PLX183874

GSE103154: Tracing the temporal-spatial transcriptomic landscapes of the human fetal digestive tract by single cell RNA-seq analysis [adult tissues]

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Here, using a modified STRT-seq protocol, we analyzed the large intestine (LI) from two adults.In detail, the total 1891 single cells were picked from two adults LI. After the same rigorous filtration as fetal, 1463 individual cells were used for subsequent analysis. We identified 18 cell types including all main cell types existed in intestine such as enterocyte, goblet cell, enteroendocrine, Paneth cell, stem cell and immune cell. Take advantage of single cell RNA sequencing, we found that there were subtypes existed in some cell types. Subsequently, combined with our previous fetal data, we investigate the transcriptomic similarity and difference between human from fetal to adult. The transcriptome feature and development process from fetal to adult were revealed for the first time at single-cell resolution. SOURCE: Rui WANG (fish_cat_wr@sina.cn) - Fuchou Tang Peking University

View on GEOView 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