Project 3: Protein Design for Selective Interference with LPA Signaling in Colon Cancer
项目 3:选择性干扰结肠癌 LPA 信号传导的蛋白质设计
基本信息
- 批准号:8813298
- 负责人:
- 金额:$ 27.42万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:AddressAffinityAmericanAttenuatedBindingBiological AssayBiomedical ResearchCause of DeathCell physiologyCellsCessation of lifeColon CarcinomaColorectal CancerComplexComputing MethodologiesDataDevelopmentDiseaseDisease PathwayEdg4 ProteinEnsureEnvironmentEventFamilyFluorescenceFundingGoalsHealthIn VitroInstitutesLifeLinkMalignant NeoplasmsMass Spectrum AnalysisMediatingMentorsMitogensNeoplasm MetastasisOncogenicOutcomePatientsPeptidesPositioning AttributeProtein EngineeringProtein FamilyProteinsProteomicsPublishingReagentRecruitment ActivityRelapseResearchScaffolding ProteinSignal PathwaySignal TransductionSpecificityTechniquesTechnologyTertiary Protein StructureTestingTherapeuticUnited StatesValidationWorkbasebiophysical propertiescancer cellcareercolon tumorigenesisdesignfunctional outcomesinhibitor/antagonistlysophosphatidic acidmembermigrationnovelprotein purificationresearch and developmentresearch studysodium-hydrogen exchanger regulatory factortargeted agenttherapeutic developmenttherapeutic targettool
项目摘要
Colorectal cancer was the third-most common cause of deaths from cancer in the United States in 2013. This
disease claims over 50,000 lives and afflicts over 140,000 people annually in the US, underscoring a clear and
urgent need for better control of this incurable malignancy. The goal of this study is to attenuate oncogenic
activities in colon cancer cells by inhibiting a key proliferatory signaling pathway mediated by the powerful
mitogen lysophosphatidic acid (LPA). In colon cancer, LPA signals through the LPA2 receptor, which recruits to
its C-terminus a scaffolding protein NHERF-2. This recruitment occurs though a PDZ domain of NHERF-2
(N2P2)-a ubiquitous protein module that recognizes C-termini of partner proteins. Our goal is to inhibit the
NHERF-2:LPA2 complex, and with it LPA signaling, using designed peptides that associate tightly with N2P2.
Complicating this approach is the recent discovery that another PDZ-containing protein, MAGI-3, competes
with NHERF-2 for binding to LPA2 and alters the functional outcome. Binding of NHERF-2 to LPA2 increases
oncogenic signaling, while binding of MAGI-3 (via its PDZ domain M3P6) decreases it, underscoring the need
for selectivity in N2P2 targeting. We are uniquely capable of providing such selectivity using our computational
technologies that enable us to target a single member in a family of domains. Thus, our central hypothesis is
that peptides designed to inhibit N2P2 will down-regulate oncogenic LPA signaling and that our computational
methodology will uncover efficacious inhibitors with high N2P2 affinity and excellent selectivity against M3P6
and other PDZ domains, in vitro and in cells. The study will test our hypothesis through three specific aims.
Aim 1 will establish that peptides already designed to target N2P2 and not M3P6 down-regulate LPA signaling
in colon cancer cells. Aim 2 will test the hypothesis that our computational technology can produce peptides
selective for N2P2 across the PDZome by designing and biophysically characterizing such peptides. Finally,
Aim 3 will use a proteomic/mass-spectrometry assay along with fluorescence correlation techniques to quantify
the selectivity of our peptides within cells and link biophysical parameters with function. We expect to 1)
validate N2P2 targeting as a viable strategy for reducing LPA oncogenicity, 2) establish the functional
relevance of selectivity against M3P6 (Aim 1) and other PDZ domains (Aims 2, 3), and 3) produce reagents
suitable to initiate the development of colon cancer therapeutics. Our goals fit well with the overall theme of
iTarget centered on biomolecular targeting. Being a part of the iTarget will accelerate our work significantly.
Interactions with Drs. Kettenbach and McLellan will provide critical guidance in our proteomic/MS experiments
and structural characterizations, respectively. Strong mentoring by Drs. Madden and Gerber on career and
research matters will ensure high competitiveness for external funding. VMIC and MTC cores will be invaluable
for in-cell and biophysical experiments (VMIC) and for expression and purification of proteins (MTC). Finally,
iTarget will provide for a stimulating intellectual environment in which our research will thrive.
