Project description:Purpose: We are using the illumina sequencing to compare the false positive and true positive circular RNA findings to confine the method to detect the true circular RNAs Methods: The testis whole transcriptome profiling was generated from 4-week mouse testis using illumina Nextseq, duplicated. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Results: our data suggest that circular RNAs identified based on junction sequences in the RNA-seq reads, especially those from Illumina Hiseq sequencing, mostly result from template-switching events during reverse transcription by MMLV-derived reverse transcriptases. It is critical to employ reverse transcriptases lacking terminal transferase activity (e.g., MonsterScript) to construct sequencing library or perform RT-PCR for identification and quantification of true circular RNAs. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. The wild type mouse testis RNAs were constructed NGS library by two different enzyme, then parallel sequenced in illumina Nextseq
Project description:Purpose: We are using the illumina sequencing to compare the false positive and true positive circular RNA findings to confine the method to detect the true circular RNAs Methods: The testis whole transcriptome profiling was generated from 4-week mouse testis using illumina Nextseq, duplicated. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Results: our data suggest that circular RNAs identified based on junction sequences in the RNA-seq reads, especially those from Illumina Hiseq sequencing, mostly result from template-switching events during reverse transcription by MMLV-derived reverse transcriptases. It is critical to employ reverse transcriptases lacking terminal transferase activity (e.g., MonsterScript) to construct sequencing library or perform RT-PCR for identification and quantification of true circular RNAs. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
Project description:We deep-sequenced small RNAs after immunoprecipitation of Mili or Miwi, as well as total small RNA from adult mouse testis. The goal of this experiment is to more deeply characterize the piRNA pool from adult mouse testes, using the Illumina platform.
Project description:By combining deep sequencing with high-throughput quantitative RT-PCR, we reveal that somatic splicing profiles are reorganized to pluripotent splicing profiles during reprogramming from mouse embryonic fibroblasts (MEFs) to induced pluripotent stem (iPS) cells. The splicing pattern in pluripotent stem cells resembles that in testis, and the regulatory regions have specific characters in length and sequence. These results indicate that the dynamic alteration in splicing is an integral part of the molecular network involved in the reprogramming process.
Project description:Most human pre-mRNAs are spliced into linear molecules that retain the exon order defined by the genomic sequence. By deep sequencing of RNA from a variety of normal and malignant human cells, we found RNA transcripts from many human genes in which the exons were arranged in a non-canonical order. Statistical estimates and biochemical assays provided strong evidence that a substantial fraction of the spliced transcripts from hundreds of genes are circular RNAs. Our results suggest that a non-canonical mode of RNA splicing, resulting in a circular RNA isoform, is a widespread and perhaps general feature of the gene expression program in human cells. 3 samples of non-malignant primary human leukocytes, one replicate each
Project description:We have used RNA-seq to examine circular RNAs from poly(A)-/ribo- RNAs in human and mouse embryonic stem cells In order to identify novel circular RNAs from different species
Project description:Goal: To identify small RNA associated with the decision of undifferentiated spermatogonia to commit to a pathway of differentiation. Methods: testis small RNA profiles of 6 juvenile wild-type rhesus monkeys (3 vehicle-treated; 3 gonadotropin treated) were generated by deep sequencing, in triplicate, using Ion Torrent. The sequence reads that passed filters were analyzed with miRDeep2, HTSeq counts and edgeR. qRT–PCR validation was performed using SYBR Green assays Results: We mapped about 3 million sequence reads per sample to the rhesus monkey genome (rheMac 2 and rheMac 8.0.1) and identified 932 small RNAs in the testes of wild type monkeys with Bowtie and miRDeep2 workflow. Approximately a combined 7% of unique transcripts showed differential expression between vehicle and gonadotropin treatment for 48 and 96h, with a fold change ≥1.5 and p value <0.05. Altered expression of 12 genes was confirmed with qRT–PCR, substantiating the RNA-seq findings. Conclusions: The testis transcriptome of the juvenile monkey contained 932 non coding smallRNA. Gonadotropin stimulation for 48 h resulted in the commitment of spermatogonia to differentiate and this was associated with the emergence of 51 differentially expressed genes. Funding support: NIH R01 HD072189 to Tony Plant
Project description:Total RNA was extracted from SLK cells that constitutively express select KSHV circular RNAs, and transcriptome analysis was performed by deep-sequencing (PE150).
Project description:We deep-sequenced small RNAs after immunoprecipitation of Mili or Miwi, as well as total small RNA from adult mouse testis. The goal of this experiment is to more deeply characterize the piRNA pool from adult mouse testes, using the Illumina platform. Comparison of 2 IP libraries with a non-IP library