干燥综合征合并特发性肺纤维化miRNA表达谱的变化及生物标志物的研究*

目的: 探究干燥综合征合并特发性肺纤维化患者血清中miRNA表达谱之间的差异关系。方法: 选择在云南省第一人民医院确诊为干燥综合征的3例患者作为对照组,平均年龄为(55.67±4.78) 岁,病程为(10.67±1.70)月;3例干燥综合征合并特发性肺纤维化患者作为观察组,平均年龄为(57.67±3.68) 岁,病程为(11.00±2.45) 月;6例患者均为女性。两组基本资料没有差异(P＞0.05)。利用芯片检测两组患者血清中miRNA表达谱的差异。通过GO富集分析,筛选出13个免疫细胞功能相关的聚类;表达差异明显的基因集中于免疫调节的信号通路。采用qRT-PCR验证其中5个表达有差异的miRNA。结果: 芯片检测结果共筛选出差异表达基因13个,其中6个miRNA上调:hsa-miR-6740-5p,hsa-miR-4507,hsa-miR-6775-5p,hsa-miR-4281,hsa-miR-4459,hsa-miR-6089,7个miRNA下调:hsa-miR-6873-3p,hsa-miR-4290,hsa-miR-6858-3p,hsa-miR-574-3p,hsa-miR-92b-3p,hsa-miR-3151-3p,hsa-miR-6886-3p。qRT-PCR结果验证了5个最明显的差异miRNA,结果和芯片趋势一致,差异显著,具有统计学意义。结论: 干燥综合征与干燥综合征合并特发性肺纤维化血清中miRNA表达存在差异,其中miR-6886-3p,miR-6873-3p,miR-574-3p,miR-6740-5p和miR-4507特异性和敏感度较高,可能作为干燥综合征特发性肺纤维化区别于原发性干燥综合征的生物标志物。     

hsa-miR-342-3p生物信息学分析

通过生物信息学方法预测hsa-miR-342-3p靶基因及其功能机制。检索Pub Med有关hsa-miR-342-3p的研究报道并进行功能分析;检索miRBase获取hsa-miR-342-3p序列;通过Target Scan,Pictar和PITA数据库预测靶基因并取交集,对其进行组织和疾病特异性表达谱分析、功能富集分析(GO enrichment analysis)、信号转导通路富集分析(Pathway enrichment analysis)和蛋白质相互作用网络分析(PPI analysis)。结果发现:hsa-miR-342-3p序列在多物种间具有高度保守性;hsa-miR-342-3p在肾脏组织和急性淋巴细胞性白血病、乳腺癌疾病中表达水平较高(RPM≥1 000);预测得到14个hsa-miR-342-3p靶基因;靶基因分子功能分别富集于转化生长因子活性、DNA结合和蛋白激酶激活等(P0.05);hsa-miR-342-3p靶基因GO生物学过程主要集中于大分子代谢抑制,肺部组织发育、呼吸系统发育及管状组织发育建成(P0.05);细胞信号通路主要富集于TGF-Beta信号通路、细胞因子、受体作用信号通路及前列腺疾病信号通路(P0.01)。hsa-miR-342-3p在体内分布广泛,预测的靶向TGF-Beta信号通路可能在疾病发生中发挥重要调控作用,是具有潜在研究价值的生物学靶标。     

