Optimizing reference gene selection for accurate gene expression analysis in plants
Zili Xiong, Cunnian Fu, Shaoyong Huang, Jianlei Shi · 2025
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Description
Zili Xiong, Cunnian Fu, Shaoyong Huang, and Jianlei Shi published a 2025 review of how to choose reference genes for plant gene-expression studies. Every such study needs stable yardstick genes, and classics like GAPDH and actin often wobble under stress, across tissues, or through development. The authors survey how multi-omics data, above all RNA sequencing, now let researchers find genes that stay steady in the exact conditions at hand.
Computational tools standardize the hunt, and condition-specific reference databases are emerging. The review weighs current trends and remaining challenges in the transcriptomics approach. The authors argue better yardsticks mean more trustworthy expression results. That, in turn, speeds crop improvement and stress-resilience research.
Catalog record
| CREATOR | Zili Xiong, Cunnian Fu, Shaoyong Huang, Jianlei Shi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |