine (ATT) as the ligand and guanidine butyric acid (Gba) as the model (Gba/ATT-AuNCs) exhibited a strong and stable ECL signal under preoxidation, 25.6 times higher than that of traditional ATT-protected AuNCs (ATT-AuNCs). This is because of the dual-enhancement ECL mechanism of the suppression of nonradiative transitions by host–guest recognition and the improvement of the electrochemical redox rate by preoxidation. Furthermore, the trace target protein suPAR could be efficiently converted into a tripedal DNA walker to walk along a well-regulated square DNA orbit with high movement efficiency and low background signal, thereby considerably improving detection sensitivity. Thus, the established ECL sensing platform achieved the ultrasensitive detection of suPAR with a linear range from 10 fg/mL to 10 ng/mL and a limit of detection of 3.15 fg/mL, whose detection sensitivity was five orders of magnitude higher than that of the gold-standard enzyme-linked immunosorbent assay with the lowest detection concentration of 1 ng/mL. This strategy provides a novel enhanced ECL mode of AuNCs for constructing a sensitive biosensing platform and is expected to be extended to the trace detection of other protein markers in human body fluids for disease diagnosis.

PAIT effect: Padlock activator inhibits the trans-cleavage activity of CRISPR/Cas12a

The CRISPR/Cas12a system is increasingly used in biosensor development. However, high background signal and low sensitivity for the non-nucleic acid targets detection is challenging. Here, a padlock activator which could inhibit the trans-cleavage activity of CRISPR/Cas12a system in the intact form by steric hindrance effect (PAIT effect) was designed for non-nucleic acid targets detection. The PAIT effect disappeared when padlock activator was separated into two split activators. To verify the feasibility of padlock activator, a Ca2+ sensor was developed based on PAIT effect with the assistance of DNAzyme, activity of which was Ca2+ dependent. In the presence of Ca2+, DNAzyme was activated to cleave its substrate, a padlock activator modified with adenine ribonucleotide, into split padlock activators which would trigger the trans-cleavage activity of Cas12a to generate fluorescence. There was a mathematical relationship between the fluorescence intensity and the logarithm of Ca2+ concentration ranging from 10 pM to 1 nM, with a limit of detection of 3.98 pM. The little interference of Mg2+, Mn2+, Cd2+, Cu2+, Na+, Al3+, K+, Fe2+, and Fe3+ indicated high selectivity. Recovery ranged from 93.32% to 103.28% with RSDs from 1.87% to 12.74% showed a good accuracy and reliability. Furthermore, the proposed sensor could be applied to detect Ca2+ in mineral water, milk powder and urine. The results were consistent with that of flame atomic absorption spectroscopy. Thus, PAIT effect is valuable for expanding the application boundary of CRISPR/Cas12a system.

A "Dual-Key-and-Lock" MRI Contrast Agent with T1-T2 Switchable Function for Accurate Diagnosis of Tumors.

Extremely small iron oxide nanoparticle (ESIONP)-based stimuli-responsive switchable MRI contrast agents (CAs) show great promise for accurate detection of tumors due to their outstanding advantages of high specificity and low background signal. However, currently developed ESIONP-based switchable CAs often suffer single-biomarker-induced responses, which lack absolute specificity to pathological tissues, potentially diminishing diagnostic accuracy. In this study, weak acidity and hypoxia, two of the most remarkable characteristics of tumors, are introduced as dual biomarker stimuli to construct an ESIONP-based switchable MRI CA (DKL-CA), with its signal switch controlled by a "dual-key-and-lock" strategy. Only when DKL-CA is exposed to a coexisting weakly acidic and hypoxic environment can monodispersed ESIONPs form nanoclusters, thereby realizing a switch from the T1 to T2 contrast. Moreover, DKL-CA exhibits favorable biosafety and the capacity for precise tumor diagnosis in tumor-bearing mice. Overall, DKL-CA paves the way for designing highly accurate ESIONP-based MRI CAs for tumor diagnosis.

Acid Treatment of FVIII-Containing Plasma Samples Unmasks a Broad Spectrum of FVIII-Specific Antibodies in ELISA.

