Related Experiment Video
Updated: May 30, 2026

08:30
Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
Published on: January 7, 2020
Analysis of the dynamics of limb transcriptomes during mouse development.
Istvan Gyurján1, Bernhard Sonderegger, Felix Naef
1School of Life Sciences, Ecole Polytechnique Fédérale, Station 19, Lausanne, 1215 Switzerland.
BMC Developmental Biology
|August 2, 2011
Summary
This study maps mouse limb bud transcriptomes during development. These genome-wide transcriptional data offer insights into gene regulation and developmental processes.
Area of Science:
- Developmental Biology
- Genomics
- Transcriptomics
Background:
- Vertebrate limb development is a model for studying ontogenesis, gene regulation, and evolutionary variations.
- Limb development involves spatial cell coordination, morphogenetic molecules, and gene-to-morphogenesis translation.
- Limb malformations are common in humans, and limb variations offer insights into the regulatory genome.
Purpose of the Study:
- To create a reference resource for biochemical and genetic analyses of mouse limb bud development.
- To establish genome-wide transcriptomes at key developmental stages.
- To analyze transcriptome dynamics and intergenic transcriptional activity.
Main Methods:
- Genome-wide tiling arrays were used to profile transcriptomes.
- Mouse limb buds were analyzed at three distinct developmental stages.
- Transcriptomic data were compared across time points.
Main Results:
- Comprehensive transcriptomes of mouse limb buds were generated at three developmental stages.
- Analysis revealed transcriptome dynamics during limb development.
- Potential associations between active genes and intergenic transcriptional activity were explored.
Conclusions:
- The generated datasets serve as a valuable resource for studying gene expression and regulation in developing limbs.
- These data provide examples of tissue-specific, genome-wide transcriptional activities.
- This resource supports future research in developmental biology and genomics.

