OBJECTIVE: To study the expression profiles changes of miRNA in apheresis platelets after 1, 3 and 5 days of storage. METHODS: The apheresis platelets were collected from 20 volunteer blood donors. After mixing fully, the platelets were stored in a shaker with (22±2) ℃ horizontal oscillation. The samples were taken on the 1st, 3rd and 5th day, and used to sequence for miRNAs by DNA nanoball (DNB) sequencing technology, which were named as C_1, C_3 and C_5, respectively. The expression level of platelets miRNA was standardized by transcripts per kilobase million (TPM) algorithm. MiRNAs with P-value < 0.001 and the expression difference of more than two times were considered as significant difference between two groups. The expression of miRNAs was verified by real-time fluorescence quantitative PCR (RT-qPCR). RESULTS: By DNB sequencing, there were 688, 730, and 679 platelet miRNAs expressed in C_1, C_3 and C_5 group, respectively. Cluster analysis showed that the expression profile of miRNAs changed significantly. The expression level of the first 20 high abundance miRNAs was about 4/5 of the total amounts of expressed miRNAs in each group, which the top five miRNAs were miR-21-5p, miR-26a-5p, miR-199a-3p, miR-126-3p, and let-7f-5p. The correlation of high abundance platelet miRNAs among the three groups was high (R2=0.876, R2=0.979, R2=0.937, respectively) and the differences were not statistically significant (P>0.05). Compared with the differential expression of platelet miRNAs with more than 1 000 TPM in the C_3 and C_1 group, there were 6 differentially expressed miRNAs, including 3 up-regulated (miR-146a-5p, miR-379-5p, and miR-486-5p) and 3 down-regulated (miR-652-3p, miR-142-5p, and miR-7-5p). While in the C_5 and C_1 group, there were 4 differentially expressed miRNAs, including 2 up-regulated (miR-146a-5p and let-7b-5p) and 2 down-regulated (miR-30d-5p and miR-142-5p). Compared with the differentially expression of platelet miRNAs between 1-1 000 TPM in the C_3 and C_1 group, there were 133 differentially expressed miRNAs, in which 99 were up-regulated and 34 were down-regulated. While in the C_5 and C_1 group, there were 77 differentially expressed miRNAs, in which 31 were up-regulated and 46 were down-regulated. The six selected differentially expressed miRNAs verified by RT-qPCR were consistent with those of sequencing. CONCLUSION The expression profiles of platelets miRNAs change significantly among 1, 3, and 5 d of storage in vitro.
Blood Component Removal ; Blood Platelets ; Cluster Analysis ; Gene Expression Profiling ; Humans ; MicroRNAs/genetics*

In the present study we investigated the changes in miRNA levels inhuman rhinovirus 16 (HRV16)-infected cells. A small RNA deep sequencing experiment was performed through next-generation sequencing. In total, 53 differentially expressed miRNAs were confirmed by RT-qPCR, including 37 known miRNAs and 16 novel miRNAs. Interaction networks between differentially expressed miRNAs and their targets were established by mirDIP and Navigator. The prediction results showed that QKI, NFAT5, BNC2, CELF2, LCOR, MBNL2, MTMR3, NFIB, PPARGC1A, RSBN1, TRPS1, WDR26, and ZNF148, which are associated with cellular differentiation and transcriptional regulation, were recognized by 12, 11, or 9 miRNAs. Many correlations were observed between transcriptional or post-transcriptional regulation of an miRNA and the expression levels of its target genes in HRV16-infected H1-HeLa cells.
CELF Proteins/metabolism* ; DNA-Binding Proteins/genetics* ; Gene Expression Profiling ; Gene Expression Regulation ; HeLa Cells ; High-Throughput Nucleotide Sequencing ; Humans ; MicroRNAs/metabolism* ; Nerve Tissue Proteins/genetics* ; Protein Tyrosine Phosphatases, Non-Receptor ; Repressor Proteins/metabolism* ; Sequence Analysis, RNA ; Transcription Factors/metabolism*

