microrna microarray data analysis Search Results


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Macrogen mirnas expression microarray assay
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Biotechnology Information microrna microarray data files
DE microRNAs common to all 3 brain regions.
Microrna Microarray Data Files, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Annoroad Gene Technology Co Ltd microrna microarray analysis
Mir-92b promoted osteogenesis in MSCs (A–B) The top three up/down-regulated microRNAs in De-Os-MSCs were listed, and verified by qPCR (B) (C–E) The scrambled control, let-7e, mir-10b, mir-20a, mir-92b, mir-371 and mir-373 were transduced into MSCs with lentiviruses. The overexpression of each <t>microRNA</t> was verified by qPCR (C). The infected MSCs were induced to undergo osteogenic differentiation for 10 days, then the calcium deposits were stained with Alizarin Red S (D), and quantified (E) (F) Total RNA was extracted from MSCs infected with mir-92b or scrambled control. The mRNA expression levels of Osterix, Runx2, OPN and ALP were detected by qPCR. β-actin was used as an internal control. The data was expressed as mean ​± ​SD (n ​= ​3). ∗p ​< ​0.05 (G–I) Total proteins were extracted from MSCs transduced with scrambled control or mir-92b. Then the proteins were analyzed by western blot using indicated antibodies. The protein levels of pERK (H) and pJNK (I) was normalized to ERK and JNK1 respectively. All the data represent mean ​± ​SD of three independent experiments. ∗p ​< ​0.05 (J–K) The mir-92b antagmir was transfected into MSCs, then the cells were treated with osteogenic induction medium for 10 days, the calcium deposits were stained with Alizarin Red S (J), the changes of osteogenesis-related genes was checked by qPCR (K).
Microrna Microarray Analysis, supplied by Annoroad Gene Technology Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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Genminix Informatics Co Ltd microarray data analysis gene ontology (go) analysis, pathway analysis, path-net, signal-net, and microrna-gene network
Mir-92b promoted osteogenesis in MSCs (A–B) The top three up/down-regulated microRNAs in De-Os-MSCs were listed, and verified by qPCR (B) (C–E) The scrambled control, let-7e, mir-10b, mir-20a, mir-92b, mir-371 and mir-373 were transduced into MSCs with lentiviruses. The overexpression of each <t>microRNA</t> was verified by qPCR (C). The infected MSCs were induced to undergo osteogenic differentiation for 10 days, then the calcium deposits were stained with Alizarin Red S (D), and quantified (E) (F) Total RNA was extracted from MSCs infected with mir-92b or scrambled control. The mRNA expression levels of Osterix, Runx2, OPN and ALP were detected by qPCR. β-actin was used as an internal control. The data was expressed as mean ​± ​SD (n ​= ​3). ∗p ​< ​0.05 (G–I) Total proteins were extracted from MSCs transduced with scrambled control or mir-92b. Then the proteins were analyzed by western blot using indicated antibodies. The protein levels of pERK (H) and pJNK (I) was normalized to ERK and JNK1 respectively. All the data represent mean ​± ​SD of three independent experiments. ∗p ​< ​0.05 (J–K) The mir-92b antagmir was transfected into MSCs, then the cells were treated with osteogenic induction medium for 10 days, the calcium deposits were stained with Alizarin Red S (J), the changes of osteogenesis-related genes was checked by qPCR (K).
Microarray Data Analysis Gene Ontology (Go) Analysis, Pathway Analysis, Path Net, Signal Net, And Microrna Gene Network, supplied by Genminix Informatics Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/microarray data analysis gene ontology (go) analysis, pathway analysis, path-net, signal-net, and microrna-gene network/product/Genminix Informatics Co Ltd
Average 90 stars, based on 1 article reviews
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Biotechnology Information microarray data from ipf-related microrna and mrna expression profiles
<t> microRNA </t> and gene expression <t> microarray </t> datasets related to idiopathic pulmonary fibrosis.
Microarray Data From Ipf Related Microrna And Mrna Expression Profiles, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute microrna (mirna) microarray analysis
<t> microRNA </t> and gene expression <t> microarray </t> datasets related to idiopathic pulmonary fibrosis.
Microrna (Mirna) Microarray Analysis, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


DE microRNAs common to all 3 brain regions.

Journal: PLoS ONE

Article Title: Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain

doi: 10.1371/journal.pone.0190841

Figure Lengend Snippet: DE microRNAs common to all 3 brain regions.

Article Snippet: All microRNA microarray data files are available from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO, https://www.ncbi.nlm.nih.gov/geo/ ), accession number GSE90608.

Techniques:

0h DE  microRNA  targets dysregulated at multiple time points in each brain region.

