Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281657211> ?p ?o ?g. }
- W4281657211 abstract "Abstract Background Long non-coding RNA (lncRNA) plays crucial role in osteogenic differentiation of bone marrow mesenchymal stem cells (BMMSCs), involving in regulation of competing endogenous RNA (ceRNA) mechanisms and conduction of signaling pathways. However, its mechanisms are poorly understood. This study aimed to investigate lncRNAs, miRNAs and mRNAs expression profiles in rat BMMSCs (rBMMSCs) osteogenic differentiation, screen the potential key lncRNA-miRNA-mRNA networks, explore the putative functions and identify the key molecules, as the basis of studying potential mechanism of rBMMSCs osteogenic differentiation driven by lncRNA, providing molecular targets for the management of bone defect. Methods High-throughput RNA sequencing (RNA-seq) was used to determine lncRNAs, miRNAs, and mRNAs expression profiles at 14-day rBMMSCs osteogenesis. The pivotal lncRNA-miRNA and miRNA-mRNA networks were predicted from sequencing data and bioinformatic analysis, and the results were exported by Cytoscape 3.9.0 software. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used for functional exploration. Real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed to validate lncRNAs, miRNAs and mRNAs. Results rBMMSCs were identified, and the osteogenic and adipogenic differentiation ability were detected. A total of 8634 lncRNAs were detected by RNA-seq, and 1524 differential expressed lncRNAs, of which 812 up-regulated and 712 down-regulated in osteo-inductive groups compared with control groups. 30 up-regulated and 61 down-regulated miRNAs, 91 miRNAs were differentially expressed in total. 2453 differentially expressed mRNAs including 1272 up-expressed and 1181 down-expressed were detected. 10 up-regulated lncRNAs were chosen to predict 21 down-regulated miRNAs and 650 up-regulated mRNAs. 49 lncRNA-miRNA and 1515 miRNA–mRNA interactive networks were constructed. GO analysis showed the most important enrichment in cell component and molecular function were “cytoplasm” and “protein binding”, respectively. Biological process related to osteogenic differentiation such as “cell proliferation”, “wound healing”, “cell migration”, “osteoblast differentiation”, “extracellular matrix organization” and “response to hypoxia” were enriched. KEGG analysis showed differentially expressed genes were mainly enriched in “PI3K-Akt signaling pathway”, “Signaling pathway regulating pluripotency of stem cells”, “cGMP-PKG signaling pathway”, “Axon guidance” and “Calcium signaling pathway”. qRT-PCR verified that lncRNA Tug1, lncRNA AABR07011996.1, rno-miR-93-5p, rno-miR-322-5p, Sgk1 and Fzd4 were consistent with the sequencing results, and 4 lncRNA-miRNA-mRNA networks based on validations were constructed, and enrichment pathways were closely related to “PI3K-Akt signaling pathway”, “Signaling pathway regulating pluripotency of stem cells” and “Wnt signaling pathway”. Conclusions lncRNAs, miRNAs and mRNAs expression profiles provide clues for future studies on their roles for BMMSCs osteogenic differentiation. Furthermore, lncRNA–miRNA–mRNA networks give more information on potential new mechanisms and targets for management on bone defect." @default.
- W4281657211 created "2022-06-13" @default.
- W4281657211 creator A5006113373 @default.
- W4281657211 creator A5019316566 @default.
- W4281657211 creator A5033395699 @default.
- W4281657211 creator A5060335470 @default.
- W4281657211 creator A5072446630 @default.
- W4281657211 creator A5072707998 @default.
- W4281657211 creator A5074745823 @default.
- W4281657211 creator A5076499485 @default.
- W4281657211 creator A5086696969 @default.
- W4281657211 date "2022-06-07" @default.
- W4281657211 modified "2023-10-15" @default.
- W4281657211 title "Comprehensive analysis of lncRNA-miRNA-mRNA networks during osteogenic differentiation of bone marrow mesenchymal stem cells" @default.
- W4281657211 cites W1973094248 @default.
- W4281657211 cites W1998422171 @default.
- W4281657211 cites W2061548680 @default.
- W4281657211 cites W2075320162 @default.
- W4281657211 cites W2080818154 @default.