Hsa_circ_0087354通过hsa-miR-199-3p/SLC7A11调节MG-63细胞增殖及氧化还原状态

环状RNA(circular RNAs, circRNAs)是一类新型非编码RNA。已有研究表明,其在细胞氧化还原反应中发挥重要作用。在本文前期研究中,发现通过real-time PCR检测,hsa_circ_0087354与细胞的氧化还原状态密切相关。过表达hsa_circ_0087354后,活性氧1(reactive oxygen species1,ROS1)基因表达显著下降(P＜0.01),超氧化物歧化酶1(surperoxide dismutase1,SOD1)表达显著升高(P＜0.05);细胞内SOD和谷胱甘肽过氧化物酶(glutathione peroxidase,GPx)活性以及谷胱甘肽(glutathione,GSH)浓度显著升高(P＜0.01),细胞增殖能力增强(P＜0.05)。生物信息学分析预测,hsa-miR-199-3p与hsa_circ_0087354和溶质载体家族7成员11(solute carrier family 7 member 11,SLC7A11)存在结合位点,可能存在靶向调控关系。双荧光素酶报告基因结果证实了hsa-miR-199-3p与hsa_circ_0087354和SLC7A11之间的靶向调控关系。构建过表达hsa_circ_0087354质粒和ctrl质粒,合成hsa-miR-199a-3p、hsa-miR-199b-3p 和hsa-miR-NC mimics。通过Real-time PCR分析发现,转染hsa_circ_0087354后,hsa-miR-199-3p表达显著降低(P＜0.01),SLC7A11表达显著升高(P＜0.05)。转染hsa-miR-199-3p后,SLC7A11基因表达显著下降(P＜0.001),细胞内SOD和GPx活性以及GSH浓度显著降低(P＜0.01),细胞增殖能力下降(P＜0.05)。研究结果表明,hsa_circ_0087354通过吸附hsa-miR-199-3p,增强SLC7A11表达,促进氧化应激MG-63细胞增殖,降低氧化应激水平。     

hsa-miR-192-3p的靶基因预测及功能分析

通过生物信息学方法预测hsa-miR-192-3p的靶基因及其靶基因的可能功能。首先通过miRbase在线数据库对hsamiR-192-3p的碱基序列及序列在各物种间的保守性进行分析,再通过miRGator v3. 0在线数据库查看hsa-miR-192-3p在各个组织器官中的表达丰富度情况;其次,应用Target Scan和miRanda在线数据库预测hsa-miR-192-3p的靶基因;最后,将预测得到的两个数据库的靶基因交集用DAVID在线数据库进行功能富集分析和信号转导通路富集分析。结果表明:hsa-miR-192-3p在人、家鼠、猕猴等生物中存在高度保守性; hsa-miR-192-3p在胃肠道、肾脏、肝胆系统、干细胞、鼻、脾、胸腺中表达丰富度较高;通过两个靶基因预测软件预测的靶基因取交集后共有190个;功能富集分析发现hsa-miR-192-3p靶基因富集在细胞质、细胞核、质膜、高尔基体等15个细胞组件(p0. 05),参与蛋白结合、GTP酶活性、锌离子跨膜转运蛋白活性等7个分子功能(p0. 05),涉及金属离子运输、RNA聚合酶II启动子的转录阳性调控、基因表达调节、钙离子跨膜运输、胚胎发育等18个生物过程(p0. 05);预测靶基因集合显著富集于癌症通路与催乳素信号通路中(p0. 05)。得出结论:hsa-miR-192-3p预测的靶基因集合富集于多个生物过程,与肿瘤密切相关,生物信息预测为今后的研究奠定了一定的理论基础,为后续实验验证提供了研究方向。     

影响BLM基因表达的miRNAs筛选及抑制效率研究

[目的]筛选调控BLM基因表达的miRNAs并研究其抑制效率。[方法]利用Target Scan Human 6.2、microRNA.org、PicTar以及miRsystem在线软件预测调控BLM基因表达的miRNAs;miRNA通过脂质体转染和特异茎环引物反转录、荧光定量PCR及Pfaffl算法检测miRNA对BLM基因表达的影响。[结果]初步筛选出hsa-miR-338-3p为调控BLM基因表达的miRNA;hsa-miR-338-3p抑制效率试验结果表明:当前列腺癌细胞(PC3)转染20μmol/L的hsamiR-338-3p minic时,实验组BLM表达量为对照组的0.44倍,抑制了BLM的表达(P0.01);转染40μmol/L的hsa-miR-338-3p minic时,实验组BLM的表达量为对照组的2.55倍,促进了BLM的表达(P0.01);转染60μmol/L的hsa-miR-338-3p minic时,实验组BLM的表达量为对照组的1.14倍,实验组与对照组差异不显著(P0.05)。[结论]转染20μmol/L、40μmol/L和60μmol/L的hsa-miR-338-3p minic时BLM基因的表达量分别是对照组的0.44倍、2.55倍和1.44倍,转染不同剂量的miRNA对BLM基因的表达情况具有不同的影响。     

