Algorithms to link signaling pathways with transcriptional programs for precision medicine
Algorithms to link signaling pathways with transcriptional programs for precision medicine
批准号:
9814762
负责人:
Hatice Ulku Osmanbeyoglu
金额:
$24.9万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-06 至 2021-11-30
关键词:
AddressAffinityAlgorithmsAwardBasic ScienceBindingCancer BiologyCancer PatientCancer cell lineCell LineClinicClinicalClinical Trials DesignCommunicationComputer SimulationDNA Sequence AlterationDataData SetDevelopmentDiagnosisDrug resistanceEnhancersEpigenetic ProcessEventExpression ProfilingFoundationsGene ExpressionGene Expression ProfileGenesGeneticGenetic TranscriptionGenomeGoalsGrowth Factor ReceptorsHandLaboratoriesLeadLeadershipLearningLinkMalignant NeoplasmsMeasuresMentorshipMessenger RNAMethodologyMethodsModelingMonoclonal AntibodiesMutationOncogenicOutcomePatient-Focused OutcomesPharmaceutical PreparationsPhasePredictive FactorProtein ArrayProteinsProteomicsResearchResearch Project GrantsRoleScientistSignal PathwaySignal TransductionSignal Transduction InhibitorSignal Transduction PathwaySignaling ProteinStatistical ModelsTrainingTranslatingTumor Biologyanticancer researchbasecancer cellcancer genomicscancer typecareer developmentcomparativedrug response predictiondrug sensitivityepigenomicsexperiencefunctional genomicsgenomic aberrationsgenomic datainsightlearning strategymRNA Expressionmulti-task learningnoveloutcome forecastpersonalized approachpersonalized cancer therapypersonalized medicinephosphoproteomicsprecision medicinepredictive modelingpredictive signatureprogramsprotein expressionregression algorithmresponseskillssmall molecule inhibitortargeted treatmenttranscription factortranscriptomicstumor
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary/Abstract
Cancers arise through the accumulation of genetic and epigenetic alterations that often target
signal transduction pathways, leading to dysregulation of downstream transcriptional effectors and
widespread gene expression changes. Since many targeted therapies are small molecule inhibitors of
signal transduction proteins or monoclonal antibodies against growth factor receptors, deciphering the
signaling pathways that are deregulated in a given tumor in order to personalize therapy is a major goal
of cancer genomics. The aim of this project is to develop algorithmic approaches linking signaling to
transcriptional response for precision medicine. During the K99 phase of the award, I will develop
statistical modeling approaches to integrate publicly available transcriptomic, proteomic and genomic
data across tumor types with epigenomic data in appropriate cell lines in order to study altered
transcriptional programs and signaling pathways in cancer. With these methods in hand, during the R00
phase I will study the impact of common and cancer-specific transcription factor and signaling
regulators on clinical outcome and drug response. We expect that our results will lead to new insights in
cancer biology and furthermore assist in the design of clinical trials that match actionable oncogenic
signatures with personalized therapies. I propose a training plan under the mentorship of a broad,
interdisciplinary team of clinicians, scientists, and computational biologists with extensive combined
experience in all aspects of the proposed research project. This focused research mentorship, together
with frequent presentation of results and informal interactions, will help me develop the
communication and leadership skills vital for my transition to independence. In the long term, this training
will prepare me to lead a laboratory that centers on developing statistical and computational approaches
for precision medicine to bridge the gap between basic science and the clinic.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Computational methods for delineating cell context-specific regulatory programs
-
批准号:10809085
-
项目类别:
-
资助金额:$1.15万
-
财政年份:2022
-
负责人:Hatice Ulku Osmanbeyoglu
-
依托单位:
Computational methods for delineating cell context-specific regulatory programs
-
批准号:10697343
-
项目类别:
-
资助金额:$38.44万
-
财政年份:2022
-
负责人:Hatice Ulku Osmanbeyoglu
-
依托单位:
Algorithms to link signaling pathways with transcriptional programs for precision medicine
-
批准号:10063974
-
项目类别:
-
资助金额:$0.0万
-
财政年份:2016
-
负责人:Hatice Ulku Osmanbeyoglu
-
依托单位:
Algorithms to link signaling pathways with transcriptional programs for precision medicine
-
批准号:10319970
-
项目类别:
-
资助金额:$24.9万
-
财政年份:2016
-
负责人:Hatice Ulku Osmanbeyoglu
-
依托单位:
海外基金