Inducible and neuron-specific gene expression in the adult mouse brain with the rtTA2S-M2 system

genesis ◽  
2005 ◽  
Vol 43 (4) ◽  
pp. 205-212 ◽  
Author(s):  
Aubin Michalon ◽  
Kyoko Koshibu ◽  
Karsten Baumgärtel ◽  
Dominique Haingotiana Spirig ◽  
Isabelle M. Mansuy
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Specific Gene ◽  
Adult Mouse Brain ◽  
Specific Gene Expression

scholarly journals Regional and strain-specific gene expression mapping in the adult mouse brain

2000 ◽  
Vol 97 (20) ◽  
pp. 11038-11043 ◽  
Author(s):  
R. Sandberg ◽  
R. Yasuda ◽  
D. G. Pankratz ◽  
T. A. Carter ◽  
J. A. Del Rio ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Specific Gene ◽  
Adult Mouse Brain ◽  
Specific Gene Expression ◽  
Gene Expression Mapping

scholarly journals Cell-Type-Specific Gene Expression Profiling in Adult Mouse Brain Reveals Normal and Disease-State Signatures

Cell Reports ◽  
2019 ◽  
Vol 26 (9) ◽  
pp. 2477-2493.e9 ◽  
Author(s):  
Nicolas Merienne ◽  
Cécile Meunier ◽  
Anne Schneider ◽  
Jonathan Seguin ◽  
Satish S. Nair ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Mouse Brain ◽  
Expression Profiling ◽  
Adult Mouse ◽  
Specific Gene ◽  
Cell Type ◽  
Adult Mouse Brain ◽  
Specific Gene Expression ◽  
Cell Type Specific

scholarly journals Replicability of spatial gene expression atlas data from the adult mouse brain

2020 ◽  
Author(s):  
Shaina Lu ◽  
Cantin Ortiz ◽  
Daniel Fürth ◽  
Stephan Fischer ◽  
Konstantinos Meletis ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Spatial Data ◽  
Adult Mouse ◽  
Brain Area ◽  
Physical Distance ◽  
Mammalian Brain ◽  
Data Types ◽  
Adult Mouse Brain ◽  
Whole Brain

AbstractBackgroundSpatial gene expression is particularly interesting in the mammalian brain, with the potential to serve as a link between many data types. However, as with any type of expression data, cross-dataset benchmarking of spatial data is a crucial first step. Here, we assess the replicability, with reference to canonical brain sub-divisions, between the Allen Institute’s in situ hybridization data from the adult mouse brain (ABA) and a similar dataset collected using Spatial Transcriptomics (ST). With the advent of tractable spatial techniques, for the first time we are able to benchmark the Allen Institute’s whole-brain, whole-transcriptome spatial expression dataset with a second independent dataset that similarly spans the whole brain and transcriptome.ResultsWe use LASSO, linear regression, and correlation-based feature selection in a supervised learning framework to classify expression samples relative to their assayed location. We show that Allen reference atlas labels are classifiable using transcription, but that performance is higher in the ABA than ST. Further, models trained in one dataset and tested in the opposite dataset do not reproduce classification performance bi-directionally. Finally, while an identifying expression profile can be found for a given brain area, it does not generalize to the opposite dataset.ConclusionsIn general, we found that canonical brain area labels are classifiable in gene expression space within dataset and that our observed performance is not merely reflecting physical distance in the brain. However, we also show that cross-platform classification is not robust. Emerging spatial datasets from the mouse brain will allow further characterization of cross-dataset replicability.

scholarly journals Temporally and spatially controllable gene expression and knockout in mouse urothelium

2010 ◽  
Vol 299 (2) ◽  
pp. F387-F395 ◽  
Author(s):  
Haiping Zhou ◽  
Yan Liu ◽  
Feng He ◽  
Lan Mo ◽  
Tung-Tien Sun ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reporter Gene ◽  
Adult Mouse ◽  
Background Activity ◽  
Gene Overexpression ◽  
Specific Gene ◽  
Urothelial Cells ◽  
Disease Pathogenesis ◽  
Specific Gene Expression ◽  
Mouse Urothelium

Urothelium that lines almost the entire urinary tract performs important functions and is prone to assaults by urinary microbials, metabolites, and carcinogens. To improve our understanding of urothelial physiology and disease pathogenesis, we sought to develop two novel transgenic systems, one that would allow inducible and urothelium-specific gene expression, and another that would allow inducible and urothelium-specific knockout. Toward this end, we combined the ability of the mouse uroplakin II promoter (mUPII) to drive urothelium-specific gene expression with a versatile tetracycline-mediated inducible system. We found that, when constructed under the control of mUPII, only a modified, reverse tetracycline trans-activator (rtTA-M2), but not its original version (rtTA), could efficiently trans-activate reporter gene expression in mouse urothelium on doxycycline (Dox) induction. The mUPII/rtTA-M2-inducible system retained its strict urothelial specificity, had no background activity in the absence of Dox, and responded rapidly to Dox administration. Using a reporter gene whose expression was secondarily controlled by histone remodeling, we were able to identify, colocalize with 5-bromo-2-deoxyuridine incorporation, and semiquantify newly divided urothelial cells. Finally, we established that, when combined with a Cre recombinase under the control of the tetracycline operon, the mUPII-driven rtTA-M2 could inducibly inactivate any gene of interest in mouse urothelium. The establishment of these two new transgenic mouse systems enables the manipulation of gene expression and/or inactivation in adult mouse urothelium at any given time, thus minimizing potential compensatory effects due to gene overexpression or loss and allowing more accurate modeling of urothelial diseases than previously reported constitutive systems.

Using the Allen gene expression atlas of the adult mouse brain to gain further insight into the physiological significance of TAG-1/Contactin-2

2020 ◽  
Vol 225 (7) ◽  
pp. 2045-2056
Author(s):  
Ilias Kalafatakis ◽  
Konstantinos Kalafatakis ◽  
Alexandros Tsimpolis ◽  
Nikos Giannakeas ◽  
Markos Tsipouras ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Physiological Significance ◽  
Adult Mouse Brain ◽  
Gene Expression Atlas ◽  
Expression Atlas ◽  
Insight Into

scholarly journals Adult mouse brain gene expression patterns bear an embryologic imprint

2005 ◽  
Vol 102 (29) ◽  
pp. 10357-10362 ◽  
Author(s):  
M. A. Zapala ◽  
I. Hovatta ◽  
J. A. Ellison ◽  
L. Wodicka ◽  
J. A. Del Rio ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Adult Mouse Brain ◽  
Brain Gene Expression

scholarly journals Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain

2008 ◽  
Vol 9 (1) ◽  
pp. 153 ◽  
Author(s):  
Christopher Lau ◽  
Lydia Ng ◽  
Carol Thompson ◽  
Sayan Pathak ◽  
Leonard Kuan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Adult Mouse Brain
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