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:To improve our understanding of lncRNA expression in T cells, we used whole genome sequencing (RNA-seq) to identify lncRNAs expressed in human T cells and those selectively expressed in T cells differentiated under TH1, TH2, or TH17 polarizing conditions. The majority of these lineage-specific lncRNAs are co-expressed with lineage-specific protein-coding genes. These lncRNAs are predominantly intragenic with co-expressed protein-coding genes and are transcribed in sense and antisense orientations with approximately equal frequencies. Further, genes encoding TH lineage specific mRNAs are not randomly distributed across the genome but are highly enriched in the genome in genomic regions also containing genes encoding TH lineage-specific lncRNAs. Our analyses also identify a cluster of antisense lncRNAs transcribed from the RAD50 locus that are selectively expressed under TH2 polarizing conditions and co-expressed with IL4, IL5 and IL13 genes. Depletion of these lncRNAs via selective siRNA treatment demonstrates the critical requirement of these lncRNAs for expression of the TH2 cytokines, IL-4, IL-5 and IL-13. Collectively, our analyses identify new lncRNAs expressed in a TH lineage specific manner and identify a critical role for a cluster of lncRNAs for expression of genes encoding TH2 cytokines. Human peripheral blood mononuclear cells (PBMC) were cultured under TH1, TH2, and TH17 polarizing conditions. TH1, TH2, and TH17 primary and effector cultures were isolated and poly(A)+ and total RNA sequencing performed.
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
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.
Project description:Aim: To determine how different classes of transcript (e.g. lncRNAs and mRNAs) are defined in the cell. Approach: We determined the transcriptome-wide targets of key RNA packaging, maturation, export and turnover factors. We used the CRAC technique, whereby RNA:protein interactions are fixed by UV irradiation of yeast cultures, and RNA:protein complexes obtained via a stringent multi-step purification. A mild RNase treatment fragments the bound RNAs, which are then used as templates for RT-PCR, prior to sequencing. This approach enabled us to compare the maturation and turnover pathways of mRNAs and lncRNAs. Results: Our data reveal that mRNA and lncRNA maturation pathways diverge prior to nuclear export, and 3' end processing emerges as a key step in determining transcript fate. Our analyses also reveal when and where the tested proteins bind to mRNAs, and thus offer much insight into the dynamic assembly of mRNPs. Analyses of reads with non-genome-encoded A-tails enabled us to distinguish proteins bound to stable poly(A) tails on full-length mRNAs, and to short oligo(A)4-5 tails on nuclear surveillance intermediates. This lead to the identification of a novel class of promoter-proximal ncRNAs, that we suggest arise from early termination within protein-coding genes. Identification of targets of RNA packaging, processing, export and turnover factors in wild-type cells; replicates included for some but not all samples; “BY” samples are negative controls, which use untagged strains
Project description:Research on lncRNAs expression profiles in human interactions with Helicobacter pylori (H.pylori) is rare reported. We used HTA2.0 to investigate the expression changes of lncRNAs and mRNAs in human gastric epithelial cells (GES-1 cell line) infected with or without H.pylori infection. Our study provided a preliminary exploration of lncRNAs expression profiles in H.pylori-infected cell models by microarray. A subset of aberrantly expressed lncRNAs was verified by qRT-PCR. These dysregulated lncRNAs might contribute to the pathological processes during H.pylori infection. We infected GES-1 cells with H.pylori as experimental groups,and cells without H.pylori infection were regarded as control groups. After 24hr-infection, cells of each group were selected for total RNA extraction and hybridization on Affymetrix HTA2.0 arrays. The aberrant expression profiles of lncRNAs and mRNAs were explored by microarray analysis between experimental and control groups.
Project description:We identified 177 lncRNAs and 153 mRNAs that were differentially expressed (â?¥ 2-fold change), indicating that many lncRNAs are significantly upregulated or downregulated in AF. Among these, NONHSAT040387 and NONHSAT098586 were the most up-regulated and downregulated lncRNAs, and were selected for validation via quantitative PCR. GO analysis and KEGG pathway were applied to exploring potential lncRNAs function, identifying several pathways were alerted in atrial fibrillation pathogenesis. we investigated the expression patterns of lncRNAs and mRNAs from atrial fibrillation with Agilent Human lncRNA array V4.0 (4 Ã? 180 K), which include 78,243 human lncRNAs and 30,215 coding transcripts.
