Proteomics

Dataset Information

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Protein identification in 1000 U2OS cells


ABSTRACT: In this study, we aim to optimize sample processing methods using a conventional in-solution proteomic sample processing workflow. We then compared protein idetnfication numbers withour improved sample processing methods versus the original method, in 1000 U2OS human osteosarcoma cells.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Cell Culture

SUBMITTER: Yu Lu  

LAB HEAD: Yu Lu

PROVIDER: PXD013702 | Pride | 2019-05-06

REPOSITORIES: Pride

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Publications

Step-Wise Assessment and Optimization of Sample Handling Recovery Yield for Nanoproteomic Analysis of 1000 Mammalian Cells.

Wu Ruilin R   Xing Sansi S   Badv Maryam M   Didar Tohid F TF   Lu Yu Y  

Analytical chemistry 20190801 16


Protein and peptide adhesion is a major factor contributing to sample loss during proteomic sample preparation workflows. Sample loss often has detrimental effects on the quality of proteomic analysis by compromising protein identification and data reproducibility. When starting with a low sample amount, only the most abundant proteins can be identified, which often offers little insights for biological research. Although the general idea about severe sample loss from low amount of starting mate  ...[more]

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