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Protocol for differential multi-omic analyses of distinct cell types in the mouse cerebral cortex
Durga Praveen Meka1, Melanie Richter1, Tabitha Rücker1
1RG Neuronal Development, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
STAR Protocols
|December 29, 2023
Summary
This study details a protocol for analyzing cell types in the developing mouse brain using multi-omic approaches. It enables comparisons of proteomes and transcriptomes in distinct cortical cell populations.
Area of Science:
- Neuroscience
- Developmental Biology
- Genomics & Proteomics
Background:
- Understanding cell-type-specific molecular changes is crucial for studying brain development.
- Existing methods may not efficiently isolate and analyze distinct cell populations from the developing cerebral cortex.
Purpose of the Study:
- To present a comprehensive protocol for differential multi-omic analyses of distinct cell types in the developing mouse cerebral cortex.
- To enable comparisons of proteomes and transcriptomes in specific cortical cell populations following experimental manipulations.
Main Methods:
- In utero electroporation for cell labeling.
- Flow-cytometry-based isolation of specific developing mouse cortical cells.
- Bulk RNA sequencing and quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) for multi-omic data generation.
- Bioinformatic analyses for differential expression analysis.
Main Results:
- The protocol successfully integrates cell isolation with high-throughput sequencing and mass spectrometry.
- It allows for the generation of both transcriptomic and proteomic data from defined cell populations.
- Demonstrates applicability for comparing molecular profiles after epigenetic modifications.
Conclusions:
- This protocol provides a robust framework for multi-omic analysis of distinct cell types during cortical development.
- It facilitates the investigation of cell-type-specific molecular mechanisms underlying brain development and disease.
- The method is adaptable for various experimental manipulations, enhancing its utility in neuroscience research.

