Towards quantitative and multiplexed in vivo functional cancer genomics

Ian P Winters1, Christopher W Murray2, Monte M Winslow3,4,5

  • 1Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.

Nature Reviews. Genetics
|September 30, 2018
PubMed

Insights

Researchers are accelerating the study of cancer genomics using advanced CRISPR-Cas9 technologies in mouse models. This allows for faster functional interrogation of genetic alterations in cancer, uncovering the importance of previously unknown genomic aberrations.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Large-scale sequencing reveals numerous genomic alterations in human tumors.
  • Genetically engineered mouse models are crucial for understanding cancer-associated genetic changes.
  • The functional significance of most cancer genomic aberrations remains largely unknown due to limitations of current models.

Purpose of the Study:

  • To accelerate the functional interrogation of cancer-associated genomic alterations in vivo.
  • To overcome the time, cost, and labor limitations of traditional genetically engineered mouse models.
  • To enable a broader understanding of the biological meaning of genomic aberrations in cancer.

Main Methods:

  • Utilizing CRISPR-Cas9-based strategies for rapid generation of somatic alterations.
  • Employing multiplexed and quantitative approaches for in vivo gene function ascertainment.
  • Leveraging advanced in vivo models for functional studies of cancer genomics.

Main Results:

  • Recent advances have significantly accelerated the functional analysis of cancer-associated alterations.
  • CRISPR-Cas9 technologies enable rapid creation of complex somatic alterations.
  • Multiplexed and quantitative methods enhance the ability to determine gene function in vivo.

Conclusions:

  • New technologies are rapidly advancing the functional study of cancer genomics.
  • The functional importance of the majority of genomic aberrations in cancer is becoming increasingly clear.
  • These advancements promise to broaden the utility of in vivo models for cancer research.

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