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Arraystar inc human smallrna expression microarray
A , B Volcano and heat maps of smallRNAs differentially expressed in cartilage tissues of three normal subjects and three OA patients analyzed using Arraystar Human <t>SmallRNA</t> Expression <t>Microarray;</t> C flow diagram of a rat OA model established by meniscectomy. The illustration is created by Biorender.com; D microCT confirms arthritic symptoms in rats at 16 weeks postoperatively; E the Tb.N, Tb.sp and BV/TV value according to the micro-CT; F – H , HE, PAS, and SAFG staining to detect pathological structural alterations in the cartilage tissues of rat knee joints; I RT-qPCR to detect tRF16 expression in the cartilage tissues of rats at 0, 4, 8, 12, and 16 weeks postoperatively; J RT-qPCR to detect the mRNA levels of Aggrecan, COL2A1, MMP1, and MMP13 in the cartilage tissues of rats; K the correlation between tRF16 expression in the knee joints of OA rats at week 16 and the Mankin score. Each group contained 6-8 rats; the data were presented as dot and whsikers and statistically analyzed using Student t -test or 2-way ANOVA, followed by Tukey’s multiple comparison test for post hoc tests, ** P < 0.01, *** P < 0.001, **** P < 0.0001.
Human Smallrna Expression Microarray, supplied by Arraystar inc, 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/rna+microarray/pmc12141618-23-7-6?v=Arraystar+inc
Average 90 stars, based on 1 article reviews
human smallrna expression microarray - by Bioz Stars, 2026-08
90/100 stars

Images

1) Product Images from "tRF16 affects NFKBIA stability and promotes osteoarthritis progression by regulating ALKBH5 expression in m6A-dependent manner"

Article Title: tRF16 affects NFKBIA stability and promotes osteoarthritis progression by regulating ALKBH5 expression in m6A-dependent manner

Journal: Communications Biology

doi: 10.1038/s42003-025-08299-y

A , B Volcano and heat maps of smallRNAs differentially expressed in cartilage tissues of three normal subjects and three OA patients analyzed using Arraystar Human SmallRNA Expression Microarray; C flow diagram of a rat OA model established by meniscectomy. The illustration is created by Biorender.com; D microCT confirms arthritic symptoms in rats at 16 weeks postoperatively; E the Tb.N, Tb.sp and BV/TV value according to the micro-CT; F – H , HE, PAS, and SAFG staining to detect pathological structural alterations in the cartilage tissues of rat knee joints; I RT-qPCR to detect tRF16 expression in the cartilage tissues of rats at 0, 4, 8, 12, and 16 weeks postoperatively; J RT-qPCR to detect the mRNA levels of Aggrecan, COL2A1, MMP1, and MMP13 in the cartilage tissues of rats; K the correlation between tRF16 expression in the knee joints of OA rats at week 16 and the Mankin score. Each group contained 6-8 rats; the data were presented as dot and whsikers and statistically analyzed using Student t -test or 2-way ANOVA, followed by Tukey’s multiple comparison test for post hoc tests, ** P < 0.01, *** P < 0.001, **** P < 0.0001.
Figure Legend Snippet: A , B Volcano and heat maps of smallRNAs differentially expressed in cartilage tissues of three normal subjects and three OA patients analyzed using Arraystar Human SmallRNA Expression Microarray; C flow diagram of a rat OA model established by meniscectomy. The illustration is created by Biorender.com; D microCT confirms arthritic symptoms in rats at 16 weeks postoperatively; E the Tb.N, Tb.sp and BV/TV value according to the micro-CT; F – H , HE, PAS, and SAFG staining to detect pathological structural alterations in the cartilage tissues of rat knee joints; I RT-qPCR to detect tRF16 expression in the cartilage tissues of rats at 0, 4, 8, 12, and 16 weeks postoperatively; J RT-qPCR to detect the mRNA levels of Aggrecan, COL2A1, MMP1, and MMP13 in the cartilage tissues of rats; K the correlation between tRF16 expression in the knee joints of OA rats at week 16 and the Mankin score. Each group contained 6-8 rats; the data were presented as dot and whsikers and statistically analyzed using Student t -test or 2-way ANOVA, followed by Tukey’s multiple comparison test for post hoc tests, ** P < 0.01, *** P < 0.001, **** P < 0.0001.

