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Transcripts that showed significantly increased expression after animals were treated with 100uM Psora and 250uM Allantoin from day 1 to day 3 adult hermaphradite. |
DESeq2(v1.14.1), fold change > 2, p-value < 0.05 |
WBPaper00055354:Psora-Allantoin_upregulated
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Transcripts expressed in vulva. |
FPKM >= 1. |
WBPaper00064122:vulva_transcriptome
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Transcripts that showed significantly increased expression in hda-1(ne4752[3xFLAG-Degron-HDA-1]) in gonads dissected from 1-day old adult animals. |
Salmon was used to map the mRNA-seq reads with the worm database WS268, and its output files were imported to DESeq2 in R. The differentially expressed genes were filtered by fold change more than 2 and adjusted p-value < 0.05. The scatter plots were generated by the plot function in R. |
WBPaper00061479:hda-1(ne4752)_upregulated
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Transcripts that showed significantly increased expression in mut-16(pk710), comparing to in N2 animals. |
DESeq2 v. 1.22.2, adjusted p-value <= 0.05. |
WBPaper00059605:mut-16(pk710)_upregulated
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Transcripts that showed significantly increased expression in ilc-17.1(syb5296) comparing to in N2 animals at L4 larva stage. |
DESeq2, fold change > 2, FDR < 0.05. |
WBPaper00066594:ilc-17.1(syb5296)_upregulated
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Transcripts that showed significantly increased expression in animals lacking P granules by RNAi experiments targeting pgl-1, pgl-3, glh-1 and glh-4, and unc-119-GFP(+), comparing to in control animals, at 2-day post L4 adult hermaphrodite stage. |
DESeq2, Benjamini-Hochberg multiple hypothesis corrected p-value < 0.05 and fold change > 2. |
WBPaper00050859:upregulated_P-granule(-)GFP(+)_vs_control_day2-adult
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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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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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Expression Pattern Group B, enriched for genes involved in embryonic development. These patterns have in common that they all have genes of which the expression goes up after the juvenile stage. The expression of the genes in these patterns remains high or even goes up after reproduction. |
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_B
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Transcripts that showed significantly decreased expression in mex-1(or286) comparing to in N2 at early embryo when there were only 3 -5 eggs in the adult. |
RPKM fold change > 2. |
WBPaper00058598:mex-1(or286)_downregulated
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mRNAs that were significantly enriched in the AIN-1 immunoprecipitation samples, compared to the control total mRNAs in the input extracts (p < 0.01). |
Signals from replicates of total worm lysates from wt and strains containing the ain-2::gfp or the ain-2 promoter::gfp transgene were mean normalized and averaged respectively to generate standard profiles of gene expression in these worm strains. Authors then calculated the ratio of signal of each gene from each IP sample to the standard gene expression profile of the corresponding worm strain. Based on this ratio, a percentile rank of each gene relative to all genes in each IP replicate was calculated. The percentile ranks in the three replicates of each IP were averaged. Student t test was utilized to determine if the average percentile ranks of enrichment of individual genes were significantly higher (p value) than the mean enrichment of all genes in the IP samples. To determine the AIN-1 or AIN-2 associated genes, we used the following criteria: (1) average percentile ranks of enrichment is greater than the mean enrichment of all genes in AIN-1 or AIN-2 IP with p < 0.01; (2) average signal in AIN-1 or AIN-2 IP replicates is greater than the background signal (including 2X standard deviation (SD)) (Background signal and SD were calculated based on signals from empty spots on each microarray); (3) criteria 1 is not be satisfied for the same gene in the corresponding control IP. |
WBPaper00031252:AIN-1_IP_enriched
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Transcripts that showed significantly increased expression after animals were treated with 100uM Rapamycin and 250uM Allantoin from day 1 to day 3 adult hermaphradite. |
DESeq2(v1.14.1), fold change > 2, p-value < 0.05 |
WBPaper00055354:Rapamycin-Allantoin_upregulated
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Transcripts that showed significantly increased expression after animals were treated with 100uM Rapamycin and 100uM Psora from day 1 to day 3 adult hermaphradite. |
DESeq2(v1.14.1), fold change > 2, p-value < 0.05 |
WBPaper00055354:Rapamycin-Psora_upregulated
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Bacteria Diet: L. plantarum with pdxH mutant vs. L. plantarum |
Transcripts that showed significantly decreased expression in N2 animals fed with L. plantarum with pdxH mutant, comparing to in N2 animals fed with L. plantarum. |
GFold3, logFC < -1 or > 1. |
WBPaper00066703:L.plantarum-pdxH_downregulated
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Transcripts that showed significantly increased expression after animals were treated with 100uM Rapamycin, 50uM Rifampicin and 100uM Psora from day 1 to day 3 adult hermaphradite. |
DESeq2(v1.14.1), fold change > 2, p-value < 0.05 |
