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accession-icon GSE37165
Gene expression data from time course of fin regeneration in Danio rerio
  • organism-icon Danio rerio
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Impaired tissue regeneration corresponds with altered expression of developmental genes that persists in the metabolic memory state of diabetic zebrafish.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE37164
Gene expression data from time course of fin regeneration in Danio rerio (part 2)
  • organism-icon Danio rerio
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Olsen et al (2010) have shown that induced Diabetes mellitus (DM) in adult Zebrafish results in an impairment of tissue regeneration as monitored by caudal fin regeneration. In those studies, streptozocin was used to induce hyperglycemia in adult zebrafish, and then, following streptozocin withdrawal, a recovery phase was allowed to re-establish euglycemia, due to pancreatic b-cell regeneration. DM-associated impaired fin regeneration continued indefinitely in the metabolic memory state (MM); allowing for subsequent molecular analysis of the underlying mechanisms of MM. This study focuses on elucidating the molecular basis explaining DM-associated impaired fin regeneration and why it persists into the MM state. The analysis of microarray data indicated that of the 14,900 transcripts analyzed, aberrant expression of 71 genes relating to tissue developmental and regeneration processes were identified in DM fish and the aberrant expression of these 71 genes persisted into the MM state. Key regulatory genes of major signal transduction pathways were identified among this group of 71; and therefore, these findings provide a possible explanation for how hyperglycemia induces impaired fin regeneration and why it continues into the MM state.

Publication Title

Impaired tissue regeneration corresponds with altered expression of developmental genes that persists in the metabolic memory state of diabetic zebrafish.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE37163
Gene expression data from time course of fin regeneration in Danio rerio (part 1)
  • organism-icon Danio rerio
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Olsen et al (2010) have shown that induced Diabetes mellitus (DM) in adult Zebrafish results in an impairment of tissue regeneration as monitored by caudal fin regeneration. In those studies, streptozocin was used to induce hyperglycemia in adult zebrafish, and then, following streptozocin withdrawal, a recovery phase was allowed to re-establish euglycemia, due to pancreatic b-cell regeneration. DM-associated impaired fin regeneration continued indefinitely in the metabolic memory state (MM); allowing for subsequent molecular analysis of the underlying mechanisms of MM. This study focuses on elucidating the molecular basis explaining DM-associated impaired fin regeneration and why it persists into the MM state. The analysis of microarray data indicated that of the 14,900 transcripts analyzed, aberrant expression of 71 genes relating to tissue developmental and regeneration processes were identified in DM fish and the aberrant expression of these 71 genes persisted into the MM state. Key regulatory genes of major signal transduction pathways were identified among this group of 71; and therefore, these findings provide a possible explanation for how hyperglycemia induces impaired fin regeneration and why it continues into the MM state.

Publication Title

Impaired tissue regeneration corresponds with altered expression of developmental genes that persists in the metabolic memory state of diabetic zebrafish.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE6365
Distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background and objective: The chromosome 13 deletion (del(13)) represents one of the most frequent chromosomal alterations in multiple myeloma (MM). del(13) is associated with an unfavorable prognosis, although there is an increasing agreement that its prognostic relevance has to be related to the ploidy status and the presence of different chromosomal translocations. This study is aimed at providing a comprehensive analysis of the transcriptional features of del(13) in MM. Design and methods: Highly purified plasma cells from 80 newly diagnosed MM patients were characterized by means of FISH and high-density oligonucleotide microarray for gene expression profiling and chromosomal alterations. Results: We identified 67 differentially expressed genes in the del(13)+ and del(13)- groups, all of which downregulated in the del(13)+ cases: 44 mapped along the whole chromosome 13, seven on chromosome 11 and three on chromosome 19. Functional analyses of the selected genes indicated their involvement in protein biosynthesis, ubiquitination and transcriptional regulation. An integrative genomic approach based on regional analyses of the gene expression data identified distinct chromosomal regions whose global expression modulation could differentiate del(13)+, in particular the upregulation of 1q21-1q42 and the downregulation of 19p and almost the entire chromosome 11. FISH analyses confirmed the close relationship between del(13)+ and the presence of extracopies of 1q21-1q42 (P=6x10-4) or the absence of chromosome 11 and 19 trisomy (P=5x10-4). Interpretation and conclusions: Our results indicate that distinct types of chromosomal aberrations are closely related to the transcriptional profiles of del(13)+, suggesting that the contribution of del(13) on the malignancy should be considered together with associated abnormalities.

