Executing clinical proteomic studies using mass spectrometry
نویسندگان
چکیده
منابع مشابه
Classification Using Mass Spectrometry Proteomic Data with Kernel-Based Algorithms
Motivation: Early detection of cancer is crucial for successful treatment, and protein profiling using mass spectrometry (MS) data has been investigated as a potential tool. However, due to the high correlation and huge dimensionality of MS data, it is crucial to modify existing algorithms and to develop new ones, where necessary, for analyzing such data. Results: We develop a group of logistic...
متن کاملProteomic tools for quantitation by mass spectrometry.
Techniques for the quantitation of proteins and peptides by mass spectrometry (MS) are reviewed. A range of labeling processes is discussed, including metabolic, enzymatic, and chemical labeling, and techniques that can be employed for comparative and absolute quantitation are presented. Advantages and drawbacks of the techniques are discussed, and suggestions for the appropriate uses of the me...
متن کاملMass spectrometry-based quantitative proteomic profiling.
Quantitative proteomics involves the identification and quantitation of protein components in various biological systems. Stable isotope labelling technology, by both metabolic and chemical methods, has been the most commonly used approach for global proteome-wide profiling. Recently, its capability has been extended from labelled pairs to multiple labels, allowing for the simultaneous quantifi...
متن کاملMass spectrometry-based proteomic studies of human anaplastic large cell lymphoma.
Malignant lymphomas are a diverse group of malignant neoplasms that arise as a result of a complex interplay of multiple factors including genetic aberrations, immunosuppression, and exposure to noxious agents such as ionizing radiation and chemical agents. Anaplastic large cell lymphoma (ALCL) is an aggressive T-lineage lymphoma harboring chromosomal translocations involving the anaplastic lym...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Ophthalmologica
سال: 2017
ISSN: 1755-375X
DOI: 10.1111/j.1755-3768.2017.01152