Project description:Chemoresistance is a major cause of poor prognosis of breast cancer.More and more mRNAs and lncRNAs are reported to upregulate chemoresistance in breast cancer.To explore the how mRNAs and lncRNAs involved in chemoresistance of breast cancer,we sceened upregulated mRNAs and lncRNA from parental MCF-7 , chemoresistant MCF-7 cells as well as 4 breast cancer tissue sensitive to chemotherapy and 4 resistant to chemotherapy . Total RNA was extracted using Trizol reagent. Agilent Human lncRNA Microarray V6 (4*180K) was used to analyze the global profiling of human lncRNAs and protein-coding transcripts in these samples. The microarray contains 83,835 lncRNAs and 27,233 coding genes.
Project description:There is a growing appreciation of the role of non-coding RNAs in the regulation of gene and protein expression. Long non-coding RNAs can modulate splicing by hybridizing with precursor messenger RNAs (pre-mRNAs) and influence RNA editing, mRNA stability, translation activation and microRNA-mRNA interactions by binding to mature mRNAs. LncRNAs are highly abundant in the brain and have been implicated in neurodevelopmental disorders. Long intergenic non-coding RNAs are the largest subclass of lncRNAs and play a crucial role in gene regulation. We used RNA sequencing and bioinformatic analyses to identify lincRNAs and their predicted mRNA targets associated with fear extinction that was induced by intra-hippocampally administered D-cycloserine in an animal model investigating the core phenotypes of PTSD. We identified 43 differentially expressed fear extinction related lincRNAs and 190 differentially expressed fear extinction related mRNAs. Eight of these lincRNAs were predicted to interact with and regulate 108 of these mRNAs and seven lincRNAs were predicted to interact with 22 of their pre-mRNA transcripts. On the basis of the functions of their target RNAs, we inferred that these lincRNAs bind to nucleotides, ribonucleotides and proteins and subsequently influence nervous system development, and morphology, immune system functioning, and are associated with nervous system and mental health disorders. Quantitative trait loci that overlapped with fear extinction related lincRNAs, included serum corticosterone level, neuroinflammation, anxiety, stress and despair related responses. This is the first study to identify lincRNAs and their RNA targets with a putative role in transcriptional regulation during fear extinction.
Project description:The eukaryotic genome has vast intergenic regions containing transposons, pseudogenes and other repetitive sequences. They produce numerous long non-coding RNAs (lncRNAs) and PIWI-interacting RNAs (piRNAs), yet the functions of the vast intergenic regions remain largely unknown. Mammalian piRNAs are abundantly expressed in late spermatocytes and round spermatids. Their expression coincides with the widespread expression of lncRNAs from the genome of these cells. Here, we show that piRNAs mediate the degradation of a large number of mRNAs and lncRNAs in mouse late spermatocytes. In particular, they have a large impact on the lncRNA transcriptome, as a quarter of lncRNAs expressed in late spermatocytes are upregulated in mice deficient in piRNA pathway. Furthermore, our genomic and in vivo functional analyses reveal that retrotransposon sequences in the 3´UTR of mRNAs are potentially targeted by piRNAs for degradation. Similarly, a large number of spermatogenic cell-specific lncRNAs are degraded by piRNAs via retrotransposon sequences. Moreover, we show that pseudogenes regulate mRNA stability via the piRNA pathway. The degradation of mRNAs and lncRNAs by piRNAs requires MIWI and, at least in part, depends on its slicer activity. Together, these findings reveal the presence of the highly complex and global RNA regulatory network mediated by piRNAs with retrotransposons and pseudogenes as regulatory sequences. RNA-seq of MIWI-immunoprecipitated RNAs from Late spermatocytes in Miw+/-, MiwiADH/-, Miwi-/-