|
|
Genes found to be regulated by low-copy overexpression of sir-2.1 with p < 0.014. |
N.A. |
WBPaper00026929:sir-2.1_overexpression_regulated
|
|
|
Germline-enriched and sex-biased expression profile cluster C. |
hierarchical clustering |
[cgc6390]:Cluster_C
|
|
|
Genes found to be regulated in daf-16(mgDf50) by resveratrol treatment with p < 0.01. |
N.A. |
WBPaper00026929:Resveratrol_regulated_daf-16
|
|
|
Genes with differential expression under 0.5mg/l Chlorpyrifos (CPF) treatment at 16 centigrade. |
To identify the differentially expressed genes in each treatment authors used linear models per toxicant and temperature (gene expression = Toxicant (effect) + error). The lm function in R stats package was used to implement the linear models analysis with recommended default options. For threshold determination authors used a permutation approach. For each of the 23,232 permutations used authors randomly picked a transcript (array spot), which could only be picked once. Authors combined all the expression values of this transcript and randomly distributed them over the replicates and used them in the linear model. In this way authors obtained a threshold for each of the toxicants. Authors used a -log10 p-value 2 as common threshold for the analysis, which resembles to the following FDR per toxicant: 0.0155 for CPF at 24 centigrade, 0.0148 for DZN at 24 centigrade, 0.0168 for CPF+DZN at 24 centigrade, 0.0142 for CPF at 16 centigrade, 0.0151 for DZN at 16 centigrade, and 0.0148 for CPF+DZN, at 16 centigrade. |
WBPaper00040210:Chlorpyrifos_16C_regulated
|
|
|
Genes enriched in intestine. |
To identify genes that are significantly enriched by mRNA tagging, we first normalized the total amount of Cy3 and Cy5 signal to each other in each hybridization. We measured the ratio of the signals from the co-immunoprecipitated mRNA (Cy5) to total RNA in the cell extract (Cy3), and calculated the percentile rank for each gene relative to all genes in each hybridization. The mean percentile rank was determined from eight repeats of the mRNA-tagging experiment. Student's t-test was used to determine which genes showed a mean enrichment significantly greater than the median enrichment for all genes (P<0.001). |
WBPaper00026980:intestine_enriched
|
|
|
Transcripts that showed significantly decreased expression in ash-2(RNAi) comparing to in wild type animals injected with vector. |
Differential mRNA expression using DESeq2. mRNAs with a FDR < 0.05 and fold change > 2 considered differentially expressed. |
WBPaper00066232:ash-2(RNAi)_downregulated_WT
|
|
|
Transcripts with significantly decreased expression after treatment with 0.1mM paraquat vs. control |
Comparisons of each genotype were compared to the wild-type using the Empirical Base (Wright & Simon) algorithm and fold changes were represented on a log2 scale. A threshold of p < 0.05 and a fold change of 1.3 (log2) was set to determine differentially expressed targets. |
WBPaper00045263:0.1mM-paraquat_downregulated
|
|
|
Transcripts with significantly decreased expression in isp-1(qm150) vs. N2, and in isp-1(qm150)ced-4(n1162) vs. ced-4(n1162). |
Comparisons of each genotype were compared to the wild-type using the Empirical Base (Wright & Simon) algorithm and fold changes were represented on a log2 scale. A threshold of p < 0.05 and a fold change of 1.3 (log2) was set to determine differentially expressed targets. |
WBPaper00045263:isp-1(qm150)_downregulated
|
|
|
Transcripts with significantly decreased expression in nuo-6(qm200) vs. N2, and in nuo-6(qm200);ced-4(n1162) vs. ced-4(n1162). |
Comparisons of each genotype were compared to the wild-type using the Empirical Base (Wright & Simon) algorithm and fold changes were represented on a log2 scale. A threshold of p < 0.05 and a fold change of 1.3 (log2) was set to determine differentially expressed targets. |
WBPaper00045263:nuo-6(qm200)_downregulated
|
|
|
Transcripts with significantly decreased expression under all of these conditions |
Comparisons of each genotype were compared to the wild-type using the Empirical Base (Wright & Simon) algorithm and fold changes were represented on a log2 scale. A threshold of p < 0.05 and a fold change of 1.3 (log2) was set to determine differentially expressed targets. |
WBPaper00045263:ProLongevity-mtROS_downregulated
|
|
|
Expression Pattern Group E, enriched for genes involved in dephosphorylation. |
The significance (P 0.0001) of the relative age (time) was used to determine if a gene was differentially expressed between the three age (time) groups. The effect of this factor explaining gene expression differences was used to determine if the expression went up or down during the two age/time periods (t1 - t2 and t2 -t3). Authors used a permutation approach to determine the thresholds for the different mapping strategies. For each of the used models for eQTL mapping, authors used 23,000 permutations. For each permutation, authors randomly picked a spot; each spot could only be picked once. The gene expression and relative lifespan values were than randomly distributed over the RILs (and time points) and used for mapping. In this way, authors obtained a threshold for each of the explaining factors. For the single time points, authors used a FDR of 0.01 to adjust for multiple testing. The genome-wide threshold for this FDR is -log10 P = 3.8 for each of the three time points. For the combined models (t1 to t2 and t2 to t3), authors used a genome-wide threshold of -log10 P = 4, which resembles an FDR of 0.006, 0.001, and 0.006 for marker, age, and the interaction between marker and age, respectively. To determine the threshold for the single gene examples, authors used 1000 permutations as in the genome-wide threshold. The difference is that they use the gene under study in all of the permutations. The P-values for the gene specific thresholds were determined at FDR = 0.05. |
