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A Quantitative Proteomics Approach to Clinical Research with Non-Traditional Samples

Department of Medicine, San Juan Bautista School of Medicine, Caguas 00727, Puerto Rico
Quantitative Proteomics Laboratory, Comprehensive Cancer Center of Puerto Rico, San Juan 00936, Puerto Rico
Department of Internal Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico
Authors to whom correspondence should be addressed.
Academic Editors: Edwin Lasonder and Jacek R. Wisniewski
Proteomes 2016, 4(4), 31;
Received: 28 June 2016 / Revised: 19 September 2016 / Accepted: 21 September 2016 / Published: 17 October 2016
(This article belongs to the Special Issue Clinical Proteomics)
PDF [641 KB, uploaded 22 October 2016]


The proper handling of samples to be analyzed by mass spectrometry (MS) can guarantee excellent results and a greater depth of analysis when working in quantitative proteomics. This is critical when trying to assess non-traditional sources such as ear wax, saliva, vitreous humor, aqueous humor, tears, nipple aspirate fluid, breast milk/colostrum, cervical-vaginal fluid, nasal secretions, bronco-alveolar lavage fluid, and stools. We intend to provide the investigator with relevant aspects of quantitative proteomics and to recognize the most recent clinical research work conducted with atypical samples and analyzed by quantitative proteomics. Having as reference the most recent and different approaches used with non-traditional sources allows us to compare new strategies in the development of novel experimental models. On the other hand, these references help us to contribute significantly to the understanding of the proportions of proteins in different proteomes of clinical interest and may lead to potential advances in the emerging field of precision medicine. View Full-Text
Keywords: quantitative proteomics; MS/MS; clinical samples; precision medicine; screening quantitative proteomics; MS/MS; clinical samples; precision medicine; screening

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Licier, R.; Miranda, E.; Serrano, H. A Quantitative Proteomics Approach to Clinical Research with Non-Traditional Samples. Proteomes 2016, 4, 31.

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