Unknown,Transcriptomics,Genomics,Proteomics

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Functional Annotation of the Bovine Genome

ABSTRACT: The goal of the proposed project is to generate high-quality detailed transcript and chromatin status datasets from a comprehensive set of bovine tissues, developmental stages, and cells through a set of rationally selected assays. Experimental data generated by the project have been analyzed using well-established bioinformatics software and pipelines to discover and annotate the functional elements of the bovine genome, including enhancers, promoters, insulators, and small and large RNA transcripts, among others. Datasets and findings will be made publicly available though database and genome information centers.

INSTRUMENT(S): Ion Torrent PGM

ORGANISM(S): Bos taurus

SUBMITTER: Zhihua Jiang

PROVIDER: E-MTAB-12052 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Purpose: We generated extensive transcriptional and proteomic profiles from a Her2-driven mouse model of breast cancer that closely recapitulates human breast cancer. This report makes these data publicly available in raw and processed forms, as a resource to the community. Importantly, we previously made biospecimens from this same mouse model freely available through a sample repository, so researchers can obtain samples to test biological hypotheses without the need of breeding animals and collecting biospecimens. Experimental design: Twelve datasets are available, encompassing 841 LC-MS/MS experiments (plasma and tissues) and 255 microarray analyses of multiple tissues (thymus, spleen, liver, blood cells, and breast). Cases and controls were rigorously paired to avoid bias. Results: In total, 18,880 unique peptides were identified (PeptideProphet peptide error rate â¤1%), with 3884 and 1659 non-redundant protein groups identified in plasma and tissue datasets, respectively. Sixty-one of these protein groups overlapped between cancer plasma and cancer tissue. Conclusions and clinical relevance: These data are of use for advancing our understanding of cancer biology, for software and quality control tool development, investigations of analytical variation in MS/MS data, and selection of proteotypic peptides for MRM-MS. The availability of these datasets will contribute positively to clinical proteomics. Affymetrix GeneChip Mouse Genome 430 2.0 microarrays were used to profile whole tissues from 5 different tissue types of 25 tumor-bearing and 25 control mice of the Her2/Neu breast cancer mouse model. The 5 tissues tested were from breast, liver, spleen, blood cell, and thymus. The tumor-bearing mice were bitransgenic for MMTV-rtTA/TetO-NeuNT, and the control mice were transgenic for TetO-NeuNT only. The control mice were age- and cage-matched to the tumor-bearing mice. All samples were lysed and total RNA isolated and amplified prior to hybridization.

Dataset Information

Functional Annotation of the Bovine Genome

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