scholarly journals Coagulation and angiogenic gene expression profiles are defined by molecular subgroups of medulloblastoma: evidence for growth factor-thrombin cross-talk

2014 ◽  
Vol 12 (11) ◽  
pp. 1838-1849 ◽  
Author(s):  
E. D'Asti ◽  
M. Kool ◽  
S. M. Pfister ◽  
J. Rak
Keyword(s):  
Gene Expression ◽  
Growth Factor ◽  
Cross Talk ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Molecular Subgroups ◽  
Angiogenic Gene

Identification of the molecular subgroups in coronary artery disease by gene expression profiles

2019 ◽  
Vol 234 (9) ◽  
pp. 16540-16548 ◽  
Author(s):  
Xiao‐Yan Peng ◽  
Yong Wang ◽  
Haibo Hu ◽  
Xian‐Jin Zhang ◽  
Qi Li
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Molecular Subgroups ◽  
Artery Disease

scholarly journals Distinct gene expression profiles in norepinephrine- and epinephrine-producing hereditary and sporadic pheochromocytomas: activation of hypoxia-driven angiogenic pathways in von Hippel–Lindau syndrome

2004 ◽  
Vol 11 (4) ◽  
pp. 897-911 ◽  
Author(s):  
G Eisenhofer ◽  
T-T Huynh ◽  
K Pacak ◽  
F M Brouwers ◽  
M M Walther ◽  
...  
Keyword(s):  
Gene Expression ◽  
Growth Factor ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Tissue Growth ◽  
Vegf Receptor ◽  
Vascular Endothelial ◽  
Biochemical Phenotype ◽  
Von Hippel Lindau ◽  
Men 2

Pheochromocytomas in von Hippel–Lindau (VHL) syndrome produce exclusively norepinephrine, whereas those in multiple endocrine neoplasia type 2 (MEN 2) produce epinephrine. This study examined the pathways activated in VHL-associated pheochromocytomas by comparing gene expression profiles in VHL and MEN 2 tumors in relationship to profiles in sporadic norepinephrine- and epinephrine-producing tumors. Larger and more distinct differences in gene expression among hereditary than sporadic tumors indicated the importance of the underlying mutation to gene expression profiles. Many of the genes over-expressed in VHL compared with MEN 2 tumors were clearly linked to the hypoxia-driven angiogenic pathways that are activated in VHL-associated tumorigenesis. Such genes included those for the glucose transporter, vascular endothelial growth factor (VEGF), placental growth factor, angiopoietin 2, tie-1, VEGF receptor 2 and its coreceptor, neuropilin-1. Other up-regulated genes, such as connective tissue growth factor, cysteine-rich 61, matrix metalloproteinase 1, vascular endothelial cadherin, tenascin C, stanniocalcin 1, and cyclooxygenases 1 and 2 are known to be involved in VEGF-regulated angiogenesis. Shared differences in expression of subsets of genes in norepinephrine- versus epinephrine-producing hereditary and sporadic pheochromocytomas indicated other differences in gene expression that may underlie the biochemical phenotype. Over-expression of the hypoxia-inducible transcription factor, HIF-2α, in norepinephrine-predominant sporadic and VHL tumors compared with epinephrine-producing tumors indicates that expression of this gene depends on the noradrenergic biochemical phenotype. The findings fit with the known expression of HIF-2α in norepinephrine-producing cells of the sympathetic nervous system and might explain both the development and noradrenergic biochemical phenotype of pheochromocytomas in VHL syndrome.

302. FIBROID ASSOCIATED HEAVY MENSTRUAL BLEEDING: CORRELATION OF CLINICAL SYMPTOMS, DOPPLER ULTRASOUND ASSESSMENT OF VASCULATURE AND TISSUE GENE EXPRESSION PROFILES

2010 ◽  
Vol 22 (9) ◽  
pp. 102
Author(s):  
S. Tsiligiannis ◽  
M. Zaitseva ◽  
P. Coombs ◽  
P. Shekleton ◽  
B. Vollenhoven ◽  
...  
Keyword(s):  
Gene Expression ◽  
Doppler Ultrasound ◽  
Clinical Symptoms ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Heavy Menstrual Bleeding ◽  
Spectral Doppler ◽  
Ultrasound Assessment ◽  
Angiogenic Gene ◽  
Tissue Gene Expression

