High temporal resolution RNA-seq time series of serum-starved T98G human glioblastoma cells responding to serum stimulation
Ontology highlight
ABSTRACT: The advent of next-generation sequencing revealed extensive transcription outside the boundaries of annotated protein-coding genes, giving rise to tens of thousands of long non-coding RNAs (lncRNAs). The functional relevance of these transcripts remains unclear. Compellingly, lncRNA expression is strongly linked with adjacent protein-coding gene expression, suggesting potential cis-regulatory roles. To investigate whether these regulatory roles exist, we examine in detail the timing of lncRNA expression relative to transcripts of known function. If a causal cis-regulatory relationship exists, lncRNA activation must necessarily precede changes in adjacent target gene expression. Here, we report a high temporal resolution RNA-seq time course of synchronized T98G human glioblastoma cells responding to serum stimulation. Detailed profiling of the expression dynamics of lncRNAs and protein-coding genes in these synchronized transitioning human cells provides insight into the feasibility of broad-scale cis-regulatory roles for lncRNAs.
Project description:The molecular mechanism of ECC in the genesis and progression is still unclear. Long non-coding RNAs (lncRNAs) have been shown to play critical regulatory roles in cancer biology. In order to understand lncRNAs expression patterns and their potential functional in ECC, we performed a transcriptome analysis of lncRNA and mRNA expression in ECC and paired adjacent noncancerous tissues using Agilent Human lncRNA +mRNA array V4.0 (4 × 180 K).
Project description:Long non-coding RNAs (lncRNAs) play key roles in cell processes and are good candidates for cancer risk prediction. Few studies have investigated the association between individual genotypes and lncRNA expression. Here we integrate three separate datasets with information on lncRNA expression only, both lncRNA expression and genotype, and genotype information only, to identify circulating lncRNAs associated with the risk of gallbladder cancer (GBC), using robust linear and logistic regression techniques. In the first dataset, we preselect lncRNAs based on expression changes along the sequence “gallstones → dysplasia → GBC”. In the second dataset, we validate associations between genetic variants and serum expression levels of the preselected lncRNAs (cis-lncRNA-eQTLs) and build lncRNA-expression prediction models. In the third dataset, we predict serum lncRNA expression based on individual genotypes, and assess the association between genotype-based expression and GBC risk. AC084082.3 and LINC00662 showed increasing expression levels (p value = 0.009), while C22orf34 expression decreased in the sequence from gallstones to GBC (p value = 0.04). We identified and validated two cis-LINC00662-eQTLs (r2= 0.26) and three cis-C22orf34-eQTLs (r2 = 0.24). Only LINC00662 showed a genotyped-based serum expression associated with GBC risk (OR=1.25 per log2 expression unit, 95%CI 1.04-1.52, p value = 0.02).
Project description:Long non-coding RNAs (lncRNAs) are components of epigenetic control mechanisms that ensure appropriate and timely gene expression. The functions of lncRNAs are often mediated through associated gene regulatory activities, but how lncRNAs are distinguished from other RNAs and recruit effector complexes is unclear. Here we utilize the fission yeast Schizosaccharomyces pombe to investigate how lncRNAs engage silencing activities to regulate gene expression in cis. We find that invasion of lncRNA transcription into the downstream gene body incorporates a cryptic intron required for repression of that gene. Our analyses show that lncRNAs containing cryptic introns are targeted by the conserved Pir2ARS2 protein in association with splicing factors, which recruit RNA processing and chromatin modifying activities involved in gene silencing. Pir2 and splicing machinery are broadly required for gene repression. Our finding that human ARS2 also interacts with splicing factors suggests a conserved mechanism mediates gene repression through cryptic introns within lncRNAs.
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.
Project description:lncRNAs play important roles in various physiological and pathological processes. However, the detailed molecular mechanisms by which lncRNAs act are still incomplete. Here, we functionally characterized the nuclear-enriched lncRNA SNHG1 which is highly expressed in several types of cancer relative to surrounding normal tissues. SNHG1 was regulated by oncogenic factor c-Myc and could promote tumor growth. We found that SNHG1 was involved in the Akt signaling pathway through promoting the neighboring transcription of protein-coding gene SLC3A2 in cis, by binding to the Mediator complex to facilitate enhancer-promoter interaction. Transcriptome analysis further revealed that several stress response genes, as well as signaling pathways, were regulated by SNHG1. Importantly, SNHG1 coordinated the expression of ATF3 through preventing FUBP1 from binding to its upstream regulatory region. Collectively, our findings demonstrate that lncRNA SNHG1 can function both in cis and in trans with distinct mechanisms to promote tumorigenesis and progression. Even, Odd probes targeting SNHG1 sequence, and control probes targeting LacZ. Probes was coupled with biotin, the captured DNA was prepared for library then sequencing.
