Cancer Genetics Program
Cancer Genetics Program
批准号:
9975722
负责人:
Adam Charles Siepel
金额:
$4.05万
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:
Animal ModelAwardBehavioralBioinformaticsBreastCancer CenterCancer Center Support GrantCancer DiagnosticsCancer ModelCell LineCellsChromatinChromosomesClinicalColonComplementComplexDataDevelopmentDiagnosisDiseaseDisease ProgressionEngineeringEpigenetic ProcessFamilyGene ExpressionGeneticGenetic PolymorphismGenetic studyGenomeGoalsHeterogeneityJournalsLaboratoriesLeadMalignant NeoplasmsMapsMeasuresMethylationModelingModificationMonitorMosaicismMouse Models of Human Cancer ConsortiumMusMutationNatureNucleotidesOrganPancreasPathway interactionsPatientsPatternPeer ReviewPositioning AttributePremalignant CellPrognostic MarkerProstatePublicationsPublishingRNA InterferenceRNA SplicingRecurrenceResearchResearch PersonnelResistanceRiskScienceSocietiesSourceStructureSystemTechniquesTechnologyThe Cancer Genome AtlasTherapeuticTumor SuppressionTumor Suppressor GenesUnited States National Institutes of HealthVariantcancer cellcancer geneticscancer genomecancer genomicscancer preventiondiagnostic biomarkerepigenomegenomic datahigh dimensionalityimprovedin vivoindividualized medicineinnovationinsertion/deletion mutationleukemia/lymphomaliquid biopsymachine learning methodmembermouse modelneoplastic cellnew therapeutic targetnext generationnovel diagnosticsnovel strategiespredictive markerprogramssingle cell analysissingle cell sequencingsingle moleculesmall hairpin RNAtechnology developmenttherapeutic targettranscriptometumortumor heterogeneitytumor progressiontumorigenesis
中文摘要
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英文摘要
Cancer Genetics Program - Project Summary/Abstract
Cancer is, at its most fundamental level, a disease of the genome. The central goal of the Cold Spring Harbor
Laboratory (CSHL) Cancer Genetics Program (CG) is to use information contained within the cancer genome
to improve our understanding and treatment of the disease. Our multifaceted approach includes mapping the
specific pathways involved in different forms of cancer, developing new diagnostic markers and therapeutic
strategies for cancer cells, and technology development for monitoring the progression of the disease.
Many members maintain strong research programs in the discovery of cancer-specific variations, ranging from
single nucleotide and small indel polymorphisms to copy number changes to modification of the epigenome. A
particular strength of the CG Program is in the analysis of the heterogeneity of tumors revealed through single
cell analysis. This heterogeneity is proving to be especially important in the clinical setting as it often
contributes to disease progression and therapy resistance. Complementary to the experimental strengths of
the Program, the Program is also expert at developing computational approaches to identify and model the
most important alterations. Drivers of tumor development are functionally validated, most often in the mouse,
using strategies, many developed within the CG Program, which encompass chromosome engineering (e.g.,
for copy number or structural variations), mosaic mouse models with expressed oncogenes and tumor
suppressors regulated in vivo with shRNAs. Completely unbiased functional approaches are also taken by
several groups to discover novel therapeutic targets using well characterized cultured cell lines, mosaic animal
models, and primary patient tumor grafts. Finally, several CG Program investigators approach the problem of
cancer prevention by looking at genetic and behavioral modifiers of risk.
The premier position of CG Program investigators in employing many of these strategies is recognized by their
lead involvement in national projects including the Mouse Models of Human Cancer Consortium (MMHCC), the
cancer genome atlas (TCGA), Stand Up to Cancer, the Leukemia and Lymphoma Society program projects,
the STARR consortium, as well as many similar awards from the NCI, the NIH, the DOD, and the NSF.
The CG Program has sixteen members. As of 8/1/15, CG members received $2.3M in direct support from NCI
and other peer-reviewed sources, and $0.8M in additional cancer-related support. Since 9/1/10, the CG
Program published 148 cancer-related articles, 49 (33%) involved multiple CCSG members; 29 (20%) intra-
programmatic, and 25 (17%) inter-programmatic. Forty CG publications appeared in the highest profile journals
(Science, Cell and Nature families). During the next five years, the CG Program will continue its tradition of
innovation and impact, but in a manner that will require continued support of the CSHL Cancer Center.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Evolutionary Human Genomics: Demography, Natural Selection, and Transcriptional Regulation
-
批准号:10360470
-
项目类别:
-
资助金额:$47.92万
-
财政年份:2018
-
负责人:Adam Charles Siepel
-
依托单位:
Evolutionary Human Genomics: Demography, Natural Selection, and Transcriptional Regulation
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批准号:10551645
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项目类别:
-
资助金额:$57.6万
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财政年份:2018
-
负责人:Adam Charles Siepel
-
依托单位:
Continued development and maintenance of the PHAST software for comparative genomics
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批准号:8797493
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项目类别:
-
资助金额:$19.2万
-
财政年份:2015
-
负责人:Adam Charles Siepel
-
依托单位:
Continued development and maintenance of the PHAST software for comparative genomics
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批准号:9058580
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项目类别:
-
资助金额:$19.2万
-
财政年份:2015
-
负责人:Adam Charles Siepel
-
依托单位:
Computational methods for human genomic data integration: demography, selection,
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批准号:8956758
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项目类别:
-
资助金额:$3.32万
-
财政年份:2013
-
负责人:Adam Charles Siepel
-
依托单位:
Computational methods for human genomic data integration: demography, selection,
-
批准号:8601114
-
项目类别:
-
资助金额:$31.25万
-
财政年份:2013
-
负责人:Adam Charles Siepel
-
依托单位:
Computational methods for human genomic data integration: demography, selection,
-
批准号:8458272
-
项目类别:
-
资助金额:$34.86万
-
财政年份:2013
-
负责人:Adam Charles Siepel
-
依托单位:
Computational methods for human genomic data integration: demography, selection,
-
批准号:9198019
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项目类别:
-
资助金额:$32.98万
-
财政年份:2013
-
负责人:Adam Charles Siepel
-
依托单位:
海外基金