Investigation Title Cardiac gene expression and systemic cytokine profile are complementary in a murine model of post ischemic heart failure
Comment[Submitted Name] Cardiac gene expression and systemic cytokine profile are complementary in a murine model of post ischemic heart failure
Experimental Design transcription profiling by array
Experimental Design Term Source REF EFO
Comment[SecondaryAccession]
Comment[SecondaryAccession] GSE18703
Comment[ArrayExpressReleaseDate] 2010-06-20
Comment[AEMIAMESCORE] 4
Comment[ArrayExpressAccession] E-GEOD-18703
Comment[MAGETAB TimeStamp_Version] 2010-08-03 16:06:40 Last Changed Rev: 13058
Experimental Factor Name BIOSOURCEPROVIDER TISSUE
Experimental Factor Type BioSourceProvider tissue
Experimental Factor Term Source REF
Person Last Name Iacobas Costa Lachtermacher Esporcatte Montalvão Iacobas Iacobas Spray Dohmann Campos de Carvalho Goldenberg Rodrigues Rabischoffisky Belem Vasconcellos Faria Neto
Person First Name Dumitru P S B F D S D H A R D A L R H
Person Mid Initials Andrei C L A C F C C C C
Person Email diacobas@aecom.yu.edu
Person Phone 718-430-4138
Person Fax 718-430-8594
Person Address Neuroscience, Albert Einstein College of Medicine, 1300 Morris Parc Avenue, Bronx, NY, USA
Person Affiliation Albert Einstein College of Medicine
Person Roles submitter
Person Roles Term Source REF The MGED Ontology
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Date of Experiment
Public Release Date 2010-06-20
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Experiment Description After myocardial infarction (MI) activation of the immune system and inflammatory mechanisms, among others, can lead to ventricular remodeling and heart failure (HF). Interaction between these systemic alterations and corresponding changes in the heart has not been extensively examined in the setting of chronic ischemia. The main purpose of this study was to investigate alterations in cardiac gene and systemic cytokine profile in mice with post-ischemic HF. Plasma was tested for IgM and IgG anti-heart reactive repertoire and inflammatory cytokines. Heart samples were assayed for gene expression. Ischemic HF significantly increased the levels of serum IgM (by 5.2 fold) and IgG (by 3.6 fold) associated with remarkable content of anti-heart specificity. Comparable increase was observed in levels of circulating pro-inflammatory cytokines, such as IL-1β (3.8x) and TNF-α (6.0x). IFN-gamma was also increased in the MI group by 3.1x. However, IL-4 and IL-10 showed no significant difference between MI and sham groups. Chemokines such as MCP-1 and IL-8 were enhanced in the plasma of infarcted mice. We identified 2079 well annotated unigenes that were significantly regulated by the post-ischemic HF. Complement activation and immune response was among the most up-regulated processes. Interestingly, 21 out of the 101 quantified unigenes involved in inflammatory response were significantly up-regulated and none were down-regulated. These data indicate that post-ischemic heart remodeling is accompanied by immune mediated mechanisms that act both systemically and locally. We compared RNA samples extracted from whole hearts of control and infarcted mice samples by analyzing hybridization to AECOM 32k mouse microarrays (http://microarray1k.aecom.yu.edu/) spotted with Operon version 3.0 70-mer oligonucleotides. The hybridization protocol, the slide type and the scanner settings were uniform throughout the entire experiment to minimize the technical noise. Control (sham) and infarcted red-labeled heart samples were hybridized against an in-house prepared green-labeled universal mouse reference.
