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ShRNA off target analysis via RNAseq

ABSTRACT: shRNAs were assessed for off-target effects by comparing the gene expression profiles of cells that they had been infected into. shRNAs designed with the shERWOOD algorithm and house in the ultramir microRNA scafold were found to have very little off targeting.

ORGANISM(S): Mus musculus

PROVIDER: GSE62184 | GEO | 2014/11/24

SECONDARY ACCESSION(S): PRJNA263393

REPOSITORIES: GEO

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shRNA off target analysis via RNAseq

Project description:shRNAs were assessed for off-target effects by comparing the gene expression profiles of cells that they had been infected into. shRNAs designed with the shERWOOD algorithm and house in the ultramir microRNA scafold were found to have very little off targeting. Purpose: A major detriment to RNAi is off-targeting. We wished to assess the level of off targeting of microRNA (ultramiR) housed shERWOOD shRNAs as compared to similar shRNAs in the TRC collection. Methods: 5 shRNAs targeting each of two genes were infected into the 4T1 cell line. For each gene one shRNA was selected from the TRC collection and one based on the shERWOOD algorithm. For each gene, the exrpession profiles of the corresponding shRNA infected cells were compared using RNAseq. Conclusions: Highly similar profiles were observed between shERWOOD selected shRNAs. TRC shRNAs produced profiles indicative of off-targeting.

2014-11-24 | E-GEOD-62184 | biostudies-arrayexpress

shRNA Sensor Analysis of 5' U converted shRNAs reveals 3' target bias exists in addition to 5' guide bias

Project description:shRNAs selected with the shERWOOD algorithm were converted to have a U at the 5' end of their guide. When endogenous 1U shRNAs were compared to artificial shRNA via the sensor algorithm, the endogenous shRNAs were found to be more efficacious. Purpose: Structural studies have hinted that the 5' end of shRNA guides is engulfed in the RISC complex. It has also been reported that shRNAs with a 5' U are more efficacious than those with other 5' caps. We wished to determine whether replacement of shRNA guide 5' nucleotides with a U, regardless of the corresponding target base, would increase their efficacy. Method: For each gene in the "druggable genome" 10 shRNAs were selected with the shERWOOD algorithm. In each case the score was assessed as if the guide had a 5' U. Sensor constructs were designed pairing 1U-guide shRNAs with their endogenous target. shRNAs were assessed for efficacy via the shRNA sensor assay (Fellmann et al. Mol Cell 2011). Results: shRNAs with artificial 5' Us were found to be less efficacious than those with an endogenous 5' U,

2014-11-24 | E-GEOD-62186 | biostudies-arrayexpress

shRNA Sensor Analysis of 5' U converted shRNAs reveals 3' target bias exists in addition to 5' guide bias

2014-11-24 | GSE62186 | GEO

An optimized microRNA scaffold increases shRNA processing and target knockdown

Project description:Two shRNAs were placed into expression vectors harboring mir30 microRNA scaffold and an optimized scaffold where the artificial restriction sights in mir30 have been removed. After infection and selection shRNA processing was assessed by small-RNA cloning. For both shRNAs, placement into the optimized scaffold resulted in a ~two-fold increase in processing (based on smallRNA levels). Purpose: Others have reported that the EcoRI site that was introduced to the mir30 scaffold results in decreased smallRNA processing and hence reduced target knockdown. We've developed an alternative scaffold (termed ultramir) where this site is removed. smallRNA cloning was used to determine if the movement of this sight resulted in an increase in shRNA processing. Method: Two shRNAs (one targeting Renilla Luciferase and one targeting Human RPA3) were cloned into the original mir30 cassette the ultramir cassette. Each of the 4 constructs were infected in duplicate at single copy into cells and the cells seltected unitil infection percentages reached >90% (the shRenilla hairpin was infected into HEK293T cells and the shRPA3 construts into the Gallus gallus cell line ERC. After selection smallRNA cloning was perfromed and the amount of smallRNAs corrresponding to the two shRNAs compared to the endogenous microRNA populatlon. Results: smallRNA levels of the two shRNAs doubled relative to the microRNA population when they were placed into the ultramir scaffold.

2014-11-24 | E-GEOD-62187 | biostudies-arrayexpress

An optimized microRNA scaffold increases shRNA processing and target knockdown

2014-11-24 | GSE62187 | GEO

shRNA Sensor Analysis of DSIR Selected shRNAs

Project description:Purpose: Generate a large, high quality database of paired shRNA efficacy/sequence datapoints. Methods:Twelve shRNAs for each Refseq annotated human gene were selected based on the DSIR algorithm. Twelve batches of ~22K shRNAs (corresponding to 12 agilent chips) were then assessed for efficacy via the sensor method outlined in Fellmann et al, Mol Cell, 2011. Conclusions: Neighboring nucleotide combinations are best at predicting shRNA efficacy.

2014-11-24 | E-GEOD-62183 | biostudies-arrayexpress

A genome-scale shRNA resource for transgenic RNAi in Drosophila

Project description:Existing transgenic RNAi resources in Drosophila utilize the expression of long double stranded hairpin RNAs and are powerful tools for the identification and characterization of genes involved in various processes. However, they are ineffective to knockdown genes during oogenesis, an important model system for the study of numerous fundamental questions in biology. Here, we show that short hairpin RNAs (shRNAs), modeled on an endogenous microRNA, are extremely effective at silencing gene expression during oogenesis. We also describe our progress towards building a genome-wide shRNA resource.

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Track normalization and averaging of bislufite-seq DNA methylation data across various cell and tissue types

Project description:Data tracks from bisulfite sequencing (BS-seq) experiments were sorted by tissue or cell types and processed using an in-house algorithm that provides normalization functionality followed by generation of a track average. Re-analysis of Roadmap Epigenomics DNA methylation datasets using an in-house algorithm to create an average data track.

2015-01-20 | E-GEOD-64577 | biostudies-arrayexpress

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The effect of combined detection of fecal multi-target DNA and microRNA-135b in screening of colorectal cancer

Project description:Interventions: Gold Standard:colonoscopy and pathology;Index test:Stool multi-target DNA and microRNA-135b Primary outcome(s): Stool multi-target DNA and microRNA-135b Study Design: Diagnostic test for accuracy

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