A role for microRNA (miRNA) has been recognized in nearly every biologic system examined thus far. A complete delineation of their role must be preceded by the identification of all miRNAs present in any system. We elucidated the complete small RNA transcriptome of normal and malignant B cells through deep sequencing of 31 normal and malignant human B-cell samples that comprise the spectrum of B-cell differentiation and common malignant phenotypes. We identified the expression of 333 known miRNA ...[more]
Project description:This SuperSeries is composed of the following subset Series: GSE15229: Massively Parallel Sequencing Identifies the MicroRNA Transcriptome of Normal and Malignant Human B cells GSE22895: Deep Sequencing of the Small RNA Transcriptome of Normal and Malignant Human B cells Identifies Hundreds of Novel MicroRNAs: microarray analysis Refer to individual Series
Project description:We developed a novel approach, m6A-seq, for high-resolution mapping of the transcriptome-wide m6A landscape, based on antibody-mediated capture followed by massively parallel sequencing Identification of m6A modified sequences in mouse liver and human brain
Project description:To support our research of colon cancer in human genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-seq) using normal,paracancerouse and cancerous human colon tissues. We obtained a total of 29.9M reads from normal,33.0M reads from paracancerous and 36.5M reads from cancerous.The RNA-seq data derived from the sample illustrated the differencially expreesion genes among normal,paracancerous and cancerous colon tissues of human. 3 samples examined: normal tissue, paracancerous tissue, cancerous tissue.
Project description:We developed a novel approach, m1A-seq, for high-resolution mapping of the transcriptome-wide m1A landscape, based on antibody-mediated capture followed by massively parallel sequencing Identification of m1A modified sequences in human, mouse and yeast cell lines
Project description:This series represents a very deep survey of all transcripts expressed in a wide range of human tissues and cells by Massively Parallel Signature Sequencing (MPSS). These datasets have been generated and donated to the scientific community by Lynx Therapeutics, Inc in Hayward, CA. The data contained in this submission is described in the following publication: 'C. Victor Jongeneel, Mauro Delorenzi, Christian Iseli, Daixing Zhou, Christian D. Haudenschild, Brian J. Stevenson, Robert L. Strausberg, Andrew J.G. Simpson, and Thomas J. Vasicek.' An atlas of human gene expression from massively parallel signature sequencing (MPSS). Genome Research VolXX 2004 Abstract of the publication: 'We have used massively parallel signature sequencing (MPSS) to sample the transcriptomes of 32 normal human tissues to an unprecedented depth, thus documenting the patterns of expression of over 20,000 genes with high sensitivity and specificity. The data confirm the widely held belief that differences between cell and tissue types are largely determined by the expression of a limited number of tissue-specific genes, rather than by combinations of more promiscuously expressed genes. Expression of a little over half of all known human genes seems to account for both the common requirements and the specific functions of the tissues sampled. A classification of tissues based on patterns of gene expression largely reproduces classifications based on anatomical and biochemical properties. The unbiased sampling of the human transcriptome achieved by MPSS supports the notion that most human genes have been mapped, if not functionally characterised. This dataset should prove useful for the identification of tissue-specific genes, for the study of global changes induced by pathological conditions, and for the definition of a minimal set of genes necessary for basic cell maintenance.' Keywords: other