ABSTRACT: Set of 65 surgical specimens of human breast tumors from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. Gene expression variation patterns within this set provided a distinctive molecular portrait of each tumor. Twenty of the tumors were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumors were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumor samples from the same individual were almost always more similar to each other than either was to any other sample. This study is described more fully in Perou CM et al.(2000) Nature 406:747-52 Keywords: other
Project description:Set of 65 surgical specimens of human breast tumors from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. Gene expression variation patterns within this set provided a distinctive molecular portrait of each tumor. Twenty of the tumors were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumors were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumor samples from the same individual were almost always more similar to each other than either was to any other sample. This study is described more fully in Perou CM et al.(2000) Nature 406:747-52
Project description:Human breast tumours are diverse in their natural history and in their responsiveness to treatments. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce information from the cell's identity to its environmental status, thereby controlling the level of expression of every gene in the genome. Here we have characterized variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. These patterns provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample. Sets of co-expressed genes were identified for which variation in messenger RNA levels could be related to specific features of physiological variation. The tumours could be classified into subtypes distinguished by pervasive differences in their gene expression patterns.
Project description:A bioinformatic approach to identify targets of microRNA in cancer. Keywords: Patient sample study Samples GSM413237-GSM413270: Total RNA from 17 RCC tumors and 17 corresponding non-tumor samples was hybridized against a common reference RNA (Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature 2000;406:747-752) for gene expression analysis. Samples GSM413271-GSM413304: MicroRNA from 17 RCC tumors and 17 corresponding non-tumor samples were hybridized on a single channel platform for miRNA expression analysis.
Project description:Each tissue or cell line polyA+ RNA-labeled with Cy5 was hybridized against a common reference pool consisting of 11 different cell lines described elsewhere (Perou et al. 2000) Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Project description:Set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. Gene expression variation patterns within this set provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample.
Project description:Each tissue or cell line polyA+ RNA-labeled with Cy5 was hybridized against a common reference pool consisting of 11 different cell lines described elsewhere (Perou et al. 2000) Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Using regression correlation
Project description:We carried out a survey of the variation in gene expression patterns in the blood of healthy individuals, by using cDNA microarrays. Our results revealed a surprising consistency in these patterns, but also evidence of distinct patterns of interindividual and temporal variation. Some features of variation in the expression patterns were associated with differences in the cellular composition of the blood sample, with gender, age, and time of day. These results expand our understanding of human variation and hematological physiology and provide a genome-wide molecular portrait of a healthy human tissue. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Project description:We carried out a survey of the variation in gene expression patterns in the blood of healthy individuals, by using cDNA microarrays. Our results revealed a surprising consistency in these patterns, but also evidence of distinct patterns of interindividual and temporal variation. Some features of variation in the expression patterns were associated with differences in the cellular composition of the blood sample, with gender, age, and time of day. These results expand our understanding of human variation and hematological physiology and provide a genome-wide molecular portrait of a healthy human tissue. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set Using regression correlation
Project description:All the array experiments published in "Gene expression patterns in human liver cancers" by Chen X, et al. Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 overexpression. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Project description:Schaner M., et al.; Mol Biol Cell. 2003 Nov;14(11):4376-86. Figure 1 Unsupervised hierarchical clustering of ovarian cell lines and ovarian cancers. Cell lines were not co-clustered with the tumor specimens, because these cell lines have a very prominent proliferation cluster (Perou et al., 1999; Ross et al., 2000) that significantly influences the clustering of the tumor samples if the two sample sets are not analyzed separately. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set