• Title/Summary/Keyword: Biomarker Genes

Search Result 128, Processing Time 0.024 seconds

Classification of Biological Effect of 1,763 MHz Radiofrequency Radiation Based on Gene Expression Profiles

  • Im, Chang-Nim;Kim, Eun-Hye;Park, Ae-Kyung;Park, Woong-Yang
    • Genomics & Informatics
    • /
    • v.8 no.1
    • /
    • pp.34-40
    • /
    • 2010
  • Radiofrequency (RF) radiation might induce the transcription of a certain set of genes as other physical stresses like ionizing radiation and UV. To observe transcriptional changes upon RF radiation, we exposed WI-38, human lung fibroblast cell to 1763 MHz of mobile phone RF radiation at 60 W/kg of specific absorption rate (SAR) for 24h with or without heat control. There were no significant changes in cell numbers and morphology after exposure to RF radiation. Using quantitative RT-PCR, we checked the expression of three heat shock protein (HSP) (HSPA1A, HSPA6 and HSP105) and seven stress-related genes (TNFRSF11B, FGF2, TGFB2, ITGA2, BRIP1, EXO1, and MCM10) in RF only and RF/HS groups of RF-exposed cells. The expressions of three heat shock proteins and seven stress-related genes were selectively changed only in RF/HS groups. Based on the expression of ten genes, we could classify thermal and non-thermal effect of RF-exposure, which genes can be used as biomarkers for RF radiation exposure.

Comparative co-expression analysis of RNA-Seq transcriptome revealing key genes, miRNA and transcription factor in distinct metabolic pathways in diabetic nerve, eye, and kidney disease

  • Asmy, Veerankutty Subaida Shafna;Natarajan, Jeyakumar
    • Genomics & Informatics
    • /
    • v.20 no.3
    • /
    • pp.26.1-26.19
    • /
    • 2022
  • Diabetes and its related complications are associated with long term damage and failure of various organ systems. The microvascular complications of diabetes considered in this study are diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy. The aim is to identify the weighted co-expressed and differentially expressed genes (DEGs), major pathways, and their miRNA, transcription factors (TFs) and drugs interacting in all the three conditions. The primary goal is to identify vital DEGs in all the three conditions. The overlapped five genes (AKT1, NFKB1, MAPK3, PDPK1, and TNF) from the DEGs and the co-expressed genes were defined as key genes, which differentially expressed in all the three cases. Then the protein-protein interaction network and gene set linkage analysis (GSLA) of key genes was performed. GSLA, gene ontology, and pathway enrichment analysis of the key genes elucidates nine major pathways in diabetes. Subsequently, we constructed the miRNA-gene and transcription factor-gene regulatory network of the five gene of interest in the nine major pathways were studied. hsa-mir-34a-5p, a major miRNA that interacted with all the five genes. RELA, FOXO3, PDX1, and SREBF1 were the TFs interacting with the major five gene of interest. Finally, drug-gene interaction network elucidates five potential drugs to treat the genes of interest. This research reveals biomarker genes, miRNA, TFs, and therapeutic drugs in the key signaling pathways, which may help us, understand the processes of all three secondary microvascular problems and aid in disease detection and management.

SAMD13 as a Novel Prognostic Biomarker and its Correlation with Infiltrating Immune Cells in Hepatocellular Carcinoma

