Light-Seq: Spatially targeted profiling of transcriptomic states in cells and tissue
Light-Seq: Spatially targeted profiling of transcriptomic states in cells and tissue
批准号:
10633918
负责人:
Peng Yin
金额:
$61.02万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-01 至 2027-02-28
关键词:
AddressAdoptionAntibodiesAreaAtlasesBar CodesBiologicalBiological AssayBiological ProcessBrainCellsClinicalComplexDNADataData SetDissociationFluorescent in Situ HybridizationHandHealthHumanImageIn SituIndividualInterstitial Cell of CajalLibrariesLightLocationMapsMethodsMorphologyMusNamesPathologistPathologyPopulationPreparationRNAReactionResearch PersonnelResolutionRetinaSamplingSlideStainsSurfaceSystemTechnologyTimeTissue SampleTissuesTranscriptWorkcDNA Librarycell fixingcell typecombinatorialcost effectivedensitydesigndirect applicationempowermentflexibilityfollow-upin situ imagingindexinginterestmixed cell culturenext generation sequencingparallelizationpreservationprotein expressionscreeningsequencing platformtechnology platformtooltranscriptometranscriptome sequencingtranscriptomic profilingtranscriptomics
中文摘要
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英文摘要
Summary
We will develop a new spatial-omics platform, Light-Seq, for spatial indexing of intact biological samples using
light-directed DNA barcoding in fixed cells and tissues followed by ex situ sequencing. Our light-directed
barcoding strategy will enable user-directed, in situ selection of rare, disjoint cell populations for full-
transcriptome sequencing based on morphology, location, or protein expression without dissociation. We will
develop Light-Seq as a spatial-omic DNA barcoding platform capable of extracting the transcriptomic information
from single-cells, scalable to uniquely address thousands of user-defined regions, and can be applied in both
fixed and FFPE clinical samples for direct applications in human health. We envision that the Light-Seq platform
will be a scalable, cost-effective, and flexible approach to spatial transcriptomics that allows the user to define
spatial regions in tissue for NGS sequencing. Light-seq can thus serve as a low barrier-to-entry platform for
spatial transcriptomics for many pathologists and researchers, and would be a key driver for a wider adoption of
spatial transcriptomic tools.
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会议论文
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海外基金