- W4281657211 cites W2103017472 @default.
- W4281657211 cites W2134629862 @default.
- W4281657211 cites W2141458291 @default.
- W4281657211 cites W2159482845 @default.
- W4281657211 cites W2159793493 @default.
- W4281657211 cites W2198153867 @default.
- W4281657211 cites W2559588208 @default.
- W4281657211 cites W2625497681 @default.
- W4281657211 cites W2744386967 @default.
- W4281657211 cites W2802998299 @default.
- W4281657211 cites W2807672443 @default.
- W4281657211 cites W2884484808 @default.
- W4281657211 cites W2898402099 @default.
- W4281657211 cites W2901211746 @default.
- W4281657211 cites W2904127903 @default.
- W4281657211 cites W2915433652 @default.
- W4281657211 cites W2970358232 @default.
- W4281657211 cites W2975121107 @default.
- W4281657211 cites W2977282109 @default.
- W4281657211 cites W2989118749 @default.
- W4281657211 cites W2993347499 @default.
- W4281657211 cites W3003480105 @default.
- W4281657211 cites W3017436282 @default.
- W4281657211 cites W3019725739 @default.
- W4281657211 cites W3020813071 @default.
- W4281657211 cites W3022704139 @default.
- W4281657211 cites W3023789537 @default.
- W4281657211 cites W3036794680 @default.
- W4281657211 cites W3039995393 @default.
- W4281657211 cites W3043226828 @default.
- W4281657211 cites W3081851245 @default.
- W4281657211 cites W3086100869 @default.
- W4281657211 cites W3092057810 @default.
- W4281657211 cites W3096379199 @default.
- W4281657211 cites W3097907762 @default.
- W4281657211 cites W3110952465 @default.
- W4281657211 cites W3112600195 @default.
- W4281657211 cites W3114095103 @default.
- W4281657211 cites W3118765539 @default.
- W4281657211 cites W3121873234 @default.
- W4281657211 cites W3128406387 @default.
- W4281657211 cites W3138956496 @default.
- W4281657211 cites W3154789860 @default.
- W4281657211 cites W3157821976 @default.
- W4281657211 cites W3160982909 @default.
- W4281657211 cites W3172860500 @default.
- W4281657211 cites W3173186344 @default.
- W4281657211 cites W3177210890 @default.
- W4281657211 cites W3187238766 @default.
- W4281657211 cites W3193455840 @default.
- W4281657211 cites W3194282467 @default.
- W4281657211 cites W3209855113 @default.
- W4281657211 cites W3211989584 @default.
- W4281657211 cites W4210666929 @default.
- W4281657211 cites W4294216483 @default.
- W4281657211 doi "https://doi.org/10.1186/s12864-022-08646-x" @default.
- W4281657211 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35672672" @default.
- W4281657211 hasPublicationYear "2022" @default.
- W4281657211 type Work @default.
- W4281657211 citedByCount "5" @default.
- W4281657211 countsByYear W42816572112022 @default.
- W4281657211 countsByYear W42816572112023 @default.
- W4281657211 crossrefType "journal-article" @default.
- W4281657211 hasAuthorship W4281657211A5006113373 @default.
- W4281657211 hasAuthorship W4281657211A5019316566 @default.
- W4281657211 hasAuthorship W4281657211A5033395699 @default.
- W4281657211 hasAuthorship W4281657211A5060335470 @default.
- W4281657211 hasAuthorship W4281657211A5072446630 @default.
- W4281657211 hasAuthorship W4281657211A5072707998 @default.
- W4281657211 hasAuthorship W4281657211A5074745823 @default.
- W4281657211 hasAuthorship W4281657211A5076499485 @default.
- W4281657211 hasAuthorship W4281657211A5086696969 @default.
- W4281657211 hasBestOaLocation W42816572111 @default.
- W4281657211 hasConcept C104317684 @default.
- W4281657211 hasConcept C105580179 @default.
- W4281657211 hasConcept C122927707 @default.
- W4281657211 hasConcept C145059251 @default.
- W4281657211 hasConcept C150194340 @default.
- W4281657211 hasConcept C152724338 @default.
- W4281657211 hasConcept C162317418 @default.
- W4281657211 hasConcept C198826908 @default.