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@article{1822322,
author = {Lapčík, Petr and Janáčová, Lucia and Bouchalová, Pavla and Potěšil, David and Podhorec, Ján and Hora, Milan and Poprach, Alexandr and Fiala, Ondřej and Bouchal, Pavel},
article_location = {Weinheim},
article_number = {7},
doi = {http://dx.doi.org/10.1002/pmic.202100228},
keywords = {assay library; data independent acquisition; mass spectrometry; proteomics; renal cell carcinoma},
language = {eng},
issn = {1615-9853},
journal = {Proteomics},
title = {A large-scale assay library for targeted protein quantification in renal cell carcinoma tissues},
url = {https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202100228},
volume = {22},
year = {2022}
}
TY - JOUR
ID - 1822322
AU - Lapčík, Petr - Janáčová, Lucia - Bouchalová, Pavla - Potěšil, David - Podhorec, Ján - Hora, Milan - Poprach, Alexandr - Fiala, Ondřej - Bouchal, Pavel
PY - 2022
TI - A large-scale assay library for targeted protein quantification in renal cell carcinoma tissues
JF - Proteomics
VL - 22
IS - 7
SP - "e2100228"
EP - "e2100228"
PB - Wiley-VCH GmbH
SN - 16159853
KW - assay library
KW - data independent acquisition
KW - mass spectrometry
KW - proteomics
KW - renal cell carcinoma
UR - https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202100228
N2 - 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.
ER -
LAPČÍK, Petr, Lucia JANÁČOVÁ, Pavla BOUCHALOVÁ, David POTĚŠIL, Ján PODHOREC, Milan HORA, Alexandr POPRACH, Ondřej FIALA a Pavel BOUCHAL. A large-scale assay library for targeted protein quantification in renal cell carcinoma tissues. Online. \textit{Proteomics}. Weinheim: Wiley-VCH GmbH, 2022, roč.~22, č.~7, s.~''e2100228'', 7 s. ISSN~1615-9853. Dostupné z: https://dx.doi.org/10.1002/pmic.202100228. [citováno 2024-04-24]
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