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accession-icon GSE16468
Transcriptional and posttranscriptional regulation of transcription factor expression in Arabidopsis roots.
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Understanding how the expression of transcription factor (TF) genes is modulated is essential for reconstructing gene regulatory networks. There is increasing evidence that sequences other than upstream noncoding can contribute to modulating gene expression, but how frequently they do so remains unclear. Here, we investigated the regulation of TFs expressed in a tissue-enriched manner in Arabidopsis roots. For 61 TFs, we created GFP reporter constructs driven by each TF's upstream noncoding sequence (including the 5'UTR) fused to the GFP reporter gene alone or together with the TF's coding sequence. We compared the visually detectable GFP patterns with endogenous mRNA expression patterns, as defined by a genome-wide microarray root expression map.

Publication Title

Transcriptional and posttranscriptional regulation of transcription factor expression in Arabidopsis roots.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE53185
Global Target mRNA Specification and Regulation by RNA-Binding Protein ZFP36/Tristetraprolin/TTP
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Global target mRNA specification and regulation by the RNA-binding protein ZFP36.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE53183
Global Target mRNA Specification and Regulation by RNA-Binding Protein ZFP36/Tristetraprolin/TTP [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tristetraprolin/ZFP36/TTP and ELAVL1/HuR are two disease-relevant RNA-binding proteins (RBPs) that both interact with AU-rich sequences but have antagonistic roles. While ELAVL1 binding has been profiled in several studies, the precise in vivo binding specificity of ZFP36 has not been investigated on a global scale. We determined ZFP36 binding preferences using cross-linking and immunoprecipitation in human embyonic kidney cells and examined combinatorial regulation of AU-rich elements by ZFP36 and ELAVL1. Among the targets ZFP36 binds and negatively regulates the mRNA of genes encoding proteins necessary for immune function and cancer, and other RBPs. Using partial correlation analysis, we were able to quantify the association between ZFP36 binding sites and differential target RNA abundance from ZFP36 overexpression independent of effects from confounding features, such as 3 UTR length. We identified thousands of overlapping ZFP36 and ELAVL1 binding sites, in 1,313 genes. ZFP36 preferentially interacts with and regulates AU-rich sequences while ELAVL1 prefers predominantly U- and CU-rich sequences. RNA target specificity identified by global in vivo ZFP36-mRNA interactions were quantitatively similar to previously reported in vitro binding affinities. ZFP36 and ELAVL1 both bind an overlapping spectrum of RNA sequences, yet with differential relative preferences that dictate combinatorial regulatory potential. Our findings and methodology delineate an approach to untangle the in vivo combinatorial regulation by RNA-binding proteins.

Publication Title

Global target mRNA specification and regulation by the RNA-binding protein ZFP36.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE8934
A high resolution organ expression map reveals novel expression patterns and predicts cellular function
  • organism-icon Arabidopsis thaliana
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcriptional programs that regulate development are exquisitely controlled in space and time. Elucidating these programs that underlie development is essential to understanding the acquisition of cell and tissue identity. We present microarray expression profiles of a high resolution set of developmental time points within a single Arabidopsis root, and a comprehensive map of nearly all root cell-types. These cell-type specific transcriptional signatures often predict novel cellular functions. A computational pipeline identified dominant expression patterns that demonstrate transcriptional connections between disparate cell types. Dominant expression patterns along the roots longitudinal axis do not strictly correlate with previously defined developmental zones, and in many cases, expression fluctuation along this axis was observed. Both robust co-regulation of gene expression and potential phasing of gene expression were identified between individual roots. Methods that combine these two sets of profiles demonstrate transcriptionally rich and complex programs that define Arabidopsis root development in both space and time.

Publication Title

A high-resolution root spatiotemporal map reveals dominant expression patterns.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE29780
Integrative regulatory mapping indicates that the RNA-binding protein HuR (ELAVL1) couples pre-mRNA processing and mRNA stability
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative regulatory mapping indicates that the RNA-binding protein HuR couples pre-mRNA processing and mRNA stability.