Techniques Used: Expressing, Microarray, Micro-CT, Staining, Quantitative RT-PCR, Comparison



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Volcano plots showing the mature miRNAs differentially expressed in the TraxE126A mutants compared to wildtype littermates as identified by (A) miRNA sequencing and (B) miRNA <t>microarray.</t> Volcano plots showing the differentially expressed <t>small</t> <t>RNA</t> species identified using microarray analysis including (C) Precursor miRNAs (pre-miRNAs), (D) Small nucleolar RNAs (snoRNAs), (E) mature tRNAs and (F) tRNA-derived <t>small</t> <t>RNAs</t> (tsRNAs). In all the plots, the upregulated and downregulated miRNAs (false discovery rate, FDR <0.050 and log 2 fold change ≥0.200) are highlighted in red and blue, respectively. (TraxE126A, n=4; WT, n=5, all males). Largest changes were seen in tsRNA levels (majority are 5’-fragments) and mature miRNAs.
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Image Search Results


Volcano plots showing the mature miRNAs differentially expressed in the TraxE126A mutants compared to wildtype littermates as identified by (A) miRNA sequencing and (B) miRNA microarray. Volcano plots showing the differentially expressed small RNA species identified using microarray analysis including (C) Precursor miRNAs (pre-miRNAs), (D) Small nucleolar RNAs (snoRNAs), (E) mature tRNAs and (F) tRNA-derived small RNAs (tsRNAs). In all the plots, the upregulated and downregulated miRNAs (false discovery rate, FDR <0.050 and log 2 fold change ≥0.200) are highlighted in red and blue, respectively. (TraxE126A, n=4; WT, n=5, all males). Largest changes were seen in tsRNA levels (majority are 5’-fragments) and mature miRNAs.

Journal: bioRxiv

Article Title: Genetic inactivation of the Translin/Trax RNase activity alters small RNAs including miRNAs, disrupts gene expression and impairs distinct forms of hippocampal synaptic plasticity and memory

doi: 10.1101/2025.07.10.663777

Figure Lengend Snippet: Volcano plots showing the mature miRNAs differentially expressed in the TraxE126A mutants compared to wildtype littermates as identified by (A) miRNA sequencing and (B) miRNA microarray. Volcano plots showing the differentially expressed small RNA species identified using microarray analysis including (C) Precursor miRNAs (pre-miRNAs), (D) Small nucleolar RNAs (snoRNAs), (E) mature tRNAs and (F) tRNA-derived small RNAs (tsRNAs). In all the plots, the upregulated and downregulated miRNAs (false discovery rate, FDR <0.050 and log 2 fold change ≥0.200) are highlighted in red and blue, respectively. (TraxE126A, n=4; WT, n=5, all males). Largest changes were seen in tsRNA levels (majority are 5’-fragments) and mature miRNAs.

Article Snippet: The labeled RNA species are then hybridized onto Arraystar Small RNA Expression Microarray (8×15K format), scanned by an Agilent G2505C scanner followed by data processing and analysis.

Techniques: Sequencing, Microarray, Derivative Assay

(A) Venn diagram showing the overlap between mature miRNAs identified using miRNA sequencing and microarray analysis (with FDR<0.050 and log 2 fold change ≥0.200). A total of 12 miRNAs (10 upregulated and 2 downregulated) were found to be common and were used for target prediction using miRDB database. (B) An upset plot showing the shared and unique predicted mRNA target profiles in the miRDB database for the 12 common miRNAs. Only targets with miRDB Target Score ≥60 are included. (C) Top 15 KEGG pathways and (D) Gene Ontology (GO) Biological Process terms from the functional enrichment analysis of the predicted targets of the 12 common miRNAs performed using DAVID database.

Journal: bioRxiv

Article Title: Genetic inactivation of the Translin/Trax RNase activity alters small RNAs including miRNAs, disrupts gene expression and impairs distinct forms of hippocampal synaptic plasticity and memory

doi: 10.1101/2025.07.10.663777

Figure Lengend Snippet: (A) Venn diagram showing the overlap between mature miRNAs identified using miRNA sequencing and microarray analysis (with FDR<0.050 and log 2 fold change ≥0.200). A total of 12 miRNAs (10 upregulated and 2 downregulated) were found to be common and were used for target prediction using miRDB database. (B) An upset plot showing the shared and unique predicted mRNA target profiles in the miRDB database for the 12 common miRNAs. Only targets with miRDB Target Score ≥60 are included. (C) Top 15 KEGG pathways and (D) Gene Ontology (GO) Biological Process terms from the functional enrichment analysis of the predicted targets of the 12 common miRNAs performed using DAVID database.

Article Snippet: The labeled RNA species are then hybridized onto Arraystar Small RNA Expression Microarray (8×15K format), scanned by an Agilent G2505C scanner followed by data processing and analysis.

Techniques: Sequencing, Microarray, Functional Assay