Flow cytometry and single nucleus sorting for Cre-based analysis of changes in transcriptional states

Partha Samadder1, Ning Weng1, Thomas Doetschman1,2,3

  • 1BIO5 Institute, University of Arizona, Tucson, Arizona.

Insights

Researchers developed new transgenic mouse lines that use Green Fluorescent Protein (GFP) to mark specific cell populations. This innovation aids in detecting early molecular changes in diseases like cancer by highlighting rare cell subsets.

Area of Science:

  • Molecular Biology
  • Genetics
  • Developmental Biology

Background:

  • Eukaryotic organs contain complex cell type interspersions crucial for function.
  • Organ dysfunction in diseases like cancer often begins with subtle changes in a small cell subset.
  • Detecting early molecular disease indicators is challenging due to the abundance of normal cells.

Purpose of the Study:

  • To create novel transgenic mouse models for identifying and isolating specific cell subpopulations.
  • To develop a tool for early detection of molecular changes associated with oncogenesis.
  • To facilitate the study of transcriptional alterations in disease states.

Main Methods:

  • Generation of transgenic mouse lines expressing a nuclear-localized histone 2B-Green Fluorescent Protein (GFP) fusion protein.
  • Utilized a Cre-lox system for inducible expression of GFP in specific cell populations.
  • Characterized the mouse lines using microscopy, flow cytometry and sorting, and single-nucleus Reverse-Transcription polymerase chain reaction (RT-PCR).

Main Results:

  • Successfully generated transgenic mouse lines where specific cells exhibit green fluorescent nuclei upon Cre recombinase activity.
  • Demonstrated the utility of these lines for purifying minority cell subpopulations.
  • Validated the method for analyzing transcriptional profiles of sorted single nuclei.

Conclusions:

  • The developed transgenic mouse lines provide a powerful tool for isolating and analyzing specific cell populations.
  • These lines are particularly valuable for studying early transcriptional changes in oncogenesis.
  • This technology enhances the ability to detect subtle molecular events within complex biological systems.