High-throughput identification of common CD8+ T cell responses to SIV and M. tuberculosis in rhesus macaques
High-throughput identification of common CD8+ T cell responses to SIV and M. tuberculosis in rhesus macaques
批准号:
10328877
负责人:
David H. O'Connor
金额:
$67.99万
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:
2014-09-01 至 2025-01-31
关键词:
AIDS-Related Opportunistic InfectionsAIDS/HIV problemAddressAlgorithmsAllelesAmino Acid SubstitutionAreaBindingBiological AssayCD8-Positive T-LymphocytesCause of DeathCommunicable DiseasesCommunitiesCore FacilityCryopreservationDatabasesDepositionDevelopmentEbola virusEpitopesGenbankGrantHIVHIV/TBHumanImmuneInfluenzaInstitutesInterferon Type IIInterventionInvestmentsLigandsMacacaMacaca mulattaMajor Histocompatibility ComplexMeasuresMethodsModalityMonkeysMycobacterium tuberculosisNational Institute of Allergy and Infectious DiseaseNational Institute of Drug AbuseNational Institute of Mental HealthNational Institute of Neurological Disorders and StrokePathogenesisPeptidesPeripheral Blood Mononuclear CellPersonsPriceProteomeReagentResearchResearch PersonnelResearch PriorityResourcesSIVStainsT cell responseT-Lymphocyte EpitopesTechnologyTestingTimeTuberculosisUnited States National Institutes of HealthViral GenomeVirusWorkZika Virusco-infectiondata submissionenzyme linked immunospot assayhigh rewardhigh riskimprovedin silicoinnovationnew technologynovelpathogenprogramsresponsescreening
中文摘要
项目摘要/摘要
治疗人类免疫缺陷病毒(HIV)和减轻艾滋病毒/艾滋病影响的研究
结核病合并感染是NIH的优先事项。这两个研究领域都依赖于对猕猴的研究
实验感染猴免疫缺陷病毒(SIV)。诱导有效CD8的干预措施
猕猴对SIV和结核分枝杆菌(MTB)的T细胞反应正在积极发展。
门槛。这些研究受到SIV和MTB特异性CD8 T细胞反应受限的限制
由常见的猕猴主要组织相容性复合体(MHC)I类等位基因决定。
我们在之前的资助期间就开始解决这个问题,并确定了数十种新颖的CD8
SIV和MTB中的T细胞反应以及寨卡病毒、埃博拉病毒和流感中的T细胞反应。我们也意识到
传统的T细胞表位发现和表征是笨拙、缓慢和繁琐的。
因此,我们证明了MHC-I类分子与数百万个多肽的结合是可以被测量的。
为定义CD8T细胞表位提供了一种变革性的、极其快速的方法。
这项竞争性修订的目的是使用这项新技术来定义CD8T细胞表位
SIV和MTB受16个常见的猕猴MHC I类等位基因的限制。
具体来说,我们会:
目的1:鉴定16种常见猕猴MHC所限制的SIV和MTB CD8 T细胞应答
I类分子。我们将评估每个8-、9-、10和11-肽在亲
目前在Genbank和MTB Erdman株中的每个SIV和SIV基因组的基因组使用UL-1
高密度多肽阵列。MHC:将为实验中的反应生产多肽四聚体
已验证。
目的2:通过确定16个常见的MHC I类分子的多肽结合基序
CD8T细胞表位每个残基的氨基酸替换对肽的影响
有约束力的。多肽结合基序可用于改进计算机预测的算法。
MHC:多肽结合。
这项研究的研究资源将通过实时提供给研究界
共享多肽阵列数据,在免疫中沉积实验验证的CD8T细胞表位
表位数据库,以及通过NIH四聚体核心设施的MHC:多肽四聚体的分布。
此外,使用超高密度多肽阵列对CD8T细胞表位的定义是可推广的
可以彻底改变包括人类在内的所有物种中病原体特异性表位的鉴定。
英文摘要
Project Summary/Abstract
Research towards a cure for human immunodeficiency virus (HIV) and mitigation of the impact of HIV/
tuberculosis co-infections are NIH priorities. Both research areas rely on studies of macaque monkeys
experimentally infected with simian immunodeficiency virus (SIV). Interventions to elicit effective CD8+
T cell responses to SIV and Mycobacterium tuberculosis (MTb) in macaques are under active develop-
ment. These studies are limited by the dearth of SIV- and MTb-specific CD8+ T cell responses restricted
by common macaque major histocompatibility complex (MHC) class I alleles.
We began addressing this problem in the previous grant period and identified dozens of novel CD8+
T cell responses in SIV and MTb, as well as in Zika virus, ebolavirus, and influenza. We also realized
that conventional T cell epitope discovery and characterization is unwieldy, slow, and cumbersome.
Consequently, we demonstrated that MHC class I binding to millions of peptides can be measured si-
multaneously, providing a transformative and extremely rapid way to define CD8+ T cell epitopes.
The purpose of this competitive revision is to use this new technology to define CD8+ T cell epitopes in
SIV and MTb restricted by 16 common macaque MHC class I alleles.
Specifically, we will:
Aim 1: Identify SIV and MTb CD8+ T cell responses restricted by 16 common macaque MHC
class I molecules. We will assess peptide binding of each 8-, 9-, 10, and 11-mer peptide in the pro-
teomes of every SIV and SHIV genome currently in Genbank and the MTb Erdman strain using an ul-
tradense peptide array. MHC:peptide tetramers will be produced for responses that are experimentally
validated.
Aim 2: Define peptide binding motifs for the 16 common MHC class I molecules by determining
the impact of every amino acid substitution at each residue in CD8+ T cell epitopes on peptide
binding. The peptide binding motifs can be used to improve algorithms for in silico prediction of
MHC:peptide binding.
Research resources from this study will be made available to the research community through real-time
sharing of peptide array data, deposition of experimentally validated CD8+ T cell epitopes in the Immune
Epitope Database, and distribution of MHC:peptide tetramers through the NIH Tetramer Core Facility.
Furthermore, the definition of CD8+ T cell epitopes using ultradense peptide arrays is generalizable and
could revolutionize the identification of pathogen-specific epitopes in all species, including humans.
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