Analysis of the Equine Transcriptome by mRNA Sequencing
Ontology highlight
ABSTRACT:
ORGANISM(S): Equus caballus
SUBMITTER: Stephen Coleman
PROVIDER: E-GEOD-46859 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Structural annotation of equine protein-coding genes determined by mRNA sequencing.
Coleman S J SJ Zeng Z Z Wang K K Luo S S Khrebtukova I I Mienaltowski M J MJ Schroth G P GP Liu J J MacLeod J N JN
Animal genetics 20101201
The horse, like the majority of animal species, has a limited amount of species-specific expressed sequence data available in public databases. As a result, structural models for the majority of genes defined in the equine genome are predictions based on ab initio sequence analysis or the projection of gene structures from other mammalian species. The current study used Illumina-based sequencing of messenger RNA (RNA-seq) to help refine structural annotation of equine protein-coding genes and fo ...[more]
Similar Datasets
Project description:The horse, like a majority of animal species, has a limited amount of species-specific expressed sequence data available in public databases. As a result, structural models for a majority of genes defined in the equine genome are predictions based on ab initio sequence analysis or the projection of gene structures from other mammalian species. The current study used Illumina-based sequencing of messenger RNA (RNA-seq) to help refine structural annotation of equine protein-coding genes and for a preliminary assessment of gene expression patterns. Sequencing of mRNA from eight equine tissues generated 293,758,105 thirty five-base sequence tags, equaling 10.28 giga-basepairs of total sequence data. The tag alignments represent approximately 208X coverage of the equine mRNA transcriptome and confirmed transcriptional activity for roughly 90% of the protein-coding gene structures predicted by Ensembl and NCBI. Tag coverage was sufficient to define structural annotation for 11,356 genes, while also identifying an additional 456 transcripts with exon/intron features that are not listed by either Ensembl or NCBI. Genomic locus data and intervals for the protein-coding genes predicted by the Ensembl and NCBI annotation pipelines were combined with 75,116 RNA-seq derived transcriptional units to generate a consensus equine protein-coding gene set of 20,302 defined loci. Gene ontology annotation was used to compare the functional and structural categories of genes expressed in either a tissue-restricted pattern or broadly across all tissue samples. Examination of 8 equine RNA samples representing 6 distinct tissues
2010-11-10 | E-GEOD-21925 | biostudies-arrayexpress
Project description:Horse-specific genes are not readily identified from available equine EST/cDNA resources due to relatively limited coverage. In addition, equine gene sets predicted in silico by Ensembl and NCBI will not identify horse specific genes since they rely on homology-based projection of gene structure annotation from other species. In this study, RNA-seq of 8 equine RNA samples representing 6 distinct tissues was performed and used to improve and refine equine gene structure annotation. The samples and RNA were collected as part of the related study E-GEOD-21925 and are described in Coleman et al 2010. Anim Genet 41 Suppl 2: 121-30 (PMID: 21070285). The RNA from these samples was re-sequenced in this experiment. The tissues were i). the articular cartilage and synovial membrane samples from a 3-year-old male pony. The left carpal joints received four LPS injections (0.5 ng) over 8 days, while the right carpal joints received control injections of PBS. ii) A cerebellum sample was collected from a 2-year-old female thoroughbred. iii) A testis sample from a 4-year-old thoroughbred. iv) A placental villous sample collected immediately post-partum from a full-term female thoroughbred foal. v) A whole embryo sample was obtained from a 34-day-old male thoroughbred conceptus. The embryo, cerebellum, testis and placental samples were of apparent normal gross morphology.