Journal: PLoS ONE

Article Title: Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain

doi: 10.1371/journal.pone.0190841

Figure Lengend Snippet: 0h DE microRNA targets dysregulated at multiple time points in each brain region.

Article Snippet: All microRNA microarray data files are available from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO, https://www.ncbi.nlm.nih.gov/geo/ ), accession number GSE90608.

Techniques:

Profiles are based on hierarchical clustering of centered and scaled expression log ratios of microRNAs DE in at least one time point. Average expression is plotted in red, and each individual microRNA is plotted in gray. Blue text indicates the total number of microRNAs in each cluster.

Journal: PLoS ONE

Article Title: Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain

doi: 10.1371/journal.pone.0190841

Figure Lengend Snippet: Profiles are based on hierarchical clustering of centered and scaled expression log ratios of microRNAs DE in at least one time point. Average expression is plotted in red, and each individual microRNA is plotted in gray. Blue text indicates the total number of microRNAs in each cluster.

Article Snippet: All microRNA microarray data files are available from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO, https://www.ncbi.nlm.nih.gov/geo/ ), accession number GSE90608.

Techniques: Expressing

Profiles are based on hierarchical clustering of centered and scaled expression log ratios of microRNAs DE in at least one time point. Average expression is plotted in red, and each individual microRNA is plotted in gray. Blue text indicates the total number of microRNAs in each cluster.

Journal: PLoS ONE

Article Title: Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain

doi: 10.1371/journal.pone.0190841

Figure Lengend Snippet: Profiles are based on hierarchical clustering of centered and scaled expression log ratios of microRNAs DE in at least one time point. Average expression is plotted in red, and each individual microRNA is plotted in gray. Blue text indicates the total number of microRNAs in each cluster.

Article Snippet: All microRNA microarray data files are available from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO, https://www.ncbi.nlm.nih.gov/geo/ ), accession number GSE90608.

Techniques: Expressing

Profiles are based on hierarchical clustering of centered and scaled expression log ratios of microRNAs DE in at least one time point. Average expression is plotted in red, and each individual microRNA is plotted in gray. Blue text indicates the total number of microRNAs in each cluster.

Journal: PLoS ONE

Article Title: Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain

doi: 10.1371/journal.pone.0190841

Figure Lengend Snippet: Profiles are based on hierarchical clustering of centered and scaled expression log ratios of microRNAs DE in at least one time point. Average expression is plotted in red, and each individual microRNA is plotted in gray. Blue text indicates the total number of microRNAs in each cluster.

Article Snippet: All microRNA microarray data files are available from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO, https://www.ncbi.nlm.nih.gov/geo/ ), accession number GSE90608.

Techniques: Expressing

Only genes with an associated microRNA are listed. Critical network genes were dysregulated at 120hr and present in at least one of the top three IPA networks derived from the time-point based network analysis. Blue text indicates that RNAs were also identified in the cluster sharing the greatest overlap with the list of critical network genes: AMY—cluster 4; NAC—cluster 3; PFC: cluster 4. Inset shows temporal expression pattern for the designated cluster. See for a full version of the inset figures. Red upward pointing arrow indicates up-regulation; Green downward pointing arrow indicates down-regulation. Bracketed letters denote membership in cell-type specific gene lists (See ) enriched in the analyzed datasets [a = astrocyte, i = immune related, m = microglia, n = neuron, o = oligodendrocyte.] (Cell specific gene lists were pre-loaded into IPA and automatically scored against all datasets submitted to Core Analysis. Significant enrichment was determined by p value < 0.05 using Fisher’s exact test.) A single asterisk (*) indicates the microRNA was uniquely detected in the indicated brain-region.

Journal: PLoS ONE

Article Title: Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain

doi: 10.1371/journal.pone.0190841

Figure Lengend Snippet: Only genes with an associated microRNA are listed. Critical network genes were dysregulated at 120hr and present in at least one of the top three IPA networks derived from the time-point based network analysis. Blue text indicates that RNAs were also identified in the cluster sharing the greatest overlap with the list of critical network genes: AMY—cluster 4; NAC—cluster 3; PFC: cluster 4. Inset shows temporal expression pattern for the designated cluster. See for a full version of the inset figures. Red upward pointing arrow indicates up-regulation; Green downward pointing arrow indicates down-regulation. Bracketed letters denote membership in cell-type specific gene lists (See ) enriched in the analyzed datasets [a = astrocyte, i = immune related, m = microglia, n = neuron, o = oligodendrocyte.] (Cell specific gene lists were pre-loaded into IPA and automatically scored against all datasets submitted to Core Analysis. Significant enrichment was determined by p value < 0.05 using Fisher’s exact test.) A single asterisk (*) indicates the microRNA was uniquely detected in the indicated brain-region.

