Project 3: Protein Design for Selective Interference with LPA Signaling in Colon Cancer
Project 3: Protein Design for Selective Interference with LPA Signaling in Colon Cancer
批准号:
8813298
负责人:
Gevorg Grigoryan
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
项目状态:
未结题
起止时间:
至
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
中文摘要
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英文摘要
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.
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Computational design of novel protein binders based on structure mining and learning from data
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批准号:10326369
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项目类别:
-
资助金额:$35.44万
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财政年份:2020
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负责人:Gevorg Grigoryan
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依托单位:
Computational design of novel protein binders based on structure mining and learning from data
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批准号:9887271
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项目类别:
-
资助金额:$40.64万
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财政年份:2020
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负责人:Gevorg Grigoryan
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依托单位:
Computational design of novel protein binders based on structure mining and learning from data
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批准号:10079500
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项目类别:
-
资助金额:$35.42万
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财政年份:2020
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负责人:Gevorg Grigoryan
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依托单位:
Computational design of novel protein binders based on structure mining and learning from data
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批准号:10541909
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项目类别:
-
资助金额:$35.46万
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财政年份:2020
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负责人:Gevorg Grigoryan
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依托单位:
Understanding transmembrane helix interaction on the structural level
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批准号:7886793
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项目类别:
-
资助金额:$2.52万
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财政年份:2009
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负责人:Gevorg Grigoryan
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依托单位:
Understanding transmembrane helix interaction on the structural level
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批准号:7677038
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项目类别:
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资助金额:$4.72万
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财政年份:2009
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负责人:Gevorg Grigoryan
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依托单位:
海外基金