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Advances in the Clinical Application of High-throughput Proteomics.
Cui, Miao; Deng, Fei; Disis, Mary L; Cheng, Chao; Zhang, Lanjing.
Afiliación
  • Cui M; Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Deng F; Department of Pathology, Mount Sinai West, New York, NY, USA.
  • Disis ML; Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA.
  • Cheng C; UW Medicine Cancer Vaccine Institute, University of Washington, Seattle, WA, USA.
  • Zhang L; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Explor Res Hypothesis Med ; 9(3): 209-220, 2024.
Article en En | MEDLINE | ID: mdl-39148720
ABSTRACT
High-throughput proteomics has become an exciting field and a potential frontier of modern medicine since the early 2000s. While significant progress has been made in the technical aspects of the field, translating proteomics to clinical applications has been challenging. This review summarizes recent advances in clinical applications of high-throughput proteomics and discusses the associated challenges, advantages, and future directions. We focus on research progress and clinical applications of high-throughput proteomics in breast cancer, bladder cancer, laryngeal squamous cell carcinoma, gastric cancer, colorectal cancer, and coronavirus disease 2019. The future application of high-throughput proteomics will face challenges such as varying protein properties, limitations of statistical modeling, technical and logistical difficulties in data deposition, integration, and harmonization, as well as regulatory requirements for clinical validation and considerations. However, there are several noteworthy advantages of high-throughput proteomics, including the identification of novel global protein networks, the discovery of new proteins, and the synergistic incorporation with other omic data. We look forward to participating in and embracing future advances in high-throughput proteomics, such as proteomics-based single-cell biology and its clinical applications, individualized proteomics, pathology informatics, digital pathology, and deep learning models for high-throughput proteomics. Several new proteomic technologies are noteworthy, including data-independent acquisition mass spectrometry, nanopore-based proteomics, 4-D proteomics, and secondary ion mass spectrometry. In summary, we believe high-throughput proteomics will drastically shift the paradigm of translational research, clinical practice, and public health in the near future.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Explor Res Hypothesis Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Explor Res Hypothesis Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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