hsa-miR-125a-5p通过上调Rock-1表达促进胃癌细胞侵袭

摘要：目的 探讨hsa-miR-125a-5p表达对胃癌细胞侵袭能力的影响及其作用机制。方法 在胃癌MKN45细胞株中瞬时转染hsa-miR-125a-5p-mimics使其表达明显上调,采用Transwell侵袭实验检测细胞的侵袭能力。然后,通过micRNA靶基因预测软件获得hsa-miR-125a-5p的潜在靶基因Rock-1,以抗体阻断及Western blot进行验证。结果 与对照组相比,经瞬时转染后hsa-miR-125a-5p在胃癌MKN45细胞株中表达明显增加;Western blot结果显示hsa-miR-125a-5p表达上调后Rock-1表达明显上调,Transwell实验结果表明MKN45细胞的侵袭能力明显增强（P<0.05）。而hsa-miR-125a-5p表达上调后阻断Rock-1表达,细胞的侵袭能力明显减弱（P<0.05）。结论 hsa-miR-125a-5p促进胃癌细胞的侵袭,其机制与Rock-1通路有关。     

5-Aza-CdR对膀胱癌细胞生长及hsa-miR-203表达的影响

许多研究表明,miRNAs在肿瘤中失活与特定的遗传和表观遗传机制改变有关,hsa-miR-203在膀胱癌组织和细胞中表达下调并扮演着抑癌基因的角色。为了验证hsa-miR-203在膀胱癌细胞中是否受DNA甲基化抑制,采用去甲基化抑制剂5-Aza-CdR(5-氮-2'-脱氧胞苷)处理5637和BIU-87膀胱癌细胞,MSP和RT-PCR检测表明,hsa-miR-203的启动子在5637和BIU-87细胞中存在完全的甲基化,而5-Aza-CdR能逆转hsa-miR-203启动子的甲基化状态,恢复hsa-miR-203的表达。MTT法测定显示,5-Aza-CdR使5637和BIU-87膀胱癌细胞增殖受到明显抑制,并呈时间和剂量依赖性。同时,流式细胞仪检测显示,5-Aza-CdR使5637和BIU-87膀胱癌细胞周期阻滞于G_0/G_1期。因此,5-Aza-CdR能抑制膀胱癌细胞5637和BIU-87增殖并干扰其细胞周期。hsa-miR-203启动子异常甲基化是其在膀胱癌细胞中低表达的重要机制,5-Aza-CdR能逆转hsa-miR-203基因的甲基化,恢复hsa-miR-203的表达,为hsa-miR-203作为膀...     

通过miRNA基因表达谱的基因共表达网络构建对星形细胞瘤的基因靶标进行预测

星形细胞瘤为浸润性生长肿瘤,生长缓慢,多为隐形症状,难以早期发现。多数肿瘤切除后有复发可能,且复发后肿瘤可演变成间变性星形细胞瘤或多形性胶质母细胞瘤。因此寻找其生物标志物早期诊断,并研究新的治疗方法就十分重要。方法:通过选用GEO数据库的星形细胞瘤miRNA表达谱数据,进行差异分析以及靶基因预测,通过2者共表达网络的构建对筛选出的miRNA的研究价值进行探讨。结果:得出hsa-miR-29b-2-5p;hsa-miR-339-5p与hsa-miR-362-3p3个较为关键的miRNA及与3者关系密切的8个mRNA。结论:通过对8个mRNA在癌症中的作用的讨论,肯定了这3个关键miRNA作为潜在靶点的研究价值。     

