refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
    0
github link
Build and Download Custom Datasets
refine.bio helps you build ready-to-use datasets with normalized transcriptome data from all of the world’s genetic databases.
Showing
of 109 results
Sort by

Filters

Technology

Platform

accession-icon GSE41882
Expression profiles in response to HMGA overexpression in late-stage neural precursor cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neural precursor cells (NPCs) in the mammalian neocortex generate various neuronal and glial cell types in a developmental stage-dependent manner. Most neocortical NPCs lose their neurogenic potential after birth. We have previously shown that high mobility group A (HMGA) proteins confer the neurogenic potential on early-stage NPCs during the midgestation period, although the underlying mechanisms are not fully understood. Here we performed microarray analysis and compared expression profiles between control and HMGA2-overexpressed NPCs.

Publication Title

IMP2 regulates differentiation potentials of mouse neocortical neural precursor cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP095238
Transcriptome and Functional Analyses Reveal Roles For Regulators of Epigenetic States, Micro RNA Processing, And Long Non-Coding RNA In Myocyte Dedifferentiation: Insights Into Reprogramming A “Post-Mitotic” Cell
  • organism-icon Danio rerio
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: The ability of adult zebrafish tissues to undergo dedifferentiation provides an opportunity to probe the molecular underpinnings of cell identity and reprogramming. Zebafish muscle regeneration utilizes dedifferentiation to reprogram mature multinucleated myocytes into dedifferentiated myoblast that re-enter the cell cycle. A unique advantage of this system is that the regenerating cell mass is large and fairly homogenous, facilitating genomics approaches to uncovering the underlying biology. Methods: To better understand cellular reprogramming of mature myocytes, we temporally analyzed the changing transcriptome leading up to the proliferative switch. RNA was obtained after Laser Micro-dissection (LMD) of Control, 9 hour post-injury (HPI) or 18 HPI using Trizol and micro column purification. Illumina''s TruSeq Stranded mRNA Library Prep Kit and 0.1 - 4 µg total mRNA from pooled purified RNA samples were used for performing ribosomal-depletion (Ribo-Zero Gold rRNA Removal Kit, Illumina) and library preparation. Sequencing was performed by the UM DNA Sequencing Core, using an Illumina Hi-Seq 2000 (50-cycle, single end read) platform. Results: Clustering and functional annotation of differentially expressed genes highlighted the importance of catabolic and phagocytic processes upregulation at 9 and 18 hours post injury (hpi). Furthermore, genes encoding principle regulators of chromatin states were actively re-regulated during the reprogramming process. Utilizing the accessibility of these tissues in the zebrafish model, kKnockdown experiments enabled in vivo validation and phenotypic analysis of candidate genes and pathways for their roles in genomic and cellular reprogramming. Additionally, we found that despite of their low expression levels, lncRNAs were highly represented in gene clusters with dynamic, “switch-like” expression profiles, and that miRNA processing was also found important for reprogramming Conclusions: We conclude that reprogramming of a “post-mitotic” myocyte into a dedifferentiated myoblast requires both heritable yet nuanced epigenetic alterations and molecular switches that involve transcription factors, miRNA and lncRNA, while maintaining the lineage restriction of the cell of origin. Overall design: Early time points post injury (9 & 18 hours) mRNA and lncRNA profiles of Zebrafish lateral eye muscle (EOM) were generated by deep sequencing, in quadruplicate, using Illumina Hi-seq.

Publication Title

Temporally distinct transcriptional regulation of myocyte dedifferentiation and Myofiber growth during muscle regeneration.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE50225
Wild-type and Mecp2 -/y callosal projection neurons
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mutations of the transcriptional regulator Mecp2 cause the X-linked autism spectrum disorder Rett syndrome (RTT), and Mecp2 has been implicated in several other neurodevelopmental disorders. To identify potential target genes regulated directly or indirectly by MeCP2, we performed comparative gene expression analysis via oligonucleotide microarrays on Mecp2-/y (Mecp2-null) and wild-type CPN purified via fluorescence-activated cell sorting (FACS).