During routine treatment, plasma samples of patients with hemophilia A or acquired hemophilia A are frequently analyzed for the presence of FVIII-specific antibodies. While only inhibitory antibodies can be detected by the Bethesda assay, inhibitory and non-inhibitory antibodies can be detected by ELISA. However, plasma samples of patients frequently contain endogenous or substituted FVIII, hence interfering with both types of analyses. One option for the inactivation of FVIII is heat denaturation, which unfortunately has been shown to lead to high background signals complicating the discrimination of negative and positive plasma samples. In the current study, we developed a method of acid denaturation for FVIII-containing plasma samples that can help identify samples containing FVIII-specific antibodies and compared the effects of heat and acid denaturation on the detection of FVIII-antibody interactions in a monoclonal setting. The aim of our study was to establish an analysis that allows safer treatment decisions in the context of tolerance to FVIII.

Self-Quenched Fluorophore-DNA Labels for Super-Resolution Fluorescence Microscopy.

Protein labeling through transient and repetitive hybridization of short, fluorophore-labeled DNA oligonucleotides has become widely applied in various optical super-resolution microscopy methods. The main advantages are multitarget imaging and molecular quantification. A challenge is the high background signal originating from the presence of unbound fluorophore-DNA labels in solution. Here, we report the self-quenching of fluorophore dimers conjugated to DNA oligonucleotides as a general concept to reduce the fluorescence background. Upon hybridization, the fluorescence signals of both fluorophores are restored. We expand the toolbox of fluorophores suitable for self-quenching and report their spectra and hybridization equilibria. We apply self-quenched fluorophore-DNA labels to stimulated emission depletion microscopy and single-molecule localization microscopy and report improved imaging performances.

Programmable DNA Nanomachine Integrated with Electrochemically Controlled Atom Transfer Radical Polymerization for Antibody Detection at Picomolar Level.

The quantitative detection of antibodies is crucial for the diagnosis of infectious and autoimmune diseases, while the traditional methods experience high background signal noise and restricted signal gain. In this work, we have developed a highly efficient electrochemical biosensor by constructing a programmable DNA nanomachine integrated with electrochemically controlled atom transfer radical polymerization (eATRP). The sensor works by binding the target antidigoxin antibody (anti-Dig) to the epitope of the recognization probe, which then initiates the cascaded strand displacement reaction on a magnetic bead, leading to the capture of cupric oxide (CuO) nanoparticles through magnetic separation. After CuO was dissolved, the eATRP initiators were attached to the electrode based on the CuΙ-catalyzed azide-alkyne cycloaddition. The subsequent eATRP reaction results in the formation of long electroactive polymers (poly-FcMMA), producing an amplified current response for sensitive detection of anti-Dig. This method achieved a detection limit at clinically relevant picomolar concentration in human serum, offering a sensitive, convenient, and cost-effective tool for detecting various biomarkers in a wide range of applications.

A novel low-background nitroreductase fluorescent probe for real-time fluorescence imaging and surgical guidance of thyroid cancer resection

Thyroid cancer always appears insidiously with few noticeable clinical symptoms. Due to its limitations, conventional ultrasound imaging can lead to missed or misdiagnosed cases. Surgery is still the primary treatment method of thyroid cancer, but removal of surrounding healthy tissues to minimize recurrence leads to overtreatment and added patient suffering. To address this challenge, herein, a nitroreductase (NTR) fluorescent probe, Ox-NTR, has been developed for detecting thyroid cancer and tracking the surgical removal of thyroid tumors by fluorescence imaging. The conjugated structure of oxazine 1 was disrupted, significantly reducing the issue of high background signals, thus effectively achieving low background fluorescence. Under hypoxic conditions, the nitro group of Ox-NTR can be reduced to an amine and subsequently decomposed into oxazine 1, emitting intense red fluorescence. Ox-NTR has a low detection limit of 0.09 μg/mL for NTR with excellent photostability and selectivity. Cellular studies show that Ox-NTR can effectively detect NTR levels in hypoxic thyroid cancer cells. Moreover, the ability of Ox-NTR of rapid response to thyroid cancer in vivo is confirmed by fluorescence imaging in mice, distinguishing tumors from normal tissues due to its superior low background fluorescence. Utilizing this fluorescence imaging method during surgical resection can guide the removal of tumors, preventing both missed tumor tissues and accidental removal of healthy tissue. In summary, the novel Ox-NTR offers precise detection capabilities that provide significant advantages over traditional imaging methods for thyroid cancer diagnosis and treatment, making it a valuable tool to guide tumor removal in surgical procedures.