Article Snippet: All microRNA microarray data files are available from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO, https://www.ncbi.nlm.nih.gov/geo/ ), accession number GSE90608.

Techniques: Derivative Assay, Expressing

Hub genes identified in the cluster-based networks and their associated microRNAs.

Journal: PLoS ONE

Article Title: Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain

doi: 10.1371/journal.pone.0190841

Figure Lengend Snippet: Hub genes identified in the cluster-based networks and their associated microRNAs.

Article Snippet: All microRNA microarray data files are available from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO, https://www.ncbi.nlm.nih.gov/geo/ ), accession number GSE90608.

Techniques: Expressing

Mir-92b promoted osteogenesis in MSCs (A–B) The top three up/down-regulated microRNAs in De-Os-MSCs were listed, and verified by qPCR (B) (C–E) The scrambled control, let-7e, mir-10b, mir-20a, mir-92b, mir-371 and mir-373 were transduced into MSCs with lentiviruses. The overexpression of each microRNA was verified by qPCR (C). The infected MSCs were induced to undergo osteogenic differentiation for 10 days, then the calcium deposits were stained with Alizarin Red S (D), and quantified (E) (F) Total RNA was extracted from MSCs infected with mir-92b or scrambled control. The mRNA expression levels of Osterix, Runx2, OPN and ALP were detected by qPCR. β-actin was used as an internal control. The data was expressed as mean ​± ​SD (n ​= ​3). ∗p ​< ​0.05 (G–I) Total proteins were extracted from MSCs transduced with scrambled control or mir-92b. Then the proteins were analyzed by western blot using indicated antibodies. The protein levels of pERK (H) and pJNK (I) was normalized to ERK and JNK1 respectively. All the data represent mean ​± ​SD of three independent experiments. ∗p ​< ​0.05 (J–K) The mir-92b antagmir was transfected into MSCs, then the cells were treated with osteogenic induction medium for 10 days, the calcium deposits were stained with Alizarin Red S (J), the changes of osteogenesis-related genes was checked by qPCR (K).

Journal: Journal of Orthopaedic Translation

Article Title: De-osteogenic-differentiated mesenchymal stem cells accelerate fracture healing by mir-92b

doi: 10.1016/j.jot.2020.10.009

Figure Lengend Snippet: Mir-92b promoted osteogenesis in MSCs (A–B) The top three up/down-regulated microRNAs in De-Os-MSCs were listed, and verified by qPCR (B) (C–E) The scrambled control, let-7e, mir-10b, mir-20a, mir-92b, mir-371 and mir-373 were transduced into MSCs with lentiviruses. The overexpression of each microRNA was verified by qPCR (C). The infected MSCs were induced to undergo osteogenic differentiation for 10 days, then the calcium deposits were stained with Alizarin Red S (D), and quantified (E) (F) Total RNA was extracted from MSCs infected with mir-92b or scrambled control. The mRNA expression levels of Osterix, Runx2, OPN and ALP were detected by qPCR. β-actin was used as an internal control. The data was expressed as mean ​± ​SD (n ​= ​3). ∗p ​< ​0.05 (G–I) Total proteins were extracted from MSCs transduced with scrambled control or mir-92b. Then the proteins were analyzed by western blot using indicated antibodies. The protein levels of pERK (H) and pJNK (I) was normalized to ERK and JNK1 respectively. All the data represent mean ​± ​SD of three independent experiments. ∗p ​< ​0.05 (J–K) The mir-92b antagmir was transfected into MSCs, then the cells were treated with osteogenic induction medium for 10 days, the calcium deposits were stained with Alizarin Red S (J), the changes of osteogenesis-related genes was checked by qPCR (K).

Article Snippet: The microRNA microarray analysis was performed by the Annoroad Gene Technology Corporation (Beijing, China).

Techniques: Control, Over Expression, Infection, Staining, Expressing, Transduction, Western Blot, Transfection

 microRNA  and gene expression  microarray  datasets related to idiopathic pulmonary fibrosis.

Journal: Mediators of Inflammation

Article Title: Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis

doi: 10.1155/2017/1804240

Figure Lengend Snippet: microRNA and gene expression microarray datasets related to idiopathic pulmonary fibrosis.

Article Snippet: Microarray data from IPF-related microRNA and mRNA expression profiles were retrieved and downloaded from the National Center for Biotechnology Information (NCBI) GEO database ( http://www.ncbi.nlmNih.gov/geo ).

Techniques: Expressing, Microarray