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Secretory Proteins /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Donev, Rossen (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, an imprint of Elsevier, 2023.
Edición:First edition.
Colección:Advances in protein chemistry and structural biology ; v. 133.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Secretory Proteins
  • Copyright
  • Contents
  • Contributors
  • Chapter One: Proprotein convertases regulate trafficking and maturation of key proteins within the secretory pathway
  • 1. Introduction
  • 2. Basic PCs
  • 2.1. Biochemistry
  • 2.1.1. Consensus sequence
  • 2.1.2. Cellular localization and organ expression
  • 2.1.3. Inhibitors
  • 2.2. Structure of basic proprotein convertases
  • 2.3. Cellular substrates
  • 2.3.1. Pro-hormones
  • 2.3.2. Neuropeptides
  • 2.3.3. Growth factors
  • 2.3.4. Extracellular matrix (ECM)-related proteins
  • 2.3.5. Other PCs substrates
  • 2.3.6. PCs as biochemistry tools
  • 2.4. Pathogen substrates
  • 2.4.1. Viruses
  • 2.4.2. Bacteria toxins of anthrax
  • 3. SKI-1/S1P
  • 3.1. Biochemistry
  • 3.1.1. Cellular localization and organ expression
  • 3.1.2. Inhibitors
  • 3.1.3. Consensus sequence
  • 3.2. Structure
  • 3.3. Cellular substrates
  • 3.3.1. Transcription factors
  • 3.3.2. GlcNAc-phosphotransferase
  • 3.3.3. Pro-renin receptor
  • 3.3.4. Fam20C
  • 3.4. Pathogen substrates
  • 3.4.1. Mammarenaviruses
  • 3.4.2. Bunyaviruses
  • 3.4.3. Other viruses
  • 3.4.3.1. SARS-CoV-2
  • 4. PCSK9
  • 5. Conclusions
  • Acknowledgments
  • References
  • Chapter Two: Exploring the macromolecules for secretory pathway in cancer disease
  • 1. Introduction
  • 2. Secretory proteins
  • 2.1. Role of secreted proteins in tumor cell proliferation and survival
  • 2.2. Effect of secretory proteins on tumor cell motility and metastasis
  • 2.3. Pathways associated with secretory proteins
  • 3. The cancer secretome
  • 4. Methods for analyzing secretory proteins
  • 4.1. Genome-based computational prediction
  • 4.2. Proteomic approaches
  • 4.3. Gel-based proteomics approach
  • 4.4. Gel-free MS-based technologies
  • 4.5. SELDI-TOF-MS
  • 5. Tumor cell secretome
  • 5.1. Secretome in breast cancers
  • 6. Effect of therapy-induced tumor secretome on tumor microenvironment
  • 7. Cancer secretome from heterotypic cells
  • 8. The angiogenesis-derived secretome
  • 8.1. Secretome from angiogenesis
  • 9. Conclusion
  • Acknowledgment
  • References
  • Chapter Three: Current and emerging biomarkers in ovarian cancer diagnosis
  • CA125 and beyond
  • 1. Introduction
  • 2. Ovarian cancer and its pathogenesis
  • 2.1. Genetic drivers of ovarian cancer
  • 2.2. Ovarian cancer classification and histopathology
  • 2.3. Molecular pathways involved in the development of OC
  • 3. Challenges/limitations associated with OC diagnosis
  • 4. Molecular diagnosis of OC
  • 4.1. Secretory protein biomarkers in the diagnosis and prognosis of OC
  • 4.1.1. Cancer antigen 125 or carbohydrate antigen 125 (CA125)
  • 4.1.2. Human epididymis secretory protein 4 (HE4)
  • 4.1.3. Osteopontin (OPN)
  • 4.1.4. Kallikreins (KLKs)
  • 4.1.5. Vascular endothelial growth factor (VEGF)
  • 4.1.6. Human Prostasin (PSN)
  • 4.1.7. Transthyretin (TTR)
  • 4.1.8. Risk of ovarian malignancy algorithm (ROMA)
  • 4.2. Emerging potential of non-protein secretory biomarkers for OC detection
  • 4.2.1. microRNAs