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Biotechnology Information microarray transcriptome data
Microarray Transcriptome Data, 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
https://www.bioz.com/product/microarrays+transcriptomic+data/gene+microarray+data/pmc09002353-41-0-10
Average 90 stars, based on 1 article reviews
microarray transcriptome data - by Bioz Stars, 2026-09
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Microarray:

Article Title: Pathogenesis of Alopecia Areata Based on Bioinformatics Analysis
Article Snippet: .. [ ] In the present study, we analyzed gene microarray data from the Gene-Cloud of Biotechnology Information (GCBI) database from patients with AA and from healthy controls to explore the molecular level changes in the skin of patients with AA and the possible underlying molecular causes of AA in order to identify the putative candidates for the early diagnosis and intervention of AA. .. Data from gene chip GSE68801 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE68801 ) were obtained from the GCBI high-throughput data analysis platform using the search term “alopecia areata”, and the data which were submitted by Jabbari et al ., were analyzed on May 12, 2015 using Affymetrix Human Genome U133 Plus 2.0 Array Gene Expression Chip Platform GPL570, and updated on September 15, 2017.

Article Title: Systematic large-scale meta-analysis identifies miRNA-429/200a/b and miRNA-141/200c clusters as biomarkers for necrotizing enterocolitis in newborn
Article Snippet: .. NEC in newborn-related microarray data were downloaded from Gene Expression Omnibus (GEO) database ( https://www.ncbi.nlm.nih.gov/geo/ ), the sub-database of National Center for Biotechnology Information, amongst which miRNA chip GSE68054 and gene chip GSE46619 were utilized for screening differential expression. ..

Article Title: Pathogenesis of Alopecia Areata Based on Bioinformatics Analysis
Article Snippet: .. Gene microarray data from 122 scalp skin biopsy tissue samples from patients with AA or healthy controls from the Gene-Cloud of Biotechnology Information database were analyzed using bioinformatics analysis methods. ..

Article Title: Staphylococcus aureus nonribosomal peptide secondary metabolites regulate virulence.
Article Snippet: Staphylococcus aureus is a major human pathogen that is resistant to numerous antibiotics in clinical use.. We found two nonribosomal peptide secondary metabolites—the aureusimines, made by S. aureus—that are not antibiotics, but function as regulators of virulence factor expression and are necessary for productive infections.. In vivo mouse models of bacteremia showed that strains of S. aureus unable to produce aureusimines were attenuated and/or cleared from major organs, including the spleen, liver, and heart.

Article Title: The MicroRNA Landscapes Profiling Reveals Potential Signatures of Necrotizing Enterocolitis in Infants.
Article Snippet: The purpose of this study is to extract potential signatures involved in necrotizing enterocolitis (NEC).. The data set GSE68054 was acquired from Gene Expression Omnibus repertory, and differentially expressed genes were screened between NEC and control group.. After that, the target prediction analysis and functional enrichment analysis were carried out.

Article Title: mTOR Signaling Pathway Regulates the Release of Proinflammatory Molecule CCL5 Implicated in the Pathogenesis of Autism Spectrum Disorder
Article Snippet: Release of CCL5 in cell culture medium was determined by using specific ELISA kits (R&D Systems, USA) according to the corresponding manufacturer’s protocol and measured at 450nm with ELIZA reader (GloMax-Multi+ Detection System, Promega). .. Microarray transcriptome data were downloaded from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession codes of GSE28521 from postmortem brain tissue and GSE18123 from peripheral blood cells. ..

Biomarker Discovery:

Article Title: Pathogenesis of Alopecia Areata Based on Bioinformatics Analysis
Article Snippet: .. [ ] In the present study, we analyzed gene microarray data from the Gene-Cloud of Biotechnology Information (GCBI) database from patients with AA and from healthy controls to explore the molecular level changes in the skin of patients with AA and the possible underlying molecular causes of AA in order to identify the putative candidates for the early diagnosis and intervention of AA. .. Data from gene chip GSE68801 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE68801 ) were obtained from the GCBI high-throughput data analysis platform using the search term “alopecia areata”, and the data which were submitted by Jabbari et al ., were analyzed on May 12, 2015 using Affymetrix Human Genome U133 Plus 2.0 Array Gene Expression Chip Platform GPL570, and updated on September 15, 2017.

other:

Article Title: Establishment of a prognostic risk model for osteosarcoma and mechanistic investigation
Article Snippet: This study extracted osteosarcoma gene microarray data, including gene expression profiles from six osteosarcoma samples and six normal tissue samples, from the GEO database ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE126209 ) at the National Center for Biotechnology Information (NCBI) in the United States.