  • Hye-Ran Kim;Choong Won Seo;Jae-Ho Lee;Sang Jun Han;Jongwan Kim
    • Biomedical Science Letters
    • /
    • v.28 no.4
    • /
    • pp.260-275
    • /
    • 2022
  • Sterile alpha motif (SAM) domains bind to various proteins, lipids, and RNAs. However, these domains have not yet been analyzed as prognostic biomarkers. In this study, SAM domain containing 13 (SAMD13), a member of the SAM domain, was evaluated to identify a novel prognostic biomarker in various human cancers, including hepatocellular carcinoma (HCC). Moreover, we identified a correlation between SAMD13 expression and immune cell infiltration in HCC. We performed bioinformatics analysis using online databases, such as Tumor Immune Estimation Resource, UALCAN, Kaplan-Meier plotter, LinkedOmics, and Gene Expression Profiling Interactive Analysis2. SAMD13 expression in HCC samples was significantly higher than that in normal liver tissue; additionally, SAMD13 was higher in primary tumors, various stages of cancer and grades of tumor, and status of nodal metastasis. Higher SAMD13 expression was also associated with poorer prognosis. SAMD13 expression positively correlated with CD8+ T cells, CD4+ T cells, B cells, neutrophils, macrophages, and dendritic cells. In the analysis of SAMD13 co-expression networks, positively related genes of SAMD13 were associated with a high hazard ratio in different types of cancer, including HCC. In biological function of SAMD13, SAMD13 mainly include spliceosome, ribosome biogenesis in eukaryote, ribosome, etc. These results suggest that SAMD13 may serve as a novel prognostic biomarker for HCC diagnosis and provide novel insights into tumor immunology in HCC.

Toxicogenomic Analysis and Identification of Estrogen Responsive Genes of Di (n-ethylhexyl) Phthalate in MCF-7 Cells

  • Kim, Youn-Jung;Yun, Hye-Jung;Ryu, Jae-Chun
    • Molecular & Cellular Toxicology
    • /
    • v.1 no.3
    • /
    • pp.149-156
    • /
    • 2005
  • Di (n-ethylhexyl) phthalate (DEHP) is thought to mimic estrogens in their action, and are called endocrine disrupting chemicals. DEHP is used in numerous consumer products, especially those made of flexible polyvinyl chloride and have been reported to be weakly estrogenic. In this study, DEHP were tested for estrogenic properties in vitro models and with microarray analysis. First, the E-screen assay was used to measure the proliferation of DEHP in MCF-7 cells, a human breast cancer cell line. DEHP induced an increase in MCF-7 cell proliferation at concentration of $10^{-4}M$. Second, we carried out a microarray analysis of MCF-7 cells treated with DEHP using human c-DNA microarray including 401 endocrine system related genes. Of the genes analyzed, 60 genes were identified showing significant changes in gene expression resulting from DEHP. Especially, 4 genes were repressed and 4 genes were induced by DEHP compared to $17{\beta}-estradiol$. Among these genes, trefoil factor 3 (intestinal), breast cancer 1, early onset and CYP1B1 are involved in estrogen metabolism and regulation. Therefore it suggests that these genes may be associated with estrogenic effect of the DEHP on transcriptional level. The rationale is that, as gene expression is a sensitive endpoint, alterations of these genes may act as useful biomarkers to define more precisely the nature and level of exposure to kinds of phthalates.

Screening of Differentially Expressed Genes in Diesel Oil-exposed Marine Fish Using DD-PCR

  • Woo, Seon-Ock;Yum, Seung-Shic;Yim, Un-Hyuk;Lee, Yaek-Kyun
    • Molecular & Cellular Toxicology
    • /
    • v.2 no.4
    • /
    • pp.251-256
    • /
    • 2006
  • The exploration of genes which expressions are changed by exposure to ecotoxicants or pollutants can provide the important information about the reaction mechanisms in the body as well as adaptation to exterior stimulus or environmental changes. Also they can be developed as biomarkers for the detection of environmental pollution. Differential display polymerase chain reaction (DD-PCR) technique has been usefully used to hunt the clones which expressions are up-regulated or down-regulated by exterior changes and this study aimed to search for those clones in diesel oil-exposed rockfish (Sebastes schlegeli) using DD-PCR. The RNA isolated from liver of 20 ppb diesel oil-exposed rockfish was used for screening of the differentially displayed genes and total 44 differentially expressed genes (DEG) are detected then their nucleotide sequences were analyzed. The present data provided the general information about the effect of diesel oil contamination on marine organism and further more the primary step in development of new biomarkers for marine environmental pollution or ecotoxicological stresses.

