scholarly journals MiRNA biomarkers and potential critical genes associated with the prognosis of gastric cancer

2021 ◽  
Author(s):  
Zhou Chen ◽  
Hao Xu ◽  
Zhongtian Bai ◽  
Shi Dong ◽  
Jian Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Target Genes ◽  
Cox Model ◽  
Differential Expression Analysis ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Diagnosis And Prognosis ◽  
Kaplan Meier ◽  
Differentially Expressed Mirnas ◽  
Pathway Analyses

Abstract Background Dysregulated expression of miRNAs in gastric cancer (GC) is associated with tumor progression. MiRNA markers are important for the prognosis and therapeutic targeting of GC patients. Methods To detect differentially expressed miRNAs in GC from the TCGA database and predict their target genes. We downloaded RNA sequencing (RNA-seq), miRNA-seq and clinical data of GC from TCGA. Differential expression analysis of RNA-seq and miRNA-seq data was performed by R 3.6.1. MiRNAs associated with prognosis were evaluated with the Cox model, and differentially expressed miRNAs were assessed by Kaplan–Meier curve analysis. Risk factors were identified in the Cox model. Target genes of differentially expressed miRNAs were searched in three databases. GO enrichment and KEGG pathway analyses were used to evaluate the biological functions of these target genes.Results Five miRNAs (hsa-miR-135b-3p, hsa-miR-143-5p, hsa-miR-196b-3p, hsa-miR-942-3p, hsa-miR-9-3p) were related to survival. Eight target genes (AKAP12, AR, DZIP1, PCDHA11, PCDHA12, PI15, SH3BGRL and TMEM108) were closely correlated with patient overall survival (OS). Conclusion Differentially expressed miRNAs and their target genes have an important influence on the diagnosis and prognosis of GC and may be used as tumor biomarkers in further studies and as potential therapeutic targets.

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 Identification of key miRNA and hub genes in lung adenocarcinoma by bioinformatics and functional analysis

2020 ◽  
Author(s):  
Jiayao Zhu ◽  
Yan Zhang ◽  
Jingjing Lu ◽  
Le Wang ◽  
Xiaoren Zhu ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Lung Adenocarcinoma ◽  
Target Gene ◽  
Target Genes ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Kaplan Meier ◽  
Differentially Expressed Mirnas

Abstract Background: lung adenocarcinoma is the main subtype of lung cancer and the most fatal malignant disease in the world. However, the pathogenesis of lung adenocarcinoma has not been fully elucidated.Methods: Three LUAD-associated datesets (GSE118370, GSE43767 and GSE74190) were downloaded from the Gene Expression Omnibus (GEO) datebase and the differentially expressed miRNAs (DEMs) and genes (DEGs) were screened by GEO2R. The prediction of target gene of differentially expressed miRNA were used miRWALK. Metascape was used to enrich the overlapped genes of DEGs and target genes. Then, the protein-protein interaction(PPI) and DEMs-DEGs regulatory network were created via String datebase and Cytoscape. Finally, overall survival analysis was established via the Kaplan–Meier curve and look for the possible prognostic biomarkers.Result: In this study, 433 differential genes were identified. There were 267 genes overlapped with the target gene of Dems, and eight hub genes (CDH1, CDH5, CAV1, MMP9, PECAM1, CD24, ENG, MME) were screened out. There were 85 different miRNAs in total, among which 16 miRNA target genes intersect with DEGs, 12 miRNAs with the highest interaction were screened out, and survival analysis of miRNA and hub genes was carried out.Conclusion: we found that miRNA-940, miRNA-125a-3p, miRNA-140-3p, miRNA-542-5p, CDH1, CDH5, CAV1, MMP9, PECAM1 may be related to the development of LUAD.

scholarly journals Identification of a Key Competing Endogenous RNA Axis, “COL5A1/miR-137-3p/FSTL1”, Associated With Gastric Cancer Progression by Integrated Bioinformatics Analyses and Experimental Verification