OBJECTIVES: To establish a system for simultaneous detection of miR-888 and miR-891a by droplet digital PCR (ddPCR), and to evaluate its application value in semen identification. METHODS: The hydrolysis probes with different fluorescence modified reporter groups were designed to realize the detection of miR-888 and miR-891a by duplex ddPCR. A total of 75 samples of 5 body fluids (including peripheral blood, menstrual blood, semen, saliva and vaginal secretion) were detected. The difference analysis was conducted by Mann-Whitney U test. The semen differentiation ability of miR-888 and miR-891a was evaluated by ROC curve analysis and the optimal cut-off value was obtained. RESULTS: There was no significant difference between the dual-plex assay and the single assay in this system. The detection sensitivity was up to 0.1 ng total RNA, and the intra- and inter-batch coefficients of variation were less than 15%. The expression levels of miR-888 and miR-891a detected by duplex ddPCR in semen were both higher than those in other body fluids. ROC curve analysis showed that the AUC of miR-888 was 0.976, the optimal cut-off value was 2.250 copies/μL, and the discrimination accuracy was 97.33%; the AUC of miR-891a was 1.000, the optimal cut-off value was 1.100 copies/μL, and the discrimination accuracy was 100%. CONCLUSIONS In this study, a method for detection of miR-888 and miR-891a by duplex ddPCR was successfully established. The system has good stability and repeatability and can be used for semen identification. Both miR-888 and miR-891a have high ability to identify semen, and the discrimination accuracy of miR-891a is higher.
Female ; Humans ; Body Fluids/chemistry* ; MicroRNAs/analysis* ; Real-Time Polymerase Chain Reaction/methods* ; Saliva/chemistry* ; Semen/chemistry* ; Male

OBJECTIVE: To identify differentiation related miRNA and evaluate roles of miRNA during ATRA induced myeloid differentiation. METHODS: The small RNA sequencing was used to analyze differential expressed miRNAs in ATRA induced NB4 cells. Then the several up or down-regulated miRNA were selected as the research candidates. SgRNAs targeting the genome of each miRNA were designed and NB4 cells with inducible expression of Cas9 protein were generated. After transduced sgRNA into NB4/Cas9 cells, the mutation level by PCR and surveyor assay were evaluated. The cell differentiation level was investigated by surface CD11b expression via flow cytometry. RESULTS: A total of 410 mature miRNAs which expressed in NB4 cells were detected out after treated by ATRA, 74 miRNAs were up-regulated and 55 were down-regulated miRNAs with DNA cleavage generated by CRISPR/Cas9 was assayed directly by PCR or surveyor assay, quantitative PCR showed that the expression of miRNA was downregulated, which evaluated that gene edition successfully inhibitied the expression of mature miRNA. MiR-223 knockout showed the myeloid differentation of NB4 significantly inhibitied, while miRNA-155 knockout showed the myeloid differentation of NB4 cells significantly increased. CONCLUSION CRISPR/Cas9 is a powerful tool for gene editing and can lead to miRNA knockout. Knockouts of miR-223 and miR-155 have shown a differentiation-related phenotype, and the potential mechanism is the integrative regulation of target genes.
CRISPR-Cas Systems ; Cell Differentiation ; Gene Editing ; MicroRNAs/genetics* ; Sequence Analysis, RNA ; Tretinoin

OBJECTIVE: To investigate the difference expression of circular RNA (circRNA) in acute myeloid leukemia (AML) by using bioinformatics method. METHODS: The microarray chip data of AML was searched and downloaded from the Gene Expression Omnibus (GEO) of the National Center for Bioinformatics (NCBI). The differences between AML samples and control samples were analyzed by R software. The interaction between deregulated circRNA, miRNA and mRNA were predicted by miranda software and miRTarBase software. The circRNA-miRNA-mRNA regulatory network was constructed by using the cytoHubba plugin based on the Cytoscape software. RESULTS: A total of 203 differential expression of circRNAs were finally collected, including down-regulated 161 circRNAs and up-regulated 42 circRNAs. CircRNA/miRNA/mRNA interaction network was constructed through software prediction. hsa_circ_0001080, hsa_circ_0004511, hsa_circ_0054211, hsa_circ_0001944 may be positively regulated the gene expression in AML. CONCLUSION Abnormal expression of circRNA in AML may become a new target for AML treatment.
Gene Expression ; Humans ; Leukemia, Myeloid, Acute/genetics* ; MicroRNAs/genetics* ; Oligonucleotide Array Sequence Analysis ; RNA, Circular

