refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 84 results
Sort by

Filters

Technology

Platform

accession-icon GSE38045
The global gene expression pattern between human fibroblasts and human neural stem cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Recent advances in direct reprogramming using cell type-specific transcription factors provide an unprecedented opportunity for rapid generation of desired human cell types from easily accessible tissues. However, due to the diversity of conversion factors that facilitate the process, an arduous screening step is inevitable to find the appropriate combination(s). Here, we show that under chemically defined conditions minimal pluripotency factors are sufficient to directly reprogram human fibroblasts into stably self-renewing neural progenitor/stem cells (NSCs), but without passing through a pluripotent intermediate stage. These NSCs can be expanded and propagated in vitro without losing their potential to differentiate into various neuronal subtypes and glia. Our direct reprogramming strategy represents a simple and advanced paradigm of direct conversion that will provide an unlimited source of human neural cells for cell therapy, disease modeling, and drug screening.

Publication Title

Small molecules enable OCT4-mediated direct reprogramming into expandable human neural stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE24177
Gene expression changes in response to drought stress in Arabidopsis reveal early responses leading to acclimation in plant growth
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant drought stress response and resistance are complex biological processes that merit systems-level analyses to dissect drought stress encountered by crops in the field. We have used gene expression profiling of Arabidopsis plants subjected to a controlled, sublethal, moderate drought (mDr) treatment to characterize early and late response to drought. We have also compared these profiles to those from plants treated with soil water deficit (progressive) drought (pDr) to reveal acclimation responses in plants.

Publication Title

Molecular and physiological analysis of drought stress in Arabidopsis reveals early responses leading to acclimation in plant growth.

Sample Metadata Fields

Specimen part, Treatment

View Samples
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 GSE36810
Expression data from mouse lungs exposed in-utero and/or as an adult to second-hand smoke (SHS)
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Second-hand smoke (SHS) exposure during pregnancy has adverse effects on offspring. We used microarrays to characterize the gene expression changes caused by in-utero exposure and adult exposure to SHS in adult mouse lungs.

Publication Title

In utero exposure to second-hand smoke aggravates adult responses to irritants: adult second-hand smoke.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE38409
Expression data from mouse lungs, exposed in-utero to second-hand smoke (SHS) and challenged with ovalbumin (OVA) as adults.
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

SHS exposure during pregnancy has adverse effects on offspring.

Publication Title

In utero exposure to second-hand smoke aggravates the response to ovalbumin in adult mice.

Sample Metadata Fields

Sex, Specimen part

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 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 SRP055108
Global Gene Expression analysis of CUTLL1 cell lines after treatment with Perhexiline
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We identify perhexiline, a small molecule inhibitor of mitochondrial carnitine palmitoyltransferase-1, as a HES1-signature antagonist drug with robust antileukemic activity against NOTCH1 induced leukemias in vitro and in vivo. Overall design: RNA-Seq from CUTLL1 cell lines treated with Perhexiline or vehicle for 3 days

Publication Title

Therapeutic targeting of HES1 transcriptional programs in T-ALL.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18866
Expression data from doxycylin-inducible miR-15a/16-1 and empty vector (EV) expression in a 13q14-\- cell line
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Reexpression of microRNAs miR-15a/16-1 in a cell line deficient for these miRs (homozygous deletion of chromosomal region 13q14) results in the downregulation of certain mRNAs.

Publication Title

The DLEU2/miR-15a/16-1 cluster controls B cell proliferation and its deletion leads to chronic lymphocytic leukemia.

Sample Metadata Fields

Cell line

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact