Dataset Information

Identification of Potential Key Long Non-Coding RNAs and Target Genes Associated with Pneumonia Using Long Non-Coding RNA Sequencing (lncRNA-Seq): A Preliminary Study.

ABSTRACT: BACKGROUND This study aimed to identify the potential key long non-coding RNAs (lncRNAs) and target genes associated with pneumonia using lncRNA sequencing (lncRNA-seq). MATERIAL AND METHODS A total of 9 peripheral blood samples from patients with mild pneumonia (n=3) and severe pneumonia (n=3), as well as volunteers without pneumonia (n=3), were received for lncRNA-seq. Based on the sequencing data, differentially expressed lncRNAs (DE-lncRNAs) were identified by the limma package. After the functional enrichment analysis, target genes of DE-lncRNAs were predicted, and the regulatory network was constructed. RESULTS In total, 99 DE-lncRNAs (14 upregulated and 85 downregulated ones) were identified in the mild pneumonia group and 85 (72 upregulated and 13 downregulated ones) in the severe pneumonia group, compared with the control group. Among these DE-lncRNAs, 9 lncRNAs were upregulated in both the mild and severe pneumonia groups. A set of 868 genes were predicted to be targeted by these 9 DE-lncRNAs. In the network, RP11-248E9.5 and RP11-456D7.1 targeted the majority of genes. RP11-248E9.5 regulated several genes together with CTD-2300H10.2, such as QRFP and EPS8. Both upregulated RP11-456D7.1 and RP11-96C23.9 regulated several genes, such as PDK2. RP11-456D7.1 also positively regulated CCL21. CONCLUSIONS These novel lncRNAs and their target genes may be closely associated with the progression of pneumonia.

SUBMITTER: Huang S

PROVIDER: S-EPMC5040222 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Identification of Potential Key Long Non-Coding RNAs and Target Genes Associated with Pneumonia Using Long Non-Coding RNA Sequencing (lncRNA-Seq): A Preliminary Study.

Huang Sai S Feng Cong C Chen Li L Huang Zhi Z Zhou Xuan X Li Bei B Wang Li-Li LL Chen Wei W Lv Fa-Qin FQ Li Tan-Shi TS

Medical science monitor : international medical journal of experimental and clinical research 20160924

BACKGROUND This study aimed to identify the potential key long non-coding RNAs (lncRNAs) and target genes associated with pneumonia using lncRNA sequencing (lncRNA-seq). MATERIAL AND METHODS A total of 9 peripheral blood samples from patients with mild pneumonia (n=3) and severe pneumonia (n=3), as well as volunteers without pneumonia (n=3), were received for lncRNA-seq. Based on the sequencing data, differentially expressed lncRNAs (DE-lncRNAs) were identified by the limma package. After the fu ...[more]

PMID: 27663962

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Project description:BackgroundRecent advances in sequencing technology have opened a new era in RNA studies. Novel types of RNAs such as long non-coding RNAs (lncRNAs) have been discovered by transcriptomic sequencing and some lncRNAs have been found to play essential roles in biological processes. However, only limited information is available for lncRNAs in Drosophila melanogaster, an important model organism. Therefore, the characterization of lncRNAs and identification of new lncRNAs in D. melanogaster is an important area of research. Moreover, there is an increasing interest in the use of ChIP-seq data (H3K4me3, H3K36me3 and Pol II) to detect signatures of active transcription for reported lncRNAs.ResultsWe have developed a computational approach to identify new lncRNAs from two tissue-specific RNA-seq datasets using the poly(A)-enriched and the ribo-zero method, respectively. In our results, we identified 462 novel lncRNA transcripts, which we combined with 4137 previously published lncRNA transcripts into a curated dataset. We then utilized 61 RNA-seq and 32 ChIP-seq datasets to improve the annotation of the curated lncRNAs with regards to transcriptional direction, exon regions, classification, expression in the brain, possession of a poly(A) tail, and presence of conventional chromatin signatures. Furthermore, we used 30 time-course RNA-seq datasets and 32 ChIP-seq datasets to investigate whether the lncRNAs reported by RNA-seq have active transcription signatures. The results showed that more than half of the reported lncRNAs did not have chromatin signatures related to active transcription. To clarify this issue, we conducted RT-qPCR experiments and found that ~95.24% of the selected lncRNAs were truly transcribed, regardless of whether they were associated with active chromatin signatures or not.ConclusionsIn this study, we discovered a large number of novel lncRNAs, which suggests that many remain to be identified in D. melanogaster. For the lncRNAs that are known, we improved their characterization by integrating a large number of sequencing datasets (93 sets in total) from multiple sources (lncRNAs, RNA-seq and ChIP-seq). The RT-qPCR experiments demonstrated that RNA-seq is a reliable platform to discover lncRNAs. This set of curated lncRNAs with improved annotations can serve as an important resource for investigating the function of lncRNAs in D. melanogaster.

Dataset Information

Identification of Potential Key Long Non-Coding RNAs and Target Genes Associated with Pneumonia Using Long Non-Coding RNA Sequencing (lncRNA-Seq): A Preliminary Study.

Publications

Identification of Potential Key Long Non-Coding RNAs and Target Genes Associated with Pneumonia Using Long Non-Coding RNA Sequencing (lncRNA-Seq): A Preliminary Study.

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