↓ Skip to main content

PLOS

Deletion of Porcn in Mice Leads to Multiple Developmental Defects and Models Human Focal Dermal Hypoplasia (Goltz Syndrome)

Overview of attention for article published in PLOS ONE, March 2012
Altmetric Badge

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
46 Mendeley
Title
Deletion of Porcn in Mice Leads to Multiple Developmental Defects and Models Human Focal Dermal Hypoplasia (Goltz Syndrome)
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0032331
Pubmed ID
Authors

Wei Liu, Timothy M. Shaver, Alfred Balasa, M. Cecilia Ljungberg, Xiaoling Wang, Shu Wen, Hoang Nguyen, Ignatia B. Van den Veyver

Abstract

Focal Dermal Hypoplasia (FDH) is a genetic disorder characterized by developmental defects in skin, skeleton and ectodermal appendages. FDH is caused by dominant loss-of-function mutations in X-linked PORCN. PORCN orthologues in Drosophila and mice encode endoplasmic reticulum proteins required for secretion and function of Wnt proteins. Wnt proteins play important roles in embryo development, tissue homeostasis and stem cell maintenance. Since features of FDH overlap with those seen in mouse Wnt pathway mutants, FDH likely results from defective Wnt signaling but molecular mechanisms by which inactivation of PORCN affects Wnt signaling and manifestations of FDH remain to be elucidated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Australia 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Ph. D. Student 8 17%
Professor 4 9%
Student > Doctoral Student 4 9%
Student > Master 4 9%
Other 6 13%
Unknown 9 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 41%
Biochemistry, Genetics and Molecular Biology 8 17%
Medicine and Dentistry 4 9%
Psychology 1 2%
Computer Science 1 2%
Other 2 4%
Unknown 11 24%