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accession-icon GSE44252
Expression data from mouse ES cells after control RNAi (scramble siRNAs) or specific RNAi (siRNAs for specific genes) treatment
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To address the functional role of MOF in mammalian X upregulation, male and female mouse ES cells were transfected with a mixture of three small interfering RNA duplexes, each of which targets a different region of Mof mRNA. We found that MOF knockdown in mouse ES cells caused a greater drop in expression of X-linked genes compared to autosomal genes, as measured by expression array analyses. The strongest effect was observed on medium-expressed X-linked genes.

Publication Title

Mammalian X upregulation is associated with enhanced transcription initiation, RNA half-life, and MOF-mediated H4K16 acetylation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE44251
Expression data from undifferentiated and differentiated mouse female ES cells PGK12.1
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Affymetrix 430 2.0 mouse arrays were used for expression analyses in undifferentiated and differentiated PGK12.1 ES cells. We found that the X:autosome expression ratios calculated from the mean expression values of X-linked and autosomal genes from microarrays was ~1.4 in undifferentiated female ES cells and then decreased to 1.2 in PGK12.1 cells after 15-day embryoid body differentiation. Thus, a substantial level of X upregulation is already evident in these ES cells prior to differentiation.

Publication Title

Mammalian X upregulation is associated with enhanced transcription initiation, RNA half-life, and MOF-mediated H4K16 acetylation.

Sample Metadata Fields

Specimen part

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accession-icon GSE41288
Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting.

Sample Metadata Fields

Specimen part

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accession-icon GSE41241
Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting [mRNA expression data]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

microRNAs (miRNAs) are essential components of gene regulation, but identification of miRNA targets remains a major challenge. Most target prediction and discovery relies on perfect complementarity of the miRNA seed to the 3 untranslated region (UTR). However, it is unclear to what extent miRNAs target sites without seed matches. Here, we performed a transcriptome-wide identification of the endogenous targets of a single miRNAmiR-155in a genetically controlled manner. We found that approximately forty percent of miR-155-dependent Argonaute binding occurs at sites without perfect seed matches. The majority of these non-canonical sites feature extensive complementarity to the miRNA seed with one mismatch. These non-canonical sites confer regulation of gene expression albeit less potently than canonical sites. Thus, non-canonical miRNA binding sites are widespread, often contain seed-like motifs, and can regulate gene expression, generating a continuum of targeting and regulation.

Publication Title

Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting.

Sample Metadata Fields

Specimen part

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accession-icon SRP057508
Multiplex Single Cell Profiling of Chromatin Accessibility by Combinatorial Cellular Indexing [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq500

Description

Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated prior to biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from over 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas. Overall design: 3 replicates from GM12878 and HL-60 cell lines collected for differential gene expression analysis.

Publication Title

Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP007530
Expression analysis in mouse female PGK12.1 ES cells by RNA-seq
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Many animal species employ a chromosome-based mechanism of sex determination, which has led to coordinate evolution of dosage compensation systems. Dosage compensation not only corrects the imbalance in the number of X-chromosomes between the sexes, but is also hypothesized to correct dosage imbalance within cells due to mono-allelic X expression and bi-allelic autosomal expression, by upregulating X-linked genes (termed â??Ohnoâ??s hypothesisâ??). Although this hypothesis is well supported by expression analyses of individual X-linked genes and by array-based transcriptome analyses, a recent study claimed that no such X upregulation exists in mammals and C. elegans based on RNA-sequencing and proteomics analyses. We provide RNA-seq RNA-seq analysis of mouse female PGK12.1 ES cells with two active X chromosomes and confirmed that the X chromosome is upregulated, consistent with the previous microarray study. Overall design: Examination of expression of X-linked and autosomal genes in mouse female ES cells with two active X chromosomes.

Publication Title

Bipartite structure of the inactive mouse X chromosome.

Sample Metadata Fields

Sex, Cell line, Subject

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accession-icon SRP153396
Joint profiling of chromatin accessibility and gene expression in thousands of single cells
  • organism-icon Homo sapiens
  • sample-icon 472 Downloadable Samples
  • Technology Badge Icon

Description

Here we describe sci-CAR, a combinatorial indexing strategy to jointly profile chromatin accessibility and mRNA in each of thousands of single cells. As a proof-of-concept, we apply sci-CAR to 4,825 cells comprising a time-series of dexamethasone treatment, as well as to 11,233 cells from the mouse kidney. Overall design: single cell RNA-seq and ATAC-seq co-profiling for HEK293T cells, NIH/3T3 cells, A549 cells across three treatment conditions (DEX 0 hour, 1 hour and 3 hour treatment), and wild type mouse kidney.

Publication Title

Joint profiling of chromatin accessibility and gene expression in thousands of single cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30761
Mammalian X upregulation
  • organism-icon Mus musculus, Mus musculus x mus spretus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Evidence for compensatory upregulation of expressed X-linked genes in mammals, Caenorhabditis elegans and Drosophila melanogaster.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon SRP001563
Polymorphic cis- and trans-regulation of human gene expression
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

Expression levels of human genes vary extensive among individuals. Gene expression determines cell function and characteristics thus this variation likely contributes to phenotypic variation. Genetic studies have shown that there is a heritable component to gene expression variation, and have identified genomic regions that contain polymorphic regulators. However, most of these regions are quite large, and few regulators have been identified. In this genetic of gene expression study, we used a large sample to search the genome for polymorphic regulators that influence gene expression, and followed up the results with deep sequencing of transcriptomes and molecular analyses. Key word(s): Transcriptome Analysis Overall design: genetics of gene expression study, 41 Coriell cell line samples examined.

Publication Title

Evidence for compensatory upregulation of expressed X-linked genes in mammals, Caenorhabditis elegans and Drosophila melanogaster.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP001566
Dynamic regulation of alternative splicing and chromatin structure in Drosophila gonads revealed by RNA-seq
  • organism-icon Drosophila melanogaster
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Both transcription and post-transcriptional processes, such as alternative splicing, play crucial roles in controlling developmental programs in metazoans. Recently emerged RNA-seq method has brought our understanding of eukaryotic transcriptomes to a new level, because it can resolve both gene expression level and alternative splicing events simultaneously. To gain a better understanding of cellular differentiation in gonads, we analyzed mRNA profiles from Drosophila testes and ovaries using RNA-seq. We identified a set of genes that have sex-specific isoforms in wild-type (WT) gonads, including several transcription factors. We found that differentiation of sperms from undifferentiated germ cells induced a dramatic downregulation of RNA splicing factors. Our data confirmed that RNA splicing events are significantly more frequent in the undifferentiated cell-enriched bag of marbles (bam) mutant testis, but downregulated upon differentiation in WT testis. Consistent with this, we showed that genes required for meiosis and terminal differentiation in WT testis were mainly regulated at the transcriptional level, but not by alternative splicing. Unexpectedly, we observed an increase in expression of all families of chromatin remodeling factors and histone modifying enzymes in the undifferentiated cell-enriched bam testis. More interestingly, chromatin regulators and histone modifying enzymes with opposite enzymatic activities are coenriched in undifferentiated cells in testis, suggesting that these cells may possess dynamic chromatin architecture. Finally, our data revealed many new features of the Drosophila gonadal transcriptomes, and will lead to a more comprehensive understanding of how differential gene expression and splicing regulate gametogenesis in Drosophila. Our data provided a foundation for the systematic study of gene expression and alternative splicing in many interesting areas of germ cell biology in Drosophila, such as the molecular basis for sexual dimorphism and the regulation of the proliferation vs terminal differentiation programs in germline stem cell lineages. Overall design: RNA-Seq experiments for four Drosophila melanogaster samples: (1) bam mutant testes, (2) wild-type testes, (3) bam mutant ovaries, (4) wild-type ovaries

Publication Title

Evidence for compensatory upregulation of expressed X-linked genes in mammals, Caenorhabditis elegans and Drosophila melanogaster.

Sample Metadata Fields

Specimen part, Subject

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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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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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