WormMine

WS295

Intermine data mining platform for C. elegans and related nematodes

Gene :

WormBase Gene ID  ? WBGene00015007 Gene Name  ain-2
Sequence Name  ? B0041.2 Brief Description  ain-2 encodes, by alternative splicing, three isoforms of anunfamiliar protein paralogous to AIN-1, and homologous to Brugia malayi14748.m00068, 14052.m00191, and 14963.m01790; AIN-2 protein bindsGEI-4 and GEI-16 in yeast two-hybrid experiments; AIN-2 and itsnematode homologs have weak similarity to human TNRC6A (GW182;OMIM:610739) and Drosophila GAWKY; ain-2 has no obvious function inmass RNAi assays.
Organism  Caenorhabditis elegans Automated Description  Involved in negative regulation of gene expression; regulation of cell fate specification; and regulation of development, heterochronic. Expressed widely.
Biotype  SO:0001217 Genetic Position  I :-1.02852 ±0.002242
Length (nt)  ? 6687
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1 Organism

Name Taxon Id
Caenorhabditis elegans 6239

1 Synonyms

Value
WBGene00015007

Genomics

8 Transcripts

WormMine ID Sequence Name Length (nt) Chromosome Location
Transcript:B0041.2b.1 B0041.2b.1 3137   I: 4653467-4660153
Transcript:B0041.2f.1 B0041.2f.1 3066   I: 4653473-4660148
Transcript:B0041.2a.1 B0041.2a.1 3135   I: 4653473-4660151
Transcript:B0041.2e.1 B0041.2e.1 3075   I: 4653473-4660151
Transcript:B0041.2d.1 B0041.2d.1 2247   I: 4653527-4659317
Transcript:B0041.2c.1 B0041.2c.1 2978   I: 4655343-4660153
Transcript:B0041.2g.1 B0041.2g.1 2913   I: 4655347-4660146
Transcript:B0041.2a.2 B0041.2a.2 2975   I: 4655349-4660150
 

Other

7 CDSs

WormMine ID Sequence Name Length (nt) Chromosome Location
CDS:B0041.2b B0041.2b 2241   I: 4653527-4653542
CDS:B0041.2e B0041.2e 2187   I: 4653527-4653542
CDS:B0041.2f B0041.2f 2181   I: 4653527-4653542
CDS:B0041.2c B0041.2c 2115   I: 4655370-4655496
CDS:B0041.2g B0041.2g 2061   I: 4655370-4655496
CDS:B0041.2a B0041.2a 2121   I: 4655370-4655496
CDS:B0041.2d B0041.2d 2247   I: 4653527-4653542

6 RNAi Result

WormBase ID
WBRNAi00038686
WBRNAi00038690
WBRNAi00002827
WBRNAi00069760
WBRNAi00069761
WBRNAi00078265

108 Allele

Public Name
gk962706
gk963902
gk964159
gk964070
tm11186
WBVar01431444
WBVar01431443
WBVar01431441
gk781135
gk666883
gk886139
gk843779
gk771339
gk890401
gk806896
gk734086
gk843778
gk693413
gk613522
gk359464
gk606126
gk480270
gk827750
gk383837
gk702316
gk726614
gk417413
gk333118
gk606815
gk415897

1 Chromosome

WormBase ID Organism Length (nt)
I Caenorhabditis elegans 15072434  

1 Chromosome Location


Feature . Primary Identifier
Start End Strand
WBGene00015007 4653467 4660153 1

3 Data Sets

Name URL
WormBaseAcedbConverter  
GO Annotation data set  
C. elegans genomic annotations (GFF3 Gene)  

1 Downstream Intergenic Region

WormBase ID Name Sequence Name Length (nt) Chromosome Location Organism
intergenic_region_chrI_4660154..4660520   367 I: 4660154-4660520 Caenorhabditis elegans

