five

Identification of SMXL4- and SMXL5-dependent genes in comparison to the SMAX1-dependent genes

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NIAID Data Ecosystem2026-03-14 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71517
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We used RNA-seq to generate the transcriptional profile of 7 days old WT, smxl5-1, smxl4-1 smxl5-1 and smax1-2 Arabidopsis mutant seedlings. We then used statistical analysis to identify differentially expressed genes that potentially contribute to the smxl5-1, smxl4-1 smxl5-1 and smax1-2 mutant phenotype. RNA from three replicates each of WT and smxl5-1, smxl4-1 smxl5-1 and smax1-2 mutants were sequenced and differentially expressed genes were identified by using the DESeq2 package.
创建时间:
2022-10-02
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