OBJECTIVES: To provide clues for further study of the relationship between miRNAs and Kawasaki disease (KD) development, and to provide molecular markers for ultimately improve the rate of early diagnosis for KD. METHODS: We collected acute, recovery KD children's plasma and normal samples, then used the miRNAs Assay Chip to screen the differentially expressed miRNAs in the plasma from KD children. Subsequently, miR-455-5p, which had identified via miRNAs assay chip, was validated by quantitative real-time PCR via independent cohort. RESULTS: According to the results of miRNAs Assay chip, we identified a miRNAs panel including 5 miRNAs significantly up-regulated and 5 miRNAs remarkably down-regulated in the plasma from KD children compared to the normal control; miR-455-5p in both of acute and recovery KD children's plasma was remarkably lower than that in the normal control (<0.001, =0.013, respectively), and miR-455-5p was also significantly lower than that in the recovery of KD children (=0.007) by independent cohort validation. CONCLUSIONS There are significantly differentially expressed circulating miRNAs between the KD children and normal control. We identified 10 miRNAs dysregulation in the KD children's plasma compared with the normal group. Circulating miR-455-5p in both of acute and recovery KD children's plasma is remarkably lower than that in the normal control, and miR-455-5p may considered as a marker to show the recovery process of KD children. Plasma specific circulating miRNAs play an important role in the early diagnosis of KD and become the new molecular marker of KD in the future.
Biomarkers ; Child ; Humans ; MicroRNAs ; genetics ; Mucocutaneous Lymph Node Syndrome ; genetics ; Oligonucleotide Array Sequence Analysis ; Real-Time Polymerase Chain Reaction

Objective To construct a discriminant analysis model based on the differential expression of multiple microRNAs （miRNAs） in two kinds of blood samples （peripheral blood and menstrual blood） and three non-blood samples （saliva, semen and vaginal secretion）, to form an identification solution for peripheral blood and menstrual blood. Methods Six kinds of miRNA （miR-451a, miR-144-3p, miR-144-5p, miR-214-3p, miR-203-3p and miR-205-5p） were selected from literature, the samples of five kinds of body fluids commonly seen in forensic practice （peripheral blood, menstrual blood, saliva, semen, vaginal secretion） were collected, then the samples were divided into training set and testing set and detected by SYBR Green real-time qPCR. A discriminant analysis model was set up based on the expression data of training set and the expression data of testing set was used to examine the accuracy of the model. Results A discriminant analysis statistical model that could distinguish blood samples from non-blood samples and distinguish peripheral blood samples from menstrual blood samples at the same time was successfully constructed. The identification accuracy of the model was over 99%. Conclusion This study provides a scientific and accurate identification strategy for forensic fluid identification of peripheral blood and menstrual blood samples and could be used in forensic practice.
Body Fluids ; Discriminant Analysis ; Female ; Forensic Genetics ; MicroRNAs/genetics* ; Semen

Many studies have shown that microRNAs (miRNAs) play vital roles during the spermatogenesis. However, little is known about the altered miRNA profiles of testicular tissues in nonobstructive azoospermia (NOA). Using microarray technology, the miRNA expression profiles of testicular biopsies from patients with NOA and of normal testicular tissues were determined. Bioinformatics analyses were conducted to predict the enriched biological processes and functions of identified miRNAs. The microarray data were validated by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), the results of which were then validated with a larger sample size. Correlations between the miRNA expression levels and clinical characteristics were analyzed. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic ability of miRNAs for azoospermia. Hierarchical clustering showed that 129 miRNAs were significantly differentially expressed between the NOA and control groups. Bioinformatics analysis indicated that the differentially expressed miRNAs were involved in spermatogenesis, cell cycle, and mitotic prometaphase. In the subsequent qRT-PCR assays, the selected miRNA expression levels were consistent with the microarray results, and similar validated results were obtained with a larger sample size. Some clinical characteristics were significantly associated with the expression of certain miRNAs. In particular, we identified a combination of two miRNAs (miR-10b-3p and miR-34b-5p) that could serve as a predictive biomarker of azoospermia. This study provides altered miRNA profiles of testicular biopsies from NOA patients and examines the roles of miRNAs in spermatogenesis. These profiles may be useful for predicting and diagnosing the presence of testicular sperm in individuals with azoospermia.
Adult ; Azoospermia/genetics* ; Biopsy ; Cluster Analysis ; Computational Biology ; Follicle Stimulating Hormone/metabolism* ; Gene Expression Profiling ; Humans ; Luteinizing Hormone/metabolism* ; Male ; MicroRNAs/metabolism* ; Reverse Transcriptase Polymerase Chain Reaction ; Spermatogenesis/genetics* ; Testis/metabolism* ; Testosterone/metabolism* ; Tissue Array Analysis

