Functional genomics of hypothetical genes in Gram-positive bacteria
革兰氏阳性菌假设基因的功能基因组学
基本信息
- 批准号:10463540
- 负责人:
- 金额:$ 11.23万
- 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:2021-08-06 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:Advisory CommitteesAftercareAnimal ModelAnimalsAntibiotic ResistanceAntibioticsArchitectureArginineAutomobile DrivingBacillus subtilisBacteremiaBacteriaBacterial GenesBacterial PhysiologyBacterial ProteinsBacteriologyBasic ScienceBiological ModelsBiomedical ResearchCRISPR interferenceCollaborationsCommunitiesComplementComputational BiologyComputing MethodologiesDNAData ScienceDentalDental cariesDoseEndocarditisEnterococcusEnterococcus faecalisEscherichia coliExposure toGene ClusterGenesGeneticGenomic approachGenomicsGoalsGram-Positive BacteriaGrowthGuiltIn VitroInfectionKnowledgeLibrariesLiquid substanceMeasuresMedicalMentorsMetabolismMethodologyMethodsMicrobeMicrobial BiofilmsMicrobiologyMinnesotaModelingMolecularNatureOutcomePathogenesisPathway interactionsPharmaceutical PreparationsPhasePhenotypePheromonePolysaccharidesProductionPublic HealthResearchResistanceResourcesShapesStreptococcusStreptococcus mutansSystemTechniquesTechnologyTestingTrainingUniversitiesVancomycin ResistanceVirulenceWorkantagonistbacterial communitybacterial geneticscareercareer developmentchemical geneticscollaborative environmentcombatcommensal bacteriadark matterdental agentdrug resistant pathogenextracellularfitnessfunctional genomicsgene discoverygene functiongene productgenome-widein vitro Modelin vivointerestlarge datasetsmicrobialmicrobial communitymicrobiomemutantnovelnovel strategiesoral pathogenpathogenpathogenic bacteriaphenotypic dataprofessional atmosphereprofessorresponsetenure tracktooltransposon sequencingveterinary science
项目摘要
Project Summary/Abstract
Approximately 30% of all bacterial gene products are microbial “dark matter” and have no characterized
function. Developing methods for describing gene function in commensal and pathogenic bacteria will
advance the fields of fundamental bacteriology and microbial pathogenesis, driving new approaches to combat
the rise of antibiotic resistance.
The short-term training goal of this proposal is to provide the candidate with mentoring and training in
computational biology and data science. The long-term objectives are to establish robust computational and
genetic tools for functional analysis of uncharacterized bacterial genes. These will be applied to established,
tractable experimental systems to make mechanistic discoveries about uncharacterized loci involved in biofilm
formation and polymicrobial interactions. For career development, the candidate will undertake a
comprehensive training plan with an outstanding mentor, co-mentor, and advisory committee.
Aim 1 will use chemical genetics to identify hypothetical gene function in the commensal and
pathogenic bacterium Enterococcus faecalis OG1RF. In Aim 2, the candidate will develop chemical genetics
methodology to determine how pre-formed biofilms respond after treatment with bioactive compounds such as
antibiotics. In Aim 3, these functional genomics approaches will be expanded to study interactions between
OG1RF and the oral pathogen Streptococcus mutans, as the candidate determined that S. mutans kills
OG1RF and a vancomycin-resistant isolate of E. faecalis through an unknown mechanism. Together, this
research will generate genome-scale descriptions of gene function in medically relevant bacteria and define
mechanisms by which novel factors contribute to biofilm formation and interactions between microbes.
The University of Minnesota provides an ideal institutional environment for this work. This highly
collaborative environment has diverse microbiology and computational biology research groups from
biomedical, dental, veterinary, and basic science backgrounds. U Minnesota also offers exceptional career
development opportunities, and the U Minnesota Genomics Center is a state-of-the-art facility with which the
candidate has already established a productive collaboration.
Together, the proposed training and research will be a platform from which the candidate will launch an
independent research career combining functional genomics with in vitro model systems to study hypothetical
gene function in diverse bacteria.
