Dataset
Data from: Fine mapping quanitative trait loci affecting murine external ear tissue regeneration in the LG/J by SM/J advanced intercross line
15 Nov 2013
Abstract
External ear hole closure in LG/J mice represents a model of regenerative
response. It is accompanied by the formation of a blastema-like structure
and the re-growth of multiple tissues including cartilage. The ability to
regenerate tissue is heritable. An F34 advanced intercross line of mice
(Wustl:LG,SM-G34) was generated to identify genomic loci involved in ear
hole closure over a 30 day healing period. We mapped nineteen quantitative
trait loci (QTL) for ear hole closure. Individual gene effects are
relatively small (0.08 mm) and most loci have co-dominant effects with
phenotypically intermediate heterozygotes. QTL support regions were
limited to a median size of 2 Mb containing a median of 19 genes.
Positional candidate genes were evaluated using differential transcript
expression between LG/J and SM/J healing tissue, function analysis, and
bioinformatic analysis of SNPs in and around positional candidate genes of
interest. Analysis of the set of 34 positional candidate genes and those
displaying expression differences revealed over-representation of genes
involved in cell cycle regulation/DNA damage, cell migration and adhesion,
developmentally related genes, and metabolism. This indicates that the
healing phenotype in LG/J mice involves multiple physiological mechanisms.
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Details
- Title
- Data from: Fine mapping quanitative trait loci affecting murine external ear tissue regeneration in the LG/J by SM/J advanced intercross line
- Creators
- Ellen Heber-Katz - The Wistar InstituteJames M. Cheverud - Washington University School of MedicineHeather A. Lawson - Washington University School of MedicineKristine Bouckaert - Washington University School of MedicineElizabeth P. Blankenhorn - Drexel UniversityLaura Cort - Drexel UniversityAndrew V. Kossenkov - The Wistar InstituteLouise C. Showe - The Wistar InstituteKhamilia Bedelbaeva - The Wistar InstituteDmitri Gourevitch - The Wistar InstituteYong Zhang - The Wistar Institute
- Publisher
- Dryad
- Resource Type
- Dataset
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Other Identifier
- 991021930444904721