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Genes that were downregulated in lin-15B(n744). |
For each gene in each microarray hybridization experiment, the ratio of RNA levels from the two samples was transformed into a log2 value and the mean log2 ratio was calculated. The log2 ratios were normalized by print-tip Loess normalization (Dudoit and Yang, 2002). All genes with a false discovery rate of <= 5% (q <= 0.05) (Storey and Tibshirani, 2003) and a mean fold-change ratio of >= 1.5 were selected for further analysis. |
WBPaper00038168:lin-15B(n744)_downregulated
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Genes with expression level regulated by genotype (N2 vs CB4856) and age at L3 larva and Late reproduction stage (96 hours at 24 centigrade). |
For model 2, authors used 100 permutations to estimate the FDR threshold. Per permutation, genotypes and ages were independently randomly distributed, keeping the among-gene structure intact. Then for each spot (23,232) on the array, model 2 was tested. The obtained P-values were used to estimate a threshold for each of the explanatory factors. Authors also used a genome-wide threshold of -log10 P-value = 2, which resembles an FDR of 0.072 and 0.060 for marker and the interaction age-marker for the developing worms and FDR of 0.050 and 0.065 for marker and age-marker for the aging worms. For the physiological age effect, authors used a log10 P-value = 8 in developing worms (0.012 FDR) and -log10 P-value = 6 (0.032 FDR). |
WBPaper00040858:eQTL_age_regulated_developing
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Genes with expression level regulated by genotype (N2 vs CB4856) at L3 larva and Late reproduction stage (96 hours at 24 centigrade). |
For model 2, authors used 100 permutations to estimate the FDR threshold. Per permutation, genotypes and ages were independently randomly distributed, keeping the among-gene structure intact. Then for each spot (23,232) on the array, model 2 was tested. The obtained P-values were used to estimate a threshold for each of the explanatory factors. Authors also used a genome-wide threshold of -log10 P-value = 2, which resembles an FDR of 0.072 and 0.060 for marker and the interaction age-marker for the developing worms and FDR of 0.050 and 0.065 for marker and age-marker for the aging worms. For the physiological age effect, authors used a log10 P-value = 8 in developing worms (0.012 FDR) and -log10 P-value = 6 (0.032 FDR). |
WBPaper00040858:eQTL_regulated_developing
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Reduced humidity (98% relative humidity). |
Genes that were down-regulated after one day exposure to reduced humidity (98% relative humidity) according to microarray analysis. |
Multiple hypothesis testing with the Benjamini-Hochberg correction was applied on calculated p-values. A change in the expression level was considered to be significant if the adjusted p-value was less than 0.001. |
WBPaper00044578:reduced-humidity_downregulated_microarray
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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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Genes upregulated in sma-2 L4 (3 arrays) or sma-4 L4 (1 array) vs. N2 L4. |
FDR = 0%, SAM. |
WBPaper00037682:sma-2_sma-4_upregulated
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Transcripts depleted in RIS neurons comparing to in all cells. |
edgeR 3.24.3, FDR < 0.01 |
WBPaper00058969:RIS_depleted
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Developmentally modulated gene cluster. |
self-organizing map |
cgc4386_cluster_1_6
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Germline-enriched and sex-biased expression profile cluster C. |
hierarchical clustering |
[cgc6390]:Cluster_C
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Genes with expression level regulated by genotype (N2 vs CB4856) at L3 larva stage |
Authors permuted transcript values and used a genome-wide threshold of log10 P-value = 2, which resembles a false discovery rate (FDR) of 0.0129. |
WBPaper00040858:eQTL_regulated_juvenile
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Transcripts that showed significantly increased expression in ints-1(RNAi) animals comparing to control RNAi animals, at late L3 larva stage. |
DESeq2, v1.12.0, fold change > 2, FDR < 0.05 |
WBPaper00057068:ints-4(RNAi)_upregulated
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Genes found to be regulated in daf-16(mgDf50) by resveratrol treatment with p < 0.01. |
N.A. |
WBPaper00026929:Resveratrol_regulated_daf-16
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Genes found to be regulated in N2 by resveratrol treatment with p < 0.01. |
N.A. |
WBPaper00026929:Resveratrol_regulated_N2
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Genome-wide analysis of developmental and sex-regulated gene expression profile. |
self-organizing map |
cgc4489_group_8
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Down-regulated genes (fold change > 1.5) in two CoQ-deficient clk-1 mutant strains (e2519, qm30) compared to wild types N2. |
Fold-changes of intensities were calculated from the arithmetic mean of gene expression values between experimental and corresponding control group. Fold change >= 1.5 was used as cut-off. |
WBPaper00045774:clk-1_downregulated
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Bacteria infection: Serratia marcesens |
Genes up-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_upregulated
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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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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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Protein coding genes with increased expression in prg-1(wm161) comparing to in N2. |
Cuffdiff and DEGseq were used to calculate the differential expression of protein-coding genes with and without the prg-1 mutation, and authors selected genes which had more than two-fold difference in expression (P < 0.05, q < 0.01 of Storey) from DEGseq outcomes. The intersection of genes which authors selected from DEGseq outcomes and genes which had more than two-fold difference in expression (P < 0.05) from Cuffdiff outcomes was defined as differentially expressed genes. |
WBPaper00045316:prg-1_upregulated_L3
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Transcripts that showed significantly increased expression in mrps-5(RNAi) comparing to in control animals. |
Fold change > 4, p-value < 0.01 |
WBPaper00056330:mrps-5(RNAi)_upregulated
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miRNA targets that are significantly enriched at embryo 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:embryo_enriched_AIN-2_IP
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miRNA targets that are significantly enriched at L2 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
|
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:L2_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 more than 4 fold of expression in N2 comparing to in CB4856 animals. |
DESeq2, fold change > 4. |
WBPaper00053909:N2_vs_CB4856_upregulated
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Transcripts that showed significantly decreased expression in mrps-5(RNAi) animals comparing to animals injected with empty vector. |
Differential expression was assessed using a Partial least-squares discriminant analysis (PLS-DA) using mixomics setting a variable of importance (VIP) score of greater than 1 as significant. |
WBPaper00059328:mrps-5(RNAi)_downregulated_mRNA
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Transcripts that showed significantly increased expression in elli-1(sam-3) comparing to in N2 animals, accordingto tiling array analysis. |
Fold change > 1.2, q-value < 0.05. |
WBPaper00050743:elli-1(sam-3)_downregulated
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Genes that are up or down regulated by more than 2.1 fold with the t-test p-value less than 0.01 are included in this cluster. |
Genes that are regulated by more than 2.1 fold with the t-test p-value less than 0.01 are included in this cluster. |
WBPaper00024393:strongly_regulated_dauer_genes
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Transcripts that showed significantly decreased expression in sma-3(wk30) comparing to in N2. |
EdgeR fold change > 2, FDR < 0.05. |
WBPaper00067781:sma-3(wk30)_downregulated
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Genes that are upregulated by 0.2M ethanol treatment. |
Differences in gene expression levels between the two groups of worms were analyzed with Cufflinks 1.0.3, using a cutoff of twofold difference and FDR corrected p < 0.05. |
WBPaper00041954:ethanol_upregulated
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