Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao The Journal of Urolo...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
The Journal of Urology
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 6 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Unraveling the Genetic Landscape of Bladder Development in Mice

Authors: Price, Karen L.; Woolf, Adrian S.; Long, David A.;

Unraveling the Genetic Landscape of Bladder Development in Mice

Abstract

To better understand the pathobiology of human congenital bladder abnormalities and disorders associated with dedifferentiation, such as bladder cancer, we must first unravel the biology of normal bladder development. Therefore, we performed microarray analysis focusing on determining the gene expression profile at the initiation of bladder development.RNA was extracted from embryonic day 13 and 18 mouse bladders (anatomically equivalent to 7 and 13 weeks of human gestation) and gene expression was evaluated using microarrays. Alterations in select genes of biological interest were confirmed using real-time quantitative polymerase chain reaction and localization was determined by immunohistochemistry.The genetic profile in the initiating mouse bladder at embryonic day 13 was dominated by transcription factors, retinoic acid signaling genes, Eph/ephrin bidirectional signaling molecules and genes associated with regulating cell cycle and differentiation. Later in development at embryonic day 18 genes associated with smooth muscle, innervation and epithelial differentiation were up-regulated. In addition, we examined the functional role of midkine, which was highly expressed at embryonic day 13, using organ culture and to our knowledge we provide the first evidence that this growth factor up-regulates molecules associated with bladder smooth muscle differentiation.These data provide novel insights into molecules that orchestrate bladder development and highlight genes that may be involved in diseases associated with abnormal differentiation.

Country
United Kingdom
Related Organizations
Keywords

Transcription, Genetic, Reverse Transcriptase Polymerase Chain Reaction, Biopsy, Needle, Urinary Bladder, growth and development, Gene Expression Regulation, Developmental, Mice, Inbred Strains, Microarray Analysis, midkine, Immunohistochemistry, Sensitivity and Specificity, Fetal Development, Mice, gene expression, Animals, Intercellular Signaling Peptides and Proteins, RNA, microarray analysis, urinary bladder

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Average
Average
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!