结直肠癌是2013年美国癌症死亡的第三大常见原因。这
在美国,这种疾病每年夺去5万多人的生命,折磨着14万多人,这突出了一个明确的,
迫切需要更好地控制这种无法治愈的恶性肿瘤。本研究的目的是减少致癌性
活性在结肠癌细胞通过抑制一个关键的增殖信号通路介导的强大的
丝裂原溶血磷脂酸(LPA)。在结肠癌中,LPA通过LPA 2受体发出信号,LPA 2受体招募,
其C-末端是支架蛋白NHERF-2。这种募集通过NHERF-2的PDZ结构域发生
(N2 P2)-一种普遍存在的蛋白质模块,识别伴侣蛋白的C-末端。我们的目标是抑制
NHERF-2:LPA 2复合物,以及与其LPA信号传导,使用与N2 P2紧密结合的设计肽。
使这种方法复杂化的是,最近发现另一种含有PDZ的蛋白质MAGI-3与PDZ竞争。
与NHERF-2结合LPA 2并改变功能结果。NHERF-2与LPA 2的结合增加
致癌信号传导,而MAGI-3的结合(通过其PDZ结构域M3 P6)降低了它,强调了需要
用于N2 P2靶向的选择性。我们是唯一能够提供这种选择性使用我们的计算
这些技术使我们能够针对域家族中的单个成员。因此,我们的中心假设是
设计用于抑制N2 P2的肽将下调致癌LPA信号传导,
该方法将揭示具有高N2 P2亲和力和对M3 P6的优异选择性的有效抑制剂
和其他PDZ结构域。这项研究将通过三个具体目标来检验我们的假设。
目的1将确定已经设计为靶向N2 P2而非M3 P6的肽下调LPA信号传导
在结肠癌细胞中。目标2将测试我们的计算技术可以产生肽的假设
通过设计和生物药理学表征这样的肽,在整个PDZome中对N2 P2具有选择性。最后,
目标3将使用蛋白质组学/质谱分析沿着荧光相关技术来定量
我们的肽在细胞内的选择性,并将生物物理参数与功能联系起来。我们希望1)
验证N2 P2靶向作为降低LPA致癌性的可行策略,2)建立功能性
针对M3 P6(目标1)和其它PDZ结构域(目标2、3)的选择性的相关性,和3)产生试剂
适合于启动结肠癌治疗剂的开发。我们的目标与总的主题非常吻合,
iTarget以生物分子靶向为中心。成为iTarget的一部分将大大加快我们的工作。
与凯滕巴赫博士和麦克莱伦博士的互动将为我们的蛋白质组学/MS实验提供重要指导
和结构特征。Madden博士和Gerber博士在职业生涯和
研究事项将确保对外部资金的高度竞争力。VMIC和MTC核心将是非常宝贵的
用于细胞内和生物物理实验(VMIC)以及蛋白质的表达和纯化(MTC)。最后,
iTarget将为我们的研究提供一个令人兴奋的智力环境。
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 }}
Gevorg Grigoryan其他文献
Gevorg Grigoryan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('Gevorg Grigoryan', 18)}}的其他基金
Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
- 批准号:
10326369 - 财政年份:2020
- 资助金额:
$ 27.42万 - 项目类别:
Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
- 批准号:
9887271 - 财政年份:2020
- 资助金额:
$ 27.42万 - 项目类别:
Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
- 批准号:
10079500 - 财政年份:2020
- 资助金额:
$ 27.42万 - 项目类别:
Computational design of novel protein binders based on structure mining and learning from data
基于结构挖掘和数据学习的新型蛋白质结合剂的计算设计
- 批准号:
10541909 - 财政年份:2020
- 资助金额:
$ 27.42万 - 项目类别:
Understanding transmembrane helix interaction on the structural level
在结构水平上理解跨膜螺旋相互作用
- 批准号:
7886793 - 财政年份:2009
- 资助金额:
$ 27.42万 - 项目类别:
Understanding transmembrane helix interaction on the structural level
在结构水平上理解跨膜螺旋相互作用
- 批准号:
7677038 - 财政年份:2009
- 资助金额:
$ 27.42万 - 项目类别:
相似海外基金
Construction of affinity sensors using high-speed oscillation of nanomaterials
利用纳米材料高速振荡构建亲和传感器
- 批准号:
23H01982 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Affinity evaluation for development of polymer nanocomposites with high thermal conductivity and interfacial molecular design
高导热率聚合物纳米复合材料开发和界面分子设计的亲和力评估
- 批准号:
23KJ0116 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Grant-in-Aid for JSPS Fellows
Development of High-Affinity and Selective Ligands as a Pharmacological Tool for the Dopamine D4 Receptor (D4R) Subtype Variants
开发高亲和力和选择性配体作为多巴胺 D4 受体 (D4R) 亚型变体的药理学工具
- 批准号:
10682794 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Platform for the High Throughput Generation and Validation of Affinity Reagents
用于高通量生成和亲和试剂验证的平台
- 批准号:
10598276 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Collaborative Research: DESIGN: Co-creation of affinity groups to facilitate diverse & inclusive ornithological societies
合作研究:设计:共同创建亲和团体以促进多元化
- 批准号:
2233343 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Standard Grant
Collaborative Research: DESIGN: Co-creation of affinity groups to facilitate diverse & inclusive ornithological societies
合作研究:设计:共同创建亲和团体以促进多元化
- 批准号:
2233342 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Standard Grant
Molecular mechanisms underlying high-affinity and isotype switched antibody responses
高亲和力和同种型转换抗体反应的分子机制
- 批准号:
479363 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Operating Grants
Deconstructed T cell antigen recognition: Separation of affinity from bond lifetime
解构 T 细胞抗原识别:亲和力与键寿命的分离
- 批准号:
10681989 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
CAREER: Engineered Affinity-Based Biomaterials for Harnessing the Stem Cell Secretome
职业:基于亲和力的工程生物材料用于利用干细胞分泌组
- 批准号:
2237240 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Continuing Grant
ADVANCE Partnership: Leveraging Intersectionality and Engineering Affinity groups in Industrial Engineering and Operations Research (LINEAGE)
ADVANCE 合作伙伴关系:利用工业工程和运筹学 (LINEAGE) 领域的交叉性和工程亲和力团体
- 批准号:
2305592 - 财政年份:2023
- 资助金额:
$ 27.42万 - 项目类别:
Continuing Grant














{{item.name}}会员