The Effect of Trichosanthes Kirilowii Maximowicz Extract and Trichosanthes Kirilowii Maximowicz Cheonghyeol Plus on Anti-Inflammatory Factor Expression in Human Umbilical Vein Endothelial Cells (HUVECs) (과루인 및 과루인청혈플러스가 인간 탯줄 정맥 내피 세포(Human umbilicl vein endothelial cells, HUVECs)에서 염증인자 발현 억제에 미치는 영향)

  • Kim, Hae-yoong;Seol, In-chan;Yoo, Ho-ryong;Kim, Yoon-sik
    • The Journal of Internal Korean Medicine
    • /
    • v.43 no.4
    • /
    • pp.514-528
    • /
    • 2022
  • Objective: To examine the effects of Trichosanthes kirilowii Maximowicz extract (TE) and Trichosanthes kirilowii Maxi mowicz Cheonghyeol Plus Phellinus linteus Cheonghyeol plus (TCP) on anti-inflammatory factor expression in human umbilical vein endothelial cells (HUVECs). Methods: HUVECs were activated with TNF-α and then treated with TE and TCP. The expression levels were then measured for intracellular genes (KLF2, eNOS, MCP-1, ICAM-1, and VCAM-1), proteins (KLF2, eNOS, MCP-1, ICAM-1, VCAM-1, ERK, and JNK, p38), and extracellular biomarkers (ICAM-1, VCAM-1, and MCP-1). Results: 1. TCP at concentrations of 100 ㎍/mL or greater significantly increased the expression of KLF2 and eNOS intracellular genes and significantly decreased the expression of ICAM-1, VCAM-1, and MCP-1 genes compared to the control group. 2. TCP at concentrations of 100 ㎍/mL or greater significantly increased the expression of KLF2, eNOS proteins compared to the control group, and significantly reduced the expression of VCAM-1, ICAM-1, MCP-1, ERK, and p38 proteins. However, JNK protein phosphorylation showed no significant change compared to the control group. 3. TCP at concentrations of 100 ㎍/mL or more significantly decreased the production of MCP-1, ICAM-1, and VCAM-1 extracellular biomarkers compared to the control group. 4. TE at a concentration of 100 ㎍/mL did not cause any significant change in the expression of intracellular genes or proteins, in the production of the extracellular biomarker MCP-1, or in the amount of JNK protein compared to the control group. Other intracellular genes, proteins, and extracellular biomarker expression showed the same trend as observed with TCP exposure. Conclusion: This study experimentally confirmed that TE and TCP could be effective in preventing or inhibiting various inflammatory vascular diseases due to their anti-inflammatory effects.

Cadmium Toxicity Monitoring Using Stress Related Gene Expressions in Caenorhabditis elegans

  • Roh, Ji-Yeon;Park, Sun-Young;Choi, Jin-Hee
    • Molecular & Cellular Toxicology
    • /
    • v.2 no.1
    • /
    • pp.54-59
    • /
    • 2006
  • The toxicity of cadmium on Caenorhabditis elegans was investigated to identify sensitive biomarkers for environmental monitoring and risk assessment. Stress-related gene expression were estimated as toxic endpoints Cadmium exposure led to an increase in the expression of most of the genes tested. The degree of increase was more significant in heat shock protein-16.1, metallothionein-2, cytochrome p450 family protein 35A2, glutathione S-transferase-4, superoxide dismutase-1, catalase-2, C. elegans p53-like protein-1, and apoptosis enhancer-1 than in other genes. The overall results indicate that the stress-related gene expressions of C. elegans have considerable potential as sensitive biomarkers for cadmium toxicity monitoring and risk assessment.

Finding Biomarker Genes for Type 2 Diabetes Mellitus using Chi-2 Feature Selection Method and Logistic Regression Supervised Learning Algorithm

  • Alshamlan, Hala M
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.2
    • /
    • pp.9-13
    • /
    • 2021
  • Type 2 diabetes mellitus (T2D) is a complex diabetes disease that is caused by high blood sugar, insulin resistance, and a relative lack of insulin. Many studies are trying to predict variant genes that causes this disease by using a sample disease model. In this paper we predict diabetic and normal persons by using fisher score feature selection, chi-2 feature selection and Logistic Regression supervised learning algorithm with best accuracy of 90.23%.

