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Series GSE108368 Query DataSets for GSE108368
Status Public on May 26, 2020
Title Expression data from progeroid smooth muscle cells
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Hutchinson-Gilford Progeria syndrome (HGPS or Progeria) is a rare and fatal genetic condition, characterized by premature aging symptoms in children and it affects approximately 1 in 4-8 million newborns. Individuals with HGPS appear to show aging-related phenotypes at a much faster rate than normal, leaving young children with the appearance and health conditions of an aged individual. This syndrome causes changes in various organs and systems such as the skin, skeleton, hair, body fat and cardiovascular system. One of the hallmarks of the disease is the loss of SMCs in the medial layer of large arteries with replacement by collagen and extracellular matrix, and in many cases calcification.
We used microarrays to detail the global programme of gene expression underlying smooth muscle cell loss and identified distinct classes of up- and down-regulated genes during this process.
 
Overall design The analyses were performed on progeria smooth muscle cells derived from progeria iPSCs and healthy (N) smooth muscle cells derived from iPSCs at static conditions or cultured for 4 days in arterial flow conditions. In both cases total RNA from cells was extracted and gene expression was evaluated by a whole human genome microarray Human Gene 2.1 ST Array Strip from Affymetrix.
 
Citation(s) 32807790
Submission date Dec 20, 2017
Last update date Aug 31, 2020
Contact name Lino Ferreira
Organization name Faculty of Medicine
Street address Pólo das Ciências da Saúde,Unidade Central
City Coimbra
State/province Azinhaga de Santa Comba,
ZIP/Postal code 3000-354
Country Portugal
 
Platforms (1)
GPL17692 [HuGene-2_1-st] Affymetrix Human Gene 2.1 ST Array [transcript (gene) version]
Samples (16)
GSM2896241 healthy SMC_d0_biological rep1
GSM2896242 healthy SMC_d0_biological rep2
GSM2896243 healthy SMC_d0_biological rep3
Relations
BioProject PRJNA423278

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Supplementary file Size Download File type/resource
GSE108368_RAW.tar 82.9 Mb (http)(custom) TAR (of CEL, CHP)
Processed data included within Sample table

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