Development of a Novel Split Enzyme Diagnostic Platform for Use at the Point of Care
Development of a Novel Split Enzyme Diagnostic Platform for Use at the Point of Care
批准号:
10723565
负责人:
Catherine E. Majors
金额:
$10.79万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-07-01 至 2024-06-30
关键词:
Adenylate CyclaseAffinityAntibodiesAntigensBase PairingBindingBiological AssayBiological MarkersBiologyBiosensorBloodBlood specimenClinicalClinical TrialsCollaborationsCommunicable DiseasesComplexComputer ModelsConcentration measurementCyclic AMPCyclic AMP Receptor ProteinDNADetectionDevelopmentDevicesDiagnosisDiagnosticDiagnostic EquipmentDiseaseEnzymesEquipmentFeedbackFluorescenceFluorescence Resonance Energy TransferFreeze DryingFutureGoalsHepatitis CHepatitis C virusHumanImmunoglobulin FragmentsIn VitroInvestigationModelingNatureOutputPathway interactionsPhasePost-Translational Protein ProcessingProteinsRapid diagnosticsReactionReaderRecombinantsReporterSamplingSerumSignal TransductionSignaling ProteinSirolimusSystemTacrolimus Binding Protein 1ATertiary Protein StructureTestingValidationWorkadenylateantigen bindingclinical biomarkersclinical translationclinically relevantdesigndetection methoddetection platformdiagnostic platformenzyme reconstitutionin vivoinnovationlateral flow assaynovelnucleic acid detectionpoint of carepoint-of-care detectionpoint-of-care diagnosticspreventprotein biomarkersrapid detectionreconstitutionresponsescaffoldsmall moleculetargeted biomarker
中文摘要
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英文摘要
PROJECT SUMMARY
Rapid, inexpensive detection of biomarkers at the point of care is vital for many clinical purposes. However,
limitations in current detection platforms have prevented the sensitive detection of many protein and small
molecule biomarkers, forcing clinicians to rely on either potentially inaccurate empirical diagnosis or expensive
lab tests to make critical treatment decisions. Sensitive detection of nucleic acid targets has been readily
achieved by exploiting Watson-Crick base pairing to amplify signals (e.g., PCR), but there has been a lack of
innovation for detection of low concentration antigens and small molecules at the point of care. Nature, on the
other hand, has evolved intricate mechanisms for rapidly amplifying protein signals in vivo via post-translational
modification and protein-based signaling networks that could be adapted for biomarker detection. Towards the
goal of developing novel, rapid, ultrasensitive diagnostics, the central hypothesis of this project is that
in vitro, protein-based signaling networks incorporating self-amplifying motifs can detect clinical
biomarkers. Specifically, we plan to incorporate three mechanisms of protein signaling networks with potential
for diagnostics: split enzyme reconstitution, autocatalytic positive feedback loops, and small molecule
biosensors. We have previously demonstrated the in vitro use of split adenylate cyclase for small molecule
detection via the simultaneous binding of two proteins (i.e. a sandwich assay in solution), bringing two halves
of adenylate cyclase together and producing cAMP. Aim 1 (K99) will incorporate binding domains for
detection of clinically relevant biomarker targets and investigate detection in human sample matrices.
We will test different binding domains fused to split adenylate cyclase fragments to detect Hepatitis C Core
Antigen (HCVcAg). Towards the development of a point-of-care diagnostic, Aim 2 (K99) will optimize
reaction components for lyophilization and long-term storage and develop a hand-held point-of-care
reader to detect the shift in fluorescence produced by the FRET-based cAMP biosensor. Lab-bench
validation of all components will be performed using HCVcAg spiked into commercially purchased pooled
blood samples. Aim 3 (R00) will investigate the use of split adenylate cyclase and cAMP receptor protein
to create an autocatalytic feedback loop in vitro. This work would result in the first known in vitro protein
signaling network with bistable switch-like sensing, a significant advancement for the diagnostics field. If
successful, this system would be broadly applicable for protein and small molecule detection and could be
used to detect a wide range of target analytes with known binding domains. As such, future work includes the
incorporation of binding domains to detect other high value protein and small molecule analytes currently
unable to be rapidly detected at the point of care and the clinical translation of the described diagnostic device
with pilot clinical trials in collaboration with both domestic and foreign clinical partners.
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An Enzyme Self-Amplification System for Ultrasensitive Detection of Biomarkers at the Point of Care
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批准号:10463564
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项目类别:
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资助金额:$6.5万
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财政年份:2021
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负责人:Catherine E. Majors
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依托单位:
海外基金