• Title/Summary/Keyword: MiRNA

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Expression of MicroRNA-221 in Korean Patients with Multiple Myeloma (한국인의 다발성골수종 환자에서 MicroRNA-221의 발현)

  • Choi, Woo-Soon
    • Korean Journal of Clinical Laboratory Science
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    • v.50 no.2
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    • pp.197-204
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    • 2018
  • Multiple myeloma (MM) is the leading cause of death among hematologic neoplasms. Recently, microRNA has been reported to be useful in the diagnosis of multiple myeloma. This study examined whether miR-221 could be used as a diagnostic marker for multiple myeloma. The study was performed on 20 patients with multiple myeloma without any other hematological diseases. MicroRNA extraction was performed using formalin-fixed paraffin-embedded (FFPE) tissues obtained from the bone marrow of patients with multiple myeloma. miR-15a, miR-16, miR-21, miR-181a, and miR-221 were selected as the microRNA target genes for multiple myeloma. The significance of microRNA was based on a fold change of <1.5. To quantify the fold changes, data normalized to the human gene, SNORD43, were used as the values of the patient group. Fold change values greater than 1.5 were defined as "overexpression", whereas values less than -1.5 were defined as "underexpression". Of note, 65.0% (13/20) of samples showed significant "overexpression" in the levels of miR-221 expression and plasma cells with a group of more and less than 30% in MM patients did not show any significance of plasma cell (P<0.05). The results of other studies showing a correlation between the expression of miR-221 and MM in Caucasians were confirmed. These results suggest that miR-221 may be a useful indicator for diagnosing patients with MM. In conclusion, miR-221 is useful in the diagnosis and determining the prognosis of multiple myeloma in Koreans.

Characterization of the MicroRNA Expression Profile of Cervical Squamous Cell Carcinoma Metastases

  • Ding, Hui;Wu, Yi-Lin;Wang, Ying-Xia;Zhu, Fu-Fan
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.4
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    • pp.1675-1679
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    • 2014
  • Objectives: MicroRNAs (miRNAs) are important regulators of many physiological and pathological processes, including tumorigenesis and metastasis. In this study, we sought to determine the underlying molecular mechanisms of metastatic cervical carcinoma by performing miRNA profiling. Methods: Tissue samples were collected from ten cervical squamous cancer patients who underwent hysterectomy and pelvic lymph node (PLN) dissection in our hospital, including four PLN-positive (metastatic) cases and six PLN-negative (non-metastatic) cases. A miRNA microarray platform with 1223 probes was used to determine the miRNA expression profiles of these two tissue types and case groups. MiRNAs having at least 4-fold differential expression between PLN-positive and PLN-negative cervical cancer tissues were bioinformatically analyzed for target gene prediction. MiRNAs with tumor-associated target genes were validated by quantitative reverse transcription-polymerase chain reaction (RT-PCR). Results: Thirty-nine miRNAs were differentially expressed (>4-fold) between the PLN-positive and PLN-negative groups, of which, 22 were up-regulated and 17 were down-regulated. Sixty-nine percent of the miRNAs (27/39) had tumor-associated target genes, and the expression levels of six of those (miR-126, miR-96, miR-144, miR-657, miR-490-5p, and miR-323-3p) were confirmed by quantitative (q)RT-PCR. Conclusions: Six MiRNAs with predicted tumor-associated target genes encoding proteins that are known to be involved in cell adhesion, cytoskeletal remodeling, cell proliferation, cell migration, and apoptosis were identified. These findings suggest that a panel of miRNAs may regulate multiple and various steps of the metastasis cascade by targeting metastasis-associated genes. Since these six miRNAs are predicted to target tumor-associated genes, it is likely that they contribute to the metastatic potential of cervical cancer and may aid in prognosis or molecular therapy.

Roles of MicroRNA-21 and MicroRNA-29a in Regulating Cell Adhesion Related Genes in Bone Metastasis Secondary to Prostate Cancer

