rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Pancreatic Cancer
    sub title: Methods and Protocols
  name:
    name part: Su, Gloria H.
    role:
      role term: edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2005
    edition: 1st ed. 2005.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: 1 Online-Ressource (XII, 352 p.
  abstract: In the last decade, major progress has been made in identifying the critical oncogenes and tumor-suppressor genes that can cause pancreatic cancer. In Pancreatic Cancer: Methods and Protocols, leading clinicians and scientists from prestigious research institutes and cancer centers present in readily reproducible format the classical techniques that have contributed to these advances in pancreatic research and introduce new strategies that should produce future breakthroughs across the field of cancer biology. The authors provide a broad range of methods for the molecular, biochemical, pathological, and statistical analyses of both sporadic and familial pancreatic cancers, methods that can be applied not only to basic, but also to translational pancreatic research. Topics covered include in vitro cell cultures, in vivo mouse models, protein studies, mutation analysis, and treatment development. The protocols follow the successful Methods in Molecular Medicine™ series format, each one offering step-by-step laboratory instructions, an introduction outlining the principle behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and highly practical, Pancreatic Cancer: Methods and Protocols offers those interested in either basic or translational research an ambitious collection of essential yet novel methods for pancreatic cancer research, methods that can also readily be applied broadly throughout cancer research.
  table of contents: Identification and Analysis of Precursors to Invasive Pancreatic Cancer -- Optimal Molecular Profiling of Tissue and Tissue Components -- Immunohistochemistry and In Situ Hybridization in Pancreatic Neoplasia -- Practical Methods for Tissue Microarray Construction -- Xenografting and Harvesting Human Ductal Pancreatic Adenocarcinomas for DNA Analysis -- Culture and Immortalization of Pancreatic Ductal Epithelial Cells -- DNA Methylation Analysis in Human Cancer -- Digital Single-Nucleotide Polymorphism Analysis for Allelic Imbalance -- Representational Difference Analysis as a Tool in the Search for New Tumor Suppressor Genes -- Serial Analyses of Gene Expression (SAGE) -- Oligonucleotide-Directed Microarray Gene Profiling of Pancreatic Adenocarcinoma -- Identification of Differentially Expressed Proteins in Pancreatic Cancer Using a Global Proteomic Approach -- Detection of Telomerase Activity in Patients with Pancreatic Cancer -- Serological Analysis of Expression cDNA Libraries (SEREX) -- Modeling Pancreatic Cancer in Animals to Address Specific Hypotheses -- Strategies for the Use of Site-Specific Recombinases in Genome Engineering -- Primary Explant Cultures of Adult and Embryonic Pancreas -- Zebrafish as a Model for Pancreatic Cancer Research -- Development of a Cytokine-Modified Allogeneic Whole Cell Pancreatic Cancer Vaccine -- Overview of Linkage Analysis.
  note: edited by Gloria H. Su.
  subject:
    topic: Oncology
  subject:
    topic: Oncology
  classification: RC254-282
  classification: 616.994
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    note: Druckausgabe
  related item:
    note: Druckausgabe
  related item:
    title info:
      title: Methods in Molecular Medicine, 103
  identifier: 9781592597802
  identifier: https://doi.org/10.1385/1592597807
  record info:
    record creation date: 100301
    record change date: 20260209062029.0
    record identifier: 9947824645306443