PET imaging of Aspergillus infection using Zirconium-89 labeled anti-β-glucan antibody fragments

PurposeInvasive fungal diseases, such as pulmonary aspergillosis, are common life-threatening infections in immunocompromised patients and effective treatment is often hampered by delays in timely and specific diagnosis. Fungal-specific molecular imaging ligands can provide non-invasive readouts of deep-seated fungal pathologies. In this study, the utility of antibodies and antibody fragments (Fab) targeting β-glucans in the fungal cell wall to detect Aspergillus infections was evaluated both in vitro and in preclinical mouse models.MethodsThe binding characteristics of two commercially available β-glucan antibody clones and their respective antigen-binding Fabs were tested using biolayer interferometry (BLI) assays and immunofluorescence staining. In vivo binding of the Zirconium-89 labeled antibodies/Fabs to fungal pathogens was then evaluated using PET/CT imaging in mouse models of fungal infection, bacterial infection and sterile inflammation.ResultsOne of the evaluated antibodies (HA-βG-Ab) and its Fab (HA-βG-Fab) bound to β-glucans with high affinity (KD = 0.056 & 21.5 nM respectively). Binding to the fungal cell wall was validated by immunofluorescence staining and in vitro binding assays. ImmunoPET imaging with intact antibodies however showed slow clearance and high background signal as well as nonspecific accumulation in sites of infection/inflammation. Conversely, specific binding of [89Zr]Zr-DFO-HA-βG-Fab to sites of fungal infection was observed when compared to the isotype control Fab and was significantly higher in fungal infection than in bacterial infection or sterile inflammation.Conclusions[89Zr]Zr-DFO-HA-βG-Fab can be used to detect fungal infections in vivo. Targeting distinct components of the fungal cell wall is a viable approach to developing fungal-specific PET tracers.

Indium-111 radiolabelling of a brain-penetrant Aβ antibody for SPECT imaging.

The development of bispecific antibodies that can traverse the blood-brain barrier has paved the way for brain-directed immunotherapy and when radiolabelled, immunoPET imaging. The objective of this study was to investigate how indium-111 (111In) radiolabelling with compatible chelators affects the brain delivery and peripheral biodistribution of the bispecific antibody RmAb158-scFv8D3, which binds to amyloid-beta (Aβ) and the transferrin receptor (TfR), in Aβ pathology-expressing tg-ArcSwe mice and aged-matched wild-type control mice. Bispecific RmAb158-scFv8D3 (biAb) was radiolabelled with 111In using CHX-A"-DTPA, DOTA, or DOTA-tetrazine (DOTA-Tz). Affinity toward TfR and Aβ, as well as stability, was investigated in vitro. Mice were then intravenously administered with the three different radiolabelled biAb variants, and blood samples were collected for monitoring pharmacokinetics. Brain concentration was quantified after 2 and 72 h, and organ-specific retention was measured at 72 h by gamma counting. A subset of mice also underwent whole-body Single-photon emission computed tomography (SPECT) scanning at 72 h after injection. Following post-mortem isolation, the brains of tg-ArcSwe and WT mice were sectioned, and the spatial distribution of biAb was further investigated with autoradiography. All three [111In]biAb variants displayed similar blood pharmacokinetics and brain uptake at 2 h after administration. Radiolabelling did not compromise affinity, and all variants showed good stability, especially the DOTA-Tz variant. Whole-body SPECT scanning indicated high liver, spleen, and bone accumulation of all [111In]biAb variants. Subsequent ex vivo measurement of organ retention confirmed SPECT data, with retention in the spleen, liver, and bone - with very high bone marrow retention. Ex vivo gamma measurement of brain tissue, isolated at 72 h post-injection, and ex vivo autoradiography showed that WT mice, despite the absence of Aβ, exhibited comparable brain concentrations of [111In]biAb as those found in the tg-ArcSwe brain. The successful 111In-labelling of biAb with retained binding to TfR and Aβ, and retained ability to enter the brain, demonstrated that 111In can be used to generate radioligands for brain imaging. A high degree of [111In]biAb in bone marrow and intracellular accumulation in brain tissue indicated some off-target interactions or potential interaction with intrabrain TfR resulting in a relatively high non-specific background signal.

Magnetic Silica-Coated Fluorescent Microspheres (MagSiGlow) for Simultaneous Detection of Tumor-Associated Proteins.