Publication Title

Reduction of aberrant NF-κB signalling ameliorates Rett syndrome phenotypes in Mecp2-null mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP006474
A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins (CLIP)
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Crosslinking and immunoprecipitation (CLIP) is increasingly used to map transcriptome-wide binding sites of RNA-binding proteins (RBPs). We developed a method for CLIP data analysis and applied it to compare 254 nm CLIP with PAR-CLIP, which involves crosslinking of photoreactive nucleotides with 365 nm UV light. We found small differences in the accuracy of these methods in identifying binding sites of HuR, a protein that binds low-complexity sequences and Argonaute 2, which has a complex binding specificity. We show that crosslink-induced mutations lead to single-nucleotide resolution for both PAR-CLIP and CLIP. Our results confirm the expectation from original CLIP publications that RNA-binding proteins do not protect sufficiently their sites under the denaturing conditions used during the CLIP procedure, and we show that extensive digestion with sequence-specific ribonucleases strongly biases the set of recovered binding sites. We finally show that this bias can be substantially reduced by milder nuclease digestion conditions. Overall design: We performed duplicate experiments for each variant of the CLIP protocol (CLIP, PAR-CLIP), each protein (HuR, Ago2), and enzymatic digestion (complete T1 digestion, mild MNase digestion). In addition, we performed a single PAR-CLIP experiment with mild T1 digestion.

Publication Title

A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE56635
Gene expression analysis of directly converted brown adipocytes (dBAs).
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reprogrammed Functional Brown Adipocytes Ameliorate Insulin Resistance and Dyslipidemia in Diet-Induced Obesity and Type 2 Diabetes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56633
Gene expression analysis of directly converted brown adipocytes (dBAs). [human]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparasion of each cell mRNA expression pattern

Publication Title

Reprogrammed Functional Brown Adipocytes Ameliorate Insulin Resistance and Dyslipidemia in Diet-Induced Obesity and Type 2 Diabetes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56634
Gene expression analysis of directly converted brown adipocytes (dBAs). [mouse]
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparasion of each cell mRNA expression pattern

Publication Title

Reprogrammed Functional Brown Adipocytes Ameliorate Insulin Resistance and Dyslipidemia in Diet-Induced Obesity and Type 2 Diabetes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE57534
Expression profiles in HMGN1-overexpressed neural precursor cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neural precursor cells (NPCs) are multipotent cells that can generate neurons, astrocytes, and oligodendrocytes in the mammalian central nervous system. Although high mobility group nucleosomal binding domain 1 (HMGN1) was highly expressed in NPCs, its functions in neural development are not fully understood. We performed microarray analysis to examine changes in gene expression between control and HMGN1-overexpressed NPCs.

Publication Title

High mobility group nucleosome-binding family proteins promote astrocyte differentiation of neural precursor cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE134613
Expression profile of stromal vascular fraction during would healing
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Stromal cells rapidly reorganize cell composition during would healing. Resident stromal cells secrete systemic ligands and mobilize immune cells from bone marrow. Subsequently resident cells and mobilized immune cells cooperate together for efficient wound healing.

Publication Title

Surgical Injury and Ischemia Prime the Adipose Stromal Vascular Fraction and Increase Angiogenic Capacity in a Mouse Limb Ischemia Model.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE43956
Induction of pathogenic Th17 cells by salt inducible kinase SGK-1 (SGK-1 KO)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Th17 cells are highly proinflammatory cells that are critical for clearing extracellular pathogens like fungal infections and for induction of multiple autoimmune diseases1. IL-23 plays a critical role in stabilizing and endowing Th17 cells with pathogenic effector functions2. Previous studies have shown that IL-23 signaling reinforces the Th17 phenotype by increasing expression of IL-23 receptor (IL-23R)3. However, the precise molecular mechanism by which IL-23 sustains the Th17 response and induces pathogenic effector functions has not been elucidated. Here, we used unbiased transcriptional profiling of developing Th17 cells to construct a model of their signaling network and identify major nodes that regulate Th17 development. We identified serum glucocorticoid kinase-1 (SGK1), as an essential node downstream of IL-23 signaling, critical for regulating IL-23R expression and for stabilizing the Th17 cell phenotype by deactivation of Foxo1, a direct repressor of IL-23R expression. A serine-threonine kinase homologous to AKT4, SGK1 has been associated with cell cycle and apoptosis, and has been shown to govern Na+ transport and homeostasis5, 6 7, 8. We here show that a modest increase in salt (NaCl) concentration induces SGK1 expression, promotes IL-23R expression and enhances Th17 cell differentiation in vitro and in vivo, ultimately accelerating the development of autoimmunity. The loss of SGK1 resulted in abrogation of Na+-mediated Th17 differentiation in an IL-23-dependent manner. These data indicate that SGK1 is a critical regulator for the induction of pathogenic Th17 cells and provides a molecular insight by which an environmental factor such as a high salt diet could trigger Th17 development and promote tissue inflammation.

Publication Title

Induction of pathogenic TH17 cells by inducible salt-sensing kinase SGK1.

Sample Metadata Fields

Specimen part

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