WBPaper00055354:Rapamycin-Rifampicin-Psora_upregulated
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mRNAs that were significantly enriched in the AIN-2 immunoprecipitation samples, compared to the control total mRNAs in the input extracts (p < 0.01). |
Signals from replicates of total worm lysates from wt and strains containing the ain-2::gfp or the ain-2 promoter::gfp transgene were mean normalized and averaged respectively to generate standard profiles of gene expression in these worm strains. Authors then calculated the ratio of signal of each gene from each IP sample to the standard gene expression profile of the corresponding worm strain. Based on this ratio, a percentile rank of each gene relative to all genes in each IP replicate was calculated. The percentile ranks in the three replicates of each IP were averaged. Student t test was utilized to determine if the average percentile ranks of enrichment of individual genes were significantly higher (p value) than the mean enrichment of all genes in the IP samples. To determine the AIN-1 or AIN-2 associated genes, we used the following criteria: (1) average percentile ranks of enrichment is greater than the mean enrichment of all genes in AIN-1 or AIN-2 IP with p < 0.01; (2) average signal in AIN-1 or AIN-2 IP replicates is greater than the background signal (including 2X standard deviation (SD)) (Background signal and SD were calculated based on signals from empty spots on each microarray); (3) criteria 1 is not be satisfied for the same gene in the corresponding control IP. |
WBPaper00031252:AIN-2_IP_enriched
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miRNA targets that are significantly enriched at L1 larva stage. To generate a global view of the dynamics of miRNA-mediated regulation of gene expression during C. elegans development, authors analyzed the mRNAs in the AIN-2-GFP IP results from five developmental stages. The magnitude of the combined interaction of miRNAs with a given target mRNA was assessed by measuring the fold enrichment of that mRNA in AIN-2 IP samples, relative to the abundance of the mRNA in the corresponding total lysate. Because this enrichment in the IP sample versus total lysate directly reflects the miRISC-associated fraction of a given mRNA, high enrichment indicates the likelihood of strong miRNA-mediated regulation of the mRNA, whereas low or negative enrichment indicates the likelihood of weak or absent miRNA regulation of the mRNA. It is also possible that poor enrichment could reflect interactions that occur only in a rare subset of cells at any given stage of development. Transcripts that were significantly enriched (0
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For each transcript represented on the microarray, authors first used all 18 data points from all of the 18 microarrays to calculate its average in-stage standard deviation as SD=SQRT((i=1-K (ni-1)SDi2)/(N-K)), degree of freedom (df)=N-K, where K is the number of developmental stages in which the given transcript had at least one non-missing log2(IP/Total) value; ni is the number of non-missing values in stage i among the K stages; SDi is the standard deviation of the log2(IP/Total) values from all the replicates of stage i; N is the total number of non-missing values for this transcript at all stages. A transcript must have at least one stage with at least two non-missing values to be testable. All of the non-missing values of a transcript at each stage were averaged to generate the stage-average values (Mi for stage i). The standard error of Mi was calculated as SEi=SD/SQRT(ni) (df=N-K), where SD is the average in-stage standard deviation calculated above and ni is the number of non-missing values at stage i, as explained above. Based on the SEi, a one-tailed Students t-test was used to calculate the P-value of enrichment in stage i (Test if Mi>0). The T statistic was constructed as T=Mi/SEi (df=N-K). Mi>0 and enrichment P<0.001 were used as the threshold of enrichment for each stage. |
WBPaper00035084:L1_enriched_AIN-2_IP
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miRNA targets that are significantly enriched at L3 larva stage. To generate a global view of the dynamics of miRNA-mediated regulation of gene expression during C. elegans development, authors analyzed the mRNAs in the AIN-2-GFP IP results from five developmental stages. The magnitude of the combined interaction of miRNAs with a given target mRNA was assessed by measuring the fold enrichment of that mRNA in AIN-2 IP samples, relative to the abundance of the mRNA in the corresponding total lysate. Because this enrichment in the IP sample versus total lysate directly reflects the miRISC-associated fraction of a given mRNA, high enrichment indicates the likelihood of strong miRNA-mediated regulation of the mRNA, whereas low or negative enrichment indicates the likelihood of weak or absent miRNA regulation of the mRNA. It is also possible that poor enrichment could reflect interactions that occur only in a rare subset of cells at any given stage of development. Transcripts that were significantly enriched (0
