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Related Experiment Video

Updated: Mar 3, 2026

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

Human organomics: a fresh approach to understanding human development using single-cell transcriptomics.

J Gray Camp¹, Barbara Treutlein^2,3,4

¹Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.

Development (Cambridge, England)

|May 4, 2017

Summary

This summary is machine-generated.

Single-cell transcriptomics applied to organoids offers new insights into human development and disease. These advanced techniques enable detailed analysis of cellular processes for predictive modeling.

Keywords:

Human development Organogenesis Organoid Pluripotent stem cell Single-cell transcriptomics Transcriptome

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Related Experiment Videos

Last Updated: Mar 3, 2026

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

Author Spotlight: Integrating Single-Cell Transcriptomics with Organoid Cultures for Advanced Research and Therapeutic Insights

Author Spotlight: Integrating Single-Cell Transcriptomics with Organoid Cultures for Advanced Research and Therapeutic Insights

Published on: June 28, 2024

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Area of Science:

Developmental Biology
Stem Cell Research
Genomics

Background:

Pluripotent stem cells are used to model human organogenesis.
Single-cell transcriptomics allows detailed analysis of complex biological systems like organoids.

Purpose of the Study:

To summarize methods for single-cell transcriptomics on organoids.
To discuss the potential and challenges of these techniques for studying human development and disease.

Main Methods:

Single-cell RNA sequencing (scRNA-seq) of organoids.
Bioinformatic analysis of single-cell data to reconstruct lineage trajectories.

Main Results:

Organoid deconstruction reveals cellular composition and differentiation pathways.
Identification of key cell types and states during organoid development.

Conclusions:

Single-cell transcriptomics of organoids provides powerful tools for mechanistic modeling.
These approaches advance the prediction of human developmental and disease phenomena.