Identification of sialic acid-degrading microbiome proteins during colitis
结肠炎期间唾液酸降解微生物组蛋白的鉴定
基本信息
- 批准号:9581499
- 负责人:
- 金额:$ 29.03万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-05-15 至 2020-04-30
- 项目状态:已结题
- 来源:
- 关键词:AffinityAlgorithmsAnimal ModelBacteriaBacterial ProteinsBindingBinding ProteinsBioinformaticsBiologicalC57BL/6 MouseCarbohydratesCaspaseCellsChemicalsChronicClostridium difficileColitisCollaborationsCollectionControl GroupsCoupledCrohn&aposs diseaseCytomegalovirusDataDatabasesDevelopmentDistalEnzymesEpithelial CellsEpitheliumExcisionFemaleGeneticGoalsHarvestHomeostasisHumanHuman MicrobiomeImmuneImmune responseImmunocompromised HostIn VitroIndividualInfiltrationInflammationInflammatory Bowel DiseasesInflammatory disease of the intestineIntestinal ContentIntestinal MucosaIntestinesLabelLaboratoriesLamina PropriaLectinLibrariesLiquid ChromatographyMapsMass Spectrum AnalysisMetabolismMethodologyMethodsMicrobeModificationMucinsMucous body substanceMusN-Acetylneuraminic AcidNeuraminidaseParentsPathogenicityPatientsPolysaccharidesProteinsRag1 MouseRoleSamplingSialic AcidsSpecificitySystemT cell therapyTestingTimeTransferaseUlcerative ColitisVirusadaptive immune responseangiogenesisbasebody cavitycohortcommensal bacteriacommensal microbescrosslinkgut microbesgut microbiomehost-microbe interactionshuman tissuein vivoinnovationmetaproteomicsmicrobialmicrobiomemouse modelmucin core proteinnovelprotein functiontandem mass spectrometry
项目摘要
ABSTRACT
Our goal is to develop and apply chemical biological methodologies that will assist in the identification and
characterization of gut microbiome enzymes responsible for the degradation of the gut mucus. The intestinal
tract harbors an enormous and diverse collection of commensal bacteria, termed the gut microbiome, that are
essential for metabolism, immune development and homeostasis, and epithelial cell angiogenesis. In healthy
individuals, the majority of microbes are held at bay in the gut lumen by the steady secretion of mucus, which
primarily consists of crosslinked and heavily O-glycosylated mucin proteins. In inflammatory bowel diseases
(IBD), including ulcerative colitis and Crohn’s disease, the gut microbes manage to infiltrate the host intestinal
mucin protein core, epithelium, and lamina propria. The resulting recognition of microbial constituents by the
host’s innate and adaptive immune responses drives the intestinal inflammation that is associated with all forms
of IBD. We posit that progression from a healthy state to colitis commences via microbial erosion of the mucus
layer and that colitis-associated gut microbes, including pathogenic and infectious bacteria and viruses (i.e., C.
difficile, cytomegalovirus), harbor aberrant protein functionalities that are far more adept at host mucus layer
degradation than microbes found in healthy individuals. Our hypothesis is supported by recent discoveries that,
in murine models of colitis, elevated levels of sialic acid-degrading enzymatic activity are found. In this proposal,
we will focus on elucidating microbial proteins that recognize and degrade sialic acid, an abundant and the most
terminally expressed carbohydrate on mucus glycans. We believe that, while the many layers of mucus glycans
beneath sialic acid aid in microbial defense in healthy individuals, removal of sialic acid is the first overall step in
microbial infiltration of the gut. To test this hypothesis, we have developed UV-photoactivatable sialic acid-based
chemical probes that irreversibly label all host and bacterial proteins from microbiome samples capable of
binding sialic acid (i.e., sialidases, lectins, transporters, transferases). All probe-bound proteins are subjected to
affinity-based enrichment and subsequent protein identification and quantitation with mass spectrometry (MS).
Here, we will employ our sialic acid probes and innovative methods to a well-established adoptive T cell transfer
murine model of chronic colitis and directly compare our metaproteomics results to those obtained from control
mice raised under identical conditions. Differences observed between healthy and colitic mice may implicate
which enzymes are critical for human IBD and assist in achieving our long-term goal of identifying microbial
proteins that promote colitis. Importantly, we are well qualified to accomplish our proposed aim, as the Wolan
laboratory spearheaded the development and application of chemical probes and MS-based metaproteomics to
find the bacterial cysteine proteases that are overly abundant in colitic microbiomes. The probes, methods, and
results generated here will lead to exciting new opportunities for studying host-microbe interactions.
