Analysis of microRNA transcriptome by deep sequencing of small RNA libraries of peripheral blood
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ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE19833
PROVIDER: PRJNA122049 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR039190.fastq.gz | Fastqsanger.gz | |||
| SRR039191.fastq.gz | Fastqsanger.gz | |||
| SRR039192.fastq.gz | Fastqsanger.gz | |||
| SRR039193.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:MicroRNAs are a class of small non-coding RNAs that regulate mRNA expression at the post-transcriptional level and thereby many fundamental biological processes. A number of methods, such as multiplex polymerase chain reaction, microarrays have been developed for profiling levels of known miRNAs. These methods lack ability to identify novel miRNAs and accurately determine expression at a range of concentration. Deep or massively parallel sequencing methods are providing suitable platforms for genome wide transcriptome analysis and have the ability to identify novel transcripts. The results of analysis of small RNA sequences obtained by Solexa technology of normal peripheral blood mononuclear cells, tumor cell lines K562 (chronic myelogenous leukemia) and HL60 (acute promyelogenous leukemia) are presented. Custom computation pipelines were used to generate expression profiles of known and for identification of novel miRNAs. Some of the highly expressed miRNAs in the leukocytes include several members of the let 7 family, mir-21, 103, 185, 191 and 320a. Comparison of the miRNA profiles of normal versus K562 cells or HL60 revealed a specific set of differentially expressed molecules. Correlation of the miRNA with that of mRNA expression profiles, obtained by microarray, revealed a set of target genes showing inverse correlation with miRNA levels. Our computational pipeline also predicted a number of novel miRNAs. Some of the predictions were validated by realtime RT-PCR and or RNAase protection assay.
2010-05-13 | GSE19812 | GEO
Project description:BACKGROUND: MicroRNAs are a class of small non-coding RNAs that regulate mRNA expression at the post - transcriptional level and thereby many fundamental biological processes. A number of methods, such as multiplex polymerase chain reaction, microarrays have been developed for profiling levels of known miRNAs. These methods lack the ability to identify novel miRNAs and accurately determine expression at a range of concentrations. Deep or massively parallel sequencing methods are providing suitable platforms for genome wide transcriptome analysis and have the ability to identify novel transcripts. RESULTS: The results of analysis of small RNA sequences obtained by Solexa technology of normal peripheral blood mononuclear cells, tumor cell lines K562 and HL60 are presented. In general K562 cells displayed overall low level of miRNA population and also low levels of DICER. Some of the highly expressed miRNAs in the leukocytes include several members of the let-7 family, miR-21, 103, 185, 191 and 320a. Comparison of the miRNA profiles of normal versus K562 or HL60 cells revealed a specific set of differentially expressed molecules. Correlation of the miRNA with that of mRNA expression profiles, obtained by microarray, revealed a set of target genes showing inverse correlation with miRNA levels. Relative expression levels of individual miRNAs belonging to a cluster were found to be highly variable. Our computational pipeline also predicted a number of novel miRNAs. Some of the predictions were validated by Real-time RT-PCR and or RNase protection assay. Organization of some of the novel miRNAs in human genome suggests that these may also be part of existing clusters or form new clusters. CONCLUSIONS: We conclude that about 904 miRNAs are expressed in human leukocytes. Out of these 370 are novel miRNAs. We have identified miRNAs that are differentially regulated in normal PBMC with respect to cancer cells, K562 and HL60. Our results suggest that post - transcriptional processes may play a significant role in regulating levels of miRNAs in tumor cells. The study also provides a customized automated computation pipeline for miRNA profiling and identification of novel miRNAs; even those that are missed out by other existing pipelines. The Computational Pipeline is available at the website: http://mirna.jnu.ac.in/deep_sequencing/deep_sequencing.html.
| S-EPMC2885365 | biostudies-literature
Project description:MicroRNAs are a class of small non-coding RNAs that regulate mRNA expression at the post-transcriptional level and thereby many fundamental biological processes. A number of methods, such as multiplex polymerase chain reaction, microarrays have been developed for profiling levels of known miRNAs. These methods lack ability to identify novel miRNAs and accurately determine expression at a range of concentration. Deep or massively parallel sequencing methods are providing suitable platforms for genome wide transcriptome analysis and have the ability to identify novel transcripts. The results of analysis of small RNA sequences obtained by Solexa technology of normal peripheral blood mononuclear cells, tumor cell lines K562 (chronic myelogenous leukemia) and HL60 (acute promyelogenous leukemia) are presented. Custom computation pipelines were used to generate expression profiles of known and for identification of novel miRNAs. Some of the highly expressed miRNAs in the leukocytes include several members of the let 7 family, mir-21, 103, 185, 191 and 320a. Comparison of the miRNA profiles of normal versus K562 cells or HL60 revealed a specific set of differentially expressed molecules. Correlation of the miRNA with that of mRNA expression profiles, obtained by microarray, revealed a set of target genes showing inverse correlation with miRNA levels. Our computational pipeline also predicted a number of novel miRNAs. Some of the predictions were validated by realtime RT-PCR and or RNAase protection assay. The small RNA population from four samples - Two Normal Peripheral blood mononuclear cells (PBMC) samples, K562 cell line (This cell line is used as a model to study Chronic Myelogenous Leukemia), HL60 (This cell line is used to study acute promyelogenous leukemia) was sequenced using Solexa technology.
2010-05-13 | E-GEOD-19812 | biostudies-arrayexpress
Project description:Peripheral blood stem cell microRNA profiling
| PRJNA109191 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below.
2010-05-13 | GSE19833 | GEO
Project description:MicroRNA (miRNA) and other types of small regulatory RNAs play a crucial role in the regulation of gene expression in eukaryotes. Several distinct classes of small regulatory RNAs have been discovered in recent years. To extend the repertoire of small regulatory RNAs characterized in chickens we used a deep sequencing approach developed by Solexa (now Illumina Inc.). We sequenced three small RNA libraries prepared from different developmental stages of the chicken embryo (days 5, 7, and 9) to produce over 9.5 million short sequence reads. We developed a bioinformatics pipeline to distinguish authentic mature miRNA sequences from other classes of small RNAs and short RNA fragments represented in the sequencing data. Using this approach we detected almost all of the previously known chicken miRNAs and their respective miRNA* sequences. In addition we discovered 449 putative new chicken miRNAs. Of these, 430 miRNAs appear to be specific to the avian lineage. Another 6 new miRNAs had evidence of evolutionary conservation in at least one vertebrate species outside of the bird lineage. The remaining 13 putative miRNAs appear to represent chicken orthologs of known vertebrate miRNAs. We discovered 39 additional putative miRNA candidates originating from miRNA generating intronic sequences known as mirtrons. Keywords: miRNA discovery, mirtrons, chicken embryo
2008-05-12 | GSE10686 | GEO
Project description:MicroRNA (miRNA) and other types of small regulatory RNAs play a crucial role in the regulation of gene expression in eukaryotes. Several distinct classes of small regulatory RNAs have been discovered in recent years. To extend the repertoire of small regulatory RNAs characterized in chickens we used a deep sequencing approach developed by Solexa (now Illumina Inc.). We sequenced three small RNA libraries prepared from different developmental stages of the chicken embryo (days 5, 7, and 9) to produce over 9.5 million short sequence reads. We developed a bioinformatics pipeline to distinguish authentic mature miRNA sequences from other classes of small RNAs and short RNA fragments represented in the sequencing data. Using this approach we detected almost all of the previously known chicken miRNAs and their respective miRNA* sequences. In addition we discovered 449 putative new chicken miRNAs. Of these, 430 miRNAs appear to be specific to the avian lineage. Another 6 new miRNAs had evidence of evolutionary conservation in at least one vertebrate species outside of the bird lineage. The remaining 13 putative miRNAs appear to represent chicken orthologs of known vertebrate miRNAs. We discovered 39 additional putative miRNA candidates originating from miRNA generating intronic sequences known as mirtrons. Keywords: miRNA discovery, mirtrons, chicken embryo 3 samples
2008-05-11 | E-GEOD-10686 | biostudies-arrayexpress
Project description:A comprehensive, cell specific microRNA catalogue of human peripheral blood
2017-08-02 | GSE100467 | GEO
Project description:Erythroid-specific miR-451a and miR-486-5p are two dominant microRNAs (miRNAs) in human peripheral blood-derived small RNA sequencing libraries. Their overabundance reduces diversity as well as complexity of libraries after PCR amplification and consequently causes negative effects such as inaccurate detectability and quantification of other low abundant miRNAs. Here we present a cost-effective and feasible hybridization-based method to deplete these two erythropoietic miRNAs from blood-derived RNA samples
2020-01-28 | GSE138318 | GEO