Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Single cell RNA-sequencing of Spike-ins and mESC using Smart-Seq2 on 96-well plates


ABSTRACT: In this study, we assess technical differences between commonly used single-cell RNA-Sequencing (scRNA-Seq) methods. We perform scRNA-seq on a homogenous population of mouse embryonic stem cells along with two kinds of control spike-in molecules to assess sensitivity and accuracy of these specific methods. In this dataset, we assess the RNA-degradation and decay rates by subjecting both spike-in molecules to range of repeated freezing and thawing (freeze-thaw) cycles. We manually add spike-in molecules across a 96-well plate (containing cells and reagents), perform Smart-Seq2 method manually and generate single-cell libraries using Nextera XT kit

INSTRUMENT(S): Illumina HiSeq 2500

ORGANISM(S): Mus musculus

SUBMITTER: Guy Emerton 

PROVIDER: E-MTAB-5481 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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