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Series GSE72057 Query DataSets for GSE72057
Status Public on Sep 11, 2015
Title Identification of conserved and novel microRNAs during tail regeneration in the Mexican Axolotl
Organism Ambystoma mexicanum
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary The Mexican axolotl (Ambystoma mexicanum) is one member of a select group of vertebrate animals that has retained the amazing ability to regenerate multiple body parts. In addition to being an important model system for regeneration, the axolotl is also a leading model system for developmental biologists. Many genes used in development have been identified to be reused again during regeneration, however how this molecular circuitry is controlled during regeneration is unknown. In recent years microRNAs have been identified as key regulators of gene expression during development, in many diseases and also in regeneration. Here we have used deep sequencing combined with qRT-PCR to identify microRNAs that are involved in regulating regeneration in axolotl. This approach has enabled us to identify well known families of microRNAs and in addition to identify putative novel microRNAs that differentially regulated in the regenerating tissue. These findings suggest that microRNAs may play key roles in managing the spatial and temporal expression of genes important for ensuring that the correct tissues are regenerated.
 
Overall design small RNA Sequencing (2 samples) in Ambystoma Mexicanum
Web link https://github.com/micahgearhart/amex-miR
 
Contributor(s) Echeverri K, Gearhart M
Citation(s) 26378530
Submission date Aug 13, 2015
Last update date May 15, 2019
Contact name Micah Gearhart
E-mail(s) gearh006@umn.edu
Organization name University of Minnesota
Department Genetics, Cell Biology and Development
Street address 6-160 Jackson Hall, 321 Church St.
City Minneapolis
State/province MN
ZIP/Postal code 55455
Country USA
 
Platforms (1)
GPL20805 Illumina Genome Analyzer (Ambystoma mexicanum)
Samples (2)
GSM1853825 Control
GSM1853826 Blastema
Relations
BioProject PRJNA292834
SRA SRP062393

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE72057_Sup_Table_1.csv.gz 780.7 Kb (ftp)(http) CSV
GSE72057_Sup_Table_2.csv.gz 223.1 Kb (ftp)(http) CSV
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Processed data are available on Series record
Raw data are available in SRA

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