Fig. 1: Overview of study design and single-cell RNAseq dataset. | Nature Communications

Fig. 1: Overview of study design and single-cell RNAseq dataset.

From: Single-cell atlas of human lung aging identifies cell type dyssynchrony and increased transcriptional entropy

Fig. 1: Overview of study design and single-cell RNAseq dataset.

A Single-cell RNAseq data (and bulk RNAseq validation data) were used to determine cell-type proportions and cell-type-specific signatures. Signatures associated with aging and cellular senescence were identified and validated using immunohistochemistry. Somatic mutations were called from RNAseq datasets, and transcriptional changes were identified. B Integrated single-cell RNAseq dataset included 25 cell types from two datasets. C Cell-type marker genes for each annotated cell type (top). Age distribution, sex distribution, and sources of data (bottom). Source data are provided as a Source Data file. Created in BioRender. https://BioRender.com/aedhfrp.

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