2021 ◽  
Author(s):  
Ming Yang ◽  
Zhixing Lu ◽  
Liang Li ◽  
Min Ma ◽  
Fei Long ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Progression ◽  
Target Gene ◽  
Target Genes ◽  
Differentially Expressed ◽  
Luciferase Reporter ◽  
Migration And Invasion ◽  
Bioinformatics Analyses ◽  
Immune Infiltration ◽  
Differentially Expressed Mirnas

Abstract Background MicroRNAs (miRNAs) and their target genes have been shown to play an important role in gastric cancer (GC), but this role has not been fully clarified. Therefore, our goal was to find the key miRNA-mRNA regulatory network in GC by combining a variety of bioinformatics and experimental analyses. Methods Differentially expressed miRNAs (DEMs) and genes (DEGs) were screened from TCGA and GEO, respectively. Survival-related differentially expressed miRNAs (SRDEMs) were determined by Cox proportional hazards regression and lasso regression analyses. Differentially expressed target genes (DETGs) of SRDEMs were predicted by TargetScan and miRDB and overlapped with DEGs. We constructed a protein–protein interaction (PPI) network of DETGs and conducted weighted gene coexpression network analysis (WGCNA) to screen the hub genes. Then, qRT–PCR and western blotting were performed to detect the expression level, and a dual-luciferase reporter assay was conducted to verify the binding of miRNA and mRNAs. CCK-8, EdU, wound healing and Transwell assays were conducted to compare the proliferation, migration and invasion abilities of GC cells in the different groups. Results We identified 11 SRDEMs and 233 DETGs, from which we selected miR-137-3p and its target gene COL5A1 for further research because of their key roles in the results of the bioinformatics analyses. Then, we showed that miR-137-3p was significantly downregulated in GC and that overexpression of miR-137-3p suppressed the proliferation, invasion and migration of GC cells by targeting COL5A1. Furthermore, we found that COL5A1 could regulate the expression of FSTL1 and GC progression by sponging miR-137-3p. Finally, bioinformatics analyses showed that FSTL1 might promote GC progression by regulating the immune infiltration of GC. Conclusions miR-137-3p played a tumor-suppressive role in GC, and its target gene COL5A1 could competitively bind miR-137-3p to upregulate the expression of FSTL1, which affects immune infiltration.

scholarly journals High-Throughput Sequencing Reveals the Differential MicroRNA Expression Profiles of Human Gastric Cancer SGC7901 Cell Xenograft Nude Mouse Models Treated with Traditional Chinese Medicine Si Jun Zi Tang Decoction

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Junfu Guo ◽  
Xiangnan Li ◽  
Lanying Miao ◽  
Hongwei Sun ◽  
Xia Gao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Throughput Sequencing ◽  
Target Genes ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Human Gastric Cancer ◽  
Model Group ◽  
Sgc7901 Cell ◽  
Qrt Pcr ◽  
Differentially Expressed Mirnas

Objective. The present study aimed to investigate the potential mechanism underlying the antitumor effect of Si Jun Zi Tang (SJZT) decoction on gastric cancer. Methods. Twelve human gastric cancer SGC7901 cell xenograft nude mouse models were established. The mice were randomly divided into the Model group and SJZT group. SJZT exerted significant antitumor effects after 21 days of decoction administration. High-throughput sequencing was used to analyze the microRNA (miRNA) expression profiles of tumor tissues. Bioinformatics analysis was performed to provide further information regarding the differentially expressed miRNAs. Five representative differentially expressed miRNAs and four predicted target genes were further validated using quantitative real-time reverse transcription PCR (qRT-PCR). Results. We identified 33 miRNAs that were differentially expressed in the SJZT group compared with the Model group. Among them, 32 miRNAs were upregulated and 1 miRNA was downregulated. Bioinformatic analysis showed that most of miRNAs acted as tumor suppressors and their target genes participated in multiple signaling pathways, including the PI3K/Akt signaling pathway, microRNAs in cancer, and Wnt signaling pathway. The qRT-PCR result confirmed that miR-223-3p, miR-205-5p, miR-147b-3p, and miR-223-5p were overexpressed and their respective paired target genes FUT9, POU2F1, MUC4, and RAB14 mRNA were obviously downregulated in the SJZT group compared with those in the Model group. Network analysis revealed that miR-223-3p and miR-205-5p shared two targets POU2F1 (encoding POU class 2 homeobox 1) and FUT9 (encoding fucosyltransferase 9), suggesting they have a common role in certain pathways. Conclusion. This study provided novel insights into the anticancer mechanism of SJZT against gastric cancer, which might be partly related to the modulation of miRNA expression and their target pathways in tumors.