2013-07-30 | E-GEOD-46858 | biostudies-arrayexpress
Project description:This dataset is comprised of RNA samples from 11 horses of various ages and sex that comprise the following tissues: Adipose Tissue, Adrenal Cortex, Adrenal Medulla, Aorta, Articular Cartilage (foal), Bladder, Bone, Bone Marrow, Cecum, Cerebrum, Cornea, Embryo (whole embryo, 34d), Endometrium (preg. day 16), Endometrium (preg. day 50), Epididymus, Hoof (germinal epithelium), Kidney, Large Intestine, Liver, Lung Lymph Node, Lymphocytes (activated), Muscle (cardiac), Muscle (skeletal, tongue), Muscle (skeletal), Muscle (smooth), Ovary, Pancreas, Pituitary (anterior), Pituitary (posterior), Placental Villous, Retina, Salivary Gland, Skin (full thickness), Spinal Cord, Spinal Root Ganglia, Spleen (red pulp), Spleen (white pulp), Stomach, Synovial Membrane, Tendon (superficial digital flexor, foal), Testes, Thymus, and Vena Cava. This study was carried out in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. Tissue samples for total RNA isolation were collected under a protocol (00814A2004) reviewed and approved by the Office of Research Integrity, Institutional Animal Care and Use Committee, at the University of Kentucky (PHS Assurance Number: A3336-01). Two micrograms of mRNA from each tissue sample was used to generate the final RNA pool. The pooled sample was Illumina and 454 sequenced with the aim to improve equine gene structural annotation.
2015-05-15 | E-MTAB-2879 | biostudies-arrayexpress
Project description:In the cell nucleus, each chromosome is confined to a chromosome territory. This spatial organization of chromosomes plays a crucial role in gene regulation and genome stability. Recently an additional level of organization has been discovered at the chromosome scale: the spatial segregation into open and closed chromatin to form two genome-wide compartments. Although considerable progress has been made in our knowledge of chromatin organization, a fundamental issue remains the understanding of its dynamic, especially in cancer. To address this issue, we performed genome-wide mapping of intra- and interchromosomal interactions (Hi-C) over the time after estrogen (E2) stimulation of breast cancer cells. To biologically interpret these interactions, we integrated with estrogen receptor alpha (ER alpha) binding events, gene expression and multiple epigenetic marks. We show that E2 induces a global reorganization of genome. More specifically, gene-rich chromosomes as well as areas of open and highly transcribed chromatins are moved spatially closer, thus enabling genes to share transcriptional machinery and regulatory elements. At a lower scale, differentially interacting loci are enriched for cancer proliferation and E2 related genes. We also observe that these differentially interacting loci are correlated with higher ER alpha binding events and gene expression. 5 time points: before E2 (0h) and after E2 (0.5h, 1h, 4h and 24h). For each time point, there are two lanes per sample and two biological replicate samples. Please note that a processed data file corresponds to the merging of 2 replicates, and that there are 2 lanes per replicates (4 files in total per processed data file). Information about data merging is provided in the title of the sample. For instance : 0h_replicate_1_lane 1 0h_replicate_1_lane 2 0h_replicate_2_lane_1 0h_replicate_2_lane_2 are merged to generate the processed data hic_0h-all-1M.IC.csv.gz. Several bin sizes are provided for the same processed data: hic_0h-all-1M.IC.csv.gz hic_0h-all-2M.IC.csv.gz hic_0h-all-4M.IC.csv.gz hic_0h-all-500k.IC.csv.gz are the same processed data, but with different bin sizes.
2013-10-25 | E-GEOD-51687 | biostudies-arrayexpress
Project description:Understand the proteome dependent on the mcm5s2 U34 tRNA modification in breast cancer
2020-06-20 | E-MTAB-9206 | biostudies-arrayexpress
Project description:RNAseq responses in Anopheles coluzzii's 4 days post dsPARA injection (treatment) vs dsGFP injection (control)
2024-04-05 | E-MTAB-12896 | biostudies-arrayexpress
