ArticleScientific data2024
Comprehensive Mass Spectral Libraries of Human Thyroid Tissues and Cells.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Proteogenomic characterization delineates clinically relevant subtypes of advanced differentiated thyroid cancer.Cell reports. Medicine · 2026Article
- ProteoAutoNet: high-throughput co-eluted protein analysis with robotics and machine learning.Nature communications · 2026Article
- Multi-center multi-omics integration predicts individualized prognosis in medullary thyroid carcinoma.Nature communications · 2026Article
- In Search of Ideal Solutions for Cancer Diagnosis: From Conventional Methods to Protein Biomarkers in Liquid Biopsy.Proteomes · 2025Review
- Comprehensive Mass Spectral Libraries of Human Thyroid Tissues and Cells.Scientific data · 2024Article
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Authors and funding
23 authors.
Funding
Abstract
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.
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