Understanding of the mechanisms that cause fibroid associated heavy menstrual bleeding (HMB) is limited. Despite many fibroids having a highly vascular peri-fibroid myometrial (PFM) zone, angiogenic gene expression in this area has never been investigated. The aim of this study was to correlate clinical symptoms, ultrasound appearances and tissue gene expression profiles in women scheduled for hysterectomy due to symptomatic fibroids. We hypothesised that fibroid heterogeneity, colour flow and spectral Doppler resistive indices would correlate with differences in gene expression profiles. It was thought and that increased peri-fibroid gene expression of key angiogenic genes would correlate with increased peri-fibroid vascularity. N = 6 patients underwent B-mode, colour and spectral Doppler ultrasound assessment. Following hysterectomy tissue samples collected from three areas – fibroid, PFM and distant myometrium (DM) were analysed using quantitative RT-PCR and a customised angiogenesis PCR array. A higher mean peak systolic velocity (PSV) in the PFM region when compared to mean PSV within the fibroid (P < 0.001) was seen. Differences in angiogenic gene expression were consistent with the heterogeneity of the clinical data collected. One fibroid sample showed dissimilar gene expression to all other fibroids; at ultrasound and sample collection significant degenerative features were observed. Fibroid heterogeneity within a single uterus was also demonstrated, with two fibroids from the one uterus having significantly dissimilar gene profiles and ultrasound appearances. No differences in gene expression were found between PFM and DM. Despite this, gene interaction maps showed different interaction of genes between fibroid and PFM regions compared to genes between the fibroid and the DM. These are the first molecular data demonstrating that the PFM region may be functionally distinct from distant myometrium.

scholarly journals Identification of the molecular subgroups in asthma by gene expression profiles: airway inflammation implications

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Min Li ◽  
Wenye Zhu ◽  
Ummair Saeed ◽  
Shibo Sun ◽  
Yan Fang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Status ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Gene Set Enrichment Analysis ◽  
Induced Sputum ◽  
Molecular Heterogeneity ◽  
Consensus Clustering ◽  
Molecular Subgroups ◽  
Hub Genes

Abstract Background Asthma is a heterogeneous disease and different phenotypes based on clinical parameters have been identified. However, the molecular subgroups of asthma defined by gene expression profiles of induced sputum have been rarely reported. Methods We re-analyzed the asthma transcriptional profiles of the dataset of GSE45111. A deep bioinformatics analysis was performed. We classified 47 asthma cases into different subgroups using unsupervised consensus clustering analysis. Clinical features of the subgroups were characterized, and their biological function and immune status were analyzed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and single sample Gene Set Enrichment Analysis (ssGSEA). Weighted gene co-expression network analysis (WGCNA) and protein–protein interaction (PPI) network were performed to identify key gene modules and hub genes. Results Unsupervised consensus clustering of gene expression profiles in asthma identified two distinct subgroups (Cluster I/II), which were significantly associated with eosinophilic asthma (EA) and paucigranulocytic asthma (PGA). The differentially expressed genes (DEGs) between the two subgroups were primarily enriched in immune response regulation and signal transduction. The ssGSEA suggested the different immune infiltration and function scores between the two clusters. The WGCNA and PPI analysis identified three hub genes: THBS1, CCL22 and CCR7. ROC analysis further suggested that the three hub genes had a good ability to differentiate the Cluster I from the Cluster II. Conclusions Based on the gene expression profiles of the induced sputum, we identified two asthma subgroups, which revealed different clinical characteristics, gene expression patterns, biological functions and immune status. The transcriptional classification confirms the molecular heterogeneity of asthma and provides a framework for more in-depth research on the mechanisms of asthma.

scholarly journals Unsupervised analysis reveals two molecular subgroups of serous ovarian cancer with distinct gene expression profiles and survival

2016 ◽  
Vol 142 (6) ◽  
pp. 1239-1252 ◽  
Author(s):  
Katarzyna M. Lisowska ◽  
Magdalena Olbryt ◽  
Sebastian Student ◽  
Katarzyna A. Kujawa ◽  
Alexander J. Cortez ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Serous Ovarian Cancer ◽  
Molecular Subgroups ◽  
Distinct Gene ◽  
Unsupervised Analysis
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