Project description:Purpose: The goals of this study are to obtain the NGS-derived transcriptome profiling (RNA-seq) for THP-1 macrophages response to Mycobacterium tuberculosis (H37Rv and H37Ra) Methods: mRNA and long noncoding RNA profiles of THP-1 macrophages infected with H37Rv and H37Ra for 1, 4, 12, 24, 48 hours were generated by deep sequencing, using Illumina Hiseq3000. The sequence reads that passed quality filters were first mapped to the latest UCSC transcript set using Bowtie2 (version 2.1.0). Then the gene expression level was estimated using RSEM (RNA-Seq by Expectation Maximization, v1.2.15), for lncRNA analysis, reads were mapped to lncRNA transcript set from LNCipedia.org. The sequence reads were normalized with TMM (trimmed mean of M-values) to identify differentially expressed genes (DEGs) using the edgeR package edgeR. qRT–PCR validation was performed using SYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 20 million sequence reads per sample to the human genome (GRCh38/hg38) and identified 25,343 mRNA and 47877 long non-coding RNA transcripts. Conclusions: Our study represents the detailed analysis of transcriptomes for THP-1 macrophages response to H37Rv and H37Ra, generated by RNA-seq technology.
Project description:Purpose: The goals of this study are to obtain the NGS-derived transcriptome profiling (RNA-seq) for THP-1 macrophages response to early secreted antigenic target 6-KDa (ESAT6) from Mycobacterium tuberculosis Methods: mRNA profiles of THP-1 macrophages treated with ESAT6 were generated by deep sequencing, using Illumina Hiseq3000. The sequence reads that passed quality filters were first mapped to the latest UCSC transcript set using Bowtie2 (version 2.1.0). Then the gene expression level was estimated using RSEM (RNA-Seq by Expectation Maximization, v1.2.15), and normalized with TMM (trimmed mean of M-values) to identify differentially expressed genes (DEGs) using the edgeR package edgeR. qRT–PCR validation was performed using SYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 23 million sequence reads per sample to the human genome (GRCh38/hg38) and identified 25,343 transcripts. Conclusions: Our study represents the first detailed analysis of transcriptomes for macrophages response to ESAT6, generated by RNA-seq technology.
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:Purpose: The goals of this study are to obtain the NGS-derived transcriptome profiling (RNA-seq) for THP-1 macrophages, which were stimulated from phagosome with early secreted antigenic target 6-KDa (ESAT6) Methods: First we fabricated a nanocapsule enclosing ESAT6 (nESAT6) and a nanocapsule enclosing BSA (nBSA) as control. mRNA profiles of THP-1 macrophages treated with nESAT6 were generated by deep sequencing, using Illumina Hiseq3000. The sequence reads that passed quality filters were first mapped to the latest UCSC transcript set using Bowtie2 (version 2.1.0). Then the gene expression level was estimated using RSEM (RNA-Seq by Expectation Maximization, v1.2.15), and normalized with TMM (trimmed mean of M-values) to identify differentially expressed genes (DEGs) using the edgeR package edgeR. qRT–PCR validation was performed using SYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 23 million sequence reads per sample to the human genome (GRCh38/hg38) and identified 25,343 transcripts. Conclusions: Our study represents the first detailed analysis of transcriptomes for macrophages response to ESAT6 stimulation in phagosome, generated by RNA-seq technology.