2022
DOI: 10.1016/j.dib.2022.108490
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Dataset from a proteomics analysis of tumor antigens shared between an allogenic tumor cell lysate vaccine and pancreatic tumor tissue.

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Cited by 2 publications
(2 citation statements)
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“…The creation of a comparable database was carried out with tandem mass tags followed by prefractionation with high‐pH RPLC into 24 fractions. The database contained peptides sequence, charge, and length as a function of each fraction and could identify 61 primary tumor antigens [136]. Prostate cancer was also studied with a targeted proteome strategy, with the generation of a prostate cancer tissue‐specific peptide library for posterior comparison with digested clinical prostate samples [137].…”
Section: High‐ph Rplcmentioning
confidence: 99%
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“…The creation of a comparable database was carried out with tandem mass tags followed by prefractionation with high‐pH RPLC into 24 fractions. The database contained peptides sequence, charge, and length as a function of each fraction and could identify 61 primary tumor antigens [136]. Prostate cancer was also studied with a targeted proteome strategy, with the generation of a prostate cancer tissue‐specific peptide library for posterior comparison with digested clinical prostate samples [137].…”
Section: High‐ph Rplcmentioning
confidence: 99%
“…With similar fractionation strategies, bottom-up studies employed offline high-pH RPLC to screen digested peptides from a variety of biological samples. Between these samples are pancreas cancer tissue [136], prostate cancer tissue [137], bronchoalveolar lavage fluid for lung can-cer biomarker research [138], Trypanosoma brucei cells [139], primary biliary cholangitis from human serum [140], Panax ginseng cauline leaf and root [141], Saccharomyces cerevisiae yeast [142], and HeLa cells [143][144][145].…”
Section: Offline High-ph Rplc Approachesmentioning
confidence: 99%