Gene Expression:

Article Title: Systematic large-scale meta-analysis identifies miRNA-429/200a/b and miRNA-141/200c clusters as biomarkers for necrotizing enterocolitis in newborn
Article Snippet: .. NEC in newborn-related microarray data were downloaded from Gene Expression Omnibus (GEO) database ( https://www.ncbi.nlm.nih.gov/geo/ ), the sub-database of National Center for Biotechnology Information, amongst which miRNA chip GSE68054 and gene chip GSE46619 were utilized for screening differential expression. ..

Article Title: The MicroRNA Landscapes Profiling Reveals Potential Signatures of Necrotizing Enterocolitis in Infants.
Article Snippet: The purpose of this study is to extract potential signatures involved in necrotizing enterocolitis (NEC).. The data set GSE68054 was acquired from Gene Expression Omnibus repertory, and differentially expressed genes were screened between NEC and control group.. After that, the target prediction analysis and functional enrichment analysis were carried out.

Article Title: mTOR Signaling Pathway Regulates the Release of Proinflammatory Molecule CCL5 Implicated in the Pathogenesis of Autism Spectrum Disorder
Article Snippet: Release of CCL5 in cell culture medium was determined by using specific ELISA kits (R&D Systems, USA) according to the corresponding manufacturer’s protocol and measured at 450nm with ELIZA reader (GloMax-Multi+ Detection System, Promega). .. Microarray transcriptome data were downloaded from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession codes of GSE28521 from postmortem brain tissue and GSE18123 from peripheral blood cells. ..

Quantitative Proteomics:

Article Title: Systematic large-scale meta-analysis identifies miRNA-429/200a/b and miRNA-141/200c clusters as biomarkers for necrotizing enterocolitis in newborn
Article Snippet: .. NEC in newborn-related microarray data were downloaded from Gene Expression Omnibus (GEO) database ( https://www.ncbi.nlm.nih.gov/geo/ ), the sub-database of National Center for Biotechnology Information, amongst which miRNA chip GSE68054 and gene chip GSE46619 were utilized for screening differential expression. ..



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( A ) PCA of global <t>transcriptomic</t> differences. ( B ) Heatmap of globally DEGs when modeled as ~ PDX_ID + RTS. ( C ) Volcano plot of globally DEGs when modeled by ~RTS alone (red text meets cutoffs of log 2 fold change > 2 or < –2, adjusted P < 0.05). ( D ) Circos plot of differentially regulated lncRNAs (red) with their direct DNA binding targets (black) and differentially regulated lncRNAs (blue) with their DNA binding sites.
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( A ) PCA of global <t>transcriptomic</t> differences. ( B ) Heatmap of globally DEGs when modeled as ~ PDX_ID + RTS. ( C ) Volcano plot of globally DEGs when modeled by ~RTS alone (red text meets cutoffs of log 2 fold change > 2 or < –2, adjusted P < 0.05). ( D ) Circos plot of differentially regulated lncRNAs (red) with their direct DNA binding targets (black) and differentially regulated lncRNAs (blue) with their DNA binding sites.
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( A ) PCA of global transcriptomic differences. ( B ) Heatmap of globally DEGs when modeled as ~ PDX_ID + RTS. ( C ) Volcano plot of globally DEGs when modeled by ~RTS alone (red text meets cutoffs of log 2 fold change > 2 or < –2, adjusted P < 0.05). ( D ) Circos plot of differentially regulated lncRNAs (red) with their direct DNA binding targets (black) and differentially regulated lncRNAs (blue) with their DNA binding sites.

Journal: JCI Insight

Article Title: An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases

doi: 10.1172/jci.insight.148717

Figure Lengend Snippet: ( A ) PCA of global transcriptomic differences. ( B ) Heatmap of globally DEGs when modeled as ~ PDX_ID + RTS. ( C ) Volcano plot of globally DEGs when modeled by ~RTS alone (red text meets cutoffs of log 2 fold change > 2 or < –2, adjusted P < 0.05). ( D ) Circos plot of differentially regulated lncRNAs (red) with their direct DNA binding targets (black) and differentially regulated lncRNAs (blue) with their DNA binding sites.

Article Snippet: Of these, existing Affymetrix transcriptomic microarray data were available for 13 PDX lines ( n = 7 sensitive, n = 6 resistant).

Techniques: Binding Assay