scholarly journals Faecal miRNA profiles associated with age, sex, BMI, and lifestyle habits in healthy individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Antonio Francavilla ◽  
Amedeo Gagliardi ◽  
Giulia Piaggeschi ◽  
Sonia Tarallo ◽  
Francesca Cordero ◽  
...  
Keyword(s):  
Target Genes ◽  
Smoking Status ◽  
Association Studies ◽  
Menopausal Status ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Lifestyle Habits ◽  
Differentially Expressed Mirnas

AbstractFor their stability and detectability faecal microRNAs represent promising molecules with potential clinical interest as non-invasive diagnostic and prognostic biomarkers. However, there is no evidence on how stool miRNA profiles change according to an individual’s age, sex, and body mass index (BMI) or how lifestyle habits influence the expression levels of these molecules. We explored the relationship between the stool miRNA levels and common traits (sex, age, BMI, and menopausal status) or lifestyle habits (physical activity, smoking status, coffee, and alcohol consumption) as derived by a self-reported questionnaire, using small RNA-sequencing data of samples from 335 healthy subjects. We detected 151 differentially expressed miRNAs associated with one variable and 52 associated with at least two. Differences in miR-638 levels were associated with age, sex, BMI, and smoking status. The highest number of differentially expressed miRNAs was associated with BMI (n = 92) and smoking status (n = 84), with several miRNAs shared between them. Functional enrichment analyses revealed the involvement of the miRNA target genes in pathways coherent with the analysed variables. Our findings suggest that miRNA profiles in stool may reflect common traits and lifestyle habits and should be considered in relation to disease and association studies based on faecal miRNA expression.

scholarly journals Identification of microRNAs in Silver Carp (Hypophthalmichthys molitrix) Response to Hypoxia Stress

Animals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2917
Author(s):  
Qiaoxin Wang ◽  
Xiaohui Li ◽  
Hang Sha ◽  
Xiangzhong Luo ◽  
Guiwei Zou ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Target Genes ◽  
Silver Carp ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Hypophthalmichthys Molitrix ◽  
Hypoxia Stress ◽  
Differentially Expressed Mirnas

Hypoxia is one of the serious stresses in fish culture, which can lead to physical and morphological changes, and cause injury and even death to fish. Silver carp (Hypophthalmichthys molitrix) is an important economic fish and widely distributed in China. MicroRNA is a kind of endogenous non-coding single-stranded small RNA, which is involved in cell development, and immune response and gene expression regulation. In this study, silver carp were kept in the closed containers for hypoxia treatment by spontaneous oxygen consumption. The samples of heart, brain, liver and gill were collected, and the total RNAs extracted separately from the four tissues were mixed in equal amounts according to the concentration. Afterwards, the RNA pool was constructed for high-throughput sequencing, and based on the small RNA sequencing, the differentially expressed microRNAs were identified. Furthermore, their target gene prediction and enrichment analyses were carried out. The results showed that a total of 229 known miRNAs and 391 putative novel miRNAs were identified, which provided valuable resources for further study on the regulatory mechanism of miRNAs in silver carp under hypoxia stress. The authors verified 16 differentially expressed miRNAs by qRT-PCR, and the results were consistent with small RNA sequencing (sRNA-seq). The predicted target genes number of differentially expressed miRNAs was 25,146. GO and KEGG functional enrichment analysis showed that these target genes were mainly involved in the adaption of hypoxia stress in silver carp through biological regulation, catalytic activity and apoptosis. This study provides references for further study of interaction between miRNAs and target genes, and the basic data for the response mechanism under hypoxia stress in silver carp.

scholarly journals Small RNA sequencing evaluation of renal microRNA biomarkers in dogs with X-linked hereditary nephropathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Candice P. Chu ◽  
Shiguang Liu ◽  
Wenping Song ◽  
Ethan Y. Xu ◽  
Mary B. Nabity
Keyword(s):  
Small Rna ◽  
Target Genes ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Rna Seq ◽  
Ckd Progression ◽  
Critical Pathways ◽  
Qrt Pcr ◽  
Hereditary Nephropathy ◽  
Differentially Expressed Mirnas