Multiplexed bead assays for solution-phase biosensing often encounter cross-over reactions during signal amplification steps, leading to unwanted false positive and high background signals. Current solutions involve complex custom-designed and costly equipment, limiting their application in simple laboratory setup. In this study, we introduce a straightforward protocol to adapt a multiplexed single-bead assay to standard fluorescence imaging plates, enabling the simultaneous analysis of thousands of reactions per plate. This approach focuses on the design and synthesis of bright fluorescent and magnetic microspheres (MagSiGlow) with multiple fluorescent wavelengths serving as unique detection markers. The imaging-based, single-bead assay, combined with a scripted algorithm, allows the detection, segmentation, and co-localization on average of 7500 microspheres per field of view across five imaging channels in less than one second. We demonstrate the effectiveness of this method with remarkable sensitivity at low protein detection limits (100 pg/mL). This technique showed over 85 % reduction in signal cross-over to the solution-based method after the concurrent detection of tumor-associated protein biomarkers. This approach holds the promise of substantially enhancing high throughput biosensing for multiple targets, seamlessly integrating with rapid image analysis algorithms.

Magnetic Silica‐Coated Fluorescent Microspheres (MagSiGlow) for Simultaneous Detection of Tumor‐Associated Proteins

AbstractMultiplexed bead assays for solution‐phase biosensing often encounter cross‐over reactions during signal amplification steps, leading to unwanted false positive and high background signals. Current solutions involve complex custom‐designed and costly equipment, limiting their application in simple laboratory setup. In this study, we introduce a straightforward protocol to adapt a multiplexed single‐bead assay to standard fluorescence imaging plates, enabling the simultaneous analysis of thousands of reactions per plate. This approach focuses on the design and synthesis of bright fluorescent and magnetic microspheres (MagSiGlow) with multiple fluorescent wavelengths serving as unique detection markers. The imaging‐based, single‐bead assay, combined with a scripted algorithm, allows the detection, segmentation, and co‐localization on average of 7500 microspheres per field of view across five imaging channels in less than one second. We demonstrate the effectiveness of this method with remarkable sensitivity at low protein detection limits (100 pg/mL). This technique showed over 85 % reduction in signal cross‐over to the solution‐based method after the concurrent detection of tumor‐associated protein biomarkers. This approach holds the promise of substantially enhancing high throughput biosensing for multiple targets, seamlessly integrating with rapid image analysis algorithms.

Phosphorothioate-modified G-quadruplex as a signal-on dual-mode reporter for CRISPR/Cas12a-based portable detection of environmental pollutants

BackgroundClustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a-powered biosensor with a G-quadruplex (G4) reporter offer the benefits of simplicity and sensitivity, making them extensively utilized in detection applications. However, these biosensors used for monitoring pollutants in environmental water samples may face the problem of high background signal and easy interference due to the “signal-off” output. It is obvious that a biosensor based on the CRISPR/Cas12a system and G4 with a “signal on” output mode needs to be designed for detecting environmental pollutants. ResultsBy using phosphorothioate-modified G4 as a reporter and catalytic hairpin assembly (CHA) integrated with Cas12a as an amplification strategy, a “signal-on” colorimetric/photothermal biosensor (psG4-CHA/Cas) for portable detection of environmental pollutants was developed. With the help of functional nucleotides, the target pollutant (kanamycin or Pb2+) triggers a CHA reaction to produce numerous double-strand DNA, which can activate Cas12a′s trans-cleavage activity. The active Cas12a cleaves locked DNA to release caged psG-rich sequences. Upon binding hemin, the psG-rich sequence forms a psG4/hemin complex, facilitating the oxidation of the colorless 3,3′,5,5′-tetramethylbenzidine (TMB) into the blue photothermal agent (oxTMB). The smartphone was employed for portable colorimetric detection of kanamycin and Pb2+. The detection limits were found to be 100 pM for kanamycin and 50 pM for Pb2+. Detection of kanamycin and Pb2+ was also carried out using a portable thermometer with a detection limit of 10 pM for kanamycin and 8 pM for Pb2+. SignificanceSensitive, selective, simple and robust detection of kanamycin and Pb2+ in environmental water samples is achieved with the psG4-CHA/Cas system. This system not only provides a new perspective on the development of efficient CRISPR/Cas12a-based “signal-on” designs, but also has a promising application for safeguarding human health and environmental monitoring.