Mirtron类microRNA6894-5p过表达促进胃癌细胞的迁移、侵袭和增殖

该文主要探讨Mirtron类micro RNA6894-5p过表达对胃癌细胞迁移、侵袭和增殖的影响。将miRNA6894-5p的模拟物分别转染进入胃癌MGC803和SGC7901细胞中,构建miRNA6894-5p过表达的细胞系;实时荧光定量PCR测miRNA6894-5p的RNA表达;Transwell实验检测细胞迁移侵袭能力;Cell Counting Kit 8实验检测细胞的增殖能力;荧光素酶报告基因实验检测miRNA6894-5p与肝配蛋白A3的靶向关系;实时荧光定量PCR和蛋白质印迹法进一步检测miRNA6894-5p过表达后EFNA3的m RNA和蛋白的变化。结果显示,成功构建miRNA6894-5p过表达模型的胃癌细胞系;与相应阴性对照组相比,过表达miRNA6894-5p可提高细胞迁移侵袭能力(P0.05)和增强细胞增殖能力(P0.05);荧光素酶报告基因实验证实,miRNA6894-5p靶向作用于肝配蛋白A3,过表达miRNA6894-5p后肝配蛋白A3的m RNA及蛋白水平显著下降(P0.05)。该研究结果显示,Mirtron类miRNA6894-5p在人胃癌细胞中过表达可促进胃癌细胞的迁移、侵袭和增殖。     

Principal Component Analysis Based Feature Extraction Approach to Identify Circulating microRNA Biomarkers

The discovery and characterization of blood-based disease biomarkers are clinically important because blood collection is easy and involves relatively little stress for the patient. However, blood generally reflects not only targeted diseases, but also the whole body status of patients. Thus, the selection of biomarkers may be difficult. In this study, we considered miRNAs as biomarker candidates for several reasons. First, since miRNAs were discovered relatively recently, they have not yet been tested extensively. Second, since the number of miRNAs is relatively limited, selection is expected to be easy. Third, since they are known to play critical roles in a wide range of biological processes, their expression may be disease specific. We applied a newly proposed method to select combinations of miRNAs that discriminate between healthy controls and each of 14 diseases that include 5 cancers. A new feature selection method is based on principal component analysis. Namely this method does not require knowledge of whether each sample was derived from a disease patient or a healthy control. Using this method, we found that hsa-miR-425, hsa-miR-15b, hsa-miR-185, hsa-miR-92a, hsa-miR-140-3p, hsa-miR-320a, hsa-miR-486-5p, hsa-miR-16, hsa-miR-191, hsa-miR-106b, hsa-miR-19b, and hsa-miR-30d were potential biomarkers; combinations of 10 of these miRNAs allowed us to discriminate each disease included in this study from healthy controls. These 12 miRNAs are significantly up- or downregulated in most cancers and other diseases, albeit in a cancer- or disease-specific combinatory manner. Therefore, these 12 miRNAs were also previously reported to be cancer- and disease-related miRNAs. Many disease-specific KEGG pathways were also significantly enriched by target genes of up−/downregulated miRNAs within several combinations of 10 miRNAs among these 12 miRNAs. We also selected miRNAs that could discriminate one disease from another or from healthy controls. These miRNAs were found to be largely overlapped with miRNAs that discriminate each disease from healthy controls.     

Genome-wide microRNA screening reveals miR-582-5p as a mesenchymal stem cell-specific microRNA in subchondral bone of the human knee joint

