↓ Skip to main content

Colorectal Cancer

Overview of attention for book
Cover of 'Colorectal Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cell Line Models of Molecular Subtypes of Colorectal Cancer
  3. Altmetric Badge
    Chapter 2 Dissecting Oncogenic RTK Pathways in Colorectal Cancer Initiation and Progression
  4. Altmetric Badge
    Chapter 3 Identification of Response Elements on Promoters Using Site-Directed Mutagenesis and Chromatin Immunoprecipitation
  5. Altmetric Badge
    Chapter 4 Identification and Functional Analysis of Gene Regulatory Sequences Interacting with Colorectal Tumor Suppressors
  6. Altmetric Badge
    Chapter 5 Methods for In Vivo Functional Studies of Chromatin-Modifying Enzymes in Early Steps of Colon Carcinogenesis
  7. Altmetric Badge
    Chapter 6 The Colorectal Cancer Microenvironment: Strategies for Studying the Role of Cancer-Associated Fibroblasts
  8. Altmetric Badge
    Chapter 7 Methods for Assessing Apoptosis and Anoikis in Normal Intestine/Colon and Colorectal Cancer
  9. Altmetric Badge
    Chapter 8 Molecular Analysis of the Microbiome in Colorectal Cancer
  10. Altmetric Badge
    Chapter 9 Proteomics Analysis of Colorectal Cancer Cells
  11. Altmetric Badge
    Chapter 10 Autophagic Flux Assessment in Colorectal Cancer Cells
  12. Altmetric Badge
    Chapter 11 Classification of Colorectal Cancer in Molecular Subtypes by Immunohistochemistry
  13. Altmetric Badge
    Chapter 12 Stool DNA Integrity Method for Colorectal Cancer Detection
  14. Altmetric Badge
    Chapter 13 RT-qPCR for Fecal Mature MicroRNA Quantification and Validation
  15. Altmetric Badge
    Chapter 14 A Stool Multitarget mRNA Assay for the Detection of Colorectal Neoplasms
  16. Altmetric Badge
    Chapter 15 Colorectal Cancer Detection Using Targeted LC-MS Metabolic Profiling
  17. Altmetric Badge
    Chapter 16 Proteomic Profiling for Colorectal Cancer Biomarker Discovery
  18. Altmetric Badge
    Chapter 17 Tumor-Derived Microparticles to Monitor Colorectal Cancer Evolution
  19. Altmetric Badge
    Chapter 18 Molecular Testing for the Treatment of Advanced Colorectal Cancer: An Overview
  20. Altmetric Badge
    Chapter 19 Testing Cell-Based Immunotherapy for Colorectal Cancer
  21. Altmetric Badge
    Chapter 20 Patient-Derived Xenograft Models of Colorectal Cancer: Procedures for Engraftment and Propagation
  22. Altmetric Badge
    Chapter 21 Use of Organoids to Characterize Signaling Pathways in Cancer Initiation
  23. Altmetric Badge
    Chapter 22 Identification of Novel Molecules Targeting Cancer Stem Cells
Attention for Chapter 1: Cell Line Models of Molecular Subtypes of Colorectal Cancer
Altmetric Badge

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Cell Line Models of Molecular Subtypes of Colorectal Cancer
Chapter number 1
Book title
Colorectal Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7765-9_1
Pubmed ID
Book ISBNs
978-1-4939-7764-2, 978-1-4939-7765-9
Authors

Jennifer K. Mooi, Ian Y. Luk, John M. Mariadason, Mooi, Jennifer K., Luk, Ian Y., Mariadason, John M.

Abstract

Colorectal cancer (CRC) is a genetically diverse disease necessitating the need for well-characterized and reproducible models to enable its accurate investigation. Recent genomic analyses have confirmed that CRC cell lines accurately retain the key genetic alterations and represent the major molecular subtypes of primary CRC, underscoring their value as powerful preclinical models. In this chapter we detail the important issues to consider when using CRC cell lines, the techniques used for their appropriate molecular classification, and the methods by which they are cultured in vitro and as subcutaneous xenografts in immune-compromised mice. A panel of commonly available CRC cell lines that have been characterized for key molecular subtypes is also provided as a resource for investigators to select appropriate models to address specific research questions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Master 3 18%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Researcher 1 6%
Other 1 6%
Unknown 6 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 18%
Agricultural and Biological Sciences 3 18%
Medicine and Dentistry 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 8 47%