A large-scale assay library for targeted protein quantification in renal cell carcinoma tissues

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Publikace nespadá pod Lékařskou fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.

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LAPČÍK Petr JANÁČOVÁ Lucia BOUCHALOVÁ Pavla POTĚŠIL David PODHOREC Ján HORA Milan POPRACH Alexandr FIALA Ondřej BOUCHAL Pavel

Rok publikování 2022
Druh Článek v odborném periodiku
Časopis / Zdroj Proteomics
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202100228
Doi http://dx.doi.org/10.1002/pmic.202100228
Klíčová slova assay library; data independent acquisition; mass spectrometry; proteomics; renal cell carcinoma
Popis Renal cell carcinoma (RCC) represents 2.2% of all cancer incidences; however, prognostic or predictive RCC biomarkers at protein level are largely missing. To support proteomics research of localized and metastatic RCC, we introduce a new library of targeted mass spectrometry assays for accurate protein quantification in malignant and normal kidney tissue. Aliquots of 86 initially localized RCC, 75 metastatic RCC and 17 adjacent non-cancerous fresh frozen tissue lysates were trypsin digested, pooled, and fractionated using hydrophilic chromatography. The fractions were analyzed using LC-MS/MS on QExactive HF-X mass spectrometer in data-dependent acquisition (DDA) mode. A resulting spectral library contains 77,817 peptides representing 7960 protein groups (FDR = 1%). Further, we confirm applicability of this library on four RCC datasets measured in data-independent acquisition (DIA) mode, demonstrating a specific quantification of a substantially increased part of RCC proteome, depending on LC-MS/MS instrumentation. Impact of sample specificity of the library on the results of targeted DIA data extraction was demonstrated by parallel analyses of two datasets by two pan human libraries. The new RCC specific library has potential to contribute to better understanding the RCC development at molecular level, leading to new diagnostic and therapeutic targets.
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