  • Mohamad, Maisarah;Wahab, Norhazlina Abdul;Yunus, Rosna;Murad, Nor AzianAbdul;Zainuddin, Zulkifli Md;Sundaram, Murali;Mokhtar, Norfilza Mohd
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.7
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    • pp.3437-3445
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    • 2016
  • Background: There is an increasing concern in the role of microRNA (miRNA) in the pathogenesis of bone metastasis (BM) secondary to prostate cancer (CaP). In this exploratory study, we hypothesized that the expression of vinculin (VCL) and chemokine X3C ligand 1 (CX3CL1) might be down-regulated in clinical samples, most likely due to the post-transcriptional modification by microRNAs. Targeted genes would be up-regulated upon transfection of the bone metastatic prostate cancer cell line, PC3, with specific microRNA inhibitors. Materials and Methods: MicroRNA software predicted that miR-21 targets VCL while miR-29a targets CX3CL1. Twenty benign prostatic hyperplasia (BPH) and 16 high grade CaP formalin-fixed paraffin embedded (FFPE) specimens were analysed. From the bone scan results, high grade CaP samples were further classified into CaP with no BM and CaP with BM. Transient transfection with respective microRNA inhibitors was done in both RWPE-1 (normal) and PC3 cell lines. QPCR was performed in all FFPE samples and transfected cell lines to measure VCL and CX3CL1 levels. Results: QPCR confirmed that VCL messenger RNA (mRNA) was significantly down-regulated while CX3CL1 was up-regulated in all FFPE specimens. Transient transfection with microRNA inhibitors in PC3 cells followed by qPCR of the targeted genes showed that VCL mRNA was significantly upregulated while CX3CL1 mRNA was significantly down-regulated compared to the RWPE-1 case. Conclusions: The down-regulation of VCL in FFPE specimens is most likely regulated by miR-21 based on the in vitro evidence but the exact mechanism of how miR-21 can regulate VCL is unclear. Up-regulated in CaP, CX3CL1 was found not regulated by miR-29a. More microRNA screening is required to understand the regulation of this chemokine in CaP with bone metastasis. Understanding miRNA-mRNA interactions may provide additional knowledge for individualized study of cancers.

Regulation of Pharmacogene Expression by microRNA in The Cancer Genome Atlas (TCGA) Research Network

  • Han, Nayoung;Song, Yun-Kyoung;Burckart, Gilbert J.;Ji, Eunhee;Kim, In-Wha;Oh, Jung Mi
    • Biomolecules & Therapeutics
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    • v.25 no.5
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    • pp.482-489
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    • 2017
  • Individual differences in drug responses are associated with genetic and epigenetic variability of pharmacogene expression. We aimed to identify the relevant miRNAs which regulate pharmacogenes associated with drug responses. The miRNA and mRNA expression profiles derived from data for normal and solid tumor tissues in The Cancer Genome Atlas (TCGA) Research Network. Predicted miRNAs targeted to pharmacogenes were identified using publicly available databases. A total of 95 pharmacogenes were selected from cholangiocarcinoma and colon adenocarcinoma, as well as kidney renal clear cell, liver hepatocellular, and lung squamous cell carcinomas. Through the integration analyses of miRNA and mRNA, 35 miRNAs were found to negatively correlate with mRNA expression levels of 16 pharmacogenes in normal bile duct, liver, colon, and lung tissues (p<0.05). Additionally, 36 miRNAs were related to differential expression of 32 pharmacogene mRNAs in those normal and tumorigenic tissues (p<0.05). These results indicate that changes in expression levels of miRNAs targeted to pharmacogenes in normal and tumor tissues may play a role in determining individual variations in drug response.

MicroRNA Profile in the Helicobacter pylori-infected Gastric Epithelial Cells (Helicobacter pylori 감염 위상피세포에서 MicroRNA 발현 변화)

  • Chang Whan Kim;Sung Soo Kim;Tae Ho Kim;Woo Chul Chung;Jae Kwang Kim
    • Journal of Digestive Cancer Research
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    • v.5 no.2
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    • pp.105-112
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    • 2017
  • Background: The expression of miRNAs in response to Helicobacter pylori infection has not been well explored. The aims of this study were to evaluate the H. pylori associated miRNAs in the gastric epithelial cells. Methods: We investigated gastric epithelial cell-line (HS3C) exposed H. pylori over 3 months and AGS cell-line (AGS) exposed H. pylori for 6 hour. After the extraction of miRNA from these cell-lines, microarray and real time PCR were performed to confirm the alteration of expression. Results: All 12 miRNAs chosen for real-time PCR are based on the result of microarray and their potential functions related to H. pylori infection. miR-21, miR-221, miR-222 were upregulated in the H. pylori infected AGS cell for 6 hours and HS3C cells. miR-99b, miR-200b, miR-203b and miR-373 were downregulated in the H. pylori infected AGS cell for 6 hours and HS3C cells. miR-23a, miR-23b, miR-125b, miR-141 and miR-155 were upregulated in HS3C cell line but not in H. pylori infected AGS cell for 6 hours. Conclusion: miR-21, miR-99b, miR-125b, miR-200b, miR-203b, miR-221, miR-222, and miR-373 are supposed to be related with oncogenesis of H. pylori infection. Further studies are needed for the evaluation of the function of these confirmed miRNAs.

