Post-translational phenotypic profiling through nucleotide barcode sequencing
Post-translational phenotypic profiling through nucleotide barcode sequencing
批准号:
10649344
负责人:
NICHOLAS T INGOLIA
金额:
$22.24万
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 2025-04-30
关键词:
AffectAmino Acid SequenceBar CodesBindingBiologicalBiological AssayCRISPR/Cas technologyCell physiologyCellsClustered Regularly Interspaced Short Palindromic RepeatsCoupledDNA SequenceDNA biosynthesisDNA sequencingDiseaseDrug resistanceEnhancersEnsureEnzymesGene ExpressionGenesGeneticGenetic TranscriptionGenetic VariationGenomeGoalsHealthHigh-Throughput Nucleotide SequencingIndividualLibrariesMalignant NeoplasmsMapsMeasurementMeasuresMediatingMolecularMutagensMutationNucleotidesOncogenicOutcomePeptide HydrolasesPhenotypePhosphorylationPhosphotransferasesPost-Translational Protein ProcessingPost-Translational RegulationProtein KinaseProteinsRNARNA-Binding ProteinsRegulationReporterSignal PathwaySignal TransductionSmall RNATechniquesTestingTranscriptional RegulationTransformed Cell LineTransgenic OrganismsTranslation ProcessTranslationsVariantViralWorkbase editordeep sequencingdriver mutationexperimental studygenetic variantinnovationinterestkinase inhibitorlink proteinmRNA sequencingnovelpromoterprotein functionresponsetranscription factor
中文摘要
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英文摘要
ABSTRACT
Advances in DNA synthesis and sequencing now enable large-scale experiments that
systematically explore how sequence variation affects molecular and cellular function.
Transcriptional regulation has proven particularly amenable to massively parallel experiments
that have revealed how sequence variation affects the activities of promoters and enhancers as
well as transcription factors. These experiments have relied on high-throughput sequencing of
the mRNAs produced during transcription as a direct read-out of regulatory activity. This
elegant approach cannot be directly extended to study other important modes of biological
regulation, however.
Post-translational protein modification underlies nearly all cell signaling pathways. Despite its
importance, we lack general approaches to assess how sequence variation affects post-
translational regulation. We will address this gap with a broadly applicable strategy to link
protein modifications, such as phosphorylation or regulated degradation, with a deep
sequencing readout. Here we propose to develop this technique and validate it by
demonstrating how protein-level regulation is affected by variation in the target protein, the
modifying enzyme, and the broader genetic context of the cell.
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