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Coexpression enhances cross-species integration of scRNA-seq across diverse plant species.

Michael John PassalacquaJonathan M Werner
Published in: bioRxiv : the preprint server for biology (2023)
Single-cell RNA sequencing is increasingly used to investigate cross-species differences driven by gene expression and cell-type composition in plants. However, the frequent expansion of plant gene families due to whole genome duplications makes identification of one-to-one orthologs difficult, complicating integration. Here, we demonstrate that coexpression can be used to identify non-orthologous gene pairs with proxy expression profiles, improving the performance of traditional integration methods and reducing barriers to integration across a diverse array of plant species.
Keyphrases
  • single cell
  • gene expression
  • genome wide
  • rna seq
  • high throughput
  • dna methylation
  • copy number
  • network analysis
  • genetic diversity
  • high density