Fig. 2: Framework of scRNA-seq meta-analysis integrating multiple datasets. | Nature Communications

Fig. 2: Framework of scRNA-seq meta-analysis integrating multiple datasets.

From: Deciphering cell-type-and temporally specific matrisome expression signatures in human cortical development and neurodevelopmental disorders via scRNA-seq meta-analysis

Fig. 2: Framework of scRNA-seq meta-analysis integrating multiple datasets.

a Overview of the processing pipeline for scRNA-seq meta-data. Illustration created in BioRender. Gim, D. (2025) https://BioRender.com/z11x100. b Dot plot representation of each study’s contribution to the meta-dataset across different gestational weeks. The proportion of cells is indicated by dot size, while the raw number of cells is represented by a color scale. c Distribution of scRNA-seq data from each study on the meta-data UMAP. The integration Local Inverse Simpson’s Index (iLISI) for the meta-dataset is 2.004. d UMAP visualization of the integrated and clustered dataset, annotated and color-coded by 12 cell types. The cell type Local Inverse Simpson’s Index (cLISI) for the meta-dataset is 1.273. e Dot plot representation of the expression of canonical markers for each cell type. Dot size indicates the percentage of cells expressing the gene, while dot color represents the average expression level.

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