Area A: High Precision Single Cell Genomes: Linear Amplification and Digital Haplotypes
Area A: High Precision Single Cell Genomes: Linear Amplification and Digital Haplotypes
批准号:
9483092
负责人:
XIAOLIANG SUNNEY XIE
金额:
$170.89万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-30 至 2019-06-30
关键词:
Algorithm DesignAreaBenchmarkingBenignBioinformaticsBreast Cancer cell lineCancer cell lineCell CycleCellsCellular biologyChromosomal RearrangementChromosomesCompanionsComputing MethodologiesConsensusDNADNA copy numberDana-Farber Cancer InstituteDataData AnalysesDatabasesDaughterDetectionDevelopmentDiploidyDrug resistanceExperimental ModelsGenerationsGeneticGenetic HeterogeneityGenetic TranscriptionGenetic VariationGenomeGenomic DNAGenomicsGoalsHaplotypesHumanImmune systemIn VitroLabelLaboratoriesLibrariesMalignant NeoplasmsMethodsMutagenesisNatureNeoplasm Circulating CellsNeoplasm MetastasisNucleotidesPerformancePhasePoint MutationRNAResearchS-Phase FractionSamplingSiblingsSister ChromatidSiteSomatic CellSystemTechnologyTimeTn5 transposaseValidationVariantanticancer researchbasecancer cellcancer genomecancer heterogeneitycomputerized data processingdigitalexperimental studygenome analysisgenome sequencinggenomic profileslive cell imagingneoplastic cellnovel strategiespromotersingle cell analysissingle cell sequencingsuccesstherapy resistanttooltranslational cancer researchtumortumor heterogeneitytumorigenesiswhole genome
中文摘要
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英文摘要
Project Summary/Abstract
This proposal brings together four research teams with expertise in cancer genome sequencing, single-cell
sequencing, and cancer cell biology to advance single-cell sequencing technology to tackle compelling
questions in basic and translational cancer research. It responds to RFA-CA-17-023, Cancer Moonshot
Initiative, and proposes to create and validate a platform of experimental and analytical approaches for precise
single-cell sequencing of human samples based on the most recent advance in single-cell whole-genome
amplification, Linear Amplification after Transposon Insertion (LIANTI), developed by the Xie laboratory. The
immediate goal is to further develop LIANTI and augment bioinformatic analysis for single-cell LIANTI
sequencing. Aim 1 focuses on developing a high throughput version of LIANTI. Aim 2 focuses on developing
computational methods that utilize the digital and linear nature of LIANTI sequencing data. Aim 3 describes
strategies and experimental models that will be used to validate and benchmark single-cell LIANTI sequencing
performance and demonstrate its applicability to tumor analysis. Overall, our goal is to optimize and implement
the most precise single-cell sequencing technology for variant detection in single cancer or somatic cells.
Success of the project will result in an integrated platform that overcomes prevailing impediments in single-cell
analysis and can have a transformative impact in multiple areas of cancer research, including tumor genetic
heterogeneity, circulating tumor cells, primary/metastasis relationship, drug resistance, and benign-to-
malignancy transformation.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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