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New Approach to Predict microRNA Gene by using data Compression technique

  • Kim, Dae-Won;Yang, Joshua SungWoo;Kim, Pan-Jun;Chu, In-Sun;Jeong, Ha-Woong;Park, Hong-Seog
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.361-365
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    • 2005
  • Over the past few years, the complex and subtle roles of microRNA (miRNA) in gene regulation have been increasingly appreciated. Computational approaches have played one of important roles in identifying miRNAs from plant and animals, as well as in predicting their putative gene target. We present a new approach of comprehensive analysis of the evolutionarily conserved element scores and applied data compression technique to detect putative miRNA genes. We used the evolutionarily conserved elements [19] (see more detail on method and material) to calculate for base-by-base along the candidate pre-miRNA gene region by detecting common conserved pattern from target sequence. We applied the data compression technique [20] to detect unknown miRNA genes. This zipping method devises, without loss of generality with respect to the nature of the character strings, a method to measure the similarity between the strings under consideration [20]. Our experience to using our new computational method for detecting miRNA gene identification (or miRNA gene prediction) has been stratified and we were able to find 28 putative miRNA genes.

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Elucidation of the Molecular Interaction between miRNAs and the HOXA9 Gene, Involved in Acute Myeloid Leukemia, by the Assistance of Argonaute Protein through a Computational Approach

  • Das, Rohit Pritam;Konkimalla, V. Badireenath;Rath, Surya Narayan;Hansa, Jagadish;Jagdeb, Manaswini
    • Genomics & Informatics
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    • v.13 no.2
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    • pp.45-52
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    • 2015
  • Acute myeloid leukemia is a well characterized blood cancer in which the unnatural growth of immature white blood cell takes place, where several genes transcription is regulated by the micro RNAs (miRNAs). Argonaute (AGO) protein is a protein family that binds to the miRNAs and mRNA complex where a strong binding affinity is crucial for its RNA silencing function. By understanding pattern recognition between the miRNAs-mRNA complex and its binding affinity with AGO protein, one can decipher the regulation of a particular gene and develop suitable siRNA for the same in disease condition. In the current work, HOXA9 gene has been selected from literature, whose deregulation is well-established in acute myeloid leukemia. Four miRNAs (mir-145, mir-126, let-7a, and mir-196b) have been selected to target mRNA of HOXA9 (NCBI accession No. NM_152739.3). The binding interaction between mRNAs and mRNA of HOXA9 gene was studied computationally. From result, it was observed mir-145 has highest affinity for HOXA9 gene. Furthermore, the interaction between miRNAs-mRNA duplex of all chosen miRNAs are docked with AGO protein (PDB ID: 3F73, chain A) to study their interaction at molecular level through an in silico approach. The residual interaction and hydrogen bonding are inspected in Discovery Studio 3.5 suites. The current investigation throws light on understanding of AGO-assisted miRNA based gene silencing mechanism in HOXA9 gene associated in acute myeloid leukemia computationally.

Identification of novel potential drugs and miRNAs biomarkers in lung cancer based on gene co-expression network analysis

  • Sara Hajipour;Sayed Mostafa Hosseini;Shiva Irani;Mahmood Tavallaie
    • Genomics & Informatics
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    • v.21 no.3
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    • pp.38.1-38.8
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    • 2023
  • Non-small cell lung cancer (NSCLC) is an important cause of cancer-associated deaths worldwide. Therefore, the exact molecular mechanisms of NSCLC are unidentified. The present investigation aims to identify the miRNAs with predictive value in NSCLC. The two datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DEmiRNA) and mRNAs (DEmRNA) were selected from the normalized data. Next, miRNA-mRNA interactions were determined. Then, co-expression network analysis was completed using the WGCNA package in R software. The co-expression network between DEmiRNAs and DEmRNAs was calculated to prioritize the miRNAs. Next, the enrichment analysis was performed for DEmiRNA and DEmRNA. Finally, the drug-gene interaction network was constructed by importing the gene list to dgidb database. A total of 3,033 differentially expressed genes and 58 DEmiRNA were recognized from two datasets. The co-expression network analysis was utilized to build a gene co- expression network. Next, four modules were selected based on the Zsummary score. In the next step, a bipartite miRNA-gene network was constructed and hub miRNAs (let-7a-2-3p, let-7d-5p, let-7b-5p, let-7a-5p, and let-7b-3p) were selected. Finally, a drug-gene network was constructed while SUNITINIB, MEDROXYPROGESTERONE ACETATE, DOFETILIDE, HALOPERIDOL, and CALCITRIOL drugs were recognized as a beneficial drug in NSCLC. The hub miRNAs and repurposed drugs may act a vital role in NSCLC progression and treatment, respectively; however, these results must validate in further clinical and experimental assessments.

