Редактирование: PDGFA

Platelet-derived growth factor subunit A precursor (PDGF subunit A) (PDGF-1) (Platelet-derived growth factor A chain) (Platelet-derived growth factor alpha polypeptide) [PDGF1]

==Publications==

{{medline-entry
|title=Different gene expression patterns in the bone tissue of aging postmenopausal osteoporotic and non-osteoporotic women.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/18074071
|abstract=To identify genes that are differently expressed in osteoporotic and non-osteoporotic human bone and to describe the relationships between these genes using multivariate data analysis. Seven bone tissue samples from postmenopausal osteoporotic patients and 10 bone tissue samples from postmenopausal non-osteoporotic women were examined in our study. Messenger RNA was prepared from each sample and reverse transcribed to cDNA. The expression differences of 87 selected genes were analyzed in a Taqman probe-based quantitative real-time RT-PCR system. A Mann-Whitney U-test indicated significant differences in the expression of nine genes (p < or = 0.05). Seven of these nine genes-[[ALPL]], [[COL1A1]], [[MMP2]], [[MMP13]], [[MMP9]], [[PDGFA]], [[NFKB1]]-were significantly downregulated in the bone tissue of osteoporotic women, while [[CD36]] and [[TWIST2]] were significantly upregulated in osteoporotic patients. Principal components analysis was used to evaluate data structure and the relationship between osteoporotic and non-osteoporotic phenotypes based on the multiple mRNA expression profiles of 78 genes. Canonical variates analysis demonstrated further that osteoporotic and non-osteoporotic tissues can be distinguished by expression analysis of genes coding growth factors/non-collagen matrix molecules, and genes belonging to the canonical TGFB pathway. Significant differences observed in gene expression profiles of osteoporotic and non-osteoporotic human bone tissues provide further insight into the pathogenesis of this disease. Characterization of the differences between osteoporotic and non-osteoporotic bones by expression profiling will contribute to the development of diagnostic tools in the future.
|mesh-terms=* Aged
* Aging
* Bone and Bones
* Down-Regulation
* Female
* Gene Expression Profiling
* Gene Expression Regulation
* Genetic Variation
* Humans
* Intercellular Signaling Peptides and Proteins
* Middle Aged
* Multivariate Analysis
* Osteoporosis, Postmenopausal
* Principal Component Analysis
* Proteins
* RNA, Messenger
* Reverse Transcriptase Polymerase Chain Reaction
* Transforming Growth Factor beta
* Up-Regulation

|full-text-url=https://sci-hub.do/10.1007/s00223-007-9092-3
}}