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For each transcript represented on the microarray, authors first used all 18 data points from all of the 18 microarrays to calculate its average in-stage standard deviation as SD=SQRT((i=1-K (ni-1)SDi2)/(N-K)), degree of freedom (df)=N-K, where K is the number of developmental stages in which the given transcript had at least one non-missing log2(IP/Total) value; ni is the number of non-missing values in stage i among the K stages; SDi is the standard deviation of the log2(IP/Total) values from all the replicates of stage i; N is the total number of non-missing values for this transcript at all stages. A transcript must have at least one stage with at least two non-missing values to be testable. All of the non-missing values of a transcript at each stage were averaged to generate the stage-average values (Mi for stage i). The standard error of Mi was calculated as SEi=SD/SQRT(ni) (df=N-K), where SD is the average in-stage standard deviation calculated above and ni is the number of non-missing values at stage i, as explained above. Based on the SEi, a one-tailed Students t-test was used to calculate the P-value of enrichment in stage i (Test if Mi>0). The T statistic was constructed as T=Mi/SEi (df=N-K). Mi>0 and enrichment P<0.001 were used as the threshold of enrichment for each stage. |
WBPaper00035084:L3_enriched_AIN-2_IP
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miRNA targets that are significantly enriched at L4 larva stage. To generate a global view of the dynamics of miRNA-mediated regulation of gene expression during C. elegans development, authors analyzed the mRNAs in the AIN-2-GFP IP results from five developmental stages. The magnitude of the combined interaction of miRNAs with a given target mRNA was assessed by measuring the fold enrichment of that mRNA in AIN-2 IP samples, relative to the abundance of the mRNA in the corresponding total lysate. Because this enrichment in the IP sample versus total lysate directly reflects the miRISC-associated fraction of a given mRNA, high enrichment indicates the likelihood of strong miRNA-mediated regulation of the mRNA, whereas low or negative enrichment indicates the likelihood of weak or absent miRNA regulation of the mRNA. It is also possible that poor enrichment could reflect interactions that occur only in a rare subset of cells at any given stage of development. Transcripts that were significantly enriched (0
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For each transcript represented on the microarray, authors first used all 18 data points from all of the 18 microarrays to calculate its average in-stage standard deviation as SD=SQRT((i=1-K (ni-1)SDi2)/(N-K)), degree of freedom (df)=N-K, where K is the number of developmental stages in which the given transcript had at least one non-missing log2(IP/Total) value; ni is the number of non-missing values in stage i among the K stages; SDi is the standard deviation of the log2(IP/Total) values from all the replicates of stage i; N is the total number of non-missing values for this transcript at all stages. A transcript must have at least one stage with at least two non-missing values to be testable. All of the non-missing values of a transcript at each stage were averaged to generate the stage-average values (Mi for stage i). The standard error of Mi was calculated as SEi=SD/SQRT(ni) (df=N-K), where SD is the average in-stage standard deviation calculated above and ni is the number of non-missing values at stage i, as explained above. Based on the SEi, a one-tailed Students t-test was used to calculate the P-value of enrichment in stage i (Test if Mi>0). The T statistic was constructed as T=Mi/SEi (df=N-K). Mi>0 and enrichment P<0.001 were used as the threshold of enrichment for each stage. |
WBPaper00035084:L4_enriched_AIN-2_IP
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Transcripts that showed significantly increased expression in sensory neuron (labeled by iaIs25[Pgcy-37::GFP + unc-119(+)]) comparing to in whole worm. |
Fold change > 2, p-value < 0.05. |
WBPaper00060661:sensory-neuron_enriched
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Coexpression clique No. 211, srj-42-srw-113, 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:srj-42-srw-113
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Transcripts that showed significantly decreased expression in spn-4(tm291) comparing to in N2 at early embryo when there were only 3 -5 eggs in the adult. |
RPKM fold change > 2. |
WBPaper00058598:spn-4(tm291)_downregulated
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Transcripts that showed significantly increased expression in hrde-1(tm1200) in gonads dissected from 1-day old adult animals. |
Salmon was used to map the mRNA-seq reads with the worm database WS268, and its output files were imported to DESeq2 in R. The differentially expressed genes were filtered by fold change more than 2 and adjusted p-value < 0.05. The scatter plots were generated by the plot function in R. |
WBPaper00061479:hrde-1(tm1200)_upregulated
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Transcripts that showed significantly increased expression in hrde-1(tm1200) animals, comparing to in N2, after growing at 25C for two generations (early generation). |
CuffDiff2 |
WBPaper00051265:F1_hrde-1(tm1200)_upregulated
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Oxidative stress induced by paraquat treatment. |
Genes that were significantly down regulated in stressed N2 relative to unstressed N2. |
Audic-Claverie test of statistical significance using normalized read frequencies (i.e. Normalized number of reads per gene = number of reads mapped to a gene * the read length (36 bases)/the gene length/total number of reads in the library) of commonly identified genes. Genes that had p-values less than 0.01 and log2 expression level ratios greater than 0.7 (Minimum of ~1.5 difference) for every comparison were selected as differentially expressed. |
WBPaper00038118:stress_downregulated_N2
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