Isoform cell-type specificity in the mouse primary motor cortex.
Ali Sina BooeshaghiZizhen YaoCindy T J van VelthovenKimberly A SmithBosiljka TasicHongkui ZengLior PachterPublished in: Nature (2021)
Full-length SMART-seq1 single-cell RNA sequencing can be used to measure gene expression at isoform resolution, making possible the identification of specific isoform markers for different cell types. Used in conjunction with spatial RNA capture and gene-tagging methods, this enables the inference of spatially resolved isoform expression for different cell types. Here, in a comprehensive analysis of 6,160 mouse primary motor cortex cells assayed with SMART-seq, 280,327 cells assayed with MERFISH2 and 94,162 cells assayed with 10x Genomics sequencing3, we find examples of isoform specificity in cell types-including isoform shifts between cell types that are masked in gene-level analysis-as well as examples of transcriptional regulation. Additionally, we show that isoform specificity helps to refine cell types, and that a multi-platform analysis of single-cell transcriptomic data leveraging multiple measurements provides a comprehensive atlas of transcription in the mouse primary motor cortex that improves on the possibilities offered by any single technology.
Keyphrases
- single cell
- rna seq
- high throughput
- induced apoptosis
- gene expression
- cell cycle arrest
- stem cells
- genome wide
- cell death
- dna methylation
- copy number
- oxidative stress
- signaling pathway
- transcription factor
- machine learning
- endoplasmic reticulum stress
- binding protein
- mesenchymal stem cells
- deep learning
- pi k akt
- data analysis