AbstractDogs with X-linked hereditary nephropathy (XLHN) are an animal model for Alport syndrome in humans and progressive chronic kidney disease (CKD). Using mRNA sequencing (mRNA-seq), we have characterized the gene expression profile affecting the progression of XLHN; however, the microRNA (miRNA, miR) expression remains unknown. With small RNA-seq and quantitative RT-PCR (qRT-PCR), we used 3 small RNA-seq analysis tools (QIAGEN OmicSoft Studio, miRDeep2, and CPSS 2.0) to profile differentially expressed renal miRNAs, top-ranked miRNA target genes, and enriched biological processes and pathways in CKD progression. Twenty-three kidney biopsies were collected from 5 dogs with XLHN and 4 age-matched, unaffected littermates at 3 clinical time points (T1: onset of proteinuria, T2: onset of azotemia, and T3: advanced azotemia). We identified up to 23 differentially expressed miRNAs at each clinical time point. Five miRNAs (miR-21, miR-146b, miR-802, miR-142, miR-147) were consistently upregulated in affected dogs. We identified miR-186 and miR-26b as effective reference miRNAs for qRT-PCR. This study applied small RNA-seq to identify differentially expressed miRNAs that might regulate critical pathways contributing to CKD progression in dogs with XLHN.

scholarly journals Characteristic Dissection of Xanthomonas oryzae pv. oryzae Responsive MicroRNAs in Rice

2020 ◽  
Vol 21 (3) ◽  
pp. 785
Author(s):  
Yanfeng Jia ◽  
Chunrong Li ◽  
Quanlin Li ◽  
Pengcheng Liu ◽  
Dongfeng Liu ◽  
...  
Keyword(s):  
Rice Variety ◽  
Bioinformatic Analysis ◽  
Infection Process ◽  
Xanthomonas Oryzae ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Stem Loop ◽  
Differentially Expressed Mirnas ◽  
Plant Pathogen Interaction

MicroRNAs (miRNAs) are crucial player in plant-pathogen interaction. While the evidence has demonstrated that rice miRNAs mediate immune response to pathogens invasion, the roles of miRNAs on Xanthomonas oryzae pv. oryzae (Xoo) attack remain be in place. Herein, we monitored the responsive changes of rice miRNAs at 0, 8, 24 h across Xoo strain PXO86 infection in its compatible rice variety IR24 and incompatible variety IRBB5 by small RNA sequencing, and the genes targeted by miRNAs were also detected via degradome technology. The faithfulness of sequencing data was validated through quantitative real-time stem-loop reverse transcription-polymerase chain reaction assay. Bioinformatic analysis showed that the differentially expressed miRNAs could be divided into three immunity-related clusters, and 80 regulatory units were emerged in infection process, which comprises 29 differentially expressed known miRNAs and 38 cleaved targets. Furthermore, the miRNA presumptive function of separate immunity cluster in rice-Xoo interplay was confirmed through overexpressing osa-miR164a, osa-miR167d and osa-miR159b, and the disruption of regulatory units, osa-miR164a/OsNAC60, osa-miR167d-5p/OsWD40-174 and osa-miR159b/OsMYBGA, OsLRR-RLK2, OsMPK20-4, may reset rice defense response to Xoo infestation in a controllable manner. These findings provide new insights into the complex roles of characteristic miRNAs and their targets in rice-Xoo interactions.

scholarly journals Identification of Differentially Expressed MicroRNAs and Their Potential Target Genes in Adipose Tissue from Pigs with Highly Divergent Backfat Thickness

Animals ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 624
Author(s):  
Kai Xing ◽  
Xitong Zhao ◽  
Yibing Liu ◽  
Fengxia Zhang ◽  
Zhen Tan ◽  
...  
Keyword(s):  
Target Genes ◽  
Expression Patterns ◽  
Fat Deposition ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Backfat Thickness ◽  
P Value ◽  
Sibling Pairs ◽  
Differentially Expressed Mirnas