Emerging evidence suggests that microRNAs (miRNAs) may be pathologically involved in osteoarthritis (OA). Subchondral bone (SCB) sclerosis is accounted for the knee osteoarthritis (KOA) development and progression. In this study, we aimed to screen the miRNA biomarkers of KOA and investigated whether these miRNAs regulate the differentiation potential of mesenchymal stem cells (MSCs) and thus contributing to SCB. We identified 48 miRNAs in the blood samples in KOA patients (n = 5) through microarray expression profiling detection. After validation with larger sample number, we confirmed hsa-miR-582-5p and hsa-miR-424-5p were associated with the pathology of SCB sclerosis. Target genes prediction and pathway analysis were implemented with online databases, indicating these two candidate miRNAs were closely related to the pathways of pluripotency of stem cells and pathology of OA. Surprisingly, mmu-miR-582-5p (homology of hsa-miR-582-5p) was downregulated in osteogenic differentiation and upregulated in adipogenic differentiation of mesenchymal progenitor C3H10T1/2 cells, whereas mmu-mir-322-5p (homology of hsa-miR-424-5p) showed no change through the in vitro study. Supplementing mmu-miR-582-5p mimics blocked osteogenic and induced adipogenic differentiation of C3H10T1/2 cells, whereas silencing of the endogenous mmu-miR-582-5p enhanced osteogenic and repressed adipogenic differentiation. Further mechanism studies showed that mmu-miR-582-5p was directly targeted to Runx2. Mutation of putative mmu-miR-582-5p binding sites in Runx2 3′ untranslated region (3′UTR) could abolish the response of the 3′UTR-luciferase construct to mmu-miR-582-5p supplementation. Generally speaking, our data suggest that miR-582-5p is an important biomarker of KOA and is able to regulate osteogenic and adipogenic differentiation of MSCs via targeting Runx2. The study also suggests that miR-582-5p may play a crucial role in SCB sclerosis of human KOA.     

Expression Analyses of MicroRNAs in Hamster Lung Tissues Infected by SARS-CoV-2

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an infectious disease with multiple severe symptoms, such as fever over 37.5°C, cough, dyspnea, and pneumonia. In our research, microRNAs (miRNAs) binding to the genome sequences of severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory-related coronavirus (MERS-CoV), and SARS-CoV-2 were identified by bioinformatic tools. Five miRNAs (hsa-miR-15a-5p, hsa-miR-15b-5p, hsa-miR-195-5p, hsa-miR-16-5p, and hsa-miR-196a-1-3p) were found to commonly bind to SARS-CoV, MERS-CoV, and SARS-CoV-2. We also identified miRNAs that bind to receptor proteins, such as ACE2, ADAM17, and TMPRSS2, which are important for understanding the infection mechanism of SARS-CoV-2. The expression patterns of those miRNAs were examined in hamster lung samples infected by SARS-CoV-2. Five miRNAs (hsa-miR-15b-5p, hsa-miR-195-5p, hsa-miR-221-3p, hsa-miR-140-3p, and hsa-miR-422a) showed differential expression patterns in lung tissues before and after infection. Especially, hsa-miR-15b-5p and hsa-miR-195-5p showed a large difference in expression, indicating that they may potentially be diagnostic biomarkers for SARS-CoV-2 infection.     

A Ten-MicroRNA Signature Identified from a Genome-Wide MicroRNA Expression Profiling in Human Epithelial Ovarian Cancer

Epithelial ovarian cancer (EOC) is the most common gynecologic malignancy. To identify the micro-ribonucleic acids (miRNAs) expression profile in EOC tissues that may serve as a novel diagnostic biomarker for EOC detection, the expression of 1722 miRNAs from 15 normal ovarian tissue samples and 48 ovarian cancer samples was profiled by using a quantitative real-time polymerase chain reaction (qRT-PCR) assay. A ten-microRNA signature (hsa-miR-1271-5p, hsa-miR-574-3p, hsa-miR-182-5p, hsa-miR-183-5p, hsa-miR-96-5p, hsa-miR-15b-5p, hsa-miR-182-3p, hsa-miR-141-5p, hsa-miR-130b-5p, and hsa-miR-135b-3p) was identified to be able to distinguish human ovarian cancer tissues from normal tissues with 97% sensitivity and 92% specificity. Two miRNA clusters of miR183-96-183 (miR-96-5p, and miR-182, miR183) and miR200 (miR-141-5p, miR200a, b, c and miR429) are significantly up-regulated in ovarian cancer tissue samples compared to those of normal tissue samples, suggesting theses miRNAs may be involved in ovarian cancer development.     

