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

• Published in: Proteomics (Weinheim) Vol. 22; no. 7; pp. e2100228 - n/a
• Main Authors: Lapcik, Petr, Janacova, Lucia, Bouchalova, Pavla, Potesil, David, Podhorec, Jan, Hora, Milan, Poprach, Alexandr, Fiala, Ondrej, Bouchal, Pavel
• Format: Journal Article
• Language: English
• Published: Germany Wiley Subscription Services, Inc 01-04-2022
• Subjects: assay library; Biomarkers; Cancer; Carcinoma, Renal Cell; Chromatography, Liquid; data independent acquisition; Datasets; Humans; Instrumentation; Kidney cancer; Kidney Neoplasms; Libraries; Lysates; Mass spectrometry; Mass spectroscopy; Metastases; Metastasis; Peptides; Proteins; Proteome - metabolism; Proteomes; Proteomics; Renal cell carcinoma; Tandem Mass Spectrometry; Therapeutic targets; Tissues; Trypsin; mass spectrometry; renal cell carcinoma; proteomics; assay library; data independent acquisition
• ISSN: 1615-9853; 1615-9861
• DOI: 10.1002/pmic.202100228

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.