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Genes up regulated in alg-1(gk214) comparing to in N2. |
Differential expression was assessed using an empirical Bayes statistics using the eBayes function. |
WBPaper00040823:alg-1(gk214)_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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Genome-wide analysis of developmental and sex-regulated gene expression profile. |
self-organizing map |
cgc4489_group_12
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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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Genes upregulated in dcr-1(-/-) adult animals by at least 1.5 fold and P < 0.01, as determined by a multisample t-test and the Benjamini and Hochberg false discovery rate correction. |
Statistical t-test: P < 0.05 for rde-4(-/-) and rde-1(-/-) analyses; P < 0.01 for dcr-1(-/-) analysis with a threshold of 1.5-fold misregulation. |
WBPaper00029437:dcr-1_upregulated
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Single-cell RNA-Seq cell group 30_0 expressed in valve. |
scVI 0.6.0 |
WBPaper00065841:30_0
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Expression Pattern Group D, enriched for genes involved in catabolic processes. |
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_D
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Transcripts with significantly increased 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)_upregulated
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Transcripts with significantly increased 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)_upregulated
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Single-cell RNA-Seq cell group 45_0 expressed in glia. |
scVI 0.6.0 |
WBPaper00065841:45_0
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Single-cell RNA-Seq cell group 141_0 expressed in glia. |
scVI 0.6.0 |
WBPaper00065841:141_0
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Transcripts enriched in PHsh according to single cell RNAseq. |
Genes that pass the Bonferroni threshold for multiple comparisons (q < 0.05) are significantly enriched. |
WBPaper00061651:PHsh_enriched
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Transcripts enriched in Rectal_gland according to single cell RNAseq. |
Genes that pass the Bonferroni threshold for multiple comparisons (q < 0.05) are significantly enriched. |
WBPaper00061651:Rectal_gland_enriched
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Transcripts that showed significantly increased expression in unc-30(ok613) animals at L4 larva stage, comparing to N2 animals. |
Genes exhibiting at least two-fold change were considered differentially expressed. |
WBPaper00061439:unc-30(ok613)_upregulated
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Genes expressed in embryonic motor neurons (identified by unc-4::GFP expressing cells). |
Genes called Present by MAS 5.0 in 2 out of 3 unc-4::GFP hybridizations. |
WBPaper00025141:unc-4::GFP_Expressed_Genes
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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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Genes from eat-2(ad465) animals with significantly decreased expression after 72 hours of treatment on growth media with 10uM rapamycin in 2% DMSO. |
Analysis of gene expression data was carried out with the Affymetrix Transcriptome Analysis Console. Data preprocessing (using RMA normalization) and QC metrics were performed using Affymetrix Expression Console TM and manually inspected afterwards. Expression analysis was carried out for each two pairwise conditions. FDR statistical correction for multiple testing resulted in a slightly lower number of DEGs in most cases. P-value < 0.05 and fold change > 2.0 were used to determine differentially expressed genes. |
WBPaper00048989:eat-2(ad465)_rapamycin_downregulated
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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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fasting |
Genes upregulated by fasting anytime between 9 hour to 12 hour time course in N2 worms. |
Hierarchical clustering analysis was done with squared Euclidean as the distance metric and average linkage as the cluster method by using GeneSpring GX. |
WBPaper00041960:N2_fasting_upregulated_9hto12h
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fasting |
Genes upregulated by fasting anytime during the 48 hour time course in N2 worms. |
Hierarchical clustering analysis was done with squared Euclidean as the distance metric and average linkage as the cluster method by using GeneSpring GX. |
WBPaper00041960:N2_fasting_upregulated_anytime
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Treatment with 2.0mM of HuminFeed until older adult stage (11 days). |
Gene significantly down-regulated by treatment with 2.0mM of HuminFeed until older adult stage (11 days), with a minimum fold change in gene expression of 0.8. |
For selection of DEGs, an unpaired t -test was performed followed by a significance analysis of microarray (SAM) test including a calculation that estimates the false discovery rate (FDR). FDR, reducing on the one hand type I errors for null associations, was set to a non-stringent level of <12.5%, mainly to guard from an increase of type II error and also based on findings by Levine et al. (2011), which described 12.5% as most acceptable optimum level of FDR, representing the 90th percentile of the normal distribution curve. DEGs exceeding a fold change of 1.25 were further analyzed with respect to their functional clustering. This fold-cut-off was chosen to allow an interpretation that is biologically meaningful, akin to the notion that data of sound technical and experimental quality which returns strong, statistically significant, absolute signal intensities is sufficiently robust to justify a fold-cut-off of >1.2. This analysis was conducted using the functional annotation clustering tool of the Database for Annotation, Visualization, and Integrated Discovery (DAVID; Huang et al., 2007). |
WBPaper00041002:HF_11d_2.0mM_Down
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Genes that showed significantly changed expression during aging (ANOVA, p < 0.0001) |
ANOVA, p < 0.0001. |
WBPaper00032062:age_regulated_genes
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Genes up-regulated after 100 um Quercetin treatment. Fold change > 1.25. |
GCRMA |
WBPaper00040963:Q100_up
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Genes up-regulated after 200 um Quercetin treatment. Fold change > 1.25. |
GCRMA |
WBPaper00040963:Q200_up
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fasting |
Genes upregulated more than 2-fold by fasting for 48 hours in N2 and in daf-16(mu86). |
Statistical analysis was performed by two-way analysis of variance (ANOVA) with a Benjamini and Hochberg false discovery rate (BH-FDR-0.1) multiple testing corrections followed by Tukey post hoc tests using log-transformed data (GeneSpring GX). |
WBPaper00041960:daf-16_fasting_upregulated
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fasting |
Genes upregulated more than 2-fold by fasting for 48 hours in N2 and in jun-1(gk557). |
Statistical analysis was performed by two-way analysis of variance (ANOVA) with a Benjamini and Hochberg false discovery rate (BH-FDR-0.1) multiple testing corrections followed by Tukey post hoc tests using log-transformed data (GeneSpring GX). |
WBPaper00041960:jun-1_fasting_upregulated
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fasting |
Genes upregulated more than 2-fold by fasting for 48 hours in N2 and in kgb-1(km21). |
Statistical analysis was performed by two-way analysis of variance (ANOVA) with a Benjamini and Hochberg false discovery rate (BH-FDR-0.1) multiple testing corrections followed by Tukey post hoc tests using log-transformed data (GeneSpring GX). |
WBPaper00041960:kgb-1_fasting_upregulated
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fasting |
Genes upregulated more than 2-fold by fasting for 48 hours in N2. |
Statistical analysis was performed by two-way analysis of variance (ANOVA) with a Benjamini and Hochberg false discovery rate (BH-FDR-0.1) multiple testing corrections followed by Tukey post hoc tests using log-transformed data (GeneSpring GX). |
WBPaper00041960:N2_fasting_upregulated
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Genes with differential expression under 0.5mg/l Diazinon (DZN) treatment at 24 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:Diazinon_24C_regulated
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Genes up-regulated during spg-7(RNAi) treatment. |
Data normalization, scaling and 2 -way Anova was used to identify differentially expressed genes, using Partek Geno mics Suite (v6.5). Average linkage gene clustering was performed with a Euclidean distance using Hierarchical clustering. The genes with statistically significant changes between the treatments and strains were identified using Anova streamlined (Partek Genomic Suite (v6.5)). Only genes with a fold change higher than 1.3 and p-value lower than 0.05 were considered. |
WBPaper00041370:spg-7(RNAi)_upregulated
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