Project description:Ikaros is an essential regulator of lymphopoiesis. Here, we studied the B-cell-specific function of Ikaros by conditional Ikzf1 inactivation in pro-B cells. B-cell development was arrested at an aberrant ‘pro-B’ cell stage characterized by increased cell adhesion and loss of pre-B cell receptor signaling. Ikaros was found to activate genes coding for pre-BCR signal transducers and to repress genes involved in the downregulation of pre-BCR signaling and upregulation of the integrin signaling pathway. Unexpectedly, derepression of Aiolos expression could not compensate for the loss of Ikaros in pro-B cells. Ikaros differentially controlled active chromatin at promoters and enhancers of repressed and activated target genes. Notably, Ikaros binding and target gene expression was dynamically regulated at distinct stages of early B-lymphopoiesis. 16 RNA-Seq samples in pre-proB cells (4 replicates, for each 2 controls and 2 experimental samples); 4 RNA-Seq samples in pro-B cells in Rag2-/- backgrounds (Ikzf1 deleted versus non deleted, 2 replicates each); 4 RNA-Seq samples in c-Kit high pro-B cells (Ikzf1 deleted versus non deleted, 2 replicates each); 4 RNA-Seq samples in pro-B cells (Ikzf1 deleted versus non deleted, 2 replicates each); 2 RNA-Seq samples pre-B cells wild type; 8 chromatin ChIP-Seq samples (4x H3K9ac, 4x H3K4me3, Ikzf1 deleted/non deleted, two replicates each).; 4 Transcription factor ChIP-Seq samples in pro-B cells; 1 Transcription factor ChIP-Seq samples in DP-T cells; 1 Transcription factor ChIP-Seq samples in pre-pro-B cells; 2 Mi-2b Chip-Seq samples (Ikzf1 deleted versus non deleted); 1 ChIP-Seq input track for pro-B cells; 1 ChIP-Seq input track for DP-T cells
2014-02-09 | E-GEOD-53595 | biostudies-arrayexpress
Project description:Recent advances in RNA sequencing (RNA-Seq) have enabled the discovery of novel transcriptomic variations that are not possible with traditional microarray-based methods. Tissue and cell specific transcriptome changes during pathophysiological stress, in disease cases versus controls and in response to therapies are of particular interest to investigators studying cardiometabolic diseases. Thus, knowledge on the relationships between sequencing depth and detection of transcriptomic variation is needed for designing RNA-Seq experiments and for interpreting results of analyses. Using deeply sequenced RNA-Seq data derived from adipose of a healthy individual before and after systemic administration of endotoxin (LPS), we investigated the sequencing depths needed for studies of gene expression and alternative splicing (AS). We found that to detect expressed genes and AS events, ~100 million (M) filtered reads were needed. However, the requirement on sequencing depth for the detection of LPS modulated differential expression (DE) and differential alternative splicing (DAS) was much higher. To detect 80% of events, ~300M filtered reads were needed for DE analysis whereas at least 400M filtered reads were necessary for detecting DAS. Although the majority of expressed genes and AS events can be detected with modest sequencing depths (~100M filtered reads), the estimated gene expression levels and exon/intron inclusion levels were less accurate. We report the first study that evaluates the relationship between RNA-Seq depth and the ability to detect DE and DAS in human adipose. Our results suggest that a much higher sequencing depth is needed to reliably identify DAS events than for DE genes. Random sampling the RNA-seq data in different depth for gene and alternative-splicing analysis
2013-07-12 | E-GEOD-46323 | biostudies-arrayexpress
Project description:To assess variation and inheritance of genome-wide patterns of DNA methylation simultaneously in humans, we applied reduced representation bisulfite sequencing (RRBS) to somatic DNA from six members of a three-generation family. Reduced representation bisulfite sequencing was applied to genomic DNA from leukocytes of 6 family members and two unrelated individuals.
2011-07-01 | E-GEOD-30253 | biostudies-arrayexpress
Project description:Noncoding RNAs (ncRNAs) are emerging as key molecules in human cancer, with the potential to serve as novel markers of disease and to reveal uncharacterized aspects of tumor biology. Here we discover 121 unannotated prostate cancerM-bM-^@M-^Sassociated ncRNA transcripts (PCATs) by ab initio assembly of high-throughput sequencing of polyA+ RNA (RNA-Seq) from a cohort of 102 prostate tissues and cells lines. We characterized one ncRNA, PCAT-1, as a prostate-specific regulator of cell proliferation and show that it is a target of the polycomb repressive complex 2 (PRC2). We further found that patterns of PCAT-1 and PRC2 expression stratified patient tissues into molecular subtypes distinguished by expression signatures of PCAT-1M-bM-^@M-^Srepressed target genes. Taken together, our findings suggest that PCAT-1 is a transcriptional repressor implicated in a subset of prostate cancer patients. These findings establish the utility of RNA-Seq to identify disease-associated ncRNAs that may improve the stratification of cancer subtypes. 21 prostate cell lines sequenced on the Illumina Genome Analyzer and GAII. Variable number of replicates per sample. RNA-Seq data from prostate cancer tissues used in this study will be made available on dbGAP.
2011-08-02 | E-GEOD-25183 | biostudies-arrayexpress