项目总结/摘要
大约30%的细菌基因产物是微生物的“暗物质”,
功能开发描述细菌和病原菌中基因功能的方法将
推进基础细菌学和微生物致病机理领域,推动新的防治方法
抗生素耐药性的上升。
本建议书的短期培训目标是为候选人提供以下方面的指导和培训:
计算生物学和数据科学。长期目标是建立强大的计算和
用于未表征细菌基因的功能分析的遗传工具。这些将适用于已建立的,
易于处理的实验系统,以发现生物膜中涉及的未表征位点的机制
形成和多微生物相互作用。对于职业发展,候选人将承担
全面的培训计划,有一个杰出的导师,共同导师和咨询委员会。
目标1将使用化学遗传学来确定假设的基因功能,
病原菌粪肠球菌OG 1 RF。在目标2中,候选人将开发化学遗传学
确定预形成的生物膜在用生物活性化合物处理后如何反应的方法,
抗生素在目标3中,这些功能基因组学方法将扩展到研究
OG 1 RF和口腔致病菌变形链球菌(Streptococcus mutans)作为候选菌株,确定S.变种人杀死
OG 1 RF和万古霉素耐药的E.通过一种未知的机制被排泄出来在一起,这
研究将产生医学相关细菌中基因功能的基因组规模描述,并定义
新的因素有助于生物膜形成和微生物之间的相互作用的机制。
明尼苏达大学为这项工作提供了理想的机构环境。这种高度
协作环境有不同的微生物学和计算生物学研究小组,
生物医学、牙科、兽医和基础科学背景。U Minnesota还提供了卓越的职业生涯
发展机会,和U明尼苏达基因组学中心是一个国家的最先进的设施,
候选人已经建立了富有成效的合作关系。
拟议的培训和研究将共同成为候选人开展
将功能基因组学与体外模型系统相结合,研究假设的
基因在不同细菌中的功能。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Optimized replication of arrayed bacterial mutant libraries increase access to biological resources.
阵列细菌突变体文库的优化复制增加了生物资源的获取。
- DOI:10.1101/2023.04.25.537918
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Willett,JuliaLE;Barnes,AaronMT;Brunson,DebraN;Lecomte,Alexandre;Robertson,EthanB;Dunny,GaryM
- 通讯作者:Dunny,GaryM
Optimized Replication of Arrayed Bacterial Mutant Libraries Increases Access to Biological Resources.
- DOI:10.1128/spectrum.01693-23
- 发表时间:2023-08-17
- 期刊:
- 影响因子:3.7
- 作者:Willett, Julia L. E.;Barnes, Aaron M. T.;Brunson, Debra N. N.;Lecomte, Alexandre;Robertson, Ethan B. B.;Dunny, Gary M. M.
- 通讯作者:Dunny, Gary M. M.
{{
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 }}
Julia Laura Elizabeth Willett其他文献
Julia Laura Elizabeth Willett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('Julia Laura Elizabeth Willett', 18)}}的其他基金
Functional genomics of hypothetical genes in Gram-positive bacteria
革兰氏阳性菌假设基因的功能基因组学
- 批准号:
10790885 - 财政年份:2023
- 资助金额:
$ 11.23万 - 项目类别:
相似海外基金
Life outside institutions: histories of mental health aftercare 1900 - 1960
机构外的生活:1900 - 1960 年心理健康善后护理的历史
- 批准号:
DP240100640 - 财政年份:2024
- 资助金额:
$ 11.23万 - 项目类别:
Discovery Projects
Development of a program to promote psychological independence support in the aftercare of children's homes
制定一项计划,促进儿童之家善后护理中的心理独立支持
- 批准号:
23K01889 - 财政年份:2023
- 资助金额:
$ 11.23万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Integrating Smoking Cessation in Tattoo Aftercare
将戒烟融入纹身后护理中
- 批准号:
10452217 - 财政年份:2022
- 资助金额:
$ 11.23万 - 项目类别:
Integrating Smoking Cessation in Tattoo Aftercare
将戒烟融入纹身后护理中
- 批准号:
10670838 - 财政年份:2022
- 资助金额:
$ 11.23万 - 项目类别:
Aftercare for young people: A sociological study of resource opportunities
年轻人的善后护理:资源机会的社会学研究
- 批准号:
DP200100492 - 财政年份:2020
- 资助金额:
$ 11.23万 - 项目类别:
Discovery Projects
Creating a National Aftercare Strategy for Survivors of Pediatric Cancer
为小儿癌症幸存者制定国家善后护理策略
- 批准号:
407264 - 财政年份:2019
- 资助金额:
$ 11.23万 - 项目类别:
Operating Grants
Aftercare of green infrastructure: creating algorithm for resolving human-bird conflicts
绿色基础设施的善后工作:创建解决人鸟冲突的算法
- 批准号:
18K18240 - 财政年份:2018
- 资助金额:
$ 11.23万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Development of an aftercare model for children who have experienced invasive procedures
为经历过侵入性手术的儿童开发善后护理模型
- 批准号:
17K12379 - 财政年份:2017
- 资助金额:
$ 11.23万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Development of a Comprehensive Aftercare Program for children's self-reliance support facility
为儿童自力更生支持设施制定综合善后护理计划
- 批准号:
17K13937 - 财政年份:2017
- 资助金额:
$ 11.23万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
Project#2 Extending Treatment Effects Through an Adaptive Aftercare Intervention
项目
- 批准号:
8742767 - 财政年份:2014
- 资助金额:
$ 11.23万 - 项目类别: