Methodology Control (no treatment) Estrogen (5 uM) 4-nonylphenol (5 uM) Cultured Cells, Isolated RNA, RTed to cDNA Data analyzed by Spotfire software RT-PCR.

Slides:



Advertisements
Similar presentations
Microarray technology and analysis of gene expression data Hillevi Lindroos.
Advertisements

Parallel human genome analysis: Microarray-based expression monitoring of 1000 genes Mark Schena, Dari Shalon, Renu Heller, Andrew Chai, Patrick O. Brown,
Figure 1: (A) A microarray may contain thousands of ‘spots’. Each spot contains many copies of the same DNA sequence that uniquely represents a gene from.
DNA Arrays …DNA systematically arrayed at high density, –virtual genomes for expression studies, RNA hybridization to DNA for expression studies, –comparative.
What are microarrays? Microarrays consist of thousands of oligonucleotides or cDNAs that have been synthesized or spotted onto a solid substrate (nylon,
Introduce to Microarray
Gene_IDGene NameGene Symbol Fold change compared to control hCG retinol dehydrogenase 8 (all-trans) RDH82.09 hCG ankyrin repeat domain.
Analysis of microarray data
Chapter 7 Essential Concepts in Molecular Pathology Companion site for Molecular Pathology Author: William B. Coleman and Gregory J. Tsongalis.
Introduction to DNA Microarray Technology Steen Knudsen Uma Chandran.
Evaluating the Effects of Environmental Toxin 4-Nonylphenol and Estrogen on U937 Human Immune Cells Via Microarray Analysis Esop Baek and Celline Kim Manhasset.
Cell culturing and treatment U937 human immune cells (ATCC, USA) were cultured in RPMI1640 medium (Invitrogen, USA). Cells were kept in a 37ºC incubator.
CS491JH: Data Mining in Bioinformatics Introduction to Microarray Technology Technology Background Data Processing Procedure Characteristics of Data Data.
Transcriptional Regulation during Gravitropism in Arabidopsis Root Tips Heike Winter Sederoff, Jeffery M. Kimbrough, Raul Salinas-Mondragon and Christopher.
Microarray Analysis of Drosophila Development During Metamorphosis K. P. White, S. A. Rifkin P. Hurban and D. S. Hogness.
Microarrays and Gene Expression Analysis. 2 Gene Expression Data Microarray experiments Applications Data analysis Gene Expression Databases.
Primary Mets Node Patient 1Patient 2Patient 3 Primary Mets Node Patient 1Patient 2Patient 3 Primary Mets Node Patient 1Patient 2Patient 3 Primary Mets.
MCB 317 Genetics and Genomics Topic 11 Genomics. Readings Genomics: Hartwell Chapter 10 of full textbook; chapter 6 of the abbreviated textbook.
Epigenetic Control of Tamoxifen Resistant Breast Cancer Kristin Williams Arcaro Lab Thesis Resarch June 25, 2012 Kristin Williams Arcaro Lab Thesis Resarch.
Lecture 7. Functional Genomics: Gene Expression Profiling using
Microarrays and Gene Expression Arrays
DECIPHERING THE EARLY BOVINE HOST RESPONSE AFTER Brucella melitensis INFECTION ROSSETTI CA 1 * DRAKE K 2, LAWHON S 3, NUNES J 3, GULL T 3, KHARE S 3, EVERTS.
Microarray (Gene Expression) DNA microarrays is a technology that can be used to measure changes in expression levels or to detect SNiPs Microarrays differ.
A B Supporting Information Figure S1: Distribution of the density of expression intensities for the complete microarray dataset (A) and after removal of.
Fig. S1. Amino acid sequence alignment of MYBS3 proteins. MYBS3 protein sequences of Arabidopsis thaliana (MYBH; NP_199550); (At3g16350; NP_188256), Glycine.
Gene Sleuthing Lorraine Sartori Majid Masso Paul R. McCreary.
E14.5E16.5E18.5 Normalized mRNA level Get1 Nfix Smarcd3 A Supplementary Figure 1 (A) The microarray expression levels of bladder terminal differentiation.
Microarray Data Analysis The Bioinformatics side of the bench.
Gene Expression Analysis Gabor T. Marth Department of Biology, Boston College BI420 – Introduction to Bioinformatics.
Methodology U937 Human Immune Cells Control (No treatment) (n=4) Estrogen (5 uM) (n=4) 4-nonylphenol (5 uM) (n=4) Cultured Cells, RNA Isolation, RT (to.
Statistical Analysis for Expression Experiments Heather Adams BeeSpace Doctoral Forum Thursday May 21, 2009.
