Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA115779 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression profiling of AOS Patient fibroblasts against Control fibroblasts
2025-01-23 | E-MTAB-5067 | ExpressionAtlas
Project description:Expression data from (mouse) normal lung fibroblasts and carcinoma-associated fibroblasts
2015-07-15 | E-GEOD-48397 | ExpressionAtlas
Project description:Gene expression profiling of lung adenocarcinomas and normal lung tissue
2025-01-24 | E-GEOD-43458 | ExpressionAtlas
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
Project description:Genomic differences distinguish the myofibroblast phenotype of distal lung from airway fibroblasts
| PRJNA137313 | ENA
Project description:Gene expression profiling of the adjacent airway field cancerization in early stage NSCLC
2025-01-24 | E-GEOD-44077 | ExpressionAtlas
Project description:Comparison of gene expression profiling of human lung at four developmental stages and lung adenocarcioma
2025-01-24 | E-GEOD-43767 | ExpressionAtlas
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression.
2011-02-19 | GSE20463 | GEO
Project description:Transcription profiling by array of CDC7 siRNA knockdown in human embryonic lung fibroblasts
2025-01-22 | E-MEXP-2115 | ExpressionAtlas
Project description:ABSTRACT Background: Primary human distal lung/parenchymal fibroblasts (DLF) exhibit a different phenotype from airway fibroblasts (AF), including the expression of high levels of alpha-SMA. The scope of the differences and the mechanisms driving them are unknown. We hypothesized that the distinct fibroblast characteristics based on lung region predicted a broad range of genomic differences which contribute to distinctly different functional pathway activation in AF and DLF. Methods and Findings: To investigate whether comprehensive gene expression patterns vary between AF and DLF, we compared global gene expression profiles of 3 matched pairs of primary human fibroblasts isolated from proximal and distal lung. 194 transcripts were upregulated in AF, and 290 transcripts upregulated in DLF. Quantitative real-time PCR (qRT-PCR) from both asthmatic and normal subjects confirmed the validity of microarray data (n = 8). Further analysis identified distinct pathway activation patterns, including the identification of the TGF-β receptor/SMAD3 signaling pathway as critical to the phenotypic differences in AF and DLF. The functional impact of these molecular differences on AF and DLF was then analyzed using Western blot, qRT-PCR, ELISA and gene knock-down approaches. TGF-β receptor/SMAD2-3 pathway analysis confirmed the contribution of higher TGF-β1 expression and accompanying SMAD3 and JNK activation to the increased alpha-SMA level seen in DLF. There are two limitations associated with our work. First, the microarray sample size was small. Second, for ethical reasons, a large majority of our data were from asthmatic subjects, only one pair of airway and distal lung tissues from a subject without knowing preexisting lung disease matched for age and smoking status was available. In this single normal subject, the same pattern of differences existed, supporting the concept that these genomic differences are regional, rather than disease-related. Conclusions: These findings demonstrated marked molecular and functional differences for these two lung regional fibroblast populations. These results suggest that airway and parenchymal fibroblasts differ in their responses to injury, repair, and remodeling in the lungs. There are likely profound implications of these observations for understanding mechanisms of development of fibrotic lung diseases as well as approaching therapy. In order to identify the underlying molecular differences between airway- and distal lung fibroblasts, microarray analysis was performed on 3 different matched pairs of fibroblasts.
2011-07-21 | E-GEOD-19362 | biostudies-arrayexpress