WBPaper00036286:Pattern_E
|
|
|
Genes that showed significantly decreased expression after exposure to adsorbable organic bromine compounds (AOBr) contained in M. aeruginosa batch culture. |
Differentially expressed genes (DEGs) were identified with a random variance t-test and a significance analysis of microarrays (SAM) test. Genes were considered statistically significant if their p-value was less than 0.05, the false discovery rate less than 0.3, and the fold change compared to control at least <= 0.67 or >=1.5. |
WBPaper00046853:AOBr_M.aeruginosa-batch-culture_downregulated
|
|
Bacteria infection: Serratia marcesens |
Genes down-regulated in animals infected with Serratia marcesens compared to the E. coli OP50 control after 24h of infection. |
MAANOVA and BRB-Array-Tools. |
WBPaper00030985:Serratia_marcesens_downregulated
|
|
|
Genome-wide analysis of developmental and sex-regulated gene expression profile. |
self-organizing map |
cgc4489_group_15
|
|
|
Genes that showed significantly changed expression during aging (ANOVA, p < 0.0001) |
ANOVA, p < 0.0001. |
WBPaper00032062:age_regulated_genes
|
|
|
Genes that showed decreased expression after 50uM DBAA treatment comparing with control. |
Differentially expressed genes (DEGs) were identified with a random variance t test and a significance analysis of microarrays (SAM) test. Genes were considered statistically significant if their p value was less than 0.05, the false discovery rate less than 0.3 and the fold change compared to control at least <= 0.67 or >= 1.5. |
WBPaper00045294:50uM_DBAA_downregulated
|
|
|
Genes up regulated in aak-2 over expression line uthIs202[Paak-2c |
To identify genes that were significantly differentially expressed between each mutant and the control, linear modelling and empirical Bayes analysis was performed using the limma package. Limma computes an empirical Bayes adjustment for the t-test (moderated t-statistic), which is more robust than the standard two-sample t-test comparisons. To correct for multiple testing, Benjamin and Hochbergs method to control for false discovery rate was used. Genes with an adjusted P value of 0.05 or smaller and a fold-change in expression larger than twofold were considered differentially expressed. |
WBPaper00038172:aak-2overexpression_up_regulated
|
|
|
hermaphrodite soma-enriched |
Comparisons were made between genotypes by subtracting the mean log value of one ratio from another, and the significance of the difference was evaluated using Student t-test for two populations. For the fem-3(gf) versus fem-1(lf) direct comparison, authors performed the same analysis, except they used a Students t-test for one population. Author chose a combination of a twofold difference with a t value exceeding 99% confidence (P < 0.01), because these criteria allowed the inclusion of essentially all genes that had previously been identified as germline-enriched in a wt/glp-4 hermaphrodite comparison. Additionally, requiring a twofold difference reduced false positives, as the number of genes with two-fold difference and a P<0.01 only included ~100 genes more than with P < 0.001, and almost all genes showed germline expression by in situ hybridization. |
[cgc6390]:herm_soma-enriched
|
|
|
Class E gene expression showed no change in lin-14(lf) in L1, up regulation in lin-4(lf) in L2. |
Raw data from each experiment were downloaded from the Stanford Microarray Database into Excel files and processed as follows: (i) sort by Spot Flag and discard any rows where the Spot Flag value was nonzero, indicating a bad PCR; (ii) sort by Failed and discard any rows where the Failed value was nonzero, indicating abnormal hybridization; (iii) import into a common file for each type of experiment (i.e., lin-14 or lin-4) the columns from each raw experimental file [RAT2(R/G), which shows a log base 2 transformed ratio of normalized red/green signal for each spot; name of spot (Wormbase designation); chromosome location and description (www.wormbase.org)]; (iv) calculate an average RAT2(R/G) based on the 2 or 3 values (avg; any rows which had only one good experimental value were discarded); (v) calculate a standard deviation (stdev) for the average value; (vi) calculate a t value for each spot by using the formula t = avg*[sqrt(n - 1)]/stdev, where n is the number of experiments for which good data exist, sqrt is square root, and stdev is standard deviation; (vii) sort by absolute t value and discard any rows with a t value below 4.303 (below 95% confidence interval for three experiments) or below 12.706 (below 95% confidence interval for two experiments); (viii) sort by absolute average value and discard any rows with average values below 1.0 (less than twofold change compared to control). |
WBPaper00026952:class_E
|
