Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE80332 | GEO | 2016/06/29
SECONDARY ACCESSION(S): PRJNA318621
REPOSITORIES: GEO
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Project description:Long non-coding RNAs (lncRNAs) form a new class of RNA molecules implicated in various aspects of protein coding gene expression regulation. To study lncRNAs in cancer, we generated expression profiles for 1708 human lncRNAs in the NCI60 cancer cell line panel using a high-throughput nanowell RT-qPCR platform. We describe how qPCR assays were designed and validated and provide processed and normalized expression data for further analysis. Data quality is demonstrated by matching the lncRNA expression profiles with phenotypic and genomic characteristics of the cancer cell lines. This data set can be integrated with publicly available omics and pharmacological data sets to uncover novel associations between lncRNA expression and mRNA expression, miRNA expression, DNA copy number, protein coding gene mutation status or drug response. lncRNA expression profiling of 60 cancer cell lines
2016-06-29 | E-GEOD-80332 | biostudies-arrayexpress
Project description:Comprehensive characterization of the DNA methylome in the NCI60 cancer cell line panel
2016-10-08 | GSE49143 | GEO
Project description:Long non-coding RNAs (lncRNAs) are defined as non-protein-coding transcripts that are at least 200 nucleotides long. They are known to play pivotal roles in regulating gene expression, especially during stress responses in plants. We used a large collection of in-house transcriptome data from various soybean (Glycine max and Glycine soja) tissues treated under different conditions to perform a comprehensive identification of soybean lncRNAs. We also retrieved publicly available soybean transcriptome data that were of sufficient quality and sequencing depth to enrich our analysis. In total, RNA-seq data of 332 samples were used for this analysis. An integrated reference-based, de novo transcript assembly was developed that identified ~69,000 lncRNA gene loci. We showed that lncRNAs are distinct from both protein-coding transcripts and genomic background noise in terms of length, number of exons, transposable element composition, and sequence conservation level across legume species. The tissue-specific and time-specific transcriptional responses of the lncRNA genes under some stress conditions may suggest their biological relevance. The transcription start sites of lncRNA gene loci tend to be close to their nearest protein-coding genes, and they may be transcriptionally related to the protein-coding genes, particularly for antisense and intronic lncRNAs. A previously unreported subset of small peptide-coding transcripts was identified from these lncRNA loci via tandem mass spectrometry, which paved the way for investigating their functional roles. Our results also highlight the current inadequacy of the bioinformatic definition of lncRNA, which excludes those lncRNA gene loci with small open reading frames (ORFs) from being regarded as protein-coding.
2020-01-09 | PXD014553 | Pride
Project description:The 60 cell lines of the NCI Anti-Cancer Drug Screen (NCI60) constitute the most extensively characterized in vitro cancer cell model, and have been tested for sensitivity to over 100,000 potential chemotherapy agents. We have used the NCI60 cell lines and three additional lymphoblast lines to develop a database of responses of cancer cells to ionizing radiation. We compared clonogenic survival, apoptosis induction, and gene expression response by microarray analysis. While several studies have measured relative basal gene expression in the NCI60, this is the first comparison of large-scale gene expression changes in response to genotoxic stress. We found genes differentially regulated in cells with low survival after 2 or 8 Gy γ-rays. In contrast to reported basal gene expression patterns, little tissue-of-origin effect was detected in the radiation response pattern of gene expression, with the exception of lymphoblastoid cell lines. The most striking patterns in the radiation data were a set of genes upregulated preferentially in the p53 wild-type lines, and a set of cell-cycle regulatory genes strongly down-regulated across the entire NCI60 panel. The response of these genes to γ-rays appears to be unaffected by the myriad of genetic differences across this very diverse cell set, and represents the most universal gene expression response to ionizing radiation yet observed. Keywords: radiation response
2008-01-01 | GSE7505 | GEO
Project description:The 60 cell lines of the NCI Anti-Cancer Drug Screen (NCI60) constitute the most extensively characterized in vitro cancer cell model, and have been tested for sensitivity to over 100,000 potential chemotherapy agents. We have used the NCI60 cell lines and three additional lymphoblast lines to develop a database of responses of cancer cells to ionizing radiation. We compared clonogenic survival, apoptosis induction, and gene expression response by microarray analysis. While several studies have measured relative basal gene expression in the NCI60, this is the first comparison of large-scale gene expression changes in response to genotoxic stress. We found genes differentially regulated in cells with low survival after 2 or 8 Gy γ-rays. In contrast to reported basal gene expression patterns, little tissue-of-origin effect was detected in the radiation response pattern of gene expression, with the exception of lymphoblastoid cell lines. The most striking patterns in the radiation data were a set of genes upregulated preferentially in the p53 wild-type lines, and a set of cell-cycle regulatory genes strongly down-regulated across the entire NCI60 panel. The response of these genes to γ-rays appears to be unaffected by the myriad of genetic differences across this very diverse cell set, and represents the most universal gene expression response to ionizing radiation yet observed. Cells were exposed to 8Gy and gene expression ratios between untreated (Cy5) cells and exposed cells (Cy3) were measured four hours later
2010-05-27 | E-GEOD-7505 | biostudies-arrayexpress
Project description:Long non-coding RNAs (lncRNAs) are a heterogeneous group of transcripts that lack protein coding potential and display regulatory functions in various cellular processes. As a result of their cell- and cancer-specific expression patterns, lncRNAs have emerged as potential diagnostic and therapeutic targets. The accurate characterization of lncRNAs in bulk transcriptome data remains challenging due to their low abundance compared to protein coding genes. To tackle this issue, we describe a unique short-read custom lncRNA capture sequencing approach that relies on a comprehensive set of 565,878 capture probes for 49,372 human lncRNA genes. This custom lncRNA capture approach was evaluated on various sample types ranging from artificial high-quality RNA mixtures to more challenging formalin-fixed paraffin-embedded tissue and biofluid material. The custom enrichment approach allows the detection of a more diverse repertoire of lncRNAs, with better reproducibility and higher coverage compared to classic total RNA-sequencing.
