Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression profiling of human tissue samples using SAGE-Seq

ABSTRACT: We present a powerful application of ultra high-throughput sequencing, SAGE-Seq, for the accurate quantification of normal and neoplastic mammary epithelial cell transcriptomes. We develop data analysis pipelines that allow the mapping of sense and antisense strands of mitochondrial and RefSeq genes, the normalization between libraries, and the identification of differentially expressed genes. We find that the diversity of cancer transcriptomes is significantly higher than that of normal cells. Our analysis indicates that transcript discovery plateaus at 10 million reads/sample, and suggests a minimum desired sequencing depth around 5 million reads. Comparison of SAGE-Seq and traditional SAGE on normal and cancerous breast tissues reveals higher sensitivity of SAGE-Seq to detect less abundant genes including those encoding for known breast cancer-related transcription factors and G protein-coupled receptors (GPCRs). SAGE-Seq is able to identify genes and pathways abnormally activated in breast cancer that traditional SAGE failed to call. SAGE-Seq is a powerful method for the identification of biomarkers and therapeutic targets in human disease. Global transcriptome profilings of 7 samples in normal and 7 samples in cancer from clinical breast tissue using Sage-Seq

ORGANISM(S): Homo sapiens

SUBMITTER: Kornelia Polyak

PROVIDER: E-GEOD-24491 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Gene expression profiling of human breast tissue samples using SAGE-Seq.

Wu Zhenhua Jeremy ZJ Meyer Clifford A CA Choudhury Sibgat S Shipitsin Michail M Maruyama Reo R Bessarabova Marina M Nikolskaya Tatiana T Sukumar Saraswati S Schwartzman Armin A Liu Jun S JS Polyak Kornelia K Liu X Shirley XS

Genome research 20101102 12

We present a powerful application of ultra high-throughput sequencing, SAGE-Seq, for the accurate quantification of normal and neoplastic mammary epithelial cell transcriptomes. We develop data analysis pipelines that allow the mapping of sense and antisense strands of mitochondrial and RefSeq genes, the normalization between libraries, and the identification of differentially expressed genes. We find that the diversity of cancer transcriptomes is significantly higher than that of normal cells. ...[more]

PMID: 21045080

Similar Datasets

Project description:In order to investigate how transcription factor dose impacts B-lymphocyte development, we generated mice carrying transheterozygous mutations in the Pax5 and Ebf1 genes. While combined reduction of Pax5 and Ebf1 dose had minimal impact on the development of the earliest CD19+ progenitors, these cells displayed an increased T-cell potential in vivo and in vitro. Alteration in lineage fate depended on a Notch1 mediated conversion process while no signs of de-differentiation could be detected. The differences in functional response to Notch signaling in Wt and Pax5+/-Ebf1+/- pro-B cells was reflected in the transcriptional response because even though cells of both genotypes responded by the generation of intracellular Notch1 and activation of a set of target genes, only the Pax5+/-Ebf1+/- pro-B cells down-regulated genes central for the preservation of stable B-cell identity. This report stresses the importance of transcription factor dose in lymphocyte development and suggests that Pax5 and Ebf1 collaborate to modulate the transcriptional response to Notch signaling after the generation of activated intracellular Notch1. This provides an insight to how transcription factors like Ebf1 and Pax5 preserve cellular identity during differentiation. EBF-1 ChIP-seq: Cultivated CD43+IgM- cells (ProB) cells from Wt, EBF-1 +/-, PAX-5 +/- and EBF-1 +/- PAX-5 +/- (TH) were assessed for EBF-1 binding by ChIP-seq. Replicate Ebf1 ChIP-seq runs on each genotype (Wt, TH, Ebf1+/- and Pax5+/-) and corresponding inputs were pooled into one dataset and analyzed as one combined sample per genotype. RNA-seq no treatment: Briefly, ProB-cells from C57BL/6J Ebf1+/-Pax5+/- (n=4), WT (n=4), Ebf1+/- (n=2) and Pax5+/- (n=2) were sorted and RNA extracted with Qiagen RNeasy Micro Kit. RNA was sent to UCLA Microarray Core for library preparation and were subsequently for 50 cycles of HiSeq 2000 SBS sequencing generating 20-30 million reads/sample. Data analysis was performed with Arraystar® (DNASTAR)). RNA-seq 1 day on OP9DL1 and OP9: In short, in vitro expanded ProB-cells from C57BL/6J Ebf1+/-Pax5+/- (n=4) and WT (n=4) were exposed either on OP9 or OP9-DL1 stromal cells for 24 hours and RNA extracted with Qiagen RNeasy Micro Kit. Due to low reads, two Wt and Ebf1+/-Pax5+/- were sequenced twice. Libraries were constructed using Nugen's Ovation Ultralow Library systems and were subsequently for 50 cycles of NextSeq500 sequencing generating 20-30 million reads/sample. Data analysis was performed with Arraystar® (DNASTAR)).

Dataset Information

Gene expression profiling of human tissue samples using SAGE-Seq

Publications

Gene expression profiling of human breast tissue samples using SAGE-Seq.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets