Project description:Sickle cell transcriptome was analyzed using whole blood clinical specimens on the Affymetrix Human Exon 1.0 ST arrays and Illumina’s deep sequencing technologies. Data analysis indicated a strong concordance (R=0.64) between exon array and RNA-seq in both gene level and exon level expression of transcripts. The magnitude of fold changes in the expression levels for the differentially expressed genes (p<0.05) was found to be higher in RNA-seq than microarrays. However, the arrays outperformed the sequencing technology in the detection of low abundant transcripts. In addition to examining the expression level changes of transcripts, RNA-seq technology was able to identify sequence variation in the expressed transcripts. We also demonstrate herein the ability of RNA-seq technology to discover novel expression outside of the annotated genes.
Project description:Objective: Detection and analysis of Mongolian medicine Narenmandula the kernel full of adriamycin nephrosis rats kidney tissue expression of miRNA. Methods: The biological information of the differentially expressed miRNA between the normal group, the model group and the Mongolian medicine Narenmandula group was studied by Affymetrix miRNA chip detection. Results: The biological information of miRNA expression in kidney tissues of rats with doxorubicin nephropathy was analyzed by detection, which laid a foundation for further elucidating the multi-target regulatory role of Mongolian medicine Narenmandula in renal function protection and provided data. The biological information of miRNA expression in renal tissues of doxorubicin rats was detected and analyzed using Affymetrix miRNA chip detection technology, which laid a foundation for further elucidating the multi-target regulation effect of the renal function protection and provided data of Mongolian medicine Narenmandula .
Project description:We have sequenced miRNA libraries from human embryonic, neural and foetal mesenchymal stem cells. We report that the majority of miRNA genes encode mature isomers that vary in size by one or more bases at the 3’ and/or 5’ end of the miRNA. Northern blotting for individual miRNAs showed that the proportions of isomiRs expressed by a single miRNA gene often differ between cell and tissue types. IsomiRs were readily co-immunoprecipitated with Argonaute proteins in vivo and were active in luciferase assays, indicating that they are functional. Bioinformatics analysis predicts substantial differences in targeting between miRNAs with minor 5’ differences and in support of this we report that a 5’ isomiR-9-1 gained the ability to inhibit the expression of DNMT3B and NCAM2 but lost the ability to inhibit CDH1 in vitro. This result was confirmed by the use of isomiR-specific sponges. Our analysis of the miRGator database indicates that a small percentage of human miRNA genes express isomiRs as the dominant transcript in certain cell types and analysis of miRBase shows that 5’ isomiRs have replaced canonical miRNAs many times during evolution. This strongly indicates that isomiRs are of functional importance and have contributed to the evolution of miRNA genes Sequence library of miRNAs from a single sample of human foetal mesenchymal stem cells. Results tested and confirmed by northern blotting. Please note that only raw data files are available for the embryonic and neual samples and thus, directly submitted to SRA (SRX547311, SRX548700, respectively under SRP042115/PRJNA247767)
Project description:Sickle cell transcriptome was analyzed using whole blood clinical specimens on the Affymetrix Human Exon 1.0 ST arrays and Illumina’s deep sequencing technologies. Data analysis indicated a strong concordance (R=0.64) between exon array and RNA-seq in both gene level and exon level expression of transcripts. The magnitude of fold changes in the expression levels for the differentially expressed genes (p<0.05) was found to be higher in RNA-seq than microarrays. However, the arrays outperformed the sequencing technology in the detection of low abundant transcripts. In addition to examining the expression level changes of transcripts, RNA-seq technology was able to identify sequence variation in the expressed transcripts. We also demonstrate herein the ability of RNA-seq technology to discover novel expression outside of the annotated genes. This Series contains only the Exon array data. 10 patients and 10 healthy subjects participated in this study. Gene chip experiments were carreid out on 6 patients and 4 healthy controls Human Exon 1.0 ST Arrays
Project description:Expression data of miRNA profile from colorectal cancer and the adjacent normal tissues infected with F. nucleatum. Colorectal cancer(CRC) is among the most common cancer types in the world and one of the most lethal cancers. Fusobacterium nucleatum (F. nucleatum) plays an etiologic role in the development of colorectal cancer, but specific tumor molecules involved in the progression of CRC induced by F. nucleatum is not clear. This study investigated some miRNAs and the genes involved in the progression of F. nucleatum-induced colorectal cancer by Affymetrix miRNA microarray technology. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated and down-regulated genes between Colorectal cancer and the adjacent normal tissues (CONTROL) infected without F. nucleatum . The miRNA array was performed using the affymetrix GeneChip® miRNA 3.0 Array (Affymetrix, Santa Clara, California, United States). The chip was processed using a commercial Affymetrix array service (GeneTech Biotechnology Limited Company, Shanghai, China). The affymetrix GeneChip® miRNA 3.0 Array contains 2,999 probe sets unique to human, mouse and rat pre-miRNA hairpin sequences, 2,216 human snoRNA and scaRNA probe sets and covers 153 organisms (19,724 probe sets). Raw data sets were extracted from all Cel files (raw intensity file) after scanning of slides. These raw data sets were separately analyzed using Expression Console and GeneSpring GX12.5 software followed by differential miRNA expression, fold change & cluster analysis.