An ultra-low-input RNase footprinting assay to quantify cytosolic and mitochondrial translation simultaneously
超低输入 RNase 足迹分析可同时量化胞质和线粒体翻译
基本信息
- 批准号:10344388
- 负责人:
- 金额:$ 48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-01-17 至 2025-12-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAmino AcidsBiological AssayBloodBone MarrowCRISPR libraryCRISPR screenCell CountCell Differentiation processCellsCodon NucleotidesComplexConsumptionCultured CellsCustomDataDependenceDevelopmentDigestionDisease ProgressionFreezingGenesGenomeGenomicsHematopoiesisHematopoieticHematopoietic stem cellsHeterogeneityHourIndividualKnock-outLengthLibrariesLymphocyteMalignant NeoplasmsMapsMass Spectrum AnalysisMediatingMethodsMitochondriaMolecularNormal CellNucleotidesOpen Reading FramesOxidative PhosphorylationPhysiologicalPreparationProceduresProtein BiosynthesisProtocols documentationRNARegulationResearchResolutionRibonucleasesRibosomal RNARibosomesRoleSucroseTechniquesTechnologyTimeTissue SampleTissuesTranslatingTranslation InitiationTranslational RegulationTranslationsUltracentrifugationWorkbasecancer cellcell growthcell typeclinical prognosiscostdesigngenome-widehuman diseasein vivoinsightmitochondrial genomemitochondrial metabolismmonocytenovelpolysome profilingpreventribosome profilingself-renewalstem cellstooltranscriptome sequencingtranscriptomicstranslation factor
项目摘要
ABSTRACT
Ribosome profiling isolates ribosome-protected fragments for sequencing and reveals active translation at the
single-nucleotide resolution in vivo. It represents a valuable approach to study various aspects of protein
synthesis, such as the regulation of translation efficiency, alternative translation initiation, ribosome elongation
and pausing, codon usage, and identifying non-canonical open reading frames and micropeptides (<100 amino
acids) encoded in a genome. Thus, it provides unique molecule insights of translational control, which could not
be achieved by other genomic technologies, such as mass spectrometry or polysome profiling. However, current
ribosome profiling protocols generally use complicated experimental procedures to isolate ribosome-RNA
complexes such as though a sucrose cushion, and require millions of input cells. This technical barrier has
prevented its application to examing translation profiles of primary physiological tissue samples with low-input
cell numbers. To tackle this long-standing challenge, here we propose to develop an ultra-low-input RNase
footprinting approach for the rapid quantification of cytosolic and mitochondrial translation simultaneously. Our
method simplified the experimental procedure to select ribosome footprints based on optimized RNase digestion.
My lab has made the assay work well for as few as 1,000 cultured cells. In this proposal, we aim to further
develop the assay and make it work robustly for a small amount of primary tissue samples (Aim 1). Furthermore,
we will apply the method to map the RNA translation landscape of rare progenitor cells and differentiated cell
types during hematopoiesis (Aim 2). The results will reveal novel mechanisms mediating the translational control
underlying hematopoietic cell fate decisions. Finally, by leveraging that our assay provides a simplified method
to study mitochondrial translation, we will use it to examine the heterogeneity of mitochondrial translation
machinery and build the functional network mediated by individual factors (Aim 3). Altogether, the refined ultra-
low-input RNase footprinting method developed in this proposal will be a valuable tool and can be widely used
to study the translational regulation underlying complex physiological conditions from normal development to
disease progression.
摘要
核糖体分析分离核糖体保护的片段进行测序,并揭示在
体内单核苷酸拆分。这是一种研究蛋白质各个方面的有价值的方法。
合成,如翻译效率的调节,选择性翻译的启动,核糖体的延长
以及暂停、密码子使用和识别非规范的开放阅读框架和微肽(<;100个氨基酸
酸)编码在基因组中的。因此,它提供了独特的翻译控制的分子洞察力,这是不可能的
可通过其他基因组技术实现,例如质谱仪或多聚体图谱。但是,当前
核糖体分析方法通常使用复杂的实验程序来分离核糖体-RNA
复合体如蔗糖般缓冲,并需要数百万个输入细胞。这一技术障碍具有
阻止了其在低输入的初级生理组织样本的平移轮廓检查中的应用
手机号码。为了应对这一长期存在的挑战,我们建议开发一种超低投入的核糖核酸酶
同时对胞质和线粒体翻译进行快速定量的足迹方法。我们的
方法简化基于优化核糖酶消化的核糖体足迹选择实验程序。
我的实验室已经使这项测试在1000个培养细胞中发挥了很好的作用。在这项建议中,我们的目标是进一步
发展这种分析方法,使其对少量的初级组织样本有效(目标1)。此外,
我们将应用该方法绘制稀有祖细胞和分化细胞的RNA翻译图谱
造血过程中的类型(目标2)。研究结果将揭示翻译控制的新机制
潜在的造血细胞命运决定。最后,通过利用我们的分析提供了一种简化的方法
为了研究线粒体翻译,我们将用它来检验线粒体翻译的异质性
机械和建立由个人因素调节的功能网络(目标3)。总而言之,精致的超
该方案开发的低投入的RNase足迹方法将是一个有价值的工具,可以广泛应用
研究从正常发育到复杂生理条件下的翻译调节
疾病的发展。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
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{{ truncateString('Zhe Ji', 18)}}的其他基金
An ultra-low-input RNase footprinting assay to quantify cytosolic and mitochondrial translation simultaneously
超低输入 RNase 足迹分析可同时量化胞质和线粒体翻译
- 批准号:
10551894 - 财政年份:2022
- 资助金额:
$ 48万 - 项目类别:
Characterizing functional translation in putative 'noncoding' regions of a genome
表征基因组假定“非编码”区域的功能翻译
- 批准号:
10224773 - 财政年份:2020
- 资助金额:
$ 48万 - 项目类别:
Characterizing functional translation in putative 'noncoding' regions of a genome
表征基因组假定“非编码”区域的功能翻译
- 批准号:
10404084 - 财政年份:2020
- 资助金额:
$ 48万 - 项目类别:
Characterizing functional translation in putative 'noncoding' regions of a genome
表征基因组假定“非编码”区域的功能翻译
- 批准号:
10029320 - 财政年份:2020
- 资助金额:
$ 48万 - 项目类别:
Characterizing functional translation in putative 'noncoding' regions of a genome
表征基因组假定“非编码”区域的功能翻译
- 批准号:
10624962 - 财政年份:2020
- 资助金额:
$ 48万 - 项目类别:
Characterizing functional translation in putative 'noncoding' regions of a genome: Admin Suppl
表征基因组假定“非编码”区域的功能翻译:Admin Suppl
- 批准号:
10582077 - 财政年份:2020
- 资助金额:
$ 48万 - 项目类别:
Dissect regulation of RNA translation in human cancers
剖析人类癌症中 RNA 翻译的调控
- 批准号:
9307739 - 财政年份:2016
- 资助金额:
$ 48万 - 项目类别:
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