Altered plasma exosome miRNAs and novel potential biomarkers in pediatric fulminant myocarditis

Previous studies have indicated that exosome-mediated intercellular microRNAs (miRNA) can influence fulminant myocarditis (FM) pathogenesis between immune and cardiac cells. This study explored plasma exosome miRNA profile in pediatric FM using a small RNA microarray. As per our analysis, we observed the differential expression of 266 miRNAs, including 197 upregulated and 69 downregulated candidate genes. Differentially expressed mRNAs in pediatric FM patients' peripheral blood mononuclear cells (PBMCs) were intersected with miRNA target genes predicting tools to screen for FM-specific target genes. The hub genes and their biological and mechanistic pathways related to inflammation and/or the immune system were identified. CeRNA networks of lncRNAs, circRNAs, miRNAs, and mRNAs between cardiomyocytes and PBMCs were finally established. Furthermore, we verified that hsa-miR-146a-5p, hsa-miR-23a-3p, and hsa-miR-27a-3p had higher expression levels in exosomes of pediatric FM patients by qRT-PCR, and hsa-miR-146a-5p shown high sensitivities and specificities for FM diagnosis. Overall, the results demonstrate that the exosome miRNAs play a regulatory role between immune and cardiac cells and provide research targets.     

Dynamic expression of viral and cellular microRNAs in infectious mononucleosis caused by primary Epstein-Barr virus infection in children

Background

Epstein-Barr virus (EBV) was the first virus identified to encode microRNAs (miRNAs). Both of viral and human cellular miRNAs are important in EBV infection. However, the dynamic expression profile of miRNAs during primary EBV infection was unknown. This study aimed to investigate the dynamic expression profile of viral and cellular miRNAs in infectious mononucleosis (IM) caused by primary EBV infection.

Methods

The levels of viral and cellular miRNAs were measured in fifteen pediatric IM patients at three different time-points. Fifteen healthy children who were seropositive for EBV were enrolled in the control group. Relative expression levels of miRNAs were detected by quantitative real-time PCR (qPCR) assay.

Results

EBV-miR-BHRF1-1, 1-2-3P, miR-BART13-1, 19-3p, 11-3P, 12–1, and 16–1 in IM patients of early phase were significantly higher than in healthy children. Most cellular miRNAs of B cells, such as hsa-miR-155-5p, ?34a-5p, ?18b-5p, ?181a-5p, and ?142-5p were up-regulated; while most of cellular miRNAs of CD8?+?T cells, such as hsa-miR-223, ?29c-3p, ?181a, ?200a-3p, miR-155-5p, ?146a, and ?142-5p were down-regulated in IM patients. With disease progression, nearly all of EBV-miRNAs decreased, especially miR-BHRF1, but at a slower rate than EBV DNA loads. Most of the cellular miRNAs of B cells, including hsa-miR-134-5p, ?18b-5p, ?34a-5p, and -196a-5p increased with time. However, most of the cellular miRNAs of CD8?+?T cells, including hsa-let-7a-5p, ?142-3p, ?142-5p, and ?155-5p decreased with time. Additionally, hsa-miR-155-5p of B cells and hsa-miR-18b-5p of CD8+ T cells exhibited a positive correlation with miR-BHRF1-2-5P and miR-BART2-5P (0.96?≤?r?≤?0.99, P?<?0.05). Finally, hsa-miR-181a-5p of B cells had positive correlation with miR-BART4-3p, 4-5P, 16–1, and 22 (0.97?≤?r?≤?0.99, P?<?0.05).

Conclusions

Our study is the first to describe the expression profile of viral and cellular miRNAs in IM caused by primary EBV infection. These results might be the basis of investigating the pathogenic mechanism of EBV-related diseases and bring new insights into their diagnosis and treatment.