Periodontopathogen LPSs Regulate MicroRNA Expression in Human Gingival Epithelial Cells

  • Lee, Hwa-Sun;Na, Hee-Sam;Jeong, So-Yeon;Jeong, Sung-Hee;Park, Hae-Ryoun;Chung, Jin
    • International Journal of Oral Biology
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    • v.36 no.3
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    • pp.109-116
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    • 2011
  • Periodontitis results from the activation of host immune and inflammatory defense responses to subgingival plaque bacteria, most of which are gram-negative rods with lipopoly-saccharides (LPSs) in their cell walls. LPSs have been known to induce proinflammatory responses and recently it was reported also that they induce the expression of microRNAs (miRNAs) in host cells. In our current study therefore, we aimed to examine and compare the miRNA expression patterns induced by the LPSs of major periodontopathogens in the human gingival epithelial cell line, Ca9-22. The cells were treated with 1 ${\mu}g$/ml of E. coli (Ec) LPS or 5 ${\mu}g$/ml of an LPS preparations from four periodontopathogens Porphyromonas gingivalis (Pg), Prevotella intermedia (Pi), Aggregatibacter actinomycetemcomitans (Aa), and Fusobacterium nucleatum (Fn) for 24 h. After small RNA extraction from the treated cells, miRNA microarray analysis was carried out and characteristic expression profiles were observed. Fn LPS most actively induced miRNAs related to inflammation, followed by Aa LPS, Pi LPS, and Ec LPS. In contrast, Pg LPS only weakly activated miRNAs related to inflammation. Among the miRNAs induced by each LPS, miR-875-3p, miR-449b, and miR-520d-3p were found to be commonly up-regulated by all five LPS preparations, although at different levels. When we further compared the miRNA expression patterns induced by each LPS, Ec LPS and Pi LPS were the most similar although Fn LPS and Aa LPS also induced a similar miRNA expression pattern. In contrast, the miRNA profile induced by Pg LPS was quite distinctive compared with the other bacteria. In conclusion, miR-875-3p, miR-449b, and miR-520d-3p miRNAs are potential targets for the diagnosis and treatment of periodontal inflammation induced by subgingival plaque biofilms. Furthermore, the observations in our current study provide new insights into the inflammatory miRNA response to periodontitis.

Analysis of miRNA expression in the trachea of Ri chicken infected with the highly pathogenic avian influenza H5N1 virus

  • Suyeon Kang;Thi Hao Vu;Jubi Heo;Chaeeun Kim;Hyun S. Lillehoj;Yeong Ho Hong
    • Journal of Veterinary Science
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    • v.24 no.5
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    • pp.73.1-73.16
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    • 2023
  • Background: Highly pathogenic avian influenza virus (HPAIV) is considered a global threat to both human health and the poultry industry. MicroRNAs (miRNA) can modulate the immune system by affecting gene expression patterns in HPAIV-infected chickens. Objectives: To gain further insights into the role of miRNAs in immune responses against H5N1 infection, as well as the development of strategies for breeding disease-resistant chickens, we characterized miRNA expression patterns in tracheal tissues from H5N1-infected Ri chickens. Methods: miRNAs expression was analyzed from two H5N1-infected Ri chicken lines using small RNA sequencing. The target genes of differentially expressed (DE) miRNAs were predicted using miRDB. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were then conducted. Furthermore, using quantitative real-time polymerase chain reaction, we validated the expression levels of DE miRNAs (miR-22-3p, miR-146b-3p, miR27b-3p, miR-128-3p, miR-2188-5p, miR-451, miR-205a, miR-203a, miR-21-3p, and miR-200a3p) from all comparisons and their immune-related target genes. Results: A total of 53 miRNAs were significantly expressed in the infection samples of the resistant compared to the susceptible line. Network analyses between the DE miRNAs and target genes revealed that DE miRNAs may regulate the expression of target genes involved in the transforming growth factor-beta, mitogen-activated protein kinase, and Toll-like receptor signaling pathways, all of which are related to influenza A virus progression. Conclusions: Collectively, our results provided novel insights into the miRNA expression patterns of tracheal tissues from H5N1-infected Ri chickens. More importantly, our findings offer insights into the relationship between miRNA and immune-related target genes and the role of miRNA in HPAIV infections in chickens.