Protocol Name P-GSE18703-2 P-GSE18703-3 P-GSE18703-4 P-GSE18703-5 P-GSE18703-6 P-GSE18703-7 P-GSE18703-8 P-GSE18703-9 P-GSE18703-1
Protocol Type specified_biomaterial_action grow nucleic_acid_extraction labeling labeling hybridization image_aquisition feature_extraction bioassay_data_transformation
Protocol Description Permanent myocardial infarcts were produced by ligation of the descending branch of the left coronary artery. Animals were anesthetized by an intraperitoneal injection with ketamine (40mg/kg) and xylazine (80mg/kg), placed in a supine position and intubated. Mice were ventilated with a volume-cycled ventilator (100 cycles/min, Harvard Apparatus; Holliston, MA) with volume sufficient to adequately expand but not overexpand the lungs. After a left anterior thoracotomy, the heart was exposed and the suture (8-0 mononylon) was passed under the artery at a position ~1mm from the tip of the normally positioned left auricle. The chest was then closed and the skin sutured with 5-0 nylon. Sham operations were created by the same method but without tying the suture in LAD. Mice were housed at controlled temperature (23ºC) with 12:12-hour light-dark cycle and received standard mouse chow and water ad libitum. total RNA was extracted using the TRIzol® protocol (Invitrogen, CA). RNA concentration was determined with a WU-83060-00 Thermo Scientific NanoDrop ND-1000 1-position Spectrophotometer and its quality with a 2100 Bioanalyzer (Agilent, DE) 30ug total RNA extracted from each heart was reverse transcribed into cDNA incorporating fluorescent Alexa Fluor®_647âaha-dUTP using SuperScriptTM Plus Direct cDNA Labeling System (Invitrogen, CA). 30ug total RNA extracted from each heart was reverse transcribed into cDNA incorporating fluorescent Alexa Fluor®_555âaha-dUTP using SuperScriptTM Plus Direct cDNA Labeling System (Invitrogen, CA). Alexa Fluor®_647-labeled cDNA was co-hybridized with Alexa Fluor®_555-labeled universal mouse reference prepared in our lab from ten adult mouse tissues (aorta, brain, heart, kidney, liver, lung, ovary/testicles, spleen, and stomach - equal amounts from males and females) overnight at 50°C on a MO3 AECOM mouse oligonucleotide array spotted with 32k Operon 70-mer oligonucleotides V3.0 (GPL5371). After washing (0.1% SDS and 1% SSC) to remove the non-hybridized cDNAs, each array was scanned WITH A 4000B scanner (MDS, Toronto, Canada)) and images were primarily analyzed with GenePixPro 6.0 (Axon Instruments, CA). Data were normalized and analyzed with in-house developed algorithms described in Iacobas et al. Physiol Genomics 2005. ID_REF =
X = X-coordinate of the center of the feature-indicator associated with the feature, where (0,0) is the top left of the image
Y = Y-coordinate of the center of the feature-indicator associated with the feature, where (0,0) is the top left of the image
Dia. = diameter of the feature-indicator
F635 Median = median feature pixel intensity for Alexa Fluor®_647 channel
F635 Mean = mean feature pixel intensity for Alexa Fluor®_647 channel
F635 SD = standard deviation of feature pixel intensity for Alexa Fluor®_647 channel
B635 Median = median background pixel intensity for Alexa Fluor®_647 channel
B635 Mean = mean background pixel intensity for Alexa Fluor®_647 channel
B635 SD = standard deviation of background pixel intensity for Alexa Fluor®_647 channel
F635 % Sat. = percent saturated pixels for Alexa Fluor®_647 channel
F532 Median = median feature pixel intensity for Alexa Fluor®_555 channel
F532 Mean = mean feature pixel intensity for Alexa Fluor®_555 channel
F532 SD = standard deviation of feature pixel intensity for Alexa Fluor®_555 channel
B532 Median = median background pixel intensity for Alexa Fluor®_555 channel
B532 Mean = mean background pixel intensity for Alexa Fluor®_555 channel
B532 SD = standard deviation of background pixel intensity for Alexa Fluor®_555 channel
F532 % Sat. = percent saturated pixels for Alexa Fluor®_555 channel
FLAG = A feature was considered as valid (0 value) if there are no local corruption, no saturated pixels and the foreground signal is at least 2x larger than the background signal. Negative values indicate substandard feature.
VALUE = normalized to the green channel log2 ratio of the background subtracted signal of that feature and the median of the background subtracted signals of all valid features of the block (700 features) in the red channel. A NULL indicates that the feature was not valid (negative FLAG)
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Protocol Term Source REF The MGED Ontology The MGED Ontology The MGED Ontology The MGED Ontology The MGED Ontology The MGED Ontology The MGED Ontology The MGED Ontology
SDRF File E-GEOD-18703.sdrf.txt
Term Source Name NCBI Taxonomy The MGED Ontology ArrayExpress EFO The MGED Ontology
Term Source File http://www.ncbi.nlm.nih.gov/Taxonomy/ http://mged.sourceforge.net/ontologies/MGEDontology.php http://www.ebi.ac.uk/arrayexpress http://www.ebi.ac.uk/efo/ http://mged.sourceforge.net/ontologies/MGEDontology.php
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