Publication Title

Integrative genomic analysis reveals distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE2113
Plasma cell dyscrasias expression profiles associated with distinct IGH translocations in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This series of microarray experiments contains the gene expression profiles of purified plasma cells (PCs) obtained from 7 monoclonal gammopathy of undetermined significance (MGUS), 39 newly diagnosed multiple myeloma (MM) and 6 plasma-cell leukaemia (PCL) patients. PCs were purified from bone marrow Seriess, after red blood cell lysis with 0.86% ammonium chloride, using CD138 immunomagnetic microbeads. The purity of the positively selected PCs was assessed by morphology and flow cytometry and was > 90% in all cases. 5 micrograms of total RNA was processed and hybridized to the Affymetrix HG-U133A chip following the manufacturer's instructions. After scanning, the images were processed using Affymetrix MicroArray Suite (MAS) 5.0 software to generate gene expression intensity values. Arrays normalization was performed using MAS 5.0 "global scaling" procedure, which normalizes the signals of different experiments to the same target intensity (TGT=100).

Publication Title

Gene expression profiling of plasma cell dyscrasias reveals molecular patterns associated with distinct IGH translocations in multiple myeloma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11038
Molecular and transcriptional characterization of chromosome 17p loss in chronic lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Distinct genetic abnormalities such as TP53 deletion at 17p13.1, have been identified as having an adverse prognostic relevance in B-cell chronic lymphocytic leukemia (B-CLL). Conventional cytogenetic studies have shown that TP53 deletion in B-CLL is associated predominantly with 17p loss resulting from complex chromosomal rearrangements. We performed genome-wide DNA (SNPs arrays), fluorescence in situ hybridization (FISH) and gene expression profiling (GEP) analyses to investigate the significance of 17p loss in a panel of 71 genetically well-characterized B-CLLs in Binet stage A, 18 of which carried a TP53 monoallelic deletion. Combined SNP arrays and FISH approaches showed 17p loss in all of the TP53-deleted cases, with breakpoints scattered along the 17p11.2 region. Mutations in exons 5 to 9 of TP53 were found in 9/12 deleted samples. GEP of 60 B-CLLs, including 7 patients with 17p loss, identified 40 differentially expressed genes in 17p- versus 17p normal samples, 35 of which were down-regulated in 17p- tumors. The majority (30/35) of these transcripts, including putative tumor suppressor genes, mapped to 17p. Overall, these data indicate that, beside TP53 deletion, the concomitant loss of 17p arm may contribute to the strong negative prognostic impact known to be associated with this lesion in B-CLL.

Publication Title

Molecular and transcriptional characterization of 17p loss in B-cell chronic lymphocytic leukemia.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE9992
Molecular and transcriptional characterization of chromosome 17p loss in chronic lymphocytic leukemia, experiment A
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Distinct genetic abnormalities such as TP53 deletion at 17p13.1, have been identified as having an adverse prognostic relevance in B-cell chronic lymphocytic leukemia (B-CLL). Conventional cytogenetic studies have shown that TP53 deletion in B-CLL is associated predominantly with 17p loss resulting from complex chromosomal rearrangements. We performed genome-wide DNA (SNPs arrays), fluorescence in situ hybridization (FISH) and gene expression profiling (GEP) analyses to investigate the significance of 17p loss in a panel of 71 genetically well-characterized B-CLLs in Binet stage A, 18 of which carried a TP53 monoallelic deletion. Combined SNP arrays and FISH approaches showed 17p loss in all of the TP53-deleted cases, with breakpoints scattered along the 17p11.2 region. Mutations in exons 5 to 9 of TP53 were found in 9/12 deleted samples. GEP of 60 B-CLLs, including 7 patients with 17p loss, identified 40 differentially expressed genes in 17p- versus 17p normal samples, 35 of which were down-regulated in 17p- tumors. The majority (30/35) of these transcripts, including putative tumor suppressor genes, mapped to 17p. Overall, these data indicate that, beside TP53 deletion, the concomitant loss of 17p arm may contribute to the strong negative prognostic impact known to be associated with this lesion in B-CLL.

Publication Title

Molecular and transcriptional characterization of 17p loss in B-cell chronic lymphocytic leukemia.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE65576
Identification and molecular characterization of distinct glioblastoma cancer stem cell populations
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Malignant glioblastoma (GBM) is a highly aggressive brain tumor with a dismal prognosis and limited therapeutic options. Genomic profiling of GBM samples in the TCGA database has identified four molecular subtypes (Proneural, Neural, Classical and Mesenchymal), which may arise from different glioblastoma stem-like cell (GSC) populations. In the present study, we identify two GSC populations that produce GBM tumors by subcutaneous and intracranial injection with identical histological features. Gene expression analysis revealed that xenografts of GSCs grown as spheroid cultures had a Classical molecular subtype similar to that of bulk tumor cells. In contrast xenografts of GSCs grown as adherent cultures on laminin-coated plates expressed a Mesenchymal gene signature. