Systematic evaluation of C. elegans lincRNAs with CRISPR knockout mutants
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PROVIDER: PRJNA474531 | ENA |
REPOSITORIES: ENA
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Project description:Background: LincRNAs play critical roles in eukaryotic cells, but systematic analyses of lincRNAs of an animal for phenotypes have been missing. We have generated CRISPR knockout strains for C. elegans lincRNAs and have evaluated their phenotypes Results: C. elegans lincRNAs demonstrate global features such as shorter length and fewer exons than mRNAs. For the systematic evaluation of C. elegans lincRNAs, CRISPR knockout strains for 155 out of all the 170 C. elegans lincRNAs were produced. Mutants of 23 lincRNAs have shown phenotypes in 6 traits analyzed. We have investigated these phenotypic lincRNAs for their gene expression patterns and their potential functional mechanisms. Some C. elegans lincRNAs play cis roles to modulate the expression of their neighboring genes, and some other lincRNAs play trans roles as ceRNAs against microRNAs. LincRNAs are extensively regulated by transcription factors, and we dissect the pathway that two transcription factors UNC-30 and UNC-55 control the expression of linc-73 together. Furthermore, linc-73 plays a cis role to modulate the expression of its neighboring gene unc-104, and thus regulates the formation of presynapses. Conclusions: By using CRISPR/cas9 technology, we have generated knockout strains of 155 C. elegans lincRNAs as valuable resources for studies in noncoding RNAs, and we provide biological insights for 23 phenotypic lincRNAs identified from 6 traits examined.
2018-12-27 | GSE115321 | GEO
Project description:Background: LincRNAs play critical roles in eukaryotic cells, but systematic analyses of lincRNAs of an animal for phenotypes have been missing. We have generated CRISPR knockout strains for C. elegans lincRNAs and have evaluated their phenotypes Results: C. elegans lincRNAs demonstrate global features such as shorter length and fewer exons than mRNAs. For the systematic evaluation of C. elegans lincRNAs, CRISPR knockout strains for 155 out of all the 170 C. elegans lincRNAs were produced. Mutants of 23 lincRNAs have shown phenotypes in 6 traits analyzed. We have investigated these phenotypic lincRNAs for their gene expression patterns and their potential functional mechanisms. Some C. elegans lincRNAs play cis roles to modulate the expression of their neighboring genes, and some other lincRNAs play trans roles as ceRNAs against microRNAs. LincRNAs are extensively regulated by transcription factors, and we dissect the pathway that two transcription factors UNC-30 and UNC-55 control the expression of linc-73 together. Furthermore, linc-73 plays a cis role to modulate the expression of its neighboring gene unc-104, and thus regulates the formation of presynapses. Conclusions: By using CRISPR/cas9 technology, we have generated knockout strains of 155 C. elegans lincRNAs as valuable resources for studies in noncoding RNAs, and we provide biological insights for 23 phenotypic lincRNAs identified from 6 traits examined.
2018-12-27 | GSE115320 | GEO
Project description:Background: LincRNAs play critical roles in eukaryotic cells, but systematic analyses of lincRNAs of an animal for phenotypes have been missing. We have generated CRISPR knockout strains for C. elegans lincRNAs and have evaluated their phenotypes Results: C. elegans lincRNAs demonstrate global features such as shorter length and fewer exons than mRNAs. For the systematic evaluation of C. elegans lincRNAs, CRISPR knockout strains for 155 out of all the 170 C. elegans lincRNAs were produced. Mutants of 23 lincRNAs have shown phenotypes in 6 traits analyzed. We have investigated these phenotypic lincRNAs for their gene expression patterns and their potential functional mechanisms. Some C. elegans lincRNAs play cis roles to modulate the expression of their neighboring genes, and some other lincRNAs play trans roles as ceRNAs against microRNAs. LincRNAs are extensively regulated by transcription factors, and we dissect the pathway that two transcription factors UNC-30 and UNC-55 control the expression of linc-73 together. Furthermore, linc-73 plays a cis role to modulate the expression of its neighboring gene unc-104, and thus regulates the formation of presynapses. Conclusions: By using CRISPR/cas9 technology, we have generated knockout strains of 155 C. elegans lincRNAs as valuable resources for studies in noncoding RNAs, and we provide biological insights for 23 phenotypic lincRNAs identified from 6 traits examined.
2018-12-27 | GSE122973 | GEO
Project description:Systematic evaluation of C. elegans lincRNAs with CRISPR knockout mutants [miRNA-seq]
| PRJNA474534 | ENA
Project description:Systematic evaluation of C. elegans lincRNAs with CRISPR knockout mutants [lncRNA-seq]
| PRJNA474535 | ENA
Project description:Systematic evaluation of C. elegans lincRNAs with CRISPR knockout mutants [ChIP-Seq]
| PRJNA507090 | ENA
Project description: Not available
| S-EPMC6325887 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2018-12-27 | GSE115324 | GEO
Project description:Systematic evaluation of chromosome conformation capture assays
| PRJNA698572 | ENA
Project description:The most widely used method for detecting genome-wide protein-DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Here, we conducted the first objective analysis of tiling array platforms, amplification procedures, and signal detection algorithms in a simulated ChIP-chip experiment. Mixtures of human genomic DNA and spike-ins comprised of nearly 100 human sequences at various concentrations were hybridized to four tiling array platforms by eight independent groups. Blind to the number of spike-ins, their locations, and the range of concentrations, each group made predictions of the spike-in locations. We found that microarray platform choice is not the primary determinant of overall performance. In fact, variation in performance between labs, protocols and algorithms within the same array platform was greater than the variation in performance between array platforms. However, each array platform had unique performance characteristics that varied with tiling resolution and the number of replicates, which have implications for cost versus detection power. Long oligonucleotide arrays were slightly more sensitive at detecting very low enrichment. On all platforms, simple sequence repeats and genome redundancy tended to result in false positives. LM-PCR and WGA, the most popular sample amplification techniques, reproduced relative enrichment levels with high fidelity. Performance among signal detection algorithms was heavily dependent on array platform. The spike-in DNA samples and the data presented here provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. This SuperSeries is composed of the following subset Series: GSE9732: Spike-in Experiment for ChIP-chip Simulation GSE9842: Systematic evaluation of variability in simulated ChIP-chip experiments GSE9848: Systematic evaluation of variability in simulated ChIP-chip experiments Kevin_Encode GSE9849: Systematic evaluation of variability in simulated ChIP-chip experiments Myles_Encode GSE10004: ENCODE Spike-In, Yale Group GSE10076: ENCODE spikein, amplified DNA samples, NimbleGen arrays GSE10090: ENCODE spikein, nonamplified DNA samples, NimbleGen arrays GSE10112: Systematic evaluation of variability in simulated ChIP-chip experiments Keywords: SuperSeries For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf Refer to individual Series
2010-09-30 | E-GEOD-10114 | biostudies-arrayexpress