Gene Expression Profiling and Pathway Enrichment Analysis in Long-Term Survivors after Lung Transplantation with Normal Allograft Function

2020 ◽  
Vol 39 (4) ◽  
pp. S195
Author(s):  
B. Saez-Gimenez ◽  
A. Mendoza-Valderrey ◽  
M. Hernandez-Fuentes ◽  
R. Escobar ◽  
B. Cristina ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Transplantation ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Pathway Enrichment ◽  
Allograft Function ◽  
Long Term Survivors

scholarly journals The Carcinogenome Project: In-vitro Gene Expression Profiling of Chemical Perturbations to Predict Long-Term Carcinogenicity

2018 ◽  
Author(s):  
Amy Li ◽  
Xiaodong Lu ◽  
Ted Natoli ◽  
Joshua Bittker ◽  
Nisha Sipes ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Pathway Enrichment ◽  
Link Type ◽  
Chemical Perturbations

AbstractBackground: Most chemicals in commerce have not been evaluated for their carcinogenic potential. The current de-facto gold-standard approach to carcinogen testing adopts the two-year rodent bioassay, a time consuming and costly procedure. Alternative approaches, such as high-throughput in-vitro assays, show promise in addressing the limitations in carcinogen screening.Objectives: We developed a screening process for predicting chemical carcinogenicity and genotoxicity and characterizing modes of actions (MoAs) using in-vitro gene expression assays.Methods: We generated a large toxicogenomics resource comprising ~6,000 expression profiles corresponding to 330 chemicals profiled in HepG2 cells at multiple doses and in replicates. Predictive models of carcinogenicity were built using a Random Forest classifier. Differential pathway enrichment analysis was performed to identify pathways associated with carcinogen exposure. Signatures of carcinogenicity and genotoxicity were compared with external data sources including Drugmatrix and the Connectivity Map.Results: Among profiles with sufficient bioactivity, our classifiers achieved 72.2% AUC for predicting carcinogenicity and 82.3% AUC for predicting genotoxicity. Our analysis showed that chemical bioactivity, as measured by the strength and reproducibility of the transcriptional response, is not significantly associated with long-term carcinogenicity, as evidenced by the many carcinogenic chemicals that did not elicit substantial changes in gene expression at doses up to 40 μM. However, sufficiently high transcriptional bioactivity is necessary for a chemical to be used for prediction of carcinogenicity. Pathway enrichment analysis revealed several pathways consistent with literature review of pathways that drive cancer, including DNA damage and DNA repair. These data are available for download via https://clue.io/CRCGN_ABC, and a web portal for interactive query and visualization of the data and results is accessible at https://carcinogenome.org.Conclusions: We demonstrated a short-term in-vitro screening approach using gene expression profiling to predict long-term carcinogenicity and infer MoAs of chemical perturbations.

Integrated mRNA and miRNA expression profiling of long-term survivors with normal allograft function after lung transplantation

2019 ◽  
Author(s):  
Alberto Mendoza-Valderrey ◽  
Susana Gómez-Olles ◽  
Ricardo Gonzalo ◽  
Alex Sánchez-Pla ◽  
María P. Hernández-Fuentes ◽  
...  
Keyword(s):  
Lung Transplantation ◽  
Mirna Expression ◽  
Expression Profiling ◽  
Allograft Function ◽  
Mirna Expression Profiling ◽  
Long Term Survivors

scholarly journals Identification and Validation of Hub Genes Related to Meniscus Senescence Based on Gene Expression Profiling Analysis

2021 ◽  
Author(s):  
ming chen ◽  
Siqi Zhou ◽  
Huasong Shi ◽  
Hanwen Gu ◽  
Yinxian Wen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Enrichment Analysis ◽  
Functional Enrichment ◽  
Pathway Enrichment Analysis ◽  
Hub Genes ◽  
Meniscus Cells ◽  
Toxic Drugs ◽  
Profiling Analysis

Abstract Background: The incidence of meniscal injury is on the rise, partly due to the general aging of the population. The compositional change in the meniscus with aging would increase the tissue vulnerability of the meniscus, which would induce meniscus tearing. Here, we investigated the molecular mechanism of age-related meniscus degeneration with gene expression profiling analysis.Methods: The GSE45233 dataset, including 6 elderly meniscus samples and 6 younger meniscus samples, which were obtained from patients undergoing arthroscopic partial meniscectomy, was downloaded from the Gene Expression Omnibus (GEO) database for subsequent bioinformatics analysis. To screen the differential expression of mRNAs, identify the miRNAs targeting hub genes, and forecast the potentially toxic drugs, we completed a series of bioinformatics analyses, including functional and pathway enrichment analysis, protein-protein interaction network, hub genes screening, construction of a lncRNA–miRNA–mRNA network, and molecular docking of potential drugs. Furthermore, hub genes were examined in human senescent menisci, mouse senescent meniscus tissues and mouse meniscus cells stimulated by IL-1β.Results: In total, the most significant 4 hub genes (RRM2, AURKB, CDK1, and TIMP1), 5 miRNAs (hsa-miR-6810-5p, hsa-miR-4676-5p, hsa-miR-6877-5p, hsa-miR-8085, and hsa-miR-6133) that could regulate such 4 hub genes and potential toxic drugs (Cladribine, Danusertib, Barasertib, Riviciclib, and Dinaciclib) that may have a targeting effect on these genes, were finally identified. The functional enrichment results showed that hub genes were mainly concentrated in aging and regulation of the cell cycle process. Further pathways enrichment analysis of these miRNA revealed that these miRNAs were involved in the synthesis of glycosaminoglycans. The hub genes were decreased in meniscus cells in vitro and meniscus tissues in vivo, which indicated that hub genes were related to meniscus senescence.Conclusions: In a word, our current study would provide a basis for finding markers of the aging meniscus to a certain extent.