Identification and Characterization of New Microrna Biomarkers and Target Genes in Drug-Insensitive CD34+ CML Stem/Progenitor Cells Using Global Comparative RNA-Seq Analyses

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1567-1567
Author(s):  
Hanyang Lin ◽  
Jonathan Zeng ◽  
Katharina Rothe ◽  
Jens Ruschmann ◽  
Oleh Petriv ◽  
...  
Keyword(s):  
Progenitor Cells ◽  
Mirna Target ◽  
Target Genes ◽  
Expression Profiles ◽  
Therapeutic Targets ◽  
Mapk Signaling ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Cd34 Cells ◽  
Differentially Expressed Mirnas

Abstract Therapeutic targeting of BCR-ABL with selective ABL tyrosine kinase inhibitors (TKIs) has led to a significant survival benefit for early phase CML. However, TKI monotherapies are rarely curative, with persistence of leukemic stem cells, emergence of resistance and relapses remaining as challenges. To identify differentially expressed and new miRNAs in CD34+ CML stem/progenitor cells that might serve as potential biomarkers and/or therapeutic targets, we have performed Illumina Deep Sequencing to obtain absolute miRNA expression profiles of highly purified CD34+ cells obtained at newly diagnosed stage from six CML patients. Three of the patients were classified retrospectively, after imatinib (IM) therapy, as IM-responders and three as IM-nonresponders. CD34+ cells isolated from five normal bone marrow (NBM) samples were similarly analyzed as controls. Bioconductor DESeq2 analysis revealed 63 differentially expressed miRNAs between CML and NBM samples (adjusted P<0.05). Most differentially expressed miRNAs identified were down-regulated in CML compared to NBM, while 17 were up-regulated. Interestingly, 12 miRNAs were found to be differentially expressed between the IM-responders and IM-nonresponders. In addition, 34 novel miRNAs were identified in the CD34+ CML stem/progenitor cells. We next validated the sequencing data in a larger cohort of samples. CD34+ cells from IM-responders (n=12), IM-nonresponders (n=10) and normal individuals (n=11) were analyzed using a high-throughput qPCR microfluidics device. These studies confirmed the differential expression in CD34+ CML cells of 32 of the 63 miRNAs (adjusted P<0.05), including an increased level of oncomirs miR-155 and miR-17-92, and a decreased level of tumor suppressors miR-145, miR-151, and miR-452. Importantly, significant changes in some of these miRNAs were detected in CD34+ cells from CML patients (n=60) after three months of nilotinib (NL) treatment compared to the same patient samples before the treatment: expression of 18 miRNAs were normalized after NL therapy, whereas 10 showed little change. To further identify potential miRNA target genes, RNA-seq analysis was performed on the same RNA samples to correlate miRNA profiles with corresponding mRNA expression changes. Bioconductor RmiR analysis was performed to match miRNA target genes whose expression was inversely correlated with the expression of deregulated miRNAs based on three of six prediction algorithms (mirBase, TargetScan, miRanda, tarBase, mirTarget2, and PicTar). We have identified 1,210 differentially expressed mRNAs that are predicted targets of the deregulated miRNAs in the comparison of CML and NBM data. Interestingly, only seven differentially expressed genes were predicted targets of the deregulated miRNAs identified in a comparison of IM-responders and IM-nonresponders. Most of the predicted target genes are involved in cell cycle regulation, MAPK signaling and TGF-beta signaling pathways according to DAVID Bioinformatics Resources analysis, which clusters predicted target genes to known KEGG pathways. To elucidate the biological significance of the differentially expressed miRNAs in TKI-insensitive CML stem/progenitor cells, a number of functional assays were performed. An initial screen of eight miRNAs, selected for their novelty and CML-related potential target genes, was performed by transiently transfecting CML cells with miRNA mimics or inhibitors, and chemically synthesized RNAs which mimic or inhibit mature endogenous miRNAs. Four of the eight miRNA mimics/inhibitors transfected cells displayed significant growth disadvantages and enhanced sensitivity to TKI treatments based on trypan-blue exclusion, thymidine incorporation, apoptosis, and colony-forming cell assays. Q-RT-PCR analysis further showed reduced expression of their predicted target genes in cells transfected with miRNA mimics. Taken together, we have identified aberrant, differentially expressed miRNAs and their target genes in TKI-insensitive CML stem/progenitor cells that may serve as useful biomarkers to predict clinical response of CML patients to TKI therapy and ultimately lead to identification of new therapeutic targets for improved treatment options in CML. Disclosures No relevant conflicts of interest to declare.

