Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA-target RNA pairs revealed by Parallel analysis of RNA ends in Vitis vinifera

ABSTRACT: Vitis vinifera RNA degradome Isolated polyadenylated RNA from total RNA extracts of Vitis vinifera leaves, were ligated to 5'-adapter that include san MmeI recognition site. The ligated products were purified again, reverse transcribed and cleaved with MmeI. The 5' fragments were purified from gel and to a 3'- dsDNA adapter and PCR amplified. After PCR amplification the sample was subjected to Solexa/Illumina high throughput pyrosequencing. Please see www.illumina.com for details of the sequencing technology.

ORGANISM(S): Vitis vinifera

SUBMITTER: Simon Moxon

PROVIDER: E-GEOD-18406 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of grapevine microRNAs and their targets using high-throughput sequencing and degradome analysis.

Pantaleo Vitantonio V Szittya Gyorgy G Moxon Simon S Miozzi Laura L Moulton Vincent V Dalmay Tamas T Burgyan Jozsef J

The Plant journal : for cell and molecular biology 20100601 6

In plants, microRNAs (miRNAs) comprise one of three classes of small RNAs regulating gene expression at the post-transcriptional level. Many plant miRNAs are conserved, and play a role in development, abiotic stress responses or pathogen responses. However, some miRNAs have only been found in certain species. Here, we use deep-sequencing, computational and molecular methods to identify, profile, and describe conserved and non-conserved miRNAs in four grapevine (Vitis vinifera) tissues. A total o ...[more]

PMID: 20230504

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Project description:We determined the genome-wide digital gene expression (DGE) profiles of primary acute lymphoblastic leukemia (ALL) cells from 28 patients and fractionated blood cells from healthy blood donors taking advantage of “second generation” sequencing technology. The patients included in the study represent distinct subtypes of B-cell precursor (BCP) ALL and T-cell lineage ALL (T-ALL) and the controls are fractionated CD19+ and CD3+ cells. Gene expression analysis of 28 ALL patient samples with different immunophenotypic backgrounds including T-ALL (n=4) and patients with BCP ALL with diverse cytogenetic backgrounds: High Hyperploidy (HeH) (n=10), t(9;22) BCR-ABL1 (n=3), t(12;21) ETV6-RUNX1 (n=4), dic(9;20) (n=3), t(1;19)TCF3-PBX1, MLL/11q23 (n=1) and undefined/non-recurrent aberrations (n=1). Fractionated b-cells (CD19+) and t-cells (CD3+) isolated from peripheral blood of healthy donors were used as controls. Sequencing libraries were prepared from 1 µg of total RNA using reagents from the NlaIII Digital Gene Expression Tag Profiling kit (Illumina Inc, San Diego, CA, USA). mRNA was captured on magnetic oligo(dT) beads and reverse transcribed into double-stranded cDNA. The cDNA was cleaved using the restriction enzyme NlaIII. An adapter sequence containing the recognition sequence for the restriction enzyme MmeI was ligated to the NlaIII cleavage sites. The adapter-ligated cDNA was digested with MmeI to release the cDNA from the magnetic bead, while leaving 17 base-pairs of sequence in the fragment. The fragments were dephosphorylated and purified by phenol-chloroform. A second adapter was ligated at the MmeI cleavage sites. The adapter-ligated cDNA fragments were amplified by PCR, and the PCR products were purified on a 6% polyacrylamide gel. The ~96 base pair PCR products were excised from the gel and eluted overnight, followed by ethanol precipitation and re-suspension. Purified libraries were quality controlled and quantified on a Bioanalyzer using DNA 1000 series or High Sensitivity chips. The DGE libraries were diluted to a 10 nM concentration and sequenced on one lane of an Illumina GAII or GAIIx for 18 cycles.

Dataset Information

MicroRNA-target RNA pairs revealed by Parallel analysis of RNA ends in Vitis vinifera

Publications

Identification of grapevine microRNAs and their targets using high-throughput sequencing and degradome analysis.

Similar Datasets

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