Gene expression profiling of the bone trabecula in patients with osteonecrosis of the femoral head by RNA sequencing

2019 ◽  
Vol 166 (6) ◽  
pp. 475-484
Author(s):  
Haobo Bai ◽  
Tingmei Chen ◽  
Qian Lu ◽  
Weiwen Zhu ◽  
Jian Zhang
Keyword(s):  
Gene Expression ◽  
Femoral Head ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Enrichment Analysis ◽  
Control Group ◽  
Pathway Enrichment Analysis ◽  
Bone Trabecula ◽  
Mrna Profiling ◽  
Normal Bone

Abstract Early diagnosis and treatment of osteonecrosis of the femoral head (ONFH) is challenging. Bone trabecula play a vital role in the severity and progression of ONFH. In the present study, the investigators used gene expression profiling of bone trabecula to investigate gene alterations in ONFH patients. Osteonecrotic bone trabecula (ONBT) such as necrosis, fibrosis, and lacuna were confirmed by histological examination in the patients. The adjacent ‘normal’ bone trabecula (ANBT) did not show any pathological changes. Gene sequencing data revealed that although ANBT showed no significant histological changes, alteration of mRNA profiling in ANBT was observed, similar to that in ONBT. Our results indicated that the alteration of mRNA profiling in ANBT may cause normal bone tissue to develop into necrotic bone. RNA-seq data indicated that 2,297 differentially abundant mRNAs were found in the ONBT group (1,032 upregulated and 1,265 downregulated) and 1,523 differentially abundant mRNAs in the ANBT group (744 upregulated and 799 downregulated) compared with the healthy control group. Gene ontology (GO) enrichment analysis suggested that fatty acid metabolism and degradation were the main zones enriched with differentially expressed genes (DEG). Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis indicated that peroxisome proliferator-activated receptor γ (PPAR-γ) pathway was the most significantly regulated pathway. Lipocalin-2 (LCN2), an osteoblast-enriched secreted protein, was significantly decreased in ONBT suggesting that downregulation of LCN2 might affect lipid metabolism and lead to hyperlipidemia, and thus promote pathogenesis of ONFH.

A Method of Pathway Enrichment Analysis Based Gene Expression Variability

2013 ◽  
Vol 40 (12) ◽  
pp. 1256
Author(s):  
XiaoDong JIA ◽  
XiuJie CHEN ◽  
Xin WU ◽  
JianKai XU ◽  
FuJian TAN ◽  
...  
Keyword(s):  
Gene Expression ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Expression Variability ◽  
Pathway Enrichment

Predictive value of gene expression profiling for long-term survival after heart transplantation

2017 ◽  
Vol 41 ◽  
pp. 27-31 ◽  
Author(s):  
Buntaro Fujita ◽  
Emir Prashovikj ◽  
Uwe Schulz ◽  
Jochen Börgermann ◽  
Jakub Sunavsky ◽  
...  
Keyword(s):  
Gene Expression ◽  
Heart Transplantation ◽  
Gene Expression Profiling ◽  
Predictive Value ◽  
Expression Profiling ◽  
Term Survival ◽  
Long Term Survival

scholarly journals Comparative pathway enrichment analysis in gastrointestinal cell lines Caco-2, HT-29, HEPG2, and colon fibroblasts using a custom expression panel for tight-junction and cytoskeletal regulatory genes

2019 ◽  
Author(s):  
JM Robinson
Keyword(s):  
Gene Expression ◽  
Comparative Analysis ◽  
Tight Junction ◽  
Cell Lines ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Intestinal Epithelial ◽  
Expression Data ◽  
Pathway Enrichment ◽  
Ht 29

AbstractThis brief report details results from a comparative analysis of Nanostring expression data between cell lines HEPG2, Caco-2, HT-29, and colon fibroblasts. Raw and normalized data are available publicly in the NCBI GEO/Bioproject databases. Results identify cell-line specific variations in gene expression relevant to intestinal epithelial function.

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