Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA324812 | ENA |
REPOSITORIES: ENA
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Project description:Many diseases and adverse drug reactions exhibit tissue specificity. To better understand the tissue-specific expression characteristics of transcripts in different human tissues, we deeply sequenced RNA samples from 14 different human tissues. After filtering many lowly expressed transcripts, 24,729 protein-coding transcripts and 1,653 noncoding transcripts were identified. By analyzing highly expressed tissue-specific protein-coding transcripts (TSCTs) and noncoding transcripts (TSNTs), we found that testis expressed the highest numbers of TSCTs and TSNTs. Brain, monocytes, ovary, and heart expressed more TSCTs than the rest tissues, whereas brain, placenta, heart, and monocytes expressed more TSNTs than other tissues. Co-expression network constructed based on the TSCTs and TSNTs showed that each hub TSNT was co-expressed with several TSCTs, allowing functional annotation of TSNTs. Important biological processes and KEGG pathways highly related to the specific functions or diseases of each tissue were enriched with the corresponding TSCTs. These TSCTs and TSNTs may participate in the tissue-specific physiological or pathological processes. Our study provided a unique data set and systematic analysis of expression characteristics and functions of both TSCTs and TSNTs based on 14 distinct human tissues, and could facilitate future investigation of the mechanisms behind tissue-specific diseases and adverse drug reactions. Identification of Tissue-Specific Transcripts across 14 Human Tissues Using RNA-seq
2016-07-21 | E-GEOD-83115 | biostudies-arrayexpress
Project description:Many diseases and adverse drug reactions exhibit tissue specificity. To better understand the tissue-specific expression characteristics of transcripts in different human tissues, we deeply sequenced RNA samples from 14 different human tissues. After filtering many lowly expressed transcripts, 24,729 protein-coding transcripts and 1,653 noncoding transcripts were identified. By analyzing highly expressed tissue-specific protein-coding transcripts (TSCTs) and noncoding transcripts (TSNTs), we found that testis expressed the highest numbers of TSCTs and TSNTs. Brain, monocytes, ovary, and heart expressed more TSCTs than the rest tissues, whereas brain, placenta, heart, and monocytes expressed more TSNTs than other tissues. Co-expression network constructed based on the TSCTs and TSNTs showed that each hub TSNT was co-expressed with several TSCTs, allowing functional annotation of TSNTs. Important biological processes and KEGG pathways highly related to the specific functions or diseases of each tissue were enriched with the corresponding TSCTs. These TSCTs and TSNTs may participate in the tissue-specific physiological or pathological processes. Our study provided a unique data set and systematic analysis of expression characteristics and functions of both TSCTs and TSNTs based on 14 distinct human tissues, and could facilitate future investigation of the mechanisms behind tissue-specific diseases and adverse drug reactions.
2016-07-21 | GSE83115 | GEO
Project description:Deep proteomic analysis of larvae, pupae and 15 adult tissues using high resolution Fourier transform mass spectrometry provided peptide evidence for ~9,000 computationally predicted genes accounting for 82% of total protein-coding genes in An. stephensi. Transcriptomic profiling of 4 tissues provided transcript evidence for 7,504 computationally predicted gene models and resulted in identification of 3,797 novel transcripts. We also identified protein level evidence for several novel alternative transcripts, SNPs and tissue restricted expression patterns of several proteins in An. stephensi
2016-09-26 | PXD001128 | Pride
Project description:Transcriptome profiling studies suggest that a large fraction of the genome is transcribed and many transcripts function independent of their protein coding potential. The relevance of noncoding RNAs (ncRNAs) in normal physiological processes and in tumorigenesis is increasingly recognized. Here, we describe consistent and significant differences in the distribution of sense and antisense transcripts between normal and neoplastic breast tissues. Many of the differentially expressed antisense transcripts likely represent long ncRNAs. A subset of genes that mainly generate antisense transcripts in normal but not cancer cells is involved in essential metabolic processes. These findings suggest fundamental differences in global RNA regulation between normal and cancer cells that might play a role in tumorigenesis. Global strand-specific transcriptome profilings of 2 samples in cancer and 1 sample in normal from clinical breast tissue using asymmetrical strand-specific analysis of gene expression (ASSAGE).
