Identification of key regulators in rheumatoid arthritis
Identification of key regulators in rheumatoid arthritis
批准号:
10400059
负责人:
GARY S FIRESTEIN
金额:
$59.06万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
未结题
起止时间:
2014-08-01 至 2025-04-30
关键词:
ATAC-seqAffectAggressive behaviorBindingBiologicalBiological AssayBiological ProcessBiological ProductsBiopsyCartilageCell LineageChromatinCritical PathwaysDNADNA MethylationDataData SetDegenerative polyarthritisDevelopmentDiffuseDiseaseEffector CellEnhancersEnvironmental Risk FactorEnzymesEpigenetic ProcessFibroblastsGenesGeneticGenetic VariationHandHip JointHuman GenomeImmuneIndividualInterleukin-6ItalyJointsKneeKnee jointMapsMeasurementMeasuresMediatingMediator of activation proteinMedicalMethodsModificationMolecularNamesNatural ImmunityPathogenesisPathogenicityPathway interactionsPatientsPlayProductionRegulationReplacement ArthroplastyRheumatoid ArthritisRoleSamplingSignal PathwaySurveysSynovial MembraneSynovitisTai JiTextTherapeutic AgentsVariantWorkWristcomputational pipelinescostdifferential expressioneffective therapyepigenomicsexperimental studygenetic variantgenome sequencinggenome-widehistone modificationimprovedindividual patientinsightjoint injurymethylomepersonalized medicinepromoterresponsetranscription factortranscriptometranscriptome sequencingtreatment responsewhole genome
中文摘要
项目摘要
类风湿关节炎(RA)的关节损害和滑膜炎症受遗传和
环境因素。个别患者和关节对相同的治疗表现出不同的反应。
为了揭示RA发病的潜在机制,全基因组特征需要
投入材料少,成本相对较低。目前,RNA-seq和atac-seq
满足这些要求,在RA样本中定位转录组和开放染色质,这可以提供
对致病机制的补充描述。我们建议在这里执行RNA-SEQ和ATAC-
类风湿性关节炎和骨关节炎患者的成纤维样滑膜细胞(FLS)中的SEQ。我们将发展和
改进一种新的计算管道,整合这些数据来评估每个转录因子的
在个别患者中的重要性。通过比较FLS RA和OA样本,我们将识别特定疾病
特定目标中的调节器1.通过比较单个RA患者,我们将确定患者特定的调节器
具体目标2.我们将进行生物实验,以验证在特定目标3中预测最多的调控因子。
一旦完成,这项研究将开辟一条理解潜在监管机制的新途径
RA和口述个体患者对治疗的不同反应,这为
精准、个性化的治疗。
英文摘要
Project Summary
Joint damage and synovial inflammation in rheumatoid arthritis (RA) are influenced by genetic and
environmental factors. Individual patients and joints have shown variation of response to the same treatment.
To reveal the underlying mechanisms, genome-wide characterization of the RA pathogenesis that require
small amount of input materials and at relatively low cost is necessary. Currently, RNA-seq and ATAC-seq
satisfy these requirements to map transcriptome and open chromatin in the RA samples, which can provide
complementary delineation of the pathogenic mechanisms. We propose here to perform RNA-seq and ATAC-
seq in fibroblast-like synoviocytes (FLS) for both RA and osteoarthritis (OA) patients. We will develop and
improve a new computational pipeline that integrates these data to evaluate each transcription factor's
importance in individual patients. By comparing FLS RA and OA samples, we will identify disease-specific
regulators in Specific Aim 1. By comparing individual RA patients, we will identify patient-specific regulators in
Specific Aim 2. We will perform biologic experiments to validate the top predicted regulators in Specific Aim 3.
Once completed, this study will open a new avenue of understanding the regulatory mechanisms underlying
RA and dictating the variable responses to treatment in individual patients, which paves the way towards
precise and personalized therapy.
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