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Coexpression clique No. 203, sre-33-ZK1025.1_8337, on the genome-wide coexpression clique map for the nematode GPL200 platform. |
All available microarray datasets for the GPL200 platform (Affymetrix C. elegans Genome Array) were obtained from the GEO repository. This included 2243 individual microarray experiments. These were normalized against each other with the software RMAexpress (Bolstad, 2014). Based on these normalized values, Pearsons correlation coefficients were obtained for each probe-probe pair of the 22,620 probes represented on this array type. The resulting list of correlation coefficients was then ranked to generate the ranked coexpression database with information on each probe represented on the GPL200 platform. |
WBPaper00061527:sre-33-ZK1025.1_8337
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Maternal class (M): genes that are called present in at least one of the three PC6 replicates. |
A modified Welch F statistic was used for ANOVA. For each gene, regressed error estimates were substituted for observed error estimates. The substitution is justified by the lack of consistency among the most and least variable genes at each time point. Regressed error estimates were abundance-dependent pooled error estimates that represented a median error estimate from a window of genes of similar abundance to the gene of interest. A randomization test was used to compute the probability Pg of the observed F statistic for gene g under the null hypothesis that developmental time had no effect on expression. P-values were not corrected for multiple testing. |
[cgc5767]:expression_class_M
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Strictly maternal class (SM): genes that are the subset of maternal genes that are not also classified as embryonic. |
A modified Welch F statistic was used for ANOVA. For each gene, regressed error estimates were substituted for observed error estimates. The substitution is justified by the lack of consistency among the most and least variable genes at each time point. Regressed error estimates were abundance-dependent pooled error estimates that represented a median error estimate from a window of genes of similar abundance to the gene of interest. A randomization test was used to compute the probability Pg of the observed F statistic for gene g under the null hypothesis that developmental time had no effect on expression. P-values were not corrected for multiple testing. |
[cgc5767]:expression_class_SM
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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
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Bacteria infection: Serratia marcescens |
Genes with increased expression after 24 hours of infection by S.marcescens Fold changes shown are pathogen vs OP50. |
For RNA-seq and tiling arrays, log2 fold changes between gene expression values of infected versus uninfected nematodes were calculated. For log2 fold changes > 0.00001 the values > 81.25th percentile were defined as up-regulated and for log2 fold changes < -0.00001 the values < 18.75th percentile were defined as down-regulated. |
WBPaper00038438:S.marcescens_24hr_upregulated_TilingArray
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Transcripts down regulated in hpl-2(tm1489) embryo comparing to N2 in tiling array analysis. |
Oligos from the tiling array were mapped to chromosome coordinates of the exons from Wormbase WS180. Any oligo that mapped to a gene on both the Watson and Crick strands was excluded. The remaining oligos were then grouped together (perfect match and mismatch) into probe sets and written out into an Affymetrix CDF file. The CDF file was converted into an R-package and loaded into R. The expression values were calculated using the justRMA function from Bioconductor. This used a Benjamini and Hochberg false discovery rate correction. |
WBPaper00040560:hpl-2_embryo_downregulated
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Genes expressed in N2. |
Expressed transcripts were identified on the basis of a Present call in 3 out of 4 N2 experiments as determined by Affymetrix MAS 5.0. |
WBPaper00025141:N2_Expressed_Genes
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Developmentally modulated gene cluster. |
self-organizing map |
cgc4386_cluster_6_5
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Significantly upregulated genes from cyc-1(RNAi) microarrays using SAM algorithm with an FDR < 0.1 from adult-only chips. |
SAM algorithm with an FDR < 0.1. |
WBPaper00033065:cyc-1(RNAi)_upregulated
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Genes with expression 1.5X depleted in PVD and OLL neurons. |
Data sets were normalized by RMA and transcripts showing relative PVD enrichment (>=1.5X) vs. the reference sample were identified by SAM analysis (False Discovery Rate, FDR < 1%) |
WBPaper00036375:depleted_in_PVD_OLL
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Genes that showed significantly increased expression level in rsr-2(RNAi) animals comparing to in gfp(RNAi) control. |
Fold change > 1.2 or < 0.8. |
WBPaper00042477:rsr-2(RNAi)_upregulated_TilingArray
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Transcripts that showed significantly decreased expression in daf-2(e1370) comparing to in N2. |
Student's t-test, fold change > 2, p-value < 0.05. |
WBPaper00055386:daf-2(e1370)_downregulated
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Expression Pattern Group G, enriched for genes involved in locomotion. |
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_G
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