Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA371503 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Systematic assessment of next-generation sequencing for quantitative small RNA profiling: synthetic equimolar pool
| PRJNA371514 | ENA
Project description:Systematic assessment of next-generation sequencing for quantitative small RNA profiling: synthetic ratiometric pools
| PRJNA371517 | ENA
Project description:Systematic assessment of next-generation sequencing for quantitative small RNA profiling: A-to-I editing pools
| PRJNA422572 | ENA
Project description:Systematic assessment of next-generation sequencing for quantitative small RNA profiling: a multiple protocol study across multiple laboratories
| PRJNA371516 | ENA
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare the small RNA profile of healthy and myeloma plasma cells derived from non cancer donors and newly diagnosed myeloma patients Methods: Plasma Cell small RNA profiles of 3 healthy plasma cells and 3 newly diagnosed myeloma patients were generated by deep sequencing, using Illumina GAIIx. Conclusions: Our study represents the first detailed analysis of small RNA sequencing in plasma cells. 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 quantitative and qualitative evaluation of small RNA content within the healthy and myeloma plasma cells.
2018-02-28 | GSE95539 | GEO
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis Examination library method on preparation of equimolar pool of miRNAs, three replicates
2009-07-28 | E-GEOD-16372 | biostudies-arrayexpress
Project description:We report the presence of Onchocerca ochengi and O. volvulus derived small RNAs in bovine nodule fluids and human serum and plasma, respectively. Further comparisons with other related filarial nematodes like Litomosoides sigmodontis and Dirofilaria immitis reveal common and distictive signatures associated to the Onchocerca species. Examination of small RNA content in bovine nodule fluids and human serum/plasma by Next Generation sequencing
2015-04-24 | E-GEOD-63933 | biostudies-arrayexpress
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis Examination library method on preparation of equimolar pool of miRNAs, three replicates, sequenced on Illumina GA II
2009-07-28 | E-GEOD-16373 | biostudies-arrayexpress
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis Examination of three different library preparation methods for small RNAs, two replicates per library method
2009-07-28 | E-GEOD-16370 | biostudies-arrayexpress
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis Examination of three different library preparation methods for small RNAs, two replicates per library method
2009-07-28 | E-GEOD-16369 | biostudies-arrayexpress