Identification of Cell-Specific Transcriptional Programs that Drive Cervical Remo
识别驱动宫颈 Remo 的细胞特异性转录程序
基本信息
- 批准号:10231426
- 负责人:
- 金额:$ 7.05万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-04-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:3-Dimensional37 weeks gestationATAC-seqAddressAutomobile DrivingBirthCell Culture SystemCell NucleusCell modelCell physiologyCellsCenters for Disease Control and Prevention (U.S.)CervicalCervix UteriChromatinCollagen FiberCollagen FibrilCompetenceComplexCuesDataData SetDefectDepositionDeveloped CountriesDevelopmentDiscipline of obstetricsEarly identificationElastic FiberEnhancersEstrogensEtiologyEventExtracellular MatrixExtracellular Matrix ProteinsFetusFiberFoundationsFunctional disorderFutureGene ExpressionGene TargetingGenesGenetic TranscriptionGenomicsGoalsHormonalHormonesHumanIncidenceIndividualInfantK-Series Research Career ProgramsKnockout MiceKnowledgeLeadMechanicsMediatingMediator of activation proteinModificationMolecularMolecular GeneticsMorbidity - disease rateMusNewborn InfantOutcomePathway interactionsPerinatal mortality demographicsPhasePhenotypePopulationPredictive FactorPregnancyPregnancy ComplicationsPregnancy MaintenancePremature BirthPreparationPreventionProcessProgesteroneProteinsRegulator GenesRegulatory PathwayResearch PersonnelResolutionRiskRisk FactorsRoleSignal TransductionSolidStromal CellsStructureSystemTechnologyTestingTimeTissuesUnited StatesValidationWild Type Mousebiomarker identificationcell typecervical remodelingclinically relevantconditional knockoutdecorinearly pregnancyin vivoinnovationmouse modelneonatenovelperinatal morbiditypost-doctoral trainingpregnantpreservationprogramspromoterreproductiveresiliencesingle-cell RNA sequencingsteroid hormonetherapeutic targettranscription factortranslational impact
项目摘要
Premature Birth (PTB) is the most common complication during pregnancy leading to a high incidence of perinatal morbidity and mortality rates in developed countries. According to the CDC, in 2018, 1 of every 10 newborns delivered preterm in the United States. An understanding of the molecular processes that determine a successful pregnancy and on time parturition is essential in order to elucidate the diverse mechanisms by which this process can go awry and lead to a premature birth. The transformation of the cervix from a closed rigid structure to one that can open sufficiently for passage of a term infant is one such process. The significance of the proposed studies is the potential to advance understanding of the dynamic molecular events that regulate cervical remodeling at the cellular level. The focus of this application is to utilize innovative single cell genomic technologies that will allow us to define gene regulatory networks that drive cervical remodeling. We will identify regions of active transcription at single cell resolution in the mouse cervix from nonpregnant, time points in pregnancy, and in labor. Utilizing novel computational approaches previously used to study cellular reprogramming events in development, this data will be used to understand how each cell type transitions its phenotype to implement the dynamic process of remodeling and identify the cell specific transcription factors that drive these cell specific molecular changes. Functional validation of the identified transcription factors will be carried out using a human 3D-cervical cell culture system and studies in normal mice and mouse models with targeted deletion of the transcription factors. The proposed studies will provide a solid and broad foundation of understanding of cellular events that drive cervical remodeling which will allow the discovery of risk factors for premature birth that are not yet known and will uncover new pathways to explore for therapeutic targets for prevention of preterm birth. In addition, these studies will provide me the scientific and technical knowledge required for a successful postdoctoral training and importantly, will set the foundation to apply for K awards aiding in my transition to becoming an independent investigator in the reproductive field.
早产(PTB)是怀孕期间最常见的并发症,导致发达国家围产期发病率和死亡率的发病率很高。据疾病预防控制中心(CDC)称,2018年,每10名新生儿中有1人在美国分娩了早产。对决定成功怀孕并按时分娩的分子过程的理解对于阐明该过程可能出现问题并导致早产的多种机制至关重要。子宫颈从封闭的刚性结构转变为可以开放的,以便通过术语婴儿的传播是一个这样的过程。拟议研究的重要性是提高对调节细胞水平宫颈重塑的动态分子事件的理解的潜力。该应用的重点是利用创新的单细胞基因组技术,这些技术将使我们能够定义驱动颈椎重塑的基因调节网络。我们将在小鼠子宫颈的单细胞分辨率下从非怀孕,妊娠时间点和分娩中确定活性转录区域。利用先前用于研究开发中细胞重编程事件的新型计算方法,该数据将用于了解每种细胞类型如何过渡其表型,以实现重塑的动态过程,并确定驱动这些细胞特定分子变化的细胞特异性转录因子。将使用人类3D颈细胞培养系统以及针对转录因子有针对性缺失的正常小鼠和小鼠模型的研究进行鉴定转录因子的功能验证。拟议的研究将为驱动宫颈重塑的细胞事件提供坚实而广泛的理解,这将使尚不清楚的早产危险因素发现危险因素,并将发现新的途径,以预防早产的治疗靶点。此外,这些研究将为我提供成功的博士后培训所需的科学和技术知识,重要的是,将奠定基础,以申请帮助我过渡到成为生殖领域的独立研究者的K奖。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mariano Colon-Caraballo其他文献
Mariano Colon-Caraballo的其他文献
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{{ truncateString('Mariano Colon-Caraballo', 18)}}的其他基金
Identification of Cell-Specific Transcriptional Programs that Drive Cervical Remo
识别驱动宫颈 Remo 的细胞特异性转录程序
- 批准号:
10407489 - 财政年份:2021
- 资助金额:
$ 7.05万 - 项目类别:
Identification of Cell-Specific Transcriptional Programs that Drive Cervical Remo
识别驱动宫颈 Remo 的细胞特异性转录程序
- 批准号:
10602527 - 财政年份:2021
- 资助金额:
$ 7.05万 - 项目类别:
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