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accession-icon GSE67229
Topaz1, a germ cell specific factor essential for male meiotic progression.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Testicular gene expression changes with loss of Topaz1

Publication Title

TOPAZ1, a germ cell specific factor, is essential for male meiotic progression.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP166459
Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors [Modifications - validation]
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Base Editing has been touted the most intelligent and precise application of the CRISPR platform so far, merging the simplicity of RNA-guided nucleases with deaminases that allow for the programmable generation of single base substitutions - without introduction of double-strand breaks. Even though the two-component system has been expected to cause off-target substitutions, studies involving cytosine base editors (CBEs) showed that in most cases, relatively few single base off-targets could be detected on DNA. We introduce the concept of multi-dimensional off-targeting, presenting an extensive amount of RNA cytidines being edited by DNA base editors. Epitranscriptomic off-target effects affected different cell lines and were independent of the guide RNAs used, suggesting Cas9-independent activity of the cytidine deaminase rAPOBEC1 on single-stranded RNA. With the help of protein engineering, we developed CBE variants with massively reduced inadvertent mutation of RNA that preserve and enhance DNA base editing capabilities. Overall design: HEK293T and HepG2 cells were transfected with regular and modified pCAG-BE3-P2A-EGFP or control pCAG-nCas9(D10A)-UGI-NLS-P2A-EGFP or control pCAG-P2A-EGFP constructs with various gRNAs as described below. Cells were sorted for top 5% GFP or all GFP + cells based on FITC signal. RNA-seq was performed to measure transcriptional changes associated with different constructs and guides.

Publication Title

Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors.

Sample Metadata Fields

Cell line, Treatment, Subject

View Samples
accession-icon SRP166458
Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors [BaseEditors - RNA]
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Base Editing has been touted the most intelligent and precise application of the CRISPR platform so far, merging the simplicity of RNA-guided nucleases with deaminases that allow for the programmable generation of single base substitutions - without introduction of double-strand breaks. Even though the two-component system has been expected to cause off-target substitutions, studies involving cytosine base editors (CBEs) showed that in most cases, relatively few single base off-targets could be detected on DNA. We introduce the concept of multi-dimensional off-targeting, presenting an extensive amount of RNA cytidines being edited by DNA base editors. Epitranscriptomic off-target effects affected different cell lines and were independent of the guide RNAs used, suggesting Cas9-independent activity of the cytidine deaminase rAPOBEC1 on single-stranded RNA. With the help of protein engineering, we developed CBE variants with massively reduced inadvertent mutation of RNA that preserve and enhance DNA base editing capabilities. Overall design: HEK293T and HepG2 cells were transfected with pCAG-BE3-P2A-EGFP or control pCAG-nCas9(D10A)-UGI-NLS-P2A-EGFP or control pCAG-P2A-EGFP constructs with various gRNAs as described below. Cells were sorted for top 5% GFP or all GFP + cells based on FITC signal. RNA-seq was performed to measure transcriptional changes associated with different constructs and guides.

Publication Title

Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors.

Sample Metadata Fields

Cell line, Treatment, Subject

View Samples
accession-icon SRP166457
Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors [Modifications - screen]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Base Editing has been touted the most intelligent and precise application of the CRISPR platform so far, merging the simplicity of RNA-guided nucleases with deaminases that allow for the programmable generation of single base substitutions - without introduction of double-strand breaks. Even though the two-component system has been expected to cause off-target substitutions, studies involving cytosine base editors (CBEs) showed that in most cases, relatively few single base off-targets could be detected on DNA. We introduce the concept of multi-dimensional off-targeting, presenting an extensive amount of RNA cytidines being edited by DNA base editors. Epitranscriptomic off-target effects affected different cell lines and were independent of the guide RNAs used, suggesting Cas9-independent activity of the cytidine deaminase rAPOBEC1 on single-stranded RNA. With the help of protein engineering, we developed CBE variants with massively reduced inadvertent mutation of RNA that preserve and enhance DNA base editing capabilities. Overall design: HEK293T cells were transfected with pCAG-BE3-P2A-EGFP or variants thereof or control pCAG-nCas9(D10A)-UGI-NLS-P2A-EGFP or control pCAG-P2A-EGFP constructs with various gRNAs as described below. Cells were sorted for top 5% GFP or all GFP + cells based on FITC signal. RNA-seq was performed to measure transcriptional changes associated with different constructs and guides.

Publication Title

Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors.

Sample Metadata Fields

Cell line, Treatment, Subject

View Samples
accession-icon SRP190024
Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors [P2A-EGFP control]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Base Editing has been touted the most intelligent and precise application of the CRISPR platform so far, merging the simplicity of RNA-guided nucleases with deaminases that allow for the programmable generation of single base substitutions - without introduction of double-strand breaks. Even though the two-component system has been expected to cause off-target substitutions, studies involving cytosine base editors (CBEs) showed that in most cases, relatively few single base off-targets could be detected on DNA. We introduce the concept of multi-dimensional off-targeting, presenting an extensive amount of RNA cytidines being edited by DNA base editors. Epitranscriptomic off-target effects affected different cell lines and were independent of the guide RNAs used, suggesting Cas9-independent activity of the cytidine deaminase rAPOBEC1 on single-stranded RNA. With the help of protein engineering, we developed CBE variants with massively reduced inadvertent mutation of RNA that preserve and enhance DNA base editing capabilities. Overall design: HEK293T or HepG2 cells were transfected with P2A-EGFP. Cells were sorted for top 5% GFP based on FITC signal. RNA-seq was performed to measure transcriptional changes associated with different constructs.

Publication Title

Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE27444
Expression data from zinc-finger-transcription-factor-induced Fulvestrant-Resistant MCF7 Cell Lines
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple gene expression studies have demonstrated that breast cancer biological diversity is associated with distinct transcriptional programs. Transcription factors, because of their unique ability to coordinate the expression of multiple genes, are speculated to play a role in generating phenotypic plasticity associated with cancer progression including acquired drug resistance. Combinatorial libraries of artificial zinc-finger transcription factors (ZF-TFs) provide a robust means for inducing and understanding various functional components of the cancer phenotype. Herein, we utilized combinatorial ZF-TF library technology to better understand how breast cancer cells acquire resistance to a fulvestrant, a clinically important anti-endocrine therapeutic agent. We isolated six ZF-TF library members capable of inducing stable, long-term anti-endocrine drug-resistance in two independent estrogen receptor positive breast cancer cell lines. Comparative gene expression profile analysis of the ZF-TF-transduced breast cancer cell lines revealed a 72-gene cluster that constituted a common signature for the fulvestrant-resistance phenotype. Pathway enrichment-analysis of gene expression data revealed that the ZF-TF-induced fulvestrant resistance is associated with an estrogen receptor negative-like gene set and four unique myb-regulated gene sets. Furthermore, we identified a set of genes strongly expressed in the ZF-TF-induced fulvestrant-resistant cells that was correlated with a lower probability of distant metastasis-free or death-from-relapse-free survival of breast cancer patients.

Publication Title

Induction of stable drug resistance in human breast cancer cells using a combinatorial zinc finger transcription factor library.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE115194
Gene expression in Dmxl2 knockout and wild type gonads at birth in mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Testicular and ovarian gene expression changes with loss of DMXL2

Publication Title

Dual role of DMXL2 in olfactory information transmission and the first wave of spermatogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP108852
Genome-scale Activation Screen Identifies a LncRNA Locus Regulating a Gene Neighborhood [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The mammalian genome contains thousands of loci that transcribe long noncoding RNAs (lncRNAs), some of which are known to play critical roles in diverse cellular processes through a variety of mechanisms. While some lncRNA loci encode RNAs that act non-locally (in trans), emerging evidence indicates that many lncRNA loci act locally (in cis) to regulate expression of nearby genes—for example, through functions of the lncRNA promoter, transcription, or transcript itself. Despite their potentially important roles, it remains challenging to identify functional lncRNA loci and distinguish among these and other mechanisms. To address these challenges, we developed a genome-scale CRISPR-Cas9 activation screen targeting more than 10,000 lncRNA transcriptional start sites (TSSs) to identify noncoding loci that influence a phenotype of interest. We found 11 novel lncRNA loci that, upon recruitment of an activator, each mediate BRAF inhibitor resistance in melanoma. Most candidate loci appear to regulate nearby genes. Detailed analysis of one candidate, termed EMICERI, revealed that its transcriptional activation results in dosage-dependent activation of four neighboring protein-coding genes, one of which confers the resistance phenotype. Our screening and characterization approach provides a CRISPR toolkit to systematically discover functions of noncoding loci and elucidate their diverse roles in gene regulation and cellular function. Overall design: RNA-seq on A375 cells overexpressing candidate lncRNA or protein-coding gene.

Publication Title

Genome-scale activation screen identifies a lncRNA locus regulating a gene neighbourhood.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP076139
ATAC-seq data from 3 cancer cell lines and RNA-seq data from 1 cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

RNA-seq and ATAC-seq data to understand how gene regulation and chromatin accessibility correlates with function enrichment in CRISPR screen for melanoma drug resistance

Publication Title

Genome-scale activation screen identifies a lncRNA locus regulating a gene neighbourhood.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP045763
Dynamics of gene silencing during X inactivation using allele-specific RNA-Seq
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon

Description

Background: During early embryonic development, one of the two X chromosomes in mammalian female cells is inactivated to compensate for a potential imbalance in transcript levels with male cells containing a single X chromosome. We use mouse female Embryonic Stem Cells (ESCs) with nonrandom XCI and polymorphic X chromosomes to study the dynamics of gene silencing over the inactive X chromosome (Xi) by high-resolution allele-specific RNA-Seq. Results: Induction of XCI by differentiation of female ESCs shows that genes proximal to the X-inactivation center (XIC) are silenced earlier than distal genes, while lowly expressed genes show faster XCI dynamics than highly expressed genes. The active X chromosome shows a minor but significant increase in gene activity during differentiation, resulting in complete dosage compensation in differentiated cell types. Genes escaping XCI show little or no silencing during early propagation of XCI. Using allele-specific RNA-Seq of Neural Progenitor Cells (NPCs) generated from the female ESCs, we identify three regions distal to the XIC that stably escape XCI during differentiation of the female ESCs, as well as during propagation of the NPCs. These regions coincide with Topologically Associated Domains (TADs) as determined in the undifferentiated female ESCs. Also the previously characterized human gene clusters escaping XCI correlate with TADs. Conclusions: Together, the dynamics of gene silencing observed over the Xi during XCI provide further insight in the formation and maintenance of the repressive Xi complex. The association of regions of escape with TADs, in mouse and human, suggests a regulatory role for TADs during propagation of XCI. Overall design: 19 RNA-Seq profiles of mouse ESCs, EpiSCs and NPCs, mostly from distant crosses to allow allele specific mapping. 1 HiC profile of an undifferentiated mouse female ESC line containing a Tsix mutation. Mainly focusing on X inactivation.

Publication Title

Dynamics of gene silencing during X inactivation using allele-specific RNA-seq.

Sample Metadata Fields

No sample metadata fields

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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