Project description:Purpose: Accurate diagnosis of complete inactivation of tuberculosis lesions is still a challenge with respect to sputum-negative tuberculosis. RNA-sequencing was conducted to uncover potential lncRNA indicators of metabolic activity in tuberculosis lesions. Methods: Lung tissues with high metabolic activity (PET-high) and low metabolic activity (PET-low) demonstrated by fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) were collected from five sputum-negative tuberculosis patients for RNA-sequencing. Differentially expressed mRNAs and lncRNAs were identified, and their correlations were evaluated to constructed lncRNA-mRNA co-expression network. Afterwards, cis- or trans-targets of differentially expressed lncRNAs were predicted, followed by establishing lncRNA-target-pathway network, in which lncRNAs and mRNAs with high degrees were measured by quantitative real-time PCR using samples collected from 11 patients. Prediction efficiencies of lncRNA indicators were assessed by receiver operating characteristic curve analysis, Bioinformatics analysis was performed for potential lncRNAs. Results: In total, 386 mRNAs and 44 lncRNAs were identified to be differentially expressed. Differentially expressed mRNAs in lncRNA-mRNA co-expression network were significantly associated with the fibrillar collagen, platelet-derived growth factor binding, and leukocyte migration involved in inflammatory response. One cis-target gene and 440 trans-target genes were predicted for differentially expressed lncRNAs. Seven genes (C1QB, CD68, CCL5, CCL19, MMP7, HLA-DMB, and CYBB) and two lncRNAs (ENST00000429730.1 and MSTRG.93125.4) were validated to be significantly up-regulated. The area under the curve of ENST00000429730.1 and MSTRG.93125.4 was 0.750 and 0.813, respectively. Conclusion: Two lncRNAs ENST00000429730.1 and MSTRG.93125.4 might be considered as potential indicators of metabolic activity in tuberculosis lesions for sputum-negative tuberculosis.

Project description:Background: Glyphosate has become the most widely used herbicide in the world. Therefore, the development of new glyphosate-tolerant varieties is a research focus of seed companies and researchers. The glyphosate stress-responsive genes were used for the development of genetically modified crops, while only the EPSPS gene has been used currently in the study on glyphosate-tolerance in rice. Therefore, it is essential and crucial to intensify the exploration of glyphosate stress-responsive genes, to not only acquire otherglyphosate stress-responsive genes with clean intellectual property rights but also obtain non-transgenic glyphosate-tolerant rice varieties. This study is expected to elucidate the responses of miRNAs, lncRNAs, and mRNAs to glyphosate applications and the potential regulatory mechanisms in response to glyphosate stress in rice. Results: Leaves of the non-transgenic glyphosate-tolerant germplasm CA21 sprayed with 2 mg•ml-1 glyphosate (GLY) and CA21 plants with no spray (CK) were collected for high-throughput sequencing analysis. A total of 1197 DEGs, 131 DELs, and 52 DEMs were identified in the GLY samples in relation to CK samples. Genes were significantly enriched for various biological processes involved in detoxification of plant response to stress. A total of 385 known miRNAs from 59 miRNA families and 94 novel miRNAs were identified. Degradome analysis led to the identification of 32 target genes, of which, the squamosa promoter-binding-like protein 12 (SPL12) was identified as a target of osa-miR156a_L+1. The lncRNA-miRNA-mRNA regulatory network consisted of osa-miR156a_L+1, two transcripts of SPL12 (LOC_Os06g49010.3 and LOC_Os06g49010.5), and 13 lncRNAs (e.g., MSTRG.244.1 and MSTRG.16577.1). Conclusion: Large-scale expression changes in coding and noncoding RNA were observed in rice mainly due to its response to glyphosate. SPL12, osa-miR156, and lncRNAs (e.g., MSTRG.244.1 and MSTRG.16577.1) could be a novel ceRNA mechanism in response to glyphosate stress in rice.

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Novel long non-coding RNAs involved in poly(I:C)-inducible immunoresponses in endometrial stromal cells

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