| EGAS00001005418 | EGA
Project description:Long non-coding RNAs (lncRNAs) have been identified in various tissues and cell types from human, monkey, porcine and mouse. However, expression profile of lncRNAs across Guangxi native cattle and swamp buffalo muscle development has never been investigated. Here, we examine the expression of lncRNA in cattle and buffalo muscle at adult stage(12 months), exhibiting the first report of lncRNA in the Guangxi native cattle and swamp buffalo muscle development of a large animal. 16,236 lncRNA candidates were obtained from buffalo skeletal muscle samples, of which a number of lncRNAs were highly abundant, and 2,161 lncRNAs were differentially expressed between buffalo and cattle. Real-time quantitative PCR (qPCR) analysis confirmed the expression profile of these lncRNAs, including several highly abundant lncRNAs, and a subset of differently expressed lncRNAs according to the high-throughput RNA sequencing (RNA-seq) data. These results indicate that abundant lncRNA is differentially expressed in bovine muscle, indicating important and diverse functions in mammalian muscle development.
2019-12-20 | GSE123869 | GEO
Project description:Background: Long non-coding RNAs (lncRNAs) are increasingly implicated as gene regulators and may ultimately be more numerous than protein-coding genes in the human genome. Despite large numbers of reported lncRNAs, reference annotations are likely incomplete due to their lower and tighter tissue-specific expression compared to mRNAs. An unexplored factor potentially confounding lncRNA identification is inter-individual expression variability. Here, we characterize lncRNA natural expression variability in human primary granulocytes. Results: We annotate granulocyte lncRNAs and mRNAs in RNA-seq data from ten healthy individuals, identifying multiple lncRNAs absent from reference annotations, and use this to investigate three known features (higher tissue-specificity, lower expression, and reduced splicing efficiency) of lncRNAs relative to mRNAs. Expression variability was examined in seven individuals sampled three times at one or more than one month intervals. We show that lncRNAs display significantly more inter-individual expression variability compared to mRNAs. We confirm this finding in 2 independent human datasets by analyzing multiple tissues from the GTEx project and lymphoblastoid cell lines from the GEUVADIS project. Using the latter dataset we also show that including more human donors into the transcriptome annotation pipeline allows identification of an increasing number of lncRNAs, but minimally affects mRNA gene number. Conclusions: A comprehensive annotation of lncRNAs is known to require an approach that is sensitive to low and tight tissue-specific expression. Here we show that increased inter-individual expression variability is an additional general lncRNA feature to consider when creating a comprehensive annotation of human lncRNAs or proposing their use as prognostic or disease markers. We used PolyA+ RNA-seq data from human primary granulocytes of 10 healthy individuals to de novo annotate lncRNAs and mRNAs in this cell type and ribosomal depleted (total) RNA-seq data from seven of these individuals sampled three times to analyze lncRNA amd mRNA expression variability
2016-01-05 | E-GEOD-70390 | biostudies-arrayexpress
Project description:Long non-coding RNAs (lncRNAs) can have potential roles in development of tissues and organs. We selected breast muscle of fast-growing White Recessive Rock chicken (WRR) and slow-growing Xing Hua chicken (XH) to identify lncRNA transcripts by LncRNA-Seq. This study identified 21,993 novel lncRNAs. Among 7,339 differentially expressed lncRNAs, 723 up-regulated and 6,616 down-regulated lncRNAs were found in WRR compared with XH. Of them, five novel lncRNA were antisense transcripts for growth-related genes CACNA1D (unigene 14689_all), IL4I1 (unigene 15355_all), LEF-1 (unigene 19525_all) and FABP1 (unigenes 17536_all and 17537_all) respectively. Meanwhile, 12 other novel lncRNAs were found in the intron or downstream of some known growth-related genes (IGF1, IGF2BP2, IGF2BP3, CACNA1D, IL4I1, LEF-1 and FABP1). In addition, 4,043 SSRs and 200,049 SNPs were identified. Our data revealed the global lncRNA expression pattern in muscle tissue, and contributed a useful genomic resource towards studying the effects of lncRNAs in regulating chicken growth. Two RNA pool for WRR and XH strains
2014-06-24 | E-GEOD-58755 | biostudies-arrayexpress
Project description:The Arraystar Human LncRNA Array v2.0 was designed for researchers who were interested in profiling both LncRNAs and protein-coding RNAs in human genome. 33,045 LncRNAs were collected from the authoritative data sources including RefSeq, UCSC knowngenes, Ensembl and many related literatures. This experiment is to profile lncRNAs and protein-coding RNAs using Arraystar Human LncRNA Array v2.0. Identification of coding RNAs and lncRNAs that are diffrentially expressed in colorectal cancer by comparing sample A-E (normal colorectal cells) vs sample F-J (colorectal tumor cells) and c-MYC-regulating lncRNAs by comparing sample 1-3 (triplicate of HCT116 cells treated with control siRNA) vs sample 4-6 (triplicate of HCT116 cells treated with siRNA targeting MYC) and sample 7-9 (triplicate of RKO cells treated with control siRNA) vs sample 10-12 (triplicate of RKO cells treated with siRNA targeting MYC) .
2013-09-20 | E-GEOD-39846 | biostudies-arrayexpress