Artificial Intelligence Boosted Evolution and Detection of Genetically Encoded Reporters for In Vivo Imaging
Artificial Intelligence Boosted Evolution and Detection of Genetically Encoded Reporters for In Vivo Imaging
批准号:
10180072
负责人:
CHRISTIAN T FARRAR
金额:
$68.05万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-04-01 至 2024-12-31
关键词:
AlgorithmsAmidesArtificial IntelligenceBiological Response Modifier TherapyCardiacCellsChemicalsClinicClinicalClinical assessmentsCollaborationsDetectionDevelopmentDiagnosisDiscriminationDiseaseDrug KineticsEvolutionFingerprintGene TransferGenesGenetic ProgrammingGlioblastomaGoalsHistologicImageInfectionLongitudinal StudiesLysineMachine LearningMagnetic ResonanceMagnetic Resonance ImagingMeasurementMedical ImagingMetabolicMethodsModelingMonitorMusOncolyticOncolytic virusesPathologyPerformancePhysiologic pulseProblem SolvingProtein EngineeringProteinsProtonsReporterReporter GenesResistanceResolutionScheduleSensitivity and SpecificitySignal TransductionSpecificityTechnologyTestingTherapeuticTherapeutic AgentsTimeTissuesTumor Cell LineViralVirus DiseasesVirus ReplicationWaterWorkbasecancer imagingclinical translationdeep learningdeep neural networkdetection methoddetection sensitivitygene therapyimaging modalityimprovedin vivo imagingneoplastic cellneural network architecturenoveloncolytic virotherapypre-clinicalradio frequencyrapid techniqueresponsetherapeutic genetooltraffickingtransgene expressiontumorviral gene delivery
中文摘要
项目摘要
磁共振(MR)报告基因有潜力监测转基因表达的非侵入性,
高分辨率的真实的时间。这些基因可用于询问基因治疗的疗效,
病毒治疗和病毒基因递送,以评估细胞分化、细胞运输和特异性
代谢活动,并评估微环境的变化。努力发展MR
报道基因已经被制造了十多年,但是,尽管有这些努力,该领域仍处于早期阶段。
发育阶段这反映了一个事实,即有许多并发症,造成的低
检测的灵敏度,对底物及其相关的不期望的药代动力学的需要,和/或
信号变化的解释困难,并且在某些情况下延迟。
我们以前已经证明,这些挑战中的许多可以通过使用富含赖氨酸的
蛋白(LRP)报告基因,可通过化学交换饱和转移(CEST)MRI检测。
然而,要使CEST报告基因技术成熟并将其推向临床翻译,其敏感性
特异性有待提高。特别地,LRP报告基因特异性受到以下事实的限制:
LRP的赖氨酸酰胺可交换质子具有与LRP的酰胺质子相同的化学位移,
内源性蛋白质因此很难将报告者CEST对比与背景区分开来
CEST对比度,两者都可能随时间而变化。特异性进一步受到以下灵敏度的限制:
CEST与细胞内pH值对比,其中定性CEST对比无法区分
汇率和集中效应。最后,在许多疾病中观察到的细胞溶质pH值降低,
病理学,降低酰胺质子交换率,并因此降低CEST报告敏感性。
因此,我们建议开发改进的MRI报告基因和定量MRI检测方法,
将促进这些方法的临床转化,用于成像生物治疗剂,例如溶瘤剂,
病毒疗法。我们假设,敏感性和特异性沿着提高的CEST报告基因,
改进的定量CEST方法将能够纵向监测病毒感染和复制
整个OV肿瘤治疗过程中。为了验证这一假设,并建立MRI报告基因的临床潜力,
我们将利用我们实验室开发的两项变革性技术;(目标1)人工智能
将基于遗传规划算法的CEST用于优化敏感性和特异性
报告基因和(目的2)CEST磁共振指纹(MRF)方法将用于快速
报告蛋白浓度和化学交换速率的定量。(Aim(3)这些方法
将被验证用于在小鼠胶质母细胞瘤肿瘤模型中成像溶瘤病毒感染和复制。
英文摘要
PROJECT SUMMARY
Magnetic resonance (MR) reporter genes have the potential to monitor transgene expression non-invasively in
real time at high resolution. These genes can be applied to interrogate the efficacy of gene therapy, to monitor
viral therapeutics and viral gene delivery, to assess cellular differentiation, cell trafficking, and specific
metabolic activity, and also assess changes in the microenvironment. Efforts toward the development of MR
reporter genes have been made for over a decade, but, despite these efforts, the field is still in its early
developmental stage. This reflects the fact that there are numerous complications, caused by the low
sensitivity of detection, the need for substrates with their associated undesirable pharmacokinetics, and/or the
difficult and, in some cases, delayed interpretation of signal changes.
We have previously demonstrated that many of these challenges can be overcome with the use of a lysine rich
protein (LRP) reporter gene, that is detectable by chemical exchange saturation transfer (CEST) MRI.
However, to mature the CEST reporter gene technology and bring it towards clinical translation, its sensitivity
and specificity need to be improved. In particular, the LRP reporter gene specificity is limited by the fact that
the lysine amide exchangeable protons of LRP have the same chemical shift as amide protons from
endogenous proteins. It is therefore difficult to distinguish the reporter CEST contrast from the background
CEST contrast, both of which may be changing with time. The specificity is further limited by the sensitivity of
the CEST contrast to intracellular pH where the qualitative CEST contrast cannot distinguish between
exchange rate and concentration effects. Finally, a decrease in cytosolic pH, observed in many disease
pathologies, reduces the amide proton exchange rate and hence the CEST reporter sensitivity.
We therefore propose to develop improved MRI reporter genes and quantitative MRI detection methods that
will facilitate the clinical translation of these methods for imaging biological therapeutics, such as oncolytic
virotherapy. We hypothesize that CEST reporter genes with improved sensitivity and specificity along with
improved quantitative CEST methods will enable viral infection and replication to be monitored longitudinally
throughout OV tumor therapy. To test this hypothesis and establish the clinical potential of MRI reporter genes
we will capitalize on two transformative technologies developed in our labs; (Aim 1) an artificial intelligence
based genetic programming algorithm will be used for optimizing the sensitivity and specificity of the CEST
reporter gene and (Aim 2) a CEST magnetic resonance fingerprinting (MRF) method will be used for the rapid
quantification of both the reporter protein concentration and chemical exchange rate. (Aim 3) These methods
will be validated for imaging oncolytic viral infection and replication in mouse glioblastoma tumor models.
期刊论文(0)
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科研奖励(0)
会议论文
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批准号:10630520
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项目类别:
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资助金额:$60.0万
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负责人:CHRISTIAN T FARRAR
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