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Project description:Abiotic environmental stresses cause serious economic losses in agriculture. These stresses include temperature extremes, high salinity and drought. To isolate drought-responsive novel coding and noncoding genes, we used the next generation sequencing method from three rice cultivars (wild type nipponbare, nipponbare AP2 transgenic plants, wild type vandana). 36 NGS data of mRNA-seq, small RNA-seq, riboZero-seq were analyzed. For the analyses of these data we constructed a TF-TG (Transcription Factor-Target Gene) network and an ap2 rooted cascading tree. Using these networks and tress we isolated lincRNAs, differentially expressed miRNAs and their targets. We identified several drought stress-related novel/function unknown coding transcripts (transcription factors and functional genes) and non-coding transcripts (small noncoding transcripts such as microRNA and long noncoding transcripts) from these database analyses and have constructed databases of drought stress-related coding and noncoding transcripts Identification of drought-responsive Regulatory Coding and Non-coding Transcripts from rice by deep RNA sequencing
2016-09-06 | E-GEOD-74465 | biostudies-arrayexpress
Project description:Transcriptome profiling studies suggest that a large fraction of the genome is transcribed and many transcripts function independent of their protein coding potential. The relevance of noncoding RNAs (ncRNAs) in normal physiological processes and in tumorigenesis is increasingly recognized. Here, we describe consistent and significant differences in the distribution of sense and antisense transcripts between normal and neoplastic breast tissues. Many of the differentially expressed antisense transcripts likely represent long ncRNAs. A subset of genes that mainly generate antisense transcripts in normal but not cancer cells is involved in essential metabolic processes. These findings suggest fundamental differences in global RNA regulation between normal and cancer cells that might play a role in tumorigenesis. Global strand-specific transcriptome profilings of 4 samples in cancer from clinical breast tissue using Agilent Technologies Custom microarray.
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Project description:Eight frozen tissues of NSCLCs (4 SCCs and 4 ACs) and paired normal lung tissues were used to screen the global profiling of human long-noncoding RNAs (lncRNAs) and protein-coding transcripts.
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Project description:Cryptocaryonosis caused by Cryptocaryon irritans is one of the major diseases of large yellow croaker (Larimichthys crocea), which lead to massive economic losses annually. The pathogenesis for cryptocaryonosis has been researched by a series of transcriptome studies under different infection conditions. However, little is known about the roles of tissue-specifically expressed genes during the infection of C. irritans. In this study, we analyzed the tissue-specific expression of transcripts in the major infection organs including gill and skin of L. crocea after C. irritans infection. we constructed transcriptome expression profiles of L. crocea gill and skin, including 23,172 protein-coding genes and 7,503 long noncoding RNAs (lncRNAs). By comparing transcriptome data from different tissues of L. crocea, we observed tissue specificity of transcripts in gill and skin, including 3,003 protein coding genes and 639 lncRNAs. A total of 212 of the protein coding genes were involved in immune system. Further analysis revealed that the tissue-specific DEGs in gill and skin were mainly involved in HIF-1 signaling pathway and Complement and coagulation cascades, respectively. In addition, 9 non-tissue-specific hub genes, including CCL4, DDIT4, LEP, ect., which are highly associated with C. irritans infection were identified. To our knowledge, this is the first comparative transcriptome analysis of gill and skin after C. irritans infection. Our results are helpful to understand the molecular mechanism of pathogenesis for cryptocaryonosis, espec-tissue specificity of protein-coding genes and lncRNAs involved in immune regulation.
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Project description:Single-cell RNA-sequencing of mouse fibroblasts for the identification and functional characterization of non-coding RNAs. Non-coding RNAs were assigned putative functions based on single-cell expression patters, e.g. phase specific expression during the cell cycle. Additionally, allele-level resolution was used to characterize coordinated and mutually exclusive expressions of noncoding RNAs against nearby protein coding genes.
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Project description:To understand the role of long non-coding RNAs and interaction with coding RNAs in bladder urothelial cell carcinoma (BUCC), we performed genome-wide screening long non-coding RNAs and coding RNAs expression on primary BUCC tissues and normal tissues using long non-coding RNA array (Agilent plateform (GPL13825). By comparing these two groups, significantly differentially expressed lncRNAs and coding RNAs were identified. We further identifed a subset of long noncoding RNAs and their correlation with neighboring coding genes using bioinformatic tools. This analysis provides foundamental understaning of transcriptomic landscape changing during bladder carcinogenesis. 12 BUCC primary tumors and 3 normal tissues were used for long noncoding RNA array experiments which including long non-coding RNAs and coding RNAs. The differential expression of subset of long noncoding RNAs and their interaction with coding RNAs in BUCC compared with normal tissue will be identified with comtational analysis.
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