An Integrative Approach for the Annotation of Functional smORFs
An Integrative Approach for the Annotation of Functional smORFs
批准号:
9329058
负责人:
Thomas Farid Martinez
金额:
$5.67万
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:
2017-04-01 至 2019-03-31
关键词:
AlanineBindingBinding SitesBiochemistryBiologicalBiologyCell LineCellsCervix carcinomaCodeCodon NucleotidesCoupledCritical PathwaysDNA RepairDataData SetDevelopmentDiabetes MellitusDiseaseFutureGene ProteinsGenesGenetic TranscriptionGenomeGoalsHeLa S3HealthHumanHuman BiologyHuman Cell LineHuman GenomeImmunoprecipitationInflammationInsulin Signaling PathwayInvestigationKnowledgeMalignant Epithelial CellMass Spectrum AnalysisMediatingMetabolismMethodsMusMutagenesisOpen Reading FramesOrganismPathway interactionsPhenylalaninePhysiologicalPhysiologyPlayPreventionProcessProteinsProteomeProteomicsPublishingRegulationRoleScanningSignaling MoleculeTestingTranscriptTranslatingUntranslated RNAValidationbasedisease diagnosisexperimental studygenome annotationgenome-widehuman diseaseimprovedinsightinsulin signalingmRNA Expressionprotein complexribosome profilingsmall moleculetherapy developmenttranscriptometranscriptome sequencing
中文摘要
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英文摘要
Project Summary
In order to effectively develop therapies for disease and enhance health, an accurate understanding of the
biological pathways that underpin physiology is required. The components of these pathways originally
included different genes, proteins, small molecule substrates, and signaling molecules, but have since grown
to include new components, such as non-coding RNAs, that have changed the understanding of how these
pathways function. Recent investigations of transcriptomes and proteomes across many organisms have
revealed yet another new component that was previously overlooked—protein-coding small open reading
frames (smORFs), defined here as containing <150 codons. Initial characterization of smORFs has shown
them to function in critical processes such as development, metabolism, and DNA repair; however, hundreds
or possibly more remain uncharacterized. The goals of this application are to annotate all human smORFs
across three cell lines (Aim 1a), explore these smORFs' involvement in the regulation of critical pathways,
including inflammation and insulin signaling (Aim 1b), and to establish high confidence interacting partners of
selected smORF-encoded proteins, referred to as microproteins, which will aid in future functional
characterization studies (Aim 2). Aim 1a utilizes a combination of RNA-Seq for de novo transcript assembly,
genome-wide ribosome profiling, or Ribo-Seq, to identify translated non-annotated smORFs, and targeted
mass spectrometry to validate candidate smORFs in human HEK293T cells, HeLa-S3 cervical carcinoma cells,
and GM12878 B-lymphoblastoid cells. In Aim 1b, these newly identified smORFs will be analyzed for changes
in mRNA expression across published RNA-Seq studies of inflammation and insulin signaling to determine
which smORFs play a role in associated diseases, such as diabetes. In Aim 2, microprotein:protein interactions
will be investigated by immunoprecipitation of FLAG-tagged microproteins coupled to mass spectrometry as a
means to identify associated protein complexes. As an alternative and complementary method to
immunoprecipitation, microprotein:APEX2 fusions will also be used to induce covalent attachment to
microprotein binding partners intracellularly. In preliminary experiments, 2,099 non-annotated smORFs have
been identified by Ribo-Seq in HEK293T cells. Of these smORFs, 50 are conserved in mice and will help make
up the initial batch of microproteins for interaction studies, given the likelihood of conserved genes to be
biologically active. Following identification of interacting proteins, the direct microprotein binding sites and
partners will be determined by alanine scanning mutagenesis and a synthetic benzoyl phenylalanine-
containing photocrosslinkable binding site probe. Achieving these objectives will accomplish the larger goal of
defining the protein-coding capacity of the human genome and identifying additional genes with critical
functions in biology and disease.
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