Identification of the Marker-Genes for Dioxin(2, 3, 7, 8- tetradibenzo-p-dioxin)-Induced Immune Dysfunction by Using the High-Density Oligonucleotide Microarray

  • Kim, Jeong-Ah;Lee, Eun-Ju;Chung, In Hye;Kim, Hyung-Lae
    • Genomics & Informatics
    • /
    • v.2 no.2
    • /
    • pp.75-80
    • /
    • 2004
  • In a variety of animal species, the perinatal exposure of experimental animals to the 2,3,7,8-tetrachlorodibenzo­p-dioxin (TCDD) leads to the immune dysfunction, which is more severe and persistent than that caused by adult exposure. We report here the changes of gene expression and the identification of the marker-genes representing the dioxin exposure. The expressions of the transcripts were analyzed using the 11 K oligonucleotide­microarray from the bone marrow cells of male C57BL/6J mice after an intraperitoneal injection of $1{\mu}g$ TCDD/kg body weight at various time intervals: gestational 6.5 day(G6.5), 13.5 day(G13.5), 18.5 day(G18.5), and postnatal 3 (P3W)and 6 week (P6W). The type of self-organizing maps(SOM) representing the specific exposure dioxin could be identified as follows; G6.5D(C14), G13.5D(C0, C5, C10, C18), G18.5D(7): P3W(C2, C21), and P6W(C4, C15, C20). The candidate marker-genes were restricted to the transcripts, which could be consistently expressed greater than $\pm$2-fold in three experiments. The resulting candidates were 85 genes, the characteristics of that were involved in cell physiology and cell functions such as cell proliferation and immune function. We identified the biomarker-genes for dioxin exposure: smc -like 2 from SOM C14 for the dioxin exposure at G6.5D, focal adhesion kinase and 6 other genes from C0, and protein tyrosine phosphatase 4a2 and 3 other genes from C5 for G13.5D, platelet factor 4 from C7 for G18.5D, fos from C2 for P3W.

Intragenic DNA Methylation Concomitant with Repression of ATP4B and ATP4A Gene Expression in Gastric Cancer is a Potential Serum Biomarker

  • Raja, Uthandaraman Mahalinga;Gopal, Gopisetty;Rajkumar, Thangarajan
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.11
    • /
    • pp.5563-5568
    • /
    • 2012
  • Based on our previous report on gastric cancer which documented ATP4A and ATP4B mRNA down-regulation in gastric tumors relative to normal gastric tissues, we hypothesized that epigenetic mechanisms could be responsible. ATP4A and ATP4B mRNA expression in gastric cancer cell lines AGS, SNU638 and NUGC-3 was examined using reverse transcriptase PCR (RT-PCR). AGS cells were treated with TSA or 5'-AzaDC and methylation specific PCR (MSP) and bisulfite sequencing PCR (BSP) analysis were performed. MSP analysis was on DNA from paraffin embedded tissues sections and plasma. Expression analysis revealed downregulation of ATP4A and ATP4B genes in gastric cancer cell lines relative to normal gastric tissue, while treatment with 5'-AzaDC re-activated expression of both. Search for CpG islands in their putative promoter regions did not indicate CpG islands (CGI) but only further downstream in the bodies of the genes. Methylation specific PCR (MSP) in the exon1 of the ATP4B gene and exon7 in ATP4A indicated methylation in all the gastric cancer cell lines tested. MSP analysis in tumor tissue samples revealed methylation in the majority of tumor samples, 15/19, for ATP4B and 8/8 for ATP4A. There was concordance between ATP4B and ATP4A down-regulation and methylation status in the tumour samples tested. ATP4B methylation was detectable in cell free DNA from gastric cancer patient's plasma samples. Thus ATP4A and ATP4B down-regulation involves DNA methylation and methylated ATP4B DNA in plasma is a potential biomarker for gastric cancer.