Passalacqua, Michael John, Gillis, Jesse (June 2024) Coexpression enhances cross-species integration of single-cell RNA sequencing across diverse plant species. Nature Plants. ISSN 2055-0278 (Public Dataset)
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Abstract
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 orthologues difficult, complicating integration. Here we demonstrate that coexpression can be used to trim many-to-many orthology families down to identify one-to-one 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.
| Item Type: | Paper |
|---|---|
| Subjects: | bioinformatics bioinformatics > genomics and proteomics organism description > plant |
| CSHL Authors: | |
| Communities: | CSHL labs > Gillis Lab |
| SWORD Depositor: | CSHL Elements |
| Depositing User: | CSHL Elements |
| Date: | 27 June 2024 |
| Date Deposited: | 01 Jul 2024 13:26 |
| Last Modified: | 01 Oct 2024 17:47 |
| PMCID: | PMC11266096 |
| Related URLs: | |
| Dataset ID: | |
| URI: | https://repository.cshl.edu/id/eprint/41588 |
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