Sample Metadata Fields

Specimen part

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accession-icon GSE29778
HuR (ELAVL1) RIP-chip and knockdown exon array
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Integrative regulatory mapping indicates that the RNA-binding protein HuR (ELAVL1) couples pre-mRNA processing and mRNA stability

Publication Title

Integrative regulatory mapping indicates that the RNA-binding protein HuR couples pre-mRNA processing and mRNA stability.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP050563
Human Promoters Are Intrinsically Directional
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Divergent transcription, in which reverse-oriented transcripts occur upstream of eukaryotic promoters in regions devoid of annotated genes, has been suggested to be a general property of active promoters. Here we show that the human basal RNA polymerase II transcriptional machinery and core promoter are inherently unidirectional, and that reverse-oriented transcripts originate from their own cognate reverse-directed core promoters. In vitro transcription analysis and mapping of nascent transcripts in cells revealed that core promoters are unidirectional and that sequences at reverse start sites are similar to those of their forward counterparts. The use of DNase I accessibility to define proximal promoter borders revealed that about half of promoters are unidirectional and that these unidirectional promoters are depleted at their upstream edges of reverse core promoter sequences and their associated chromatin features. Divergent transcription is thus not an inherent property of the transcription process, but rather the consequence of the presence of both forward- and reverse-directed core promoters. Overall design: Using 5''-GRO-seq and GRO-seq to determine mechanisms of divergent transcription initiation

Publication Title

Human promoters are intrinsically directional.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60157
Bird Factors integrate positional signals to coordinate asymmetric cell division and cell fate
  • organism-icon Arabidopsis thaliana
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We sorted for GFP+ cells using the enhancer trap J0571 with the UAS promoter driving the expression of different BIRD genes. Different genetic backgrounds are use and listed below.

Publication Title

Transcriptional control of tissue formation throughout root development.

Sample Metadata Fields

Specimen part

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accession-icon GSE28540
Activity of SigB Modulates Virulence Gene Expression in a Murine Staphylococcus aureus Infection Model but Does Not Influence the Host Kidney Gene Expression
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Background. Infections caused by Staphylococcus aureus are associated with significant morbidity and mortality and are an increasing threat not only in hospital settings. The expression of the staphylococcal virulence factor repertoire is known to be affected by the alternative sigma factor B (SigB). However, its impact during infection still is a matter of debate. Methods. Kidney tissue of controls or mice infected with S. aureus HG001 or its isogenic sigB mutant was analyzed by transcriptome profiling to monitor the host response, and additionally expression of selected S. aureus genes was monitored by RT-qPCR. Results. Direct transcript analysis by RT-qPCR revealed significant SigB activity in all mice infected with the wild type strain (WT), but not in its isogenic sigB mutant (p<0.0001). Despite a clear cut difference in the SigB-dependent transcription pattern of virulence genes (clfA, aur, and hla), the host reaction to infection (either WT or sigB mutant) was almost identical. Conclusions. Despite its significant activity in vivo, loss of SigB did not have an effect on the outcome of infection as well as on murine kidney gene expression pattern. Thus, these data support the role of SigB as virulence modulator rather than being a virulence determinant by itself.

Publication Title

The alternative sigma factor B modulates virulence gene expression in a murine Staphylococcus aureus infection model but does not influence kidney gene expression pattern of the host.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP074757
A multi-step transcriptional and chromatin cascade underlies motor neuron programming (single-cell RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 768 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Direct programming via the overexpression of transcription factors (TFs) aims to control cell fate at a precision that will be instrumental for clinical applications. However, direct programming of terminal fates remains an obscure process. Taking advantage of the rapid and uniquely efficient programming of spinal motor neurons by overexpression of Ngn2, Isl1 and Lhx3, we have characterized gene expression, chromatin and transcription factor binding time-course dynamics during complete motor neuron programming. Our studies point to a surprisingly dynamic programming process. Promoter chromatin and expression analysis reveals at least three distinct phases of gene activation, while programming factor binding shifts from one set of targets to another, controlling regulatory region activity and gene expression. Furthermore, our evidence suggest that the enhancers and genes activated in the final stage of motor neuron processing are dependent on the combined activities of Isl1 and Lhx3 factors with Ebf and Onecut TFs that are themselves activated midway through the programming process. Our results suggest an unexpected multi-stage model of motor neuron programming in which the programming TFs require activation of a set of intermediate regulators before they complete the programming process. Overall design: Gene expression was characterized by single-cell RNA-seq during the direct programming of ES cells into motor neurons using over-expression of Ngn2-Isl1-Lhx3 programming factors.

Publication Title

A Multi-step Transcriptional and Chromatin State Cascade Underlies Motor Neuron Programming from Embryonic Stem Cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment, 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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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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