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accession-icon E-MEXP-389
Transcription profiling of generic impact of protein aggregation (aggregation of proteins not associated with neurodegenerative disease) on gene expression in human cultured cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In this study the generic impact of protein aggregation (aggregation of proteins not associated with neurodegenerative disease) on gene expression in cultured cells was investigated by DNA microarray technology. The survey of gene expression showed that the Hsp40, Hsp70 and Hsp105 genes, all of which have documented aggregation suppression activity, were up-regulated. Unexpectedly, the survey also showed increased expression of the MEK5 gene with concomitant silencing of the MEK3 gene. The expression pattern of MEK5 at the mRNA and protein levels aligns with the kinetics of aggregate formation and dissolution. Cell viability was unaffected by protein aggregates. These findings are of particular importance for chronic neurodegenerative diseases where the intraneuronal accumulation of aggregate-prone proteins are a major characteristic of the diseases. The identification of changes in MEK5 gene expression have been observed in Alzheimer-related diseases which provides new diagnostic and therapeutic avenues in these diseases. The molecular neuropathological findings would not have occurred without the generic microarray analyses.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon SRP109143
Functional role of Eriocalyxin B in zebrafish revealed by transcriptome analysis
  • organism-icon Danio rerio
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

the first study to comprehensively explore the effects of EriB in zebrafish model using a transcriptome analysis approach.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-1467
Transcription profiling by array of mouse microvascular endothelial cells treated with FGF2
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Effect of FGF2 on the transcriptional profile of microvascular endothelial cells

Publication Title

A pro-inflammatory signature mediates FGF2-induced angiogenesis.

Sample Metadata Fields

Specimen part, Cell line, Compound

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accession-icon SRP191202
Zebrafish Otolith Biomineralization Requires Polyketide Synthase
  • organism-icon Danio rerio
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq analysis of nco (no content) zebrafish embryos at 24 hours post fertilization.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP155458
Total RNA sequencing of SH-SY5Y cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconNextSeq 500

Description

SH-SY5Y total RNA was sequenced to have an overview of expressed circular RNAs

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line

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accession-icon GSE62114
Expression data from Werner syndrome iPSCs
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Werner syndrome (WS) is a premature aging disorder characterized by chromosomal instability and cancer predisposition. Mutations in WRN are responsible for the disease and cause telomere dysfunction, resulting in accelerated aging. In the present study, we describe the effects of long-term culture on WS iPSCs, which acquired and maintained infinite proliferative potential for self-renewal over 2 years. After long-term cultures, WS iPSCs exhibited stable undifferentiated states and differentiation capacity, and premature upregulation of senescence-associated genes in WS cells was completely suppressed in WS iPSCs despite WRN deficiency.

Publication Title

Reprogramming suppresses premature senescence phenotypes of Werner syndrome cells and maintains chromosomal stability over long-term culture.

Sample Metadata Fields

Specimen part

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accession-icon GSE63153
The LSD1/KDM1A neuro-specific isoform regulates neuronal differentiation through H3K9 demethylation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A specific LSD1/KDM1A isoform regulates neuronal differentiation through H3K9 demethylation.

Sample Metadata Fields

Cell line

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accession-icon ERP001304
mRNA Sequencing of STG in schizophrenia
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

No description.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP113436
Features of cancer stem cells in colorectal tumors revealed by complex single cell analysis
  • organism-icon Homo sapiens
  • sample-icon 823 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tumor recurrence and metastasis remain unavoidable due to a distinct tumor subpopulation known as cancer stem cells (CSCs). To explore the unique cell types contribute to colorectal cancer (CRC) progression, we profiled 831 single cells by simultaneous analysis of RNA sequencing (scRNA-seq) and telomere length in the same cell. Specific markers CD44, CD133 and LGR5 were used to enrich. We find small subpopulations with special features including quiescent CSCs, and epithelial lineage cancer cells (EPCs). Those quiescent CSCs have distinct features including higher level of pluripotency and Wnt signature, and shorter telomeres. Lineage tracing analysis showed that quiescent CSCs could plasticized and generate to epithelial lineage cancer cells with high proliferation and telomeres elongation, and these cells could also transform to each other. New marker genes for CSCs were identified including PROX1, TNFRSF19 and SMOC2. Survival analysis revealed that higher signatures of CSCs and EPCs predicts poor clinical outcome in CRC patients and could be a prognostic biomarkers. These findings provide insight into molecular classification of colorectal cancers and telomere function in CSCs.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP100399
A Comprehensive Mouse Transcriptomic BodyMap across 17 Tissues by RNA-seq
  • organism-icon Mus musculus
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

we construct a comprehensive mouse transcriptomic BodyMap across 17 tissues of six-weeks old C57BL/6JJcl mice using RNA-seq. We find different expression patterns between protein-coding and non-coding genes. Liver and adrenal gland expressed the least complex transcriptome, whereas testis and ovary harbor more complex transcriptome than other tissues. We report a comprehensive list of tissue-specific genes across 17 tissues. Our study provides a unique resource of mouse gene-expression profiles, which is helpful for further biomedical research.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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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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