-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
Step 1: Take 93 samples of E7-E16 for single-cell detection, and construct a cell map;
Step 2: Subpopulation reanalysis of neuron-like cells;
Step 3: Subpopulation reanalysis of non-neuronal cells;
Step 4: Spatial localization validation of single-cell data by ISS assay
1.
A total of 292,495 cells were obtained for single-cell data analysis by single-cell transcriptome sequencing, and a total of 798 cell types were identified by cell type annotation on these cells.
Figure 1 Atlas of the developing mouse brain
The authors then performed a cluster analysis on the cell population in the E7-E8.
Figure 2.
Figure 2.
3.
Next, the authors performed subpopulation reclustering analysis of glial cells and related progenitor cells, mainly including cells expressing neurogenic markers and cells expressing glial markers
4.
Different spatial domains of the developing brain contain various transcriptional signatures of transcription factors
Figure 4 Spatial distribution of cell types and states
Xiaobian summary
In this paper, through single-cell transcriptome sequencing data, we systematically analyze cell types at different stages of brain development, and combine temporal and spatial information to analyze the origin of differentiation of different cells, showing the diversity of mouse embryonic brain transcriptomes , which is a key step in the study of mammalian nervous system development
