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accession-icon GSE10565
Identification of targets of transcription factor Trp63: primary keratinocytes
  • organism-icon Mus musculus
  • sample-icon 28 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

Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10562
Induction of ERDNp63a via Tamoxifen in primary keratinocytes
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Genome-wide identification of bona fide targets of transcription factors in mammalian cells is still a challenge. We present a novel integrated computational and experimental approach to identify direct targets of a transcription factor. This consists in measuring time-course (dynamic) gene expression profiles upon perturbation of the transcription factor under study, and in applying a novel reverse-engineering algorithm (TSNI) to rank genes according to their probability of being direct targets. Using primary keratinocytes as a model system, we identified novel transcriptional target genes of Trp63, a crucial regulator of skin development. TSNI-predicted Trp63 target genes were validated by Trp63 knockdown and by ChIP-chip to identify Trp63-bound regions in vivo. Our study revealed that short sampling times, in the order of minutes, are needed to capture the dynamics of gene expression in mammalian cells. We show that Trp63 transiently regulates a subset of its direct targets, thus highlighting the importance of considering temporal dynamics when identifying transcriptional targets. Using this approach, we uncovered a previously unsuspected transient regulation of the AP-1 complex by Trp63, through direct regulation of a subset of AP-1 components. The integrated experimental and computational approach described here is readily applicable to other transcription factors in mammalian systems and is complementary to genome-wide identification of transcription factor binding sites.

Publication Title

Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10563
Primary keratinocytes treated with Tamoxifen
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Genome-wide identification of bona fide targets of transcription factors in mammalian cells is still a challenge. We present a novel integrated computational and experimental approach to identify direct targets of a transcription factor. This consists in measuring time-course (dynamic) gene expression profiles upon perturbation of the transcription factor under study, and in applying a novel reverse-engineering algorithm (TSNI) to rank genes according to their probability of being direct targets. Using primary keratinocytes as a model system, we identified novel transcriptional target genes of Trp63, a crucial regulator of skin development. TSNI-predicted Trp63 target genes were validated by Trp63 knockdown and by ChIP-chip to identify Trp63-bound regions in vivo. Our study revealed that short sampling times, in the order of minutes, are needed to capture the dynamics of gene expression in mammalian cells. We show that Trp63 transiently regulates a subset of its direct targets, thus highlighting the importance of considering temporal dynamics when identifying transcriptional targets. Using this approach, we uncovered a previously unsuspected transient regulation of the AP-1 complex by Trp63, through direct regulation of a subset of AP-1 components. The integrated experimental and computational approach described here is readily applicable to other transcription factors in mammalian systems and is complementary to genome-wide identification of transcription factor binding sites.

Publication Title

Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MTAB-2827
OFD1 interacts with the Preinitiation complex of translation and regulates translation of specific targets in the kidney
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

OFD1 is a centrosomal/basal body protein codified by a transcript that when mutated results in OFD type I (OFDI) syndrome, a pleiotropic disorders associated with ciliary dysfunction. We demonstrate that components of the Preinitiation complex of translation (PIC) colocalize to the centrosome and interact with OFD1. We showed that OFD1 functionally controls the protein synthesis machinery, modulating the translation of specific mRNAs in the kidney. Our results indicate a new role for a centrosomal/basal body protein. The dataset contains the microarray data on total and polysomal RNA from control and Ofd1-IND mutant kidneys at P8.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE10564
Silencing of p63 (trp63) in primary keratinocytes via siRNA oligo transfection.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Genome-wide identification of bona fide targets of transcription factors in mammalian cells is still a challenge. We present a novel integrated computational and experimental approach to identify direct targets of a transcription factor. This consists in measuring time-course (dynamic) gene expression profiles upon perturbation of the transcription factor under study, and in applying a novel reverse-engineering algorithm (TSNI) to rank genes according to their probability of being direct targets. Using primary keratinocytes as a model system, we identified novel transcriptional target genes of Trp63, a crucial regulator of skin development. TSNI-predicted Trp63 target genes were validated by Trp63 knockdown and by ChIP-chip to identify Trp63-bound regions in vivo. Our study revealed that short sampling times, in the order of minutes, are needed to capture the dynamics of gene expression in mammalian cells. We show that Trp63 transiently regulates a subset of its direct targets, thus highlighting the importance of considering temporal dynamics when identifying transcriptional targets. Using this approach, we uncovered a previously unsuspected transient regulation of the AP-1 complex by Trp63, through direct regulation of a subset of AP-1 components. The integrated experimental and computational approach described here is readily applicable to other transcription factors in mammalian systems and is complementary to genome-wide identification of transcription factor binding sites.

Publication Title

Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE19626
Profiling gene expression in Vax2 knockout compared with wild type mice
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Total RNA samples from Vax2 knockout mouse eyes (at least two biological replicates) were profiled by gene expression. As control we used total RNA from wild type eyes. The analysis was carried out at five different developmental stages: E10.5, E12.5, E16.5, P8, and P60.

Publication Title

Vax2 regulates retinoic acid distribution and cone opsin expression in the vertebrate eye.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE12100
hsa-mir-26b and hsa-mir-98 overexpression
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MicroRNA target prediction by expression analysis of host genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12091
Profiling gene expression in HeLa cells by hsa-mir-26b overexpression
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Total RNA samples from three biological replicates in which the hsa-mir-26b was overexpressed in HeLa cells were profiled by gene expression. As negative control, we used total RNA samples from HeLa cells transfected with cel-mir-67

Publication Title

MicroRNA target prediction by expression analysis of host genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12092
Profiling gene expression in HeLa cells by hsa-mir-98 overexpression
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Total RNA samples from three biological replicates in which the hsa-mir-98 was overexpressed in HeLa cells were profiled by gene expression. As negative control, we used total RNA samples from HeLa cells transfected with cel-mir-67

Publication Title

MicroRNA target prediction by expression analysis of host genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE73482
Gene expression patterns in allergen-driven CD4 T cell responses from human atopics with or without asthma.
  • organism-icon Homo sapiens
  • sample-icon 144 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

PBMC from house dust mite (HDM) sensitized atopics with or without asthma (or nonallergic controls) were cultured in the presence or absence of HDM extract for 24 hours.

Publication Title

Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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)

fund-icon Fund the CCDL

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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