Proteomics

Dataset Information

0

Comprehensive SAAVs detection in PANC-1 cell line


ABSTRACT: Three different strategies were applied for SAAVs detection. We predicted deleterious SAAVs using online AssVar and confirm 3 SAAVs using SRM

INSTRUMENT(S): Orbitrap Fusion, Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell

SUBMITTER: Zhijing Tan  

LAB HEAD: David M. Lubman

PROVIDER: PXD017449 | Pride | 2021-09-09

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Set1-1.msf Msf
Set1-1.raw Raw
Set1-2.msf Msf
Set1-2.raw Raw
Set1-3.msf Msf
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Publications

Comprehensive Detection of Single Amino Acid Variants and Evaluation of Their Deleterious Potential in a PANC-1 Cell Line.

Tan Zhijing Z   Zhu Jianhui J   Stemmer Paul M PM   Sun Liangliang L   Yang Zhichang Z   Schultz Kendall K   Gaffrey Matthew J MJ   Cesnik Anthony J AJ   Yi Xinpei X   Hao Xiaohu X   Shortreed Michael R MR   Shi Tujin T   Lubman David M DM  

Journal of proteome research 20200227 4


Identifying single amino acid variants (SAAVs) in cancer is critical for precision oncology. Several advanced algorithms are now available to identify SAAVs, but attempts to combine different algorithms and optimize them on large data sets to achieve a more comprehensive coverage of SAAVs have not been implemented. Herein, we report an expanded detection of SAAVs in the PANC-1 cell line using three different strategies, which results in the identification of 540 SAAVs in the mass spectrometry da  ...[more]

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