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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 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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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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Genes from eat-2(ad465) animals with significantly increased 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_upregulated
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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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Class B gene expression showed up regulation in lin-14(lf) in L1, no change 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_B
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