Fatty traits are very important in pig production. However, the role of microRNAs (miRNAs) in fat deposition is not clearly understood. In this study, we compared adipose miRNAs from three full-sibling pairs of female Landrace pigs, with high and low backfat thickness, to investigate the associated regulatory network. We obtained an average of 17.29 million raw reads from six libraries, 62.27% of which mapped to the pig reference genome. A total of 318 pig miRNAs were detected among the samples. Among them, 18 miRNAs were differentially expressed (p-value < 0.05, |log2fold change| ≥ 1) between the high and low backfat groups; 6 were up-regulated and 12 were down-regulated. Functional enrichment of the predicted target genes of the differentially expressed miRNAs, indicated that these miRNAs were involved mainly in lipid and carbohydrate metabolism, and glycan biosynthesis and metabolism. Comprehensive analysis of the mRNA and miRNA transcriptomes revealed possible regulatory relationships for fat deposition. Negatively correlated mRNA–miRNA pairs included miR-137–PPARGC1A, miR-141–FASN, and miR-122-5p–PKM, indicating these interactions may be key regulators of fat deposition. Our findings provide important insights into miRNA expression patterns in the backfat tissue of pig and new insights into the regulatory mechanisms of fat deposition in pig.

scholarly journals System Analysis of MIRNAs in Maize Internode Elongation

Biomolecules ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 417
Author(s):  
Chuanxi Peng ◽  
Xing Wang ◽  
Tianyu Feng ◽  
Rui He ◽  
Mingcai Zhang ◽  
...  
Keyword(s):  
Target Genes ◽  
System Analysis ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Internode Elongation ◽  
Differentially Expressed Mirnas ◽  
Post Transcriptional Regulation

MicroRNAs (miRNAs), the post-transcriptional gene regulators, are known to play an important role in plant development. The identification of differentially expressed miRNAs could better help us understand the post-transcriptional regulation that occurs during maize internode elongation. Accordingly, we compared the expression of MIRNAs between fixed internode and elongation internode samples and classified six differentially expressed MIRNAs as internode elongation-responsive miRNAs including zma-MIR160c, zma-MIR164b, zma-MIR164c, zma-MIR168a, zma-MIR396f, and zma-MIR398b, which target mRNAs supported by transcriptome sequencing. Functional enrichment analysis for predictive target genes showed that these miRNAs were involved in the development of internode elongation by regulating the genes respond to hormone signaling. To further reveal how miRNA affects internode elongation by affecting target genes, the miRNA–mRNA–PPI (protein and protein interaction) network was constructed to summarize the interaction of miRNAs and these target genes. Our results indicate that miRNAs regulate internode elongation in maize by targeting genes related to cell expansion, cell wall synthesis, transcription, and regulatory factors.

scholarly journals Expression of microRNAs in the hypothalamus of pregnant and non-pregnant goats

2021 ◽  
Vol 66 (No. 5) ◽  
pp. 156-167
Author(s):  
Lu Zhu ◽  
Jingtong Huang ◽  
Jing Jing ◽  
Qi Zheng ◽  
Qianyun Ji ◽  
...  
Keyword(s):  
Target Genes ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Protein Coding ◽  
Reproductive Process ◽  
Animal Reproduction ◽  
Differentially Expressed Mirnas ◽  
Hypothalamic Regulation ◽  
Basic Reference

MicroRNAs (miRNAs) play a significant role in animal reproduction by regulating the expression of protein-coding genes. The hypothalamus regulates the pregnancy cycle changes in goats; however, the action mechanism of miRNAs in this regulation remains to be investigated. In this study, we performed RNA sequencing of hypothalamus samples to establish a comprehensive miRNA profiling of pregnant and non-pregnant goats. A total of 384 miRNAs were identified in the hypothalamus of pregnant goats, of which 239 were newly discovered, and 390 miRNAs were detected in the hypothalamus of non-pregnant goats of which 192 were novel miRNAs. In addition, a total of 280 differentially expressed miRNAs are characterized, of which 171 were known miRNAs and 109 were novel miRNAs. Functional enrichment suggests that the predicted target genes of differentially expressed miRNAs may be involved in the reproductive process. This preliminary study revealed that let-7f-5p, miR-99a-5p and miR-100-5p may be involved in the hypothalamic regulation of pregnancy cycle changes in goats. These data provide a basic reference for subsequent studies on the regulatory role of miRNAs in mammalian pregnancy.

scholarly journals The Encystment-Related MicroRNAs and Its Regulation Molecular Mechanism in Pseudourostyla cristata Revealed by High Throughput Small RNA Sequencing