124 Expression Clusters

Regulated By Treatment Description Algorithm Primary Identifier
  Transcripts that showed significantly increased expression in L1 neural cells comparing to in adult neural cells. DESeq2 (v1.18.1) fold change > 2, P-adj<0.05, using BenjaminiHochberg correction. WBPaper00060811:L1_vs_adult_upregulated_neural
  Transcripts expressed in neuronal cells, by analyzingfluorescence-activated cell sorted (FACS) neurons. DESeq. False discovry rate (FDR) < 0.1. WBPaper00048988:neuron_expressed
  Genes that showed expression levels higher than the corresponding reference sample (embryonic 24hr reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:all-neurons_L1-larva_expressed
  mRNAs that showed decreased expression in 1 cell mebryo comparing to in oocyte, according to RNAseq analysis. Gaussian error propagation. As cutoff for the up-regulated genes authors used log2 fold change > 1 and P < 0.05 and as cutoff for the down-regulated genes authors used log2 fold change < -1 and P < 0.05. WBPaper00045420:fertilization_downregulated_transcript
  Transcripts that showed significantly increased expression after animals were treated with 50uM Rifampicin from day 1 to day 3 adult hermaphradite. DESeq2(v1.14.1), fold change > 2, p-value < 0.05 WBPaper00055354:Rifampicin_upregulated
  Transcripts that showed significantly increased expression after animals were treated with 100uM Rapamycin and 50mM Metformin from day 1 to day 3 adult hermaphradite. DESeq2(v1.14.1), fold change > 2, p-value < 0.05 WBPaper00055354:Rapamycin-Metformin_upregulated
  Proteins interacting with NHR-49-GFP according to co-IP and LC-MS. N.A. WBPaper00064071:NHR-49_interacting
  Transcripts expressed in the epithelial tissues surrounding the pharynx that includes the arcade and intestinal valve (AIV) cells, according to PAT-Seq analysis using Pbath-15-GFP-3XFLAG mRNA tagging. Cufflinks FPKM value >=1. WBPaper00050990:arcade_intestinal-valve_expressed
  Transcripts expressed in body muscle, according to PAT-Seq analysis using Pmyo-3-GFP-3XFLAG mRNA tagging. Cufflinks FPKM value >=1. WBPaper00050990:body-muscle_expressed
  Transcripts expressed in GABAergic neuron, according to PAT-Seq analysis using Punc-47-GFP-3XFLAG mRNA tagging. Cufflinks FPKM value >=1. WBPaper00050990:GABAergic-neuron_expressed
  Transcripts expressed in hypodermis, according to PAT-Seq analysis using Pdpy-7-GFP-3XFLAG mRNA tagging. Cufflinks FPKM value >=1. WBPaper00050990:hypodermis_expressed
  Transcripts expressed in intestine, according to PAT-Seq analysis using Pges-1-GFP-3XFLAG mRNA tagging. Cufflinks FPKM value >=1. WBPaper00050990:intestine_expressed
  Transcripts expressed in NMDA neuron, according to PAT-Seq analysis using Pnmr-1-GFP-3XFLAG mRNA tagging. Cufflinks FPKM value >=1. WBPaper00050990:NMDA-neuron_expressed
  Transcripts expressed in pharynx, according to PAT-Seq analysis using Pmyo-2-GFP-3XFLAG mRNA tagging. Cufflinks FPKM value >=1. WBPaper00050990:pharynx_expressed
  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
Bacteria infection: Bacillus thuringiensis mRNAs that showed significantly decreased expression after pathogenic bacteria Bacillus thuringiensis infections comparing to non pathogenic BT (BT247(1 to 2 mix) vs BT407 12h), according to RNAseq. Cuffdiff, ajusted p-value < 0.01. WBPaper00046497:B.thuringiensis_0.5mix_downregulated_12h
  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
  Transcripts that showed significantly increased expression in aak-1(tm1944);aak-2(ok524) animals comparing to in N2. DEseq 1.18.0, adjusted p-value < 0.05. WBPaper00056471:aak-1(tm1944);aak-2(ok524)_upregulated
  Transcripts that showed significantly changed expression in 6-day post-L4 adult hermaphrodite comparing to in 1-day post L4 adult hermaphrodite animals. Sleuth WBPaper00051558:aging_regulated
  Genes down regulated by mir-243(n4759). RNAs that changed at least 2-fold with a probability of p > 0.05 in three biological replicates were considered differentially regulated between wild-type and mir-243. WBPaper00036130:mir-243_down_regulated
  Transcripts detected in body muscle nuclei according to a nuclear FACS-based strategy. Cufflinks WBPaper00065120:body-muscle-transcriptome
  Genes that showed expression levels higher than the corresponding reference sample (L2 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:all-neurons_L2-larva_expressed
  Transcripts that showed significantly increased expression in nuo-6(qm200) comparing to in N2. Differential gene expression analysis was performed using the quasi-likeli-hood framework in edgeR package v. 3.20.1 in R v. 3.4.1. WBPaper00053810:nuo-6(qm200)_upregulated
  Genes that showed expression levels higher than the corresponding reference sample (L2 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:coelomocytes_L2-larva_expressed
  Genes that showed expression levels higher than the corresponding reference sample (L3/L4 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:dopaminergic-neurons_L3-L4-larva_expressed
  Genes that showed expression levels higher than the corresponding reference sample (L2 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:excretory-cell_L2-larva_expressed
  Genes that showed expression levels higher than the corresponding reference sample (L2 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:GABAergic-motor-neurons_L2-larva_expressed
  Genes that showed expression levels higher than the corresponding reference sample (L2 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:glr-1(+)-neurons_L2-larva_expressed
  Genes that showed expression levels higher than the corresponding reference sample (L3/L4 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:hypodermis_L3-L4-larva_expressed
  Genes that showed expression levels higher than the corresponding reference sample (L2 all cell reference). A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. WBPaper00037950:intestine_L2-larva_expressed