scholarly journals ARHGEF3 Associated with Invasion, Metastasis, and Proliferation in Human Osteosarcoma

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jie Gong ◽  
Wei Tang ◽  
Bin Lv ◽  
Shushu Zhang ◽  
Tingjuan Fan ◽  
...  
Keyword(s):  
Target Genes ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Qrt Pcr ◽  
Human Osteosarcoma ◽  
Gene Profiles ◽  
Kaplan Meier ◽  
Differentially Expressed Mirnas ◽  
Kaplan Meier Plotter ◽  
Geo Database

Background. Osteosarcoma is a malignant bone tumor composed of mesenchymal cells producing osteoid and immature bone. This study is aimed at developing novel potential prognostic biomarkers and constructing a miRNA-mRNA network for progression in osteosarcoma. Method. GSE70367 and GSE70414 were obtained in the Gene Expression Omnibus (GEO) database. GEO software and the GEO2R calculation method were used to analyze two gene profiles. The coexpression of differentially expressed miRNAs (DEMs) and genes (DEGs) was identified and searched for in the FunRich database for pathway and ontology analysis. Cytoscape was utilized to construct the mRNA-miRNA network. Survival analysis of identified miRNAs and mRNAs was performed by utilizing the Kaplan-Meier Plotter. Besides, expression levels of DEMs and target mRNAs were verified by performing quantitative real-time PCR (qRT-PCR) and Western blot (WB). Results. Six differentially expressed microRNAs (DEMs) were identified, and 8 target genes were selected after screening. By using the KM Plotter software, miRNA-124 and ARHGEF3 were obviously associated with the overall survival of patients with osteosarcoma. Furthermore, ARHGEF3 was found downregulated in osteosarcoma cells by performing qRT-PCR and WB experiments. Results also showed that downregulated ARHGEF3 may associate with invasion, metastasis, and proliferation. Conclusions. By using microarray and bioinformatics analysis, DEMs were selected, and a complete miRNA-mRNA network was constructed. ARHGEF3 may act as a therapeutic and prognostic target of osteosarcoma.

scholarly journals MiRNAs expression profiling of rat ovaries displaying PCOS with insulin resistance

2020 ◽  
Vol 302 (5) ◽  
pp. 1205-1213
Author(s):  
Chunren Zhang ◽  
Chuyi Yu ◽  
Zengxian Lin ◽  
Haixia Pan ◽  
Kunyin Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Target Genes ◽  
Kegg Pathway ◽  
Polycystic Ovary ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Real Time Quantitative Pcr ◽  
Qrt Pcr ◽  
Differentially Expressed Mirnas ◽  
Pathway Analyses

