Data

Extracellular vesicle miRNAs from three-dimensional ovarian cancer in vitro models and their implication in overall cancer survival.

The University of Queensland
Dr Dominic Guanzon (Aggregated by) Dr Dominic Guanzon (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/712cbf3&rft.title=Extracellular vesicle miRNAs from three-dimensional ovarian cancer in vitro models and their implication in overall cancer survival.&rft.identifier=RDM ID: bd95cf58-b251-40f0-9d7f-9f8a53eba312&rft.publisher=The University of Queensland&rft.description=This dataset contains the FASTQ data and raw microRNA counts of cells and their EVs in 2D and 3D culture conditions, as well as human plasma EVs from normal, benign and ovarian cancer patients. Extracellular vesicles (EVs) from media was isolated using differential ultracentrifugation, while EVs from plasma was isolated using EXO-NET. The extracted RNA was processed to generate small RNA libraries, using the NEXTFLEX® Small RNA-seq v3 Kit with UDI's. The libraries were quantified using the KAPA Library Quantification Kit and libraries pooled in equimolar quantities. The pooled library was sequenced with the following conditions, single index 8bp read and 76bp for read 1, using High Output 75 cycle kit on NextSeq 500.&rft.creator=Dr Dominic Guanzon&rft.creator=Dr Dominic Guanzon&rft.date=2024&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Bioinformatics and computational biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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UQ Centre for Clinical Research

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This dataset contains the FASTQ data and raw microRNA counts of cells and their EVs in 2D and 3D culture conditions, as well as human plasma EVs from normal, benign and ovarian cancer patients. Extracellular vesicles (EVs) from media was isolated using differential ultracentrifugation, while EVs from plasma was isolated using EXO-NET. The extracted RNA was processed to generate small RNA libraries, using the NEXTFLEX® Small RNA-seq v3 Kit with UDI's. The libraries were quantified using the KAPA Library Quantification Kit and libraries pooled in equimolar quantities. The pooled library was sequenced with the following conditions, single index 8bp read and 76bp for read 1, using High Output 75 cycle kit on NextSeq 500.

Issued: 06 09 2024

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Biological Sciences | Biomedical and Clinical Sciences | Bioinformatics and Computational Biology | eng |

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