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
项目总结
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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