SARS-CoV-2-reactive tissue-resident memory T cells in healthy and cancer subjects
健康和癌症受试者中的 SARS-CoV-2 反应性组织驻留记忆 T 细胞
基本信息
- 批准号:10222422
- 负责人:
- 金额:$ 144.63万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-30 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:2019-nCoVAddressAntibodiesAntibody ResponseAntiviral AgentsApoptoticAutomobile DrivingB-LymphocytesBioinformaticsBiological AssayBloodCD4 Positive T LymphocytesCD8-Positive T-LymphocytesCD8B1 geneCOVID-19COVID-19 pandemicCancer PatientCancer Research ProjectCellsCellular ImmunityClinicalCollaborationsCytomegalovirusDNA VirusesDiseaseEconomicsFrequenciesFruitFutureGenerationsGenomicsHead CancerHuman Herpesvirus 4Human PapillomavirusImmuneImmunityImmunologyIndividualInfectionInflammatoryInfluenzaLarynxLinkMalignant NeoplasmsMalignant neoplasm of lungMeasuresMemoryModelingMorbidity - disease rateMucous MembraneNF-kappa BNatureNeck CancerNoseOncogenic VirusesOperative Surgical ProceduresOropharyngealOutcomePathway interactionsPatientsPeptidesPeripheral Blood Mononuclear CellPropertyRNA VirusesReportingResearch Project GrantsRespiratory SystemScienceSerologicalSignal TransductionSiteSpecimenStructure of parenchyma of lungT cell responseT memory cellT-LymphocyteTimeTissuesTranscriptTumor TissueVaccinesVirusVirus Diseasesanti-PD1 therapyanti-tumor immune responseantigen-specific T cellsbasecancer cellcellular targetingcohortcoronavirus diseasecross reactivitycytotoxicityexhaustexperiencehuman coronavirusinsightmortalitymouse modelmucosal sitenovel therapeuticspandemic diseasepatient subsetsrecruitrespiratoryresponsesingle-cell RNA sequencingtranscriptometranscriptomicstumortumor immunology
项目摘要
PROJECT SUMMARY
This multi-PI proposal titled “SARS-CoV-2-reactive
subjects” is written in response to ‘RFA-CA-20-039’ -
tissue-resident memory T cells in healthy and cancer
Research projects in SARS-CoV-2 Serological Sciences.
Recent studies have shown that antibody responses to SARS-CoV-2 infection decline rapidly over time, implying
a lack of durable protective humoral (B cell) immunity. Whether this is also true for cellular immunity (e.g., T
cells) is poorly understood. It is well established that CD8+ TRM cells are the first line of defense in viral infections
at mucosal/barrier sites. They are also known to protect hosts against homologous or heterologous re-infections.
Our group was the first to show that TRM cells are pivotal players in driving effective anti-tumor immune responses
in lung cancer, and that TRM cells are the primary cellular targets of anti-PD1 therapies. These key findings were
possible because of the ongoing collaboration between Dr. Vijayanand, Dr. Ay, and Dr. Ottensmeier (Multi-PI).
This team brings together experience in T cell immunology, single-cell genomics, bioinformatics, and cancer
immunology. Our Multi-PI team has recently performed the first and largest single-cell RNA-seq and TCR-seq
analysis of SARS-CoV-2-reactive CD8+ and CD4+ T cells (~300,000 single-cells) from COVID-19 patients. Here,
to understand TRM responses to SARS-CoV-2, we will capitalize on a cohort of cancer (n=100) and non-cancer
(n=100) patients, who will provide excess airway (nasal, oropharynx, larynx), lung and tumor tissue specimens
obtained during routine surgery. In AIM 1, we will define the properties of SARS-CoV-2 reactive TRM cells from
cancer and non-cancer patients with or without previous SARS-CoV-2 infection. We will perform combined
single-cell RNA-seq and TCR-seq analysis of CD8+ TRM cells in the airways (nasal, oropharynx), lung, and tumor
tissue. In parallel, by stimulating PBMCs with SARS-CoV-2 peptide pool, we will determine the transcriptomic
and TCR sequence of SARS-CoV-2 reactive T cells. We will utilize this TCR sequence information to define the
numbers and properties of SARS-CoV-2 reactive-TRM cells in mucosal and tumor tissues. Recent studies in non-
exposed individuals (pre-COVID-19 pandemic) indicate pre-existing, circulating CD8+ T cells, with human
coronavirus cross-reactivity. Here, we will measure the quantity and quality of pre-existing SARS-CoV-2 cross-
reactive TRM responses in subjects without clinical or serological evidence of previous SARS-CoV-2 infection. In
AIM 2, we will assess the impact of SARS-CoV-2 infection on anti-tumor and other anti-viral TRM responses. We
will stimulate matched PBMCs (as above) with peptide pools targeting (i) common respiratory RNA viruses
(influenza (FLU), RSV), (ii) persistent DNA viruses (CMV, EBV), and (iii) a tumor-driving virus (HPV) to define
the TCR sequence of the respective virus-specific and tumor(HPV)-specific CD8+ T cells; we will utilize the TCR
information to determine frequency and properties of other virus/tumor-reactive TRM cells in mucosal and tumor-
tissue cells.
