Platform for high-throughput biomechanical measurements using metallic islands on boron nitride nanosheets
Platform for high-throughput biomechanical measurements using metallic islands on boron nitride nanosheets
批准号:
10158533
负责人:
Darren J Lipomi
金额:
$18.25万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-06-01 至 2023-05-31
关键词:
AlgorithmsAnimalsArrhythmiaAwardBenchmarkingBiological AssayBiomechanicsBiomedical EngineeringBoronCancer PatientCardiac MyocytesCardiomyopathiesCardiotoxicityCardiovascular systemCellsCellular biologyCessation of lifeClassificationClinicalDataData SetDetectionDevelopmentDevicesDilated CardiomyopathyDiseaseDisease modelDrug CompoundingDrug ScreeningElectrical ResistanceEngineeringEvaluationFailureFunctional disorderHealthHeartHeart DiseasesHeart failureHumanHuman BiologyHypertrophic CardiomyopathyIndividualIslandKineticsMapsMeasurementMeasuresMechanicsMedicineMembraneMethodsModelingMutationMyopathyOpticsOutcomePatientsPharmaceutical PreparationsPhenotypePlayProcessProteinsRelaxationRoleSarcomeresSignal TransductionSolidTestingTimeTissue EngineeringTrainingUnited States National Institutes of HealthUniversitiesUrsidae Familyanalogbasebiomaterial compatibilitycellular engineeringchemotherapydesigndetection limitdrug developmentdrug discoveryexperiencefunctional genomicshigh throughput analysisimprovedinduced pluripotent stem cellinnovationinstrumentationmachine learning algorithmmechanical forcemechanical propertiesmetallicitynanonanofabricationresponsesensorstem cellstherapeutic targettool
中文摘要
总结
英文摘要
SUMMARY
This proposal describes a new platform for high-throughput measurement of mechanical phenomena in cells.
The platform is based on a type of strain sensor comprising metallic nanoislands supported by hexagonal boron
nitride. Mechanical deformation produces a change in both the electrical resistance and the optical scattering of
these sensors. These processes allow the detection of deformations ≤1 ppm (≤0.0001% strain). This
unprecedented level of sensitivity permits the measurement of minute forces produced by cells that cannot be
measured using existing methods, and the electrical signals can be analyzed rapidly using machine-learning
algorithms. While this sensor has a broad range of potential applications in cell biology, we apply it here to a
ubiquitous challenge in cardiovascular medicine and drug discovery. In particular, contractile dysfunction in
cardiomyocytes is associated with a range of difficult-to-treat cardiomyopathies. In drug discovery, cardiotoxicity
(myopathy, arrhythmia, or both) is a leading reason for the failure of drugs during development and aftermarket
launch. For some classes of drugs—especially those used in chemotherapy—up to 30% of patients experience
heart disease related to their treatment. Indeed, heart failure is the second most common reason for death of
cancer patients. There are currently no assays that are both predictive of cardiotoxicity and are of sufficient
throughput to implement early in drug development (i.e., when safer drug leads can be selected among
analogues). We propose the use of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) bearing
various disease-associated mutations as a test case of our nano-enabled biomechanical sensor. In particular,
we will construct an array based on a “96-well” plate format combined with high-throughput analysis using a
purpose-designed machine learning algorithm in order to measure the forces and kinetics of contractility of the
cells. Such a platform would enable large-scale evaluation of disease mechanisms and accelerate therapeutic
target discovery by permitting high-throughput, unbiased testing. This application offers the exciting possibility
of introducing aspects of the biology of the human heart early in the discovery pipeline. More broadly, the platform
we describe offers the potential of answering deep questions about mechanical phenomena in cells—“the
mechanome”—which play critical roles in human health.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Stretchable, Biodegradable, and Self-Healing Semiconductors for Wearable and Implantable Sensors
-
批准号:8954687
-
项目类别:
-
资助金额:$219.33万
-
财政年份:2015
-
负责人:Darren J Lipomi
-
依托单位:
Stretchable, Biodegradable, and Self-Healing Semiconductors for Wearable and Implantable Sensors
-
批准号:9980002
-
项目类别:
-
资助金额:$47.25万
-
财政年份:2015
-
负责人:Darren J Lipomi
-
依托单位:
海外基金