Project description:Long non-coding RNAs (lncRNAs) are involved in cancer progression. In this study, the lncRNA profiling were analyzed in chemoresistant and sensitive breast cancer cells. We found a group of dysregulated lncRNAs in chemoresistant cells. Expression of dysregulated lncRNAs are correlated with dysregulated mRNAs, and enriched in GO and KEGG pathways related with cancer progression and chemoresistance development. Within those lncRNA-mRNA interactions, some lncRNAs may cis-regulate neighboring protein coding genes and involved in chemoresistance. The lncRNA NONHSAT028712 was then validated to regulate nearby CDK2 and interfere with cell cycle and chemoresistance. Furthermore, we identified another group of lncRNAs trans-regulated gene expression via interacting with different transcription factors (TF). Whereby NONHSAT057282 and NONHSAG023333 was found to modulate chemoresistance and most likely interacted with ELF1 and E2F1 respectively. In conclusion, this study reported for the first time the lncRNA expression patterns in chemoresistant breast cancer cells, and provided a group of novel lncRNA targets in mediating chemoresistance development in both cis- and trans- action mode. MCF-7/ADM replication 3 times, MCF-7/WT replication 3 times
Project description:We report that long noncoding RNAs contribute to transcription and developmental process. Thousands of lncRNAs have been identified in the whole genome, and tend to located closely to protein-coding genes. To study position relationship between lncRNA and protein-coding genes, we classified all of lncRNA to several subgroups based on the genome position with their coding neighbors. XH, the head to head subgroup is associated with transcription and development in GO analysis. Here, we knockdown serveral XH lncRNA by shRNA in embryonic stem cells and induce nondirectional differnetiation by removing LIF or neural differnetiation by RA. Knockdown of XH lncRNAs led to uniform downregulation of nearby coding genes, and form regulatory circuits with its nearby coding genes to fine-tune embryonic lineage development. In addition, we also knockout one lncRNA-Evx1as and its nearby protein-coding gene-EVX1 by CRISPR, and get similar results as knockdown.We propose that XH lncRNA may function primarily as 'cis-regulators' of the expression of nearby protein-coding genes, and tend to participate in transcriptional or development regulations as their coding neighbors. All RNA-seq(s) were designed to reveal the differentially expressed genes between wild-type and XH lncRNA knockdown/knockout ESCs during differentiation.
Project description:We report that long noncoding RNAs contribute to transcription and developmental process. Thousands of lncRNAs have been identified in the whole genome, and tend to located closely to protein-coding genes. To study position relationship between lncRNA and protein-coding genes, we classified all of lncRNA to several subgroups based on the genome position with their coding neighbors. XH, the head to head subgroup is associated with transcription and development in GO analysis. Here, we knockdown serveral XH lncRNA by shRNA in embryonic stem cells and induce nondirectional differnetiation by removing LIF or neural differnetiation by RA. Knockdown of XH lncRNAs led to uniform downregulation of nearby coding genes, and form regulatory circuits with its nearby coding genes to fine-tune embryonic lineage development. In addition, we also knockout one lncRNA-Evx1as and its nearby protein-coding gene-EVX1 by CRISPR, and get similar results as knockdown.We propose that XH lncRNA may function primarily as 'cis-regulators' of the expression of nearby protein-coding genes, and tend to participate in transcriptional or development regulations as their coding neighbors. All RNA-seq(s) were designed to reveal the differentially expressed genes between wild-type and XH lncRNA knockdown/knockout ESCs during differentiation.
Project description:Long noncoding RNAs (LncRNAs) are an important class if pervasive genes involved in a variety of biological functions. LncRNAs have been recently implicated as having oncogenic and tumor suppressor roles. To further investigate the function of lncRNA in gastric cancer, we use lncRNA microarray to describe LncRNAs profiles in 6 pairs of human gastric adenocarcinoma and the corresponding adjacent nontumorous tissues. The experimental samples are divided into two groups(normal and tumor) to compare lncRNA expression profiling of those
Project description:Recent studies show that long non-coding RNAs (lncRNAs) play crucial roles in human cancers. However, functional lncRNAs and their downstream mechanisms are largely unknown in the molecular pathogenesis of intrahepatic cholangiocarcinoma (ICC) and its progression. In the present study, we performed transcriptomic profiling of five ICC and paired adjacent noncancerous tissues (N) using lncRNA and mRNA microarrays to identify relevant biomarkers in ICC. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the microarray results. We sought correlations between the expression levels of lncRNAs and those of target genes. Clinicopathological characteristics and overall survival were compared using the t-test and the Kaplan–Meier method, respectively. A total of 3,054 and 2,111 lncRNAs were significantly up- and down-regulated(fold change?2, p?0.05) in ICC tissues compared to the adjacent NT samples. Bioinformatic analysis indicated that most such genes were related to carcinogenesis, hepatic system disease, and signal transduction. Positive correlations were evident between four pairs of lncRNAs and target mRNAs (RNA43085 and SULF1, RNA47504 and KDM8, RNA58630 and PCSK6, and RNA40057 and CYP2D6). In addition, some lncRNAs and mRNAs were significantly associated with clinicopathological characteristics. The cumulative overall survival rate was significantly associated with low-level expression of CYP2D6 (p=0.005) and PCSK6 (p=0.038). And patients with high expression levels of CYP2D6 and RNA40057 have significant better prognosis (p=0.014). Our results suggested that lncRNA expression profile in ICC tissues is profoundly different from that in NT samples. The lncRNA signature could be used as a biomarker for the prognosis of patients with ICC. Furthermore, the combination of lncRNA and mRNA can reliably predict the survival. The lncRNA expression profiles of cancer and adjacent normal tissues form 5 ICC patients were studied by microarray and an combination of lncRNA and mRNA could be used as a biomarker for the prognosis of patients with ICC