NCode TM miRNA Analysis Platform Identifies Differentially Expressed Novel miRNAs in Adenocarcinoma Using Clinical Human Samples Provided By BioServe.
Human cytomegalovirus (HCMV) is a member of the herpesvirus family. About 70-90% of the population is infected with HCMV. In healthy.
Microarray: An Introduction
The transcriptional program in the response of human fibroblasts to serum Iyer et. al. (1999) Presented by: Paya Sarraf Brendan Finicle.
Microarray Technology and Data Analysis Roy Williams PhD Sanford | Burnham Medical Research Institute.
Figure S1 (a) (b) Fig. S1. Hydroponics culture of Arabidopsis thaliana. (a) Illustration of the hydroponics system in the growth chamber. (b) close-up.
Date of download: 6/25/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Implication of SSAT by Gene Expression and Genetic.
Microarray Experiment Design and Data Interpretation
Copyright © 2015 by the American Osteopathic Association.
Functional Genomics in Evolutionary Research
Gene Chips.
Transitory dasatinib-resistant states in KITmut t(8;21) acute myeloid leukemia cells correlate with altered KIT expression  Markus D. Herrmann, Jochen.
Volume 63, Issue 1, Pages (July 2016)
Activated glucocorticoid and eicosanoid pathways in endometriosis
Arsenic suppresses gene expression in promyelocytic leukemia cells partly through Sp1 oxidation by Wen-Chien Chou, Hsuan-Yu Chen, Sung-Liang Yu, Linzhao.
Gene expression and genomic profiling reveal estrogen-independent ER transcriptional activity. Gene expression and genomic profiling reveal estrogen-independent.
Kobe C. Yuen, Baoshan Xu, Ian D. Krantz, Jennifer L. Gerton 
Revealing Global Regulatory Perturbations across Human Cancers
Effects of Etanercept Are Distinct from Infliximab in Modulating Proinflammatory Genes in Activated Human Leukocytes  Asifa S. Haider, Irma R. Cardinale,
Transcriptomic analysis of patients with tetralogy of Fallot reveals the effect of chronic hypoxia on myocardial gene expression  Mohamed T. Ghorbel,
Jinny Liu, Elizabeth Walter, David Stenger, Dzung Thach 
Volume 33, Issue 4, Pages (February 2009)
Jinny Liu, Elizabeth Walter, David Stenger, Dzung Thach 
TNFα Signaling Exposes Latent Estrogen Receptor Binding Sites to Alter the Breast Cancer Cell Transcriptome  Hector L. Franco, Anusha Nagari, W. Lee Kraus 
Volume 12, Issue 6, Pages (December 2003)
Volume 63, Issue 4, Pages (August 2016)
Revealing Global Regulatory Perturbations across Human Cancers
Profiling Motility Signal-Specific Genes in Primary Human Keratinocytes  Chieh-Fang Cheng, Jianhua Fan, Balaji Bandyopahdhay, Dennis Mock, Shengxi Guan,
Volume 16, Issue 4, Pages (November 2004)
Wei Jiang, Yuting Liu, Rui Liu, Kun Zhang, Yi Zhang  Cell Reports 
Volume 29, Issue 5, Pages (March 2008)
The BRD4 bromodomain is critical for expression of SASP genes.
Mesenchymal Stem Cell Features of Ewing Tumors
AZA treatment induces a distinct gene-expression pattern in stromal cells. AZA treatment induces a distinct gene-expression pattern in stromal cells. (A-C)
Multiplex Enhancer Interference Reveals Collaborative Control of Gene Regulation by Estrogen Receptor α-Bound Enhancers  Julia B. Carleton, Kristofer.
Figure 1. Identification of differentially expressed messenger RNAs (mRNAs) in the The Cancer Genome Atlas (TCGA) BRCA database. (A) Heat map of the log2-fold.
Heat map of genes for which CR significantly altered expression versus AL. Cluster analysis of genes significantly changed by the CR intervention compared.
Genome-wide Functional Analysis Reveals Factors Needed at the Transition Steps of Induced Reprogramming  Chao-Shun Yang, Kung-Yen Chang, Tariq M. Rana 
BRD4 expression and genomic distribution in B-CLL.
