- WBPaper00005124:progesterone_10-5M_regulated
The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
Genes up or down regulated by 10e-05M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
- WBPaper00005124:cholesterol_10-9M_regulated
The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
Genes up or down regulated by 10e-09M of cholesterol . The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
- WBPaper00005124:progesterone_10-9M_regulated
The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
Genes up or down regulated by 10e-09M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
- WBPaper00005124:progesterone_10-7M_regulated
The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
Genes up or down regulated by 10e-07M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
- WBPaper00005124:testosterone_10-9M_regulated
The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
Genes up or down regulated by 10e-09M of testosterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
- WBPaper00005124:estrogen_10-5M_regulated
The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
Genes up or down regulated by 10e-05M of estrogen. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.
- WBPaper00059567:olrn-1(ums9)_regulated
The Ballgown package from the Bioconductor software suite (version 3.8) was used to run a custom R script in R console(R Version 3.5) to analyze the differential gene expression, visualize the data, and perform statistical tests for differential expressionwith multiple test correction. A gene was considered to be differentially regulated if its fold change versus wild-type was greater thantwo, the adjusted p value was less than 0.05, and its RPKM was greater than one.
Transcripts that showed significantly altered expression in olrn-1(ums9) comparing to in N2 animals.
- WBPaper00044037:eat-2_upregulated
The criteria for differential gene regulation included a greater than 1.5-fold change in expression compared to wild-type, a false discovery rate less than 0.05, and greater than 10 reads when normalized to the base mean. Statistical analysis and drawing of plots was performed in R using the bioconductor package Deseq (Anders, Huber 2010) and R function gplots.
Genes with significantly increased expression in eat-2(ad465) comparing to N2.
- WBPaper00044037:eat-2_downregulated
The criteria for differential gene regulation included a greater than 1.5-fold change in expression compared to wild-type, a false discovery rate less than 0.05, and greater than 10 reads when normalized to the base mean. Statistical analysis and drawing of plots was performed in R using the bioconductor package Deseq (Anders, Huber 2010) and R function gplots.
Genes with significantly decreased expression in eat-2(ad465) comparing to N2.
- WBPaper00064291:antimycin_upregulated
The Deseq2 package in R 3.6.3 was used for differential expression analysis. Fold change > 2, FDR < 0.05.
Transcripts that showed significantly increased expression in N2 animals exposed to 0.3uM Antimycin A since L1 larva stage.