PLX218901

GSE79920: Single-nucleus RNA-seq on undifferentiated human KD3 myoblasts and differentiated myotubes and mononucleated cells.

Organsim human
Type RNASEQ
Target gene
Project ARCHS4

We report the application of single-nucleus-based sequencing technology for high-throughput profiling of transcriptome in immortazalized human myoblast KD3. By obtaining over sixty billion bases of sequence from mRNA, we generated comprehensive transcriptome profiles from KD3 undifferentiated myoblast and differentiated multi-nucleated myotube and mono-nucleated cells. We find that the data from single-nucleus RNA-seq is consistent with the transcriptome from single-cell RNA-seq. The pri-mRNA expression characterized by single-nucleus RNA-seq can reflect the actual miRNA level in the whole cell. SOURCE: Weihua Zeng (zwhzjh@yahoo.com) - Mortazavi lab UCIrvine

View on GEO View in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team