BACKGROUND/AIMS: To evaluate and select microRNAs relevant to acute myeloid leukemia (AML) pathogenesis, we analyzed differential microRNA expression by quantitative small RNA next-generation sequencing using duplicate marrow samples from individual AML patients. METHODS: For this study, we obtained paired marrow samples at two different time points (initial diagnosis and first complete remission status) in patients with AML. Bone marrow microRNAs were profiled by next-generation small RNA sequencing. Quantification of microRNA expression was performed by counting aligned reads to microRNA genes. RESULTS: Among 38 samples (32 paired samples from 16 AML patients and 6 normal marrow controls), 27 were eligible for sequencing. Small RNA sequencing showed that 12 microRNAs were selectively expressed at higher levels in AML patients than in normal controls. Among these 12 microRNAs, mir-181, mir-221, and mir-3154 were more highly expressed at initial AML diagnosis as compared to first complete remission. Significant correlations were found between higher expression levels of mir-221, mir-146, and mir-155 and higher marrow blast counts. CONCLUSIONS: Our results demonstrate that mir-221 and mir-181 are selectively enriched in AML marrow and reflect disease activity. mir-3154 is a novel microRNA that is relevant to AML but needs further validation.
Bone Marrow ; Diagnosis ; Humans ; Leukemia, Myeloid, Acute* ; MicroRNAs* ; RNA* ; Sequence Analysis, RNA*

OBJECTIVE: To evaluate the role of miR-106b-5p in the regulation of gene expression in endothelial cells. METHODS: The Taqman low-density microRNAs (miRNAs) array (TLDA) was used to identify miRNA expression profiles in the plasma of patients with atherosclerotic coronary artery disease (CAD) (atherosclerosis group, n=9) and individuals without atherosclerotic CAD disease (control group, n=9). A weighed and undirected miRNA coexpression network analysis was performed to investigate the interactions among miRNAs in the two groups. MiR-106b-5p, whose coexpression pattern in atherosclerosis group was most different from that of control group, was further studied. Human umbilical vein endothelial cells (HUVEC) were transfected with miR-106b-5p mimic or negative control mimic, and Affymetrix GeneChip Human Transcriptome Array 2.0 was used to screen the differential gene expression profiles after transfection. And the signal transduction pathway of differential gene profiles was further analyzed in Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway database. After parsing the whole KEGG database, all differentially expressed genes involved pathways were extracted, and the hypergeometric distribution was used to calculate the pathway enrichment. RESULTS: The coexpression pattern of the patients with atherosclerosis (140 nodes, 1 154 edges) differed from that of the non-atherosclerosis control group (140 nodes, 612 edges). The analysis of array data with significant analysis of microarray (SAM) identified 746 significantly deregulated genes (fold change ≥ 1.5 and false discovery rate < 0.01) altered by overexpression of miR-106b-5p with miR-106b-5p mimic in HUVEC. By calculating the pathway enrichment, we found that multiple signaling pathways enriched in differential gene profiles were closely related to the process of formation and rupture of atherosclerotic plaque, including phosphatidylinositol-3 kinase (PI3K)/ protein kinase B (PKB, also called Akt), mammalian target of rapamycin (mTOR), transforming growth factor-β (TGF-β), janus kinase / signal transducer and activator of transcription (Jak-STAT), tumor necrosis factor (TNF), toll like receptor (TLR) and hypoxia-inducible factor 1α (HIF-1α) and other signal pathways. CONCLUSION The coexpression pattern of miRNAs in plasma of patients with atherosclerosis is more significantly changed than that of individuals without atherosclerotic disease. MiR-106b-5p, which shows the most significant difference between groups, targets multiple signal pathways in vascular endothelial cells, and might play an important role in the regulatory network of atherosclerotic gene expression.
Human Umbilical Vein Endothelial Cells ; Humans ; MicroRNAs/genetics* ; Oligonucleotide Array Sequence Analysis ; Proto-Oncogene Proteins c-akt ; Signal Transduction