Li Lu, Jiang Wenhao, Wei Wenjun, Krishnamoorthy Gnana P, Hu Pingping, Chen Mengni, Tiedje Vera, Acuña-Ruiz Adrián, Wang He, Wang Zhihong, Wang Jianbiao, Liu Hanqing, Chen Wanyuan, Guan Haixia, Chen Chuang, Zhang Hao, Wang Yu, Fagin James A, Guo Tiannan, Zhu Yi, Wang Yingrui, Gao Jianqing, Sun Yaoting
College of Pharmaceutical Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou, 310058, China.
Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, No. 18 Shilongshan Road, Hangzhou, 310024, China.
Sci Data. 2024 Dec 28;11(1):1448. doi: 10.1038/s41597-024-04322-9.
Thyroid nodules are a common endocrine condition with an increasing incidence over the decades. Data-independent acquisition has been widely utilized in discovery proteomics to identify disease biomarkers and therapeutic targets. To analyze the thyroid disease-related proteome in a high-throughput, reproducible and reliable manner, we introduce thyroid-specific peptide spectral libraries. Here, we generated four deep-coverage libraries through four mass spectrometers comprising Q Exactive HF, Orbitrap Exploris 480, ZenoTOF 7600, and timsTOF Pro. These libraries encompass over 215,000 precursors, 172,000 peptides, and 12,000 proteins, derived from 245 tissue samples across nine histological types and 50 cell lines across six histological types. Moreover, the spectral libraries are applied to nine types of thyroid samples to facilitate the exploration of disease-specific proteins. Our spectral libraries serve as a valuable resource for analyzing thyroid protein content, facilitating deeper insights into thyroid disorders.
甲状腺结节是一种常见的内分泌疾病,在过去几十年中发病率不断上升。数据非依赖采集已广泛应用于发现蛋白质组学,以识别疾病生物标志物和治疗靶点。为了以高通量、可重复和可靠的方式分析甲状腺疾病相关蛋白质组,我们引入了甲状腺特异性肽谱库。在此,我们通过四台质谱仪(包括Q Exactive HF、Orbitrap Exploris 480、ZenoTOF 7600和timsTOF Pro)生成了四个深度覆盖的库。这些库包含超过215,000个前体、172,000个肽和12,000个蛋白质,来源于9种组织学类型的245个组织样本和6种组织学类型的50个细胞系。此外,这些谱库应用于九种类型的甲状腺样本,以促进对疾病特异性蛋白质的探索。我们的谱库是分析甲状腺蛋白质含量的宝贵资源,有助于更深入地了解甲状腺疾病。