TR&D 1 Isobaric Mass Tags for Ultra-Plexed Protein Quantification p. 398
TR&D 1 Isobaric Mass Tags for Ultra-Plexed Protein Quantification p. 398
批准号:
8998784
负责人:
LINGJUN LI
金额:
$36.83万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-05 至 2021-06-30
关键词:
BenchmarkingBiologicalBiologyChemicalsCollectionComplexDataDevelopmentEnsureEvaluationGenerationsLabelLeucineLiquid substanceMedicineMethodsNeutronsPeptidesPerformancePreparationProteinsProteomeProteomicsSamplingScanningScienceSystemTechnologyTimeTissuesWorkbasecost effectivedata acquisitioninstrumentmembernew technologynovelparallel processingprotein aminoacid sequenceresearch studytranslational medicine
中文摘要
项目摘要
蛋白质定量技术的持续发展是现代生物学和医学的关键。
事实上,在定量分析(多路分析)过程中并行处理样品的能力对于许多
建议的DBP申请。通过化学标记进行样品多路传输提供了许多关键优势。第一,
在单次质谱分析中并行处理样品减少了所需的材料量
从任何一个样本中提取;这与基于组织的工作特别相关。其次,多路传输大大减少了
样品准备和仪器分析的时间要求,这对于扩大应用是必不可少的
从蛋白质组分析到转化医学。第三,高度复杂的分析有助于收集生物
复制数据,这显然是该领域进步的必要条件。第四,将样本组合成一个
单一分析允许更少的MS实验,这反过来又允许在所有条件下更大的数据重叠。
最后,化学标记与生物组织和液体兼容。我们总结出分析的能力
生物体液和组织对于蛋白质组学在转化医学中的应用至关重要。在这个研发中
我们的目标是将化学标记扩大到前所未有的30个复合体分析,并有可能走得更远
更高,通过合成新的中子编码的化学标签。此外,我们将开发新技术来推动
MS/MS采样重叠,因为需要MS/MS扫描和识别才能从以下位置获得定量数据
等压标记。
英文摘要
Project Summary
The continued development of protein quantification technologies is key to modern biology and medicine.
Indeed, the ability to parallel process samples during quantitative analysis (multiplex) is essential for many of the
proposed DBP applications. Sample multiplexing via chemical labeling offers numerous key advantages. First,
parallel processing of samples in a single mass spectrometric analysis reduces the amount of material required
from any one sample; this is particularly relevant for tissue-based work. Second, multiplexing greatly reduces
sample preparation and instrument analysis time requirements, which is essential for the expanded application
of proteomic analysis to translational medicine. Third, highly plexed analyses facilitate collection of biological
replicate data, an obvious requisite for the field's advancement. Fourth, the ability to combine samples into a
single analysis permits fewer MS experiments, which in turn allows for greater data overlap across all conditions.
Finally, chemical labeling is compatible with biological tissues and fluids. We conclude the ability to analyze
biological fluids and tissues is vital for the application of proteomics to translational medicine. In this TR&D
project we aim to expand chemical labeling to an unprecedented 30-plex analysis, with the possibility to go much
higher, by synthesis of new neutron-encoded chemical tags. Further, we will develop new technologies to boost
MS/MS sampling overlap, since an MS/MS scan and identification is required to obtain quantitative data from
isobaric tagging.
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