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Series GSE3860 Query DataSets for GSE3860
Status Public on Dec 31, 2005
Title Comparison of Hutchinson–Gilford Progeria Syndrome fibroblast cell lines to control fibroblast cell lines
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Hutchinson–Gilford progeria syndrome (HGPS) is a rare genetic disease with widespread phenotypic features resembling premature aging. HGPS was recently shown to be caused by dominant mutations in the LMNA gene, resulting in the in-frame deletion of 50 amino acids near the carboxyl terminus of the encoded lamin A protein. Children with this disease typically succumb to myocardial infarction or stroke caused by severe atherosclerosis at an average age of 13 years. To elucidate further the molecular
pathogenesis of this disease, we compared the gene expression patterns of three HGPS fibroblast cell lines heterozygous for the LMNA mutation with three normal, age-matched cell lines. We defined a set of 361 genes (1.1% of the approximately 33 000 genes analyzed) that showed at least a 2-fold, statistically significant change. The most prominent categories encode transcription factors and extracellular matrix proteins, many of which are known to function in the tissues severely affected in HGPS. The most affected gene, MEOX2/GAX, is a homeobox transcription factor implicated as a negative regulator of mesodermal tissue proliferation. Thus, at the gene expression level, HGPS shows the hallmarks of a developmental disorder affecting mesodermal and mesenchymal cell lineages. The identification of a large number of genes implicated in atherosclerosis is especially valuable, because it provides clues to pathological processes that can now be investigated in HGPS patients or animal models.
Keywords: microarrays, Hutchinson–Gilford progeria syndrome, HGPS
 
Overall design Three fibroblast cell lines derived from HGPS patients were compared to three control fibroblast cell lines using Affymetrix HG-U133A and HG-133B probe arrays. Triplicates were used for each cell line. Total RNA was used in the analysis. Quantitation was done by MAS 5.0 software (Affymetrix).
 
Contributor(s) Csoka AB, English SB, Simkevich CP, Ginzinger DG, Butte AJ, Schatten GP, Rothman FG, Sedivy JM
Citation(s) 15268757
Submission date Dec 17, 2005
Last update date Aug 10, 2018
Contact name Sangeeta English
Organization name Children's Hospital
Street address 300 Longwood Avenue
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platforms (2)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
GPL97 [HG-U133B] Affymetrix Human Genome U133B Array
Samples (36)
GSM87553 HGPS AG10750 cell line, sample 1, A chip (AG10750_1_U133A.txt)
GSM87751 HGPS AG10750 cell line, sample 2, A chip (AG10750_2_U133A.txt)
GSM88282 HGPS AG10750 cell line, sample 3, A chip (AG10750_3_U133A.txt)
Relations
BioProject PRJNA94089

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
GSE3860_RAW.tar 119.9 Mb (http)(custom) TAR (of CEL)

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