Presentation transcript:

Methodology Control (no treatment) Estrogen (5 uM) 4-nonylphenol (5 uM) Cultured Cells, Isolated RNA, RTed to cDNA Data analyzed by Spotfire software RT-PCR performed with ESR2 gene and beta-actin reference gene Applied cDNA to microarray chips. Which were then scanned for detection of gene expression by chemiluminescence U937 Human Immune Cells (ATTC, USA) Scanned chip containing DNA oligo information. A display of the gene profiling capabilities offered by microarray technology Figure 2: (A) Scatterplots of gene expression analyzed by DNA microarray. The probe ID’s for each gene is represented by the x-axis and the fold changes in gene expression for the experimental samples based on the fluorescence-based detection signals of the mRNA levels in the control are represented by the y-axis. (B) Remaining genes after filtering by modulation and normalization with the b-actin reference gene. Genes that exhibited 2-fold regulation AB Genes altered with E2 treatment after 48 hours Genes altered with 4-NP treatment after 48 hours Gene Ontology Database Gene_ID Gene_NameGene_Symbol hCG ;hCG estrogen receptor 2 (ER beta)ESR2 hCG ;hCG peroxiredoxin 5;estrogen-related receptor alpha ESRRA;PRDX 5 hCG ;hCG estrogen receptor bining proteinERBP hCG ;hCG peroxisome proliferative activated receptor, gamma, coactivator 1, beta PPARGC1B hCG ;hCG retinol dehydrogenase 8 (all-trans)RDH8 hCG ;hCG estrogen receptor 1ESR1 hCG ;hCG egl nine homolog 2 (C. elegans)EGLN2 hCG ;hCG ;hCG estrogen-related receptor betaESRRB hCG ;hCG DEAD (Asp-Glu-Ala-Asp) box polypeptide 54DDX54 hCG ;hCG ;hCG estrogen-related receptor betaESRRB hCG ;hCG RAS-like, estrogen-regulated, growth inhibitorRERG hCG ;hCG ;hCG UDP glycosyltransferase 2 family, polypeptide B4UGT2B4 hCG ;hCG tripartite motif-containing 47TRIM47 hCG ;hCG repressor of estrogen receptor activityREA hCG ;hCG breast cancer anti-estrogen resistance 3BCAR3 hCG ;hCG RNA binding motif protein 9RBM9 hCG ;hCG RNA binding motif protein 14RBM14 hCG ;hCG estrogen-related receptor gammaESRRG hCG ;hCG ;hCG UDP glycosyltransferase 2 family, polypeptide B4UGT2B4 hCG ;hCG peroxisome proliferative activated receptor, gamma, coactivator 1, beta PPARGC1B hCG ;hCG sulfotransferase family 1E, estrogen-preferring, member 1 SULT1E1 # Of Genes Induced By E2 and 4-NP by a > or = 2-Fold Change from the Control E24-NP Hierarchical Clustering Normalized Heat Map 14,913 (45.0%) 414 (1.2%) 54 (60.0%) 7 (7.8%) 8 (8.9%) 633 (1.9%) E24-NP All genes from the whole- genome nanochips (33,155) Genes from customized portfolio (90) BA Figure 3: (A) Venn Diagram which shows the number of genes that exhibited significant changes in gene expression after the application of E2 and concentrations of NP. (B) A normalized hierarchical clustering heat map performed in order to similarities of genes and to what extent they were affected. Genes that were downregulated significantly are illustrated by the green while red denotes genes that were upregulated by at least 2-fold. E2 (5uM) 4-NP (5uM) Signal-to-Noise Values of Four Genes Involved in Estrogen Signaling Figure 5: This figure indicates that E2 and NP have the potential to down regulate the estrogen receptor beta (ESR1) and the estrogen receptor related beta (ESRR-β) and up regulate repressor estrogen receptor activity (REA) (at their respective concentrations). ESR1 does not exhibit a significant pattern. These data appear to demonstrate that NP as well as enhanced estrogen levels diminishes estrogen beta activity negatively. Signal to Noise Values For Four genes From the Portfolio/List Probe_IDGene SymbolGene NameControl E2 5 µ M4NP 5 µ M ESR1estrogen receptor ESR2estrogen receptor 2 (ER beta) ESRRBestrogen-related receptor beta REA repressor of estrogen receptor activity Signal Responses from Scanned Chips Graphical Representation of Significantly Altered Genes Sample of the 90 Customized Portfolio of Genes (GeneEntrez, GeneOntology) Figure 7: RT-PCR Analysis of Intensity of ESR2 gene expression normalized with the internal control gene beta-actin. This data serves as a validation for the microarray analysis. RT-PCR Gene Expression Profile ESR2 β-actin Figure 6: These gels exhibit expression of the ESR2 gene the β-actin reference gene. Lane 1=control, Lane 2 =E2 5uM, Lane 3=control and Lane 4 = 4-NP 5uM. n=4