项目摘要
这个多PI的建议,标题为“ SARS-COV-2反应性
主题是按照“ RFA-CA-20-039”的回应而写的。
健康和癌症中的组织驻留记忆T细胞
SARS-COV-2血清学科学的研究项目。
最近的研究表明,随着时间的流逝,对SARS-COV-2感染的抗体反应迅速下降,这意味着
缺乏耐用的受保护的体液(B细胞)免疫史。这是否对细胞免疫史也是如此(例如,t
细胞)知之甚少。众所周知,CD8+ TRM细胞是病毒感染的第一道防线
在粘膜/障碍物。他们还众所周知,它们可以保护宿主免受同源或异源重新感染。
我们的小组是第一个表明TRM细胞是推动有效抗肿瘤免疫反应的关键参与者
在肺癌中,TRM细胞是抗PD1疗法的主要细胞靶标。这些关键发现是
由于Vijayanand博士,AY博士和Ottensmeier博士(Multi-Pi)之间的持续合作。
该团队汇集了T细胞免疫学,单细胞基因组学,生物信息学和癌症的经验
免疫学。我们的Multi-Pi团队最近执行了第一台,最大的单细胞RNA-Seq和TCR-Seq
从199例患者中分析SARS-COV-2反应性CD8+和CD4+ T细胞(约300,000个单细胞)。这里,
要了解TRM对SARS-COV-2的响应,我们将利用癌症的队列(n = 100)和非关注者
(n = 100)将提供超过气道的患者(鼻,口咽,喉),肺和肿瘤组织标本
在常规手术期间获得。在AIM 1中,我们将从
患有或没有先前的SARS-COV-2感染的癌症和非癌症患者。我们将表演合并
气道中CD8+ TRM细胞的单细胞RNA-SEQ和TCR-SEQ分析(鼻,口咽),肺和肿瘤
组织。同时,通过使用SARS-COV-2辣椒池刺激PBMC,我们将确定转录组
SARS-COV-2反应性T细胞的TCR序列。我们将利用此TCR序列信息来定义
粘膜和肿瘤组织中SARS-COV-2反应性TRM细胞的数量和特性。最近关于非 - 的研究
暴露的个体(前CoVID-19大流行)表明先前存在的,循环的CD8+ T细胞,人类
冠状病毒交叉反应性。在这里,我们将衡量现有的SARS-COV-2交叉的数量和质量
没有先前SARS-COV-2感染的临床或血清学证据的受试者中的反应性TRM反应。在
AIM 2,我们将评估SARS-COV-2感染对抗肿瘤和其他抗病毒TRM反应的影响。我们
将用靶向的胡椒池刺激匹配的PBMC(如上所述)(i)常见的呼吸道RNA病毒
(流感(流感),RSV),(ii)持续的DNA病毒(CMV,EBV)和(iii)肿瘤驱动病毒(HPV)定义
各个病毒特异性和肿瘤(HPV)特异性CD8+ T细胞的TCR序列;我们将利用TCR
信息以确定粘膜和肿瘤中其他病毒/肿瘤反应性TRM细胞的频率和特性
组织细胞。
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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Ferhat Ay其他文献
Ferhat Ay的其他文献
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{{ truncateString('Ferhat Ay', 18)}}的其他基金
Using Common Fund datasets for prioritization of disease-associated genetic variants
使用共同基金数据集对与疾病相关的遗传变异进行优先排序
- 批准号:
10585864 - 财政年份:2022
- 资助金额:
$ 144.63万 - 项目类别:
SARS-CoV-2-reactive tissue-resident memory T cells in healthy and cancer subjects
健康和癌症受试者中的 SARS-CoV-2 反应性组织驻留记忆 T 细胞
- 批准号:
10855009 - 财政年份:2020
- 资助金额:
$ 144.63万 - 项目类别:
SARS-CoV-2-reactive tissue-resident memory T cells in healthy and cancer subjects
健康和癌症受试者中的 SARS-CoV-2 反应性组织驻留记忆 T 细胞
- 批准号:
10688355 - 财政年份:2020
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Defining interaction quantitative trait loci (iQTLs) in the human genome
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9576241 - 财政年份:2018
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Studying the function of human genetic variation in the light of 3D genome organization
根据 3D 基因组组织研究人类遗传变异的功能
- 批准号:
10624054 - 财政年份:2018
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10226063 - 财政年份:2018
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Defining interaction quantitative trait loci (iQTLs) in the human genome
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