2020 ◽  
Vol 21 (7) ◽  
pp. 2309
Author(s):  
Nan Pan ◽  
Muhammad Zeeshan Bhatti ◽  
Haiyang Zhang ◽  
Bing Ni ◽  
Xinpeng Fan ◽  
...  
Keyword(s):  
Target Genes ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Ciliated Protozoa ◽  
Two Component System ◽  
Vegetative Cells ◽  
Cellular Processes ◽  
Physiological Processes ◽  
Differentially Expressed Mirnas ◽  
Pseudourostyla Cristata

MicroRNAs (miRNAs) regulate the expression of target genes in diverse cellular processes and play important roles in different physiological processes. However, little is known about the microRNAome (miRNAome) during encystment of ciliated protozoa. In the current study, we first investigated the differentially expressed miRNAs and relative signaling pathways participating in the transformation of vegetative cells into dormant cysts of Pseudourostyla cristata (P. cristata). A total of 1608 known miRNAs were found in the two libraries. There were 165 miRNAs with 1217 target miRNAs. The total number of differential miRNAs screened between vegetative cells and dormant cysts databases were 449 with p < 0.05 and |log2 fold changes| > 1. Among them, the upregulated and downregulated miRNAs were 243 and 206, respectively. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that some of the differentially expressed miRNAs were mainly associated with oxidative phosphorylation, two-component system, and biosynthesis of amino acids. Combining with our bioinformatics analyzes, some differentially expressed miRNAs including miR-143, miR-23b-3p, miR-28, and miR-744-5p participates in the encystment of P. cristata. Based on these findings, we propose a hypothetical signaling network of miRNAs regulating or promoting P. cristata encystment. This study shed new lights on the regulatory mechanisms of miRNAs in encystment of ciliated protozoa.

scholarly journals Determination of the MiRNAs Related to Bean Pyralid Larvae Resistance in Soybean Using Small RNA and Transcriptome Sequencing

2019 ◽  
Vol 20 (12) ◽  
pp. 2966 ◽  
Author(s):  
Weiying Zeng ◽  
Zudong Sun ◽  
Zhenguang Lai ◽  
Shouzhen Yang ◽  
Huaizhu Chen ◽  
...  
Keyword(s):  
Small Rna ◽  
Transcriptome Sequencing ◽  
Target Genes ◽  
Isoquinoline Alkaloid ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Small Rna Sequencing ◽  
Regulatory Pathways ◽  
Oil Crops ◽  
Differentially Expressed Mirnas

Soybean is one of the most important oil crops in the world. Bean pyralid is a major leaf-feeding insect of soybean. In order to screen out the functional genes and regulatory pathways related to the resistance for bean pyralid larvae, the small RNA and transcriptome sequencing were performed based on the highly resistant material (Gantai-2-2) and highly susceptible material (Wan 82-178) of soybean. The results showed that, when comparing 48 h feeding with 0 h feeding, 55 differentially expressed miRNAs were identified in Gantai-2-2 and 58 differentially expressed miRNAs were identified in Wan82-178. When comparing Gantai-2-2 with Wan82-178, 77 differentially expressed miRNAs were identified at 0 h feeding, and 70 differentially expressed miRNAs were identified at 48 h feeding. The pathway analysis of the predicted target genes revealed that the plant hormone signal transduction, RNA transport, protein processing in the endoplasmic reticulum, zeatin biosynthesis, ubiquinone and other terpenoid-quinone biosynthesis, and isoquinoline alkaloid biosynthesis may play important roles in soybean’s defense against the stress caused by bean pyralid larvae. According to conjoint analysis of the miRNA/mRNA, a total of 20 differentially expressed miRNAs were negatively correlated with 26 differentially expressed target genes. The qRT-PCR analysis verified that the small RNA sequencing results were credible. According to the analyses of the differentially expressed miRNAs, we speculated that miRNAs are more likely to play key roles in the resistance to insects. Gma-miR156q, Gma-miR166u, Gma-miR166b, Gma-miR166j-3p, Gma-miR319d, Gma-miR394a-3p, Gma-miR396e, and so on—as well as their negatively regulated differentially expressed target genes—may be involved in the regulation of soybean resistance to bean pyralid larvae. These results laid a foundation for further in-depth research regarding the action mechanisms of insect resistance.

scholarly journals Identification of miRNAs and Their Target Genes Involved in Cucumber Fruit Expansion Using Small RNA and Degradome Sequencing

