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eagle-i ID


Resource Type

  1. Mus musculus


  1. Resource Description
    This transgenic mouse system uses the MMTV-LTR to drive expression of the reverse tetracycline-dependent transactivator rtTA. Transgene expression using this system can be rapidly induced and deinduced, is highly mammary specific, can be reproducibly titrated over a wide range of expression levels, and is essentially undetectable in the uninduced state. This system permits transgene expression to be restricted to any desired stage of postnatal mammary gland development. Restriction fragments containing the transgene MMTV-<i>rtTA</i>-pA were isolated from vector sequences and prepared for microinjection into fertilized oocytes. The transgenic lines was created on an inbred FVB/N background. Transgene expression was induced in mice by replacing normal drinking water with 5% sucrose containing doxycycline.
  2. Additional Name
  3. Additional Name
  4. Additional Name
    Mammary-specific doxycycline-inducible transgenic mouse model
  5. Related Publication or Documentation
    Dose-dependent oncogene-induced senescence in vivo and its evasion during mammary tumorigenesis
  6. Related Publication or Documentation
    Impact of p53 loss on reversal and recurrence of conditional Wnt-induced tumorigenesis
  7. Related Publication or Documentation
    A novel doxycycline-inducible system for the transgenic analysis of mammary gland biology
  8. Related Publication or Documentation
    Conditional activation of Neu in the mammary epithelium of transgenic mice results in reversible pulmonary metastasis
  9. Related Publication or Documentation
    Lack of sustained regression of c-MYC-induced mammary adenocarcinomas following brief or prolonged MYC inactivation
  10. Parental Strain Name
  11. Location
    Chodosh Laboratory
Provenance Metadata About This Resource Record
  1. workflow state
  2. contributor
    ggrant (Gregory Grant)
  3. created
  4. creator
  5. modified
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016