Surfactant Cocktail-Aided Extraction/Precipitation/On-Pellet Digestion Strategy Enables Efficient and Reproducible Sample Preparation for Large-Scale Quantitative Proteomics-Reference-Cited by-同舟云学术

Surfactant Cocktail-Aided Extraction/Precipitation/On-Pellet Digestion Strategy Enables Efficient and Reproducible Sample Preparation for Large-Scale Quantitative Proteomics

Published:2018-08-05 Issue:17 Volume:90 Page:10350-10359
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Shen Shichen¹²,An Bo¹²,Wang Xue²³,Hilchey Shannon P.⁴,Li Jun¹²,Cao Jin⁵,Tian Yu⁶,Hu Chenqi⁶,Jin Liang⁶,Ng Andrew²⁷,Tu Chengjian¹²,Qu Miao⁸^ORCID,Zand Martin S.⁴,Qu Jun¹²^ORCID

Affiliation:

1. Department of Pharmaceutical Sciences, SUNY at Buffalo, Buffalo, New York 14214, United States

2. New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, New York 14203, United States

3. Roswell Park Cancer Institute, Buffalo, New York 14263, United States

4. Division of Nephrology, University of Rochester Medical Center, Rochester, New York 14642, United States

5. National Institute for Food and Drug Control, Beijing, 100050, China

6. AbbVie Bioresearch Center Inc., Worcester, Massachusetts 01605, United States

7. School of Dental Medicine, SUNY at Buffalo, Buffalo, New York 14214, United States

8. Department of Neurology, Xuan Wu Hospital, Capital University of Medicine, Beijing, 100053, China

Funder

National Center for Advancing Translational Sciences

National Eye Institute

National Heart, Lung, and Blood Institute

National Institute of Allergy and Infectious Diseases

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.8b02172

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5. New Insights into the Disease Progression Control Mechanisms by Comparing Long-Term-Nonprogressors versus Normal-Progressors among HIV-1-Positive Patients Using an Ion Current-Based MS1 Proteomic Profiling

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