Abstract Purpose The present study established microRNA (miRNA) expression profiles for rat ovaries displaying polycystic ovary syndrome (PCOS) with insulin resistance and explored the underlying biological functions of differentially expressed miRNAs. Methods A PCOS with insulin resistance rat model was created by administering letrozole and a high-fat diet. Total RNA was extracted from the ovaries of PCOS with insulin resistance rats and normal rats. Three ovaries from each group were used to identify differentially expressed miRNAs by deep sequencing. A hierarchical clustering heatmap and volcano plot were used to display the pattern of differentially expressed miRNAs. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted to explore the potential target genes of the differentially expressed miRNAs and identify their putative biological function. Nine of the differentially expressed miRNAs were selected for validation by Real-time Quantitative PCR (qRT-PCR). Results A total of 58 differentially expressed miRNAs were identified in the rat ovaries exhibiting PCOS with insulin resistance compared with control ovaries, including 23 miRNAs that were upregulated and 35 miRNAs that were downregulated. GO and KEGG pathway analyses revealed that the predicted target genes were related to metabolic processes, cellular processes, and metabolic pathways. Furthermore, qRT-PCR confirmed that miR-3585-5p and miR-30-5p were significantly upregulated and miR-146-5p was downregulated in the ovaries of PCOS with insulin resistance rats compared with the controls. Conclusion These results indicate that differentially expressed miRNAs in rat ovaries may be involved in the pathophysiology of insulin resistance in PCOS. Our study may be beneficial in establishing miRNAs as novel diagnostic and therapeutic biomarkers for insulin resistance in PCOS.

scholarly journals Multiple Omics Integration Reveals Key Circular RNAs in Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Zi-Li Huang ◽  
Xiu-Yan Huang ◽  
Jin Huang ◽  
Xin-Yu Huang ◽  
Yong-Hua Xu ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Target Genes ◽  
Differential Expression Analysis ◽  
Enrichment Analysis ◽  
Underlying Mechanism ◽  
Gene Set Enrichment Analysis ◽  
Differentially Expressed ◽  
Circular Rnas ◽  
Rna Seq ◽  
Highly Correlated

BackgroundHCC is one of the most common malignancies with an increasing incidence worldwide, especially in Asian countries. However, even though targeted cancer therapy drugs such as sorafenib and regorafenib are available, the overall outcome of HCC remains unsatisfactory. Thus, it is urgent to investigate the molecular mechanisms of HCC progression, so as to provide accurate diagnostic criteria and therapeutic targets.MethodsRNA-seq data was used to identify and quantify circular RNAs (circRNAs). DESeq2 was used to identify the differentially expressed circRNAs. miRNA binding sites within circRNAs were identified by miRanda. Gene set enrichment analysis (GSEA) was conducted to predict the biological function of circRNAs.ResultsThe differential expression analysis identified 107 upregulated and 95 downregulated circRNAs in HCC tissues. We observed that a differentially expressed circRNA (DE-circRNA), hsa_circ_0141900 was highly negatively correlated with its parental gene RAB1A (PCC &lt; -0.6), which was also closely associated with mTOR signaling pathway. Moreover, we also constructed competing endogenous RNA (ceRNA) network to identify key circRNAs involved in HCC. Notably, hsa_circ_0002130 and hsa_circ_0008774 were highly correlated with the genes involved in gluconeogenesis and HNF3A pathway via the target genes, GOT2 and AR, suggesting that the two circRNAs might regulate these pathways, respectively. Survival analysis revealed that GOT2 was associated with favorable prognosis. Furthermore, high expression of hsa_circ_0002130 was found to inhibit tumor cell growth and promotes GOT2 expression.ConclusionIn summary, the circRNAs highlighted by the integrative analysis greatly improved our understanding of the underlying mechanism of circRNAs in HCC.

