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accession-icon GSE9874
Expression profiles of human macrophages
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The project was designed to identify genes with an altered expression in macrophages from subjects with atherosclerosis compared to macrophages from control subjects.

Publication Title

Expression profiling of macrophages from subjects with atherosclerosis to identify novel susceptibility genes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16363
Microarray Analysis of Lymphatic Tissue Reveals Stage-Specific, Gene-Expression Signatures in HIV-1 Infection
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Untreated HIV-1 infection progresses through acute and asymptomatic stages to AIDS. While each of the three stages has well-known clinical, virologic and immunological characteristics, much less is known of the molecular mechanisms underlying each stage. Here we report lymphatic tissue microarray analyses revealing for the first time stage-specific patterns of gene expression during HIV-1 infection. We show that while there is a common set of key genes with altered expression throughout all stages, each stage has a unique gene-expression signature. The acute stage is most notably characterized by increased expression of hundreds of genes involved in immune activation, innate immune defenses (e.g.MDA-5, TLR-7 and -8, PKR, APOBEC3B, 3F, 3G), adaptive immunity, and in the pro-apoptotic Fas-Fas-L pathway. Yet, quite strikingly, the expression of nearly all acute-stage genes return to baseline levels in the asymptomatic stage, accompanying partial control of infection. In the AIDS stage, decreased expression of numerous genes involved in T cell signaling identifies genes contributing to T cell dysfunction. These common and stage-specific, gene-expression signatures provide new insights into the molecular mechanisms underlying the host response and the slow, natural course of HIV-1 infection.

Publication Title

Microarray analysis of lymphatic tissue reveals stage-specific, gene expression signatures in HIV-1 infection.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Race, Subject

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accession-icon GSE44543
Expression data from mouse embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Analysis of the transcriptome of -catenin flox/- mES cells in comparison with -catenin null mES cells or -catenin null mES cells stably transfected with an E-cadherin--catenin fusion protein.

Publication Title

E-cadherin is required for the proper activation of the Lifr/Gp130 signaling pathway in mouse embryonic stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE24888
Phytochemical variations in medicinal herbs affecting bioefficacy: Equisetum arvense extracts in the global market place as a case study
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We used phytochemical profiling techniques to generate a list of compounds present in each of 13 Equisetum arvense samples sourced globally. We used microarrays to detail the global programme of gene expression underlying the treatment of the model system Saccharomyces cerevisiae to a chosen number of these extracts. A thorough bioinformatic analysis was performed to identify the relationship between phytochemical and gene expression response profiles.

Publication Title

The Saccharomyces cerevisiae transcriptome as a mirror of phytochemical variation in complex extracts of Equisetum arvense from America, China, Europe and India.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17385
Gene expression profiling from MM1.S cells with control or beta-catenin knockdown.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MM1.S cells stably transduced with control or b-catenin shRNA were established. Total RNA was isolated from 5x 10^6 cells of each in triplicate.

Publication Title

Aurora kinase A is a target of Wnt/beta-catenin involved in multiple myeloma disease progression.

Sample Metadata Fields

Cell line

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accession-icon GSE28446
Expression data from Arabidopsis mature siliques
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of the transcriptomes of nearly ripe siliques (18-19 DAP) of the rdo2-1, rdo3 and hub1-2 (rdo4) mutants in comparison with wild-type Ler, using Affymetrix GeneChip Arabidopsis ATH1 Genome Array.

Publication Title

Identification of the Arabidopsis REDUCED DORMANCY 2 gene uncovers a role for the polymerase associated factor 1 complex in seed dormancy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE50786
Comparison of histone deacetylase 9-1 mutant (SALK_001723) dry seed transcriptome with Col wild-type
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of the transcriptome of dry hda9-1 mutant seeds with those of Col wild-type seeds, using Affymetrix GeneChip Arabidopsis ATH1 Genome Array.

Publication Title

HISTONE DEACETYLASE 9 represses seedling traits in Arabidopsis thaliana dry seeds.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE66416
Differential gene expression of periostin-overexpressing MC3T3-E1 cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Periostin participates in different processes involved in connective tissue homeostasis. It is also involved in repairment of damaged tissues. We used the osteoblast murine cell line MC3T3-E1 cell line to show how overexpresion of periostin is able to increase their adhesion properties while diminishing their migration capacity. By differential gene expression we evaluated putative targets involved in those cellular properties.

Publication Title

Role of Periostin in Adhesion and Migration of Bone Remodeling Cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP108538
Multiplex Enhancer Interference Reveals Collaborative Control of Gene Regulation by Estrogen Receptor Alpha Bound Enhancers [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Multiple regulatory regions have the potential to regulate a single gene, yet how these elements combine to impact gene expression remains unclear. To uncover the combinatorial relationships between enhancers, we developed Enhancer-interference (Enhancer-i), a CRISPR interference-based approach that can prevent enhancer activation simultaneously at multiple regulatory regions. We applied Enhancer-i to promoter-distal estrogen receptor a binding sites (ERBS), which cluster around estradiol-responsive genes and therefore may collaborate to regulate gene expression. Targeting individual sites revealed predominant ERBS that are completely required for the transcriptional response, indicating a lack of redundancy. Simultaneous interference of different ERBS combinations identified supportive ERBS that contribute only when predominant sites are active. Using mathematical modeling, we find strong evidence for collaboration between predominant and supportive ERBS. Overall, our findings expose a complex functional hierarchy of enhancers, where multiple loci bound by the same transcription factor combine to fine tune the expression of target genes. Overall design: The effects of Enhancer interference (Enhancer-i) and control guide RNA treatment on the transcriptome before and after estrogen treatment, with 2 replicates per condition.

Publication Title

Multiplex Enhancer Interference Reveals Collaborative Control of Gene Regulation by Estrogen Receptor α-Bound Enhancers.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE137574
Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Tumor protein p53 is a key regulator of several cellular pathways, including DNA repair, cell cycle and angiogenesis. Kevetrin exhibits p53-dependent as well as independent activity in solid tumors, while its effects on leukemic cells remain unknown. We analyzed the response of acute myeloid leukemia (AML) cell lines (TP53 wild-type: OCI-AML3 and MOLM-13; and TP53-mutant: KASUMI-1 and NOMO-1) to kevetrin at a concentration range of 85-340 μM. Kevetrin induced cell growth arrest and apoptosis in all cell lines and in primary cells, with TP53-mutant models displaying a higher sensitivity and p53 induction. Gene expression profiling revealed a common core transcriptional program altered by drug exposure and the downregulation of glycolysis, DNA repair and unfolded protein response signatures. These findings suggest that kevetrin may be a promising therapeutic option for patients with both wild-type and TP53-mutant AML.

Publication Title

Kevetrin induces apoptosis in TP53 wild‑type and mutant acute myeloid leukemia cells.

Sample Metadata Fields

Treatment

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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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