Project description:DNA methylation data from human tissues: 5 samples each of normal liver, frontal cortex, spleen and colon. 5 samples of colon tumor.
Project description:DNA methylation data from human tissues: 5 samples each of normal liver, frontal cortex, spleen and colon. 5 samples of colon tumor. Genomic DNA was isolated and hybridized to custom-designed Nimblegen microarrays (CHARM human array v1). 4 normal tissues and 1 colon tumor
Project description:DNA methylation, at CpG islands and promoters, is often inversely correlated with gene expression. We used expression microarrays to determine the relationship between DNA methylation and gene expression in 5 normal prefrontal cortex samples and 5 normal liver samples from the same individuals as well as between 4 colon tumor and matched normal colon mucosa (from the same individuals). Experiment Overall Design: We isolated RNA from pre-frontal cortex and liver tissue from 5 individuals for which we have genome-wide DNA methylation data and hybridized to Affymetrix gene expression microarrays. Similarly, we isolated RNA from 4 tumor and matched normal colon samples that we have genome-wide DNA methylation data..<br><br>This experiment was reloaded in November 2010 after additional curation.
Project description:We used microarray expression profiling to assess protein-coding and non-coding gene expression across 8 brain samples and 7 other human tissues. We measured commercial human cDNA samples from 15 tissues: cerebellum, brain stem, frontal cortex, occipital cortex, parietal cortex, fetal brain, whole adult brain, colon, heart, kidney, liver, lung, breast and adrenal gland
Project description:This data set consists of tissue-specific RNA-seq reads from 14 different tissues from a single female adult olive baboon (Papio anubis): bone marrow, brain cerebellum, brain frontal cortex, brain pituitary, brain temporal lobe, colon, heart, kidney, liver, lymph node, spleen, lung, skeletal muscle and thymus. The data set was generated by the non-human primate reference transcriptome resource (NHPRTR) project (http://nhprtr.org/), and was first made public on 14 Jan 2014.
Project description:The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of these tissues. Toward this end, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928 Human DNA methylation Beadchip v1.2 was used to obtain n=64 Illumina DNA methylation arrays from 30 tissues. For each of the following tissues, we obtained at least 2 replicates: adipose, adrenal gland, aorta, bone, bone-marrow, breast, buccal cells, cartilage, cerebellum, colon, diaphragm, esophagus , frontal cortex, kidney, heart, hippocampus, liver, lung, lymph node, midbrain, muscle, occipital cortex, pancreas, pericardium skin, spleen, stomach, temporal cortex, thyroid, whole blood.
Project description:Liver metastasis is one of the major causes of death in colorectal cancer (CRC) patients. To understand this process, we investigated whether the gene expression profiling of matched colorectal carcinomas and liver metastases could reveal key molecular events involved in tumor progression and metastasis. We performed experiments using a cDNA microarray containing 17,104 genes with the following tissue samples: paired tissues of 25 normal colorectal mucosa, 27 primary colorectal tumors, 13 normal liver and 27 liver metastasis, and 20 primary colorectal tumors without liver metastasis. To remove the effect of normal cell contamination, we selected 4,583 organ-specific genes with a false discovery rate (FDR) of 0.0067% by comparing normal colon and liver tissues using significant analysis of microarray, and these genes were excluded from further analysis. We then identified and validated 46 liver metastasis-specific genes with an accuracy of 83.3% by comparing the expression of paired primary colorectal tumors and liver metastases using prediction analysis of microarray. The 46 selected genes contained several known oncogenes and 2 ESTs. To confirm that the results correlated with the microarray expression patterns, we performed RT-PCR with WNT5A and carbonic anhydrase II. Additionally, we observed that 21 of the 46 genes were differentially expressed (FDR = 2.27%) in primary tumors with synchronous liver metastasis compared with primary tumors without liver metastasis. We scanned the human genome using a cDNA microarray and identified 46 genes that may play an important role in the progression of liver metastasis in CRC. Keywords: gene expression profiling using cDNA microarray We performed 17K cDNA microarray with the amplified RNAs from the following tissue samples: normal colorectal mucosa, primary colorectal tumors, normal liver and liver metastasis tumors, and primary colorectal tumors without liver metastasis. Organ-specific genes in normal colon and liver tissues were excluded from the pre-filtered genes, and then we discovered and validated liver metastasis-specific genes commonly up-regulated in the primary colorectal tumors and liver metastasis tumors. To confirm the microarray data, we performed a RT-PCR of two genes (WNT5A and carbonic anhydrase II) in the primary colorectal tumors with and without liver metastases.
Project description:We generated chimeric mice with livers that were predominantly repopulated with human hepatocytes. Hepatocytes were isolated from the chimeric mouse livers and their gene expressions were compared with hepatocytes isolated from normal human livers . Cluster and principal components analyses showed that gene expression profiles of hepatocytes from the chimeric mice and those from normal human livers were extremely closed. Additionally, we performed microarray experiments to examine gene expression in human tissues. This data was used for comparison with hepatocytes. A total of 22 tissues (bone marrow, cerebellum, colon, cortex, fetal brain, heart, kidney, liver, lung, pancreas, prostate, salivary gland, skeletal muscle, small intestine, spinal cord, spleen, stomach, testes, thymus, thyroid, trachea and uterus) were examined.
Project description:<p>This study utilized neurologically normal control samples deposited in North American Brain Expression Consortium (NABEC). This top-level study, phs001300, makes available all phenotype data of the NABEC study participants. <br/>In addition, molecular data of six sub-studies are available through dbGaP: <ol> <li>NABEC Genome-Wide Genotyping - <a href="study.cgi?study_id=phs000249">phs000249</a></li> <li>NABEC Exome Sequencing - <a href="study.cgi?study_id=phs001301">phs001301</a></li> <li>NABEC CAGE Sequencing of Human Cerebral Frontal Cortex - <a href="study.cgi?study_id=phs001302">phs001302</a></li> <li>NABEC mRNA Sequencing of human Cerebral Frontal Cortex - <a href="study.cgi?study_id=phs001353">phs001353</a></li> <li>NABEC Total RNA Sequencing of human Cerebral Frontal Cortex - <a href="study.cgi?study_id=phs001354">phs001354</a></li> <li>NABEC Neurochip Genotyping - <a href="study.cgi?study_id=phs001462">phs001462</a></li> </ol> </p>