8 Expression Patterns

Remark Reporter Gene Primary Identifier Pattern Subcellular Localization
    Expr2009273 Single cell embryonic expression. Only cell types with an expression fraction of greater 0.2 of the maximum expressed fraction are labeled (Full data can be downloaded from http://caltech.wormbase.org/pub/wormbase/datasets-published/packer2019/). The colors represent the broad cell class to which the cell type has been assigned. The size of the point is proportional to the log2 of the numbers of cells in the dataset of that cell type. Interactive visualizations are available as a web app (https://cello.shinyapps.io/celegans/) and can also be installed as an R package (https://github.com/qinzhu/VisCello.celegans).  
Picture: Figure S1.   Expr7851 The GFP signal was visible in all tissues.  
    Expr1036414 Tiling arrays expression graphs  
    Expr13424    
    Expr2027510 Single cell embryonic expression. Only cell types with an expression fraction of greater 0.2 of the maximum expressed fraction are labeled (Full data can be downloaded from http://caltech.wormbase.org/pub/wormbase/datasets-published/packer2019/). The colors represent the broad cell class to which the cell type has been assigned. The size of the point is proportional to the log2 of the numbers of cells in the dataset of that cell type. Interactive visualizations are available as a web app (https://cello.shinyapps.io/celegans/) and can also be installed as an R package (https://github.com/qinzhu/VisCello.celegans).  
    Expr10993 AIN-2::GFP is diffusely localized in wild-type embryos.  
    Expr1142893 Developmental gene expression time-course. Raw data can be downloaded from ftp://caltech.wormbase.org/pub/wormbase/datasets-published/hashimshony2015  
    Expr1010251 Developmental gene expression time-course. Raw data can be downloaded from ftp://caltech.wormbase.org/pub/wormbase/datasets-published/levin2012  

4 GO Annotation

Annotation Extension Qualifier
  involved_in
  involved_in
  involved_in
  involved_in

0 Homologues

1 Locations


Feature . Primary Identifier
Start End Strand
WBGene00015007 4653467 4660153 1

4 Ontology Annotations

Annotation Extension Qualifier
  involved_in
  involved_in
  involved_in
  involved_in

10 Regulates Expr Cluster

Regulated By Treatment Description Algorithm Primary Identifier
  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
  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 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
  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 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
  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
  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 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
  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 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
  Genes enriched in neuronal miRNA-induced silencing complexes (miRISC) as detected by immunoprecipitations and microarray analysis. Testable genes were defined as having reliable signals in two different biological replicates using the Agilent microarray chip. Multiple probes for the same gene were removed, keeping the probe with the lowest p-value as defined by a one-tailed t-test comparing all testable probes versus probes towards a designated gene. The testable data was then supplemented with the enrichment values (as percent ranks) of a fifth replicate, from another microarray platform GPL5883 (which had a single probe for each gene), and statistical significance was re-calculate. p < 0.001 was the final cutoff. WBPaper00042548:miRISC_enriched
  Genes enriched in L4 larva intestinal AIN-2 miRISCs, potentially involved in non-development processes. Pges-1-ain-2-gfp IP was performed in synchronized L4 larva. Enrichment values are expressed as mean percent rank. The p value was computed by comparing all enrichment values for a given transcript to all enrichment values of all transcripts by a one-tailed t test. Significantly enriched genes are those with p value < 0.01. WBPaper00040985:AIN-2_L4_intestine
  Genes enriched in intestinal AIN-2 miRISCs. Pges-1-ain-2-gfp IP was performed in mixed stage worms. Enrichment values are expressed as mean percent rank. The p value was computed by comparing all enrichment values for a given transcript to all enrichment values of all transcripts by a one-tailed t test. Significantly enriched genes are those with p value < 0.01. WBPaper00040985:AIN-2_asynchronous_intestine
  Genes enriched in body wall muscle AIN-2 miRISCs. Pmyo-3-ain-2-gfp IP was performed in mixed stage worms. Enrichment values are expressed as mean percent rank. The p value was computed by comparing all enrichment values for a given transcript to all enrichment values of all transcripts by a one-tailed t test. Significantly enriched genes are those with p value < 0.01. WBPaper00040985:AIN-2_asynchronous_muscle

1 Sequence

Length
6687

1 Sequence Ontology Term

Identifier Name Description
gene  

2 Strains

WormBase ID
WBStrain00026535
WBStrain00054872

1 Upstream Intergenic Region

WormBase ID Name Sequence Name Length (nt) Chromosome Location Organism
intergenic_region_chrI_4652907..4653466   560 I: 4652907-4653466 Caenorhabditis elegans