scholarly journals Comprehensive analysis of differentially expressed lncRNAs and associated ceRNA networks in Patau syndrome

2020 ◽  
Author(s):  
Jieping Chen ◽  
Jun Zhou ◽  
Zhiyang Hu ◽  
Huiyan He ◽  
Weiguo Sui ◽  
...  
Keyword(s):  
Cord Blood ◽  
Peripheral Blood ◽  
Target Gene ◽  
Target Genes ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Biological Functions ◽  
Patau Syndrome ◽  
Differentially Expressed Mirnas

Abstract Objective: LncRNAs are a class of competing for endogenous RNAs (ceRNAs) with no coding ability and have miRNA binding sites that competitively bind to miRNAs and inhibit miRNA-mediated regulation of target genes. In recent years, an increasing number of studies have recognized the biological functions of lncRNAs.Methods: Illumina RNA-Seq technology was used to analyze the cord blood with Patau syndrome (PS) fetal and the peripheral blood of pregnant women to obtain differential expression profiles of lncRNAs, miRNAs, and mRNAs. Further, Combined with bioinformatics analysis of the biological functions of differentially expressed lncRNAs (DElncRNAs). Results: The results showed that 467 DElncRNAs, 8512 differentially expressed mRNAs (DEmRNAs), and 18 differentially expressed miRNAs (DEmiRNAs) were found to be co-expressed in cord blood and peripheral blood. The hsa-miR-15a-5p is located on chromosome 13. We constructed the ceRNA network with hsa-miR-15a-5p, lncRNAs as the bait, and mRNAs as the targe. Conclusion: We consider that the DElncRNAs may indirectly regulate the target gene CLASRP or KARS by binding hsa-miR-15a-5p to participate in the occurrence of PS.

Bioinformatics Analysis Reveals Functions of MicroRNAs in Rice Under the Drought Stress

2021 ◽  
Vol 15 (8) ◽  
pp. 927-936 ◽  
Author(s):  
Yan Peng ◽  
Yuewu Liu ◽  
Xinbo Chen
Keyword(s):  
Drought Stress ◽  
Target Genes ◽  
Hot Spot ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Protein Protein Interaction ◽  
Promising Tool ◽  
Differentially Expressed Mirnas ◽  
Aba Biosynthesis

Background: Drought is one of the most damaging and widespread abiotic stresses that can severely limit the rice production. MicroRNAs (miRNAs) act as a promising tool for improving the drought tolerance of rice and have become a hot spot in recent years. Objective: In order to further extend the understanding of miRNAs, the functions of miRNAs in rice under drought stress are analyzed by bioinformatics. Method: In this study, we integrated miRNAs and genes transcriptome data of rice under the drought stress. Some bioinformatics methods were used to reveal the functions of miRNAs in rice under drought stress. These methods included target genes identification, differentially expressed miRNAs screening, enrichment analysis of DEGs, network constructions for miRNA-target and target-target proteins interaction. Results: (1) A total of 229 miRNAs with differential expression in rice under the drought stress, corresponding to 73 rice miRNAs families, were identified. (2) 1035 differentially expressed genes (DEGs) were identified, which included 357 up-regulated genes, 542 down-regulated genes and 136 up/down-regulated genes. (3) The network of regulatory relationships between 73 rice miRNAs families and 1035 DEGs was constructed. (4) 25 UP_KEYWORDS terms of DEGs, 125 GO terms and 7 pathways were obtained. (5) The protein-protein interaction network of 1035 DEGs was constructed. Conclusion: (1) MiRNA-regulated targets in rice might mainly involve in a series of basic biological processes and pathways under drought conditions. (2) MiRNAs in rice might play critical roles in Lignin degradation and ABA biosynthesis. (3) MiRNAs in rice might play an important role in drought signal perceiving and transduction.

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