摘要
我们的目标是开发和应用化学生物学方法,这将有助于识别和
本发明的目的在于表征负责消化道粘液的消化道微生物组酶。肠
肠道内有大量多样的肠道细菌,称为肠道微生物组,
代谢、免疫发育和体内平衡以及上皮细胞血管生成所必需的。健康
对于个体来说,大多数微生物都被粘液的稳定分泌所控制,
主要由交联和高度O-糖基化的粘蛋白组成。在炎症性肠病中
(IBD)包括溃疡性结肠炎和克罗恩病,肠道微生物设法渗入宿主肠道,
粘蛋白核心、上皮和固有层。由此产生的微生物成分的识别,
宿主的先天性和适应性免疫反应驱动与所有形式相关的肠道炎症
IBD。我们认为从健康状态到结肠炎的进展是通过粘液的微生物侵蚀开始的
层和结肠炎相关肠道微生物,包括致病性和感染性细菌和病毒(即,C.
艰难梭菌,巨细胞病毒),具有异常的蛋白质功能,更善于在宿主粘液层
比健康个体中发现的微生物降解。我们的假设得到了最近发现的支持,
在结肠炎的鼠模型中,发现唾液酸降解酶活性水平升高。在该提议中,
我们将集中于阐明微生物蛋白质,识别和降解唾液酸,一个丰富的和最
粘液聚糖上末端表达的碳水化合物。我们认为,虽然粘液聚糖的许多层
在健康个体中,唾液酸有助于微生物防御的下面,唾液酸的去除是
肠道的微生物渗透为了验证这一假设,我们开发了基于UV-光活化唾液酸的
化学探针,不可逆地标记来自微生物组样品的所有宿主和细菌蛋白,
结合唾液酸(即,唾液酸酶、凝集素、转运蛋白、转移酶)。所有探针结合的蛋白质都经历
基于亲和性的富集和随后的蛋白质鉴定以及用质谱法(MS)定量。
在这里,我们将采用我们的唾液酸探针和创新的方法,以一个完善的过继性T细胞转移
慢性结肠炎小鼠模型,并直接比较我们的元蛋白质组学结果与对照组的结果
在相同条件下饲养的小鼠。在健康小鼠和结肠炎小鼠之间观察到的差异可能涉及
哪些酶对人类IBD至关重要,并有助于实现我们识别微生物的长期目标
促进结肠炎的蛋白质。重要的是,我们完全有资格实现我们提出的目标,因为Wolan
实验室率先开发和应用化学探针和基于MS的元蛋白质组学,
找到大肠菌群中大量存在的细菌半胱氨酸蛋白酶。所述探针、方法和
这里产生的结果将为研究宿主-微生物相互作用带来令人兴奋的新机会。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Dennis William Wolan其他文献
Dennis William Wolan的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Dennis William Wolan', 18)}}的其他基金
Non-canonical roles of the apoptotic caspases in T-cell activation
凋亡 caspase 在 T 细胞激活中的非典型作用
- 批准号:
8889850 - 财政年份:2015
- 资助金额:
$ 29.03万 - 项目类别:
Identification of microbiome proteins associated with IBD
鉴定与 IBD 相关的微生物组蛋白
- 批准号:
8911799 - 财政年份:2014
- 资助金额:
$ 29.03万 - 项目类别:
Activation of procaspases with small molecules
用小分子激活天冬氨酸蛋白酶原
- 批准号:
7153199 - 财政年份:2006
- 资助金额:
$ 29.03万 - 项目类别:
Activation of procaspases with small molecules
用小分子激活天冬氨酸蛋白酶原
- 批准号:
7465499 - 财政年份:2006
- 资助金额:
$ 29.03万 - 项目类别:
Activation of procaspases with small molecules
用小分子激活天冬氨酸蛋白酶原
- 批准号:
7277331 - 财政年份:2006
- 资助金额:
$ 29.03万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 29.03万 - 项目类别:
Research Grant














{{item.name}}会员