Biomolecules ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 483 ◽  
Author(s):  
Sun ◽  
Luo ◽  
Chang ◽  
Li ◽  
Zhou ◽  
...  
Keyword(s):  
Small Rna ◽  
High Throughput Sequencing ◽  
Target Genes ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Sequencing Data ◽  
Degradome Sequencing ◽  
Complex Biological Process ◽  
Cucumber Fruit ◽  
Differentially Expressed Mirnas

Fruit expansion is an essential and very complex biological process. Regulatory roles of microRNAs (miRNAs) and miRNA–mRNA modules in the cucumber fruit expansion are not yet to be investigated. In this work, 1253 known and 1269 novel miRNAs were identified from nine cucumber fruit small RNA (sRNA) libraries through high-throughput sequencing. A total of 105 highly differentially expressed miRNAs were recognized in the fruit on five days post anthesis with pollination (EXP_5d) sRNA library. Further, expression patterns of 11 differentially expressed miRNAs were validated by quantitative real-time PCR (qRT-PCR). The expression patterns were similar to sRNAs sequencing data. Transcripts of 1155 sequences were predicted as target genes of differentially expressed miRNAs by degradome sequencing. Gene Ontology (GO) enrichment showed that these target genes were involved in 24 biological processes, 15 cell components and nine molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis demonstrated that these target genes were significantly enriched in 19 pathways and the enriched KEGG pathways were associated with environmental adaptation, signal transduction and translation. Based on the functional prediction of miRNAs and target genes, our findings suggest that miRNAs have a potential regulatory role in cucumber fruit expansion by targeting their target genes, which provide important data for understanding the miRNA-mediated regulatory networks controlling fruit expansion in cucumber. Specific miRNAs could be selected for further functional research and molecular breeding in cucumber.

scholarly journals A combined microRNA and target protein-based panel for predicting the probability and severity of uraemic vascular calcification: a translational study

2020 ◽  
Author(s):  
Chia-Ter Chao ◽  
Hsiang-Yuan Yeh ◽  
You-Tien Tsai ◽  
Chih-Kang Chiang ◽  
Huei-Wen Chen
Keyword(s):  
Vascular Calcification ◽  
Target Genes ◽  
Ex Vivo ◽  
Target Protein ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Target Proteins ◽  
Differentially Expressed Mirnas

Abstract Aims  Vascular calcification (VC) increases the future risk of cardiovascular events in uraemic patients, but effective therapies are still unavailable. Accurate identification of those at risk of developing VC using pathogenesis-based biomarkers is of particular interest and may facilitate individualized risk stratification. We aimed to uncover microRNA (miRNA)-target protein-based biomarker panels for evaluating uraemic VC probability and severity. Methods and results  We created a three-tiered in vitro VC model and an in vivo uraemic rat model receiving high phosphate diet to mimic uraemic VC. RNAs from the three-tiered in vitro and in vivo uraemic VC models underwent miRNA and mRNA microarray, with results screened for differentially expressed miRNAs and their target genes as biomarkers. Findings were validated in original models and additionally in an ex vivo VC model and human cells, followed by functional assays of identified miRNAs and target proteins, and tests of sera from end-stage renal disease (ESRD) and non-dialysis-dependent chronic kidney disease (CKD) patients without and with VC. Totally 122 down-regulated and 119 up-regulated miRNAs during calcification progression were identified initially; further list narrowing based on miRNA–mRNA pairing, anti-correlation, and functional enrichment left 16 and 14 differentially expressed miRNAs and mRNAs. Levels of four miRNAs (miR-10b-5p, miR-195, miR-125b-2-3p, and miR-378a-3p) were shown to decrease throughout all models tested, while one mRNA (SULF1, a potential target of miR-378a-3p) exhibited the opposite trend concurrently. Among 96 ESRD (70.8% with VC) and 59 CKD patients (61% with VC), serum miR-125b2-3p and miR-378a-3p decreased with greater VC severity, while serum SULF1 levels increased. Adding serum miR-125b-2-3p, miR-378a-3p, and SULF1 into regression models for VC substantially improved performance compared to using clinical variables alone. Conclusion  Using a translational approach, we discovered a novel panel of biomarkers for gauging the probability/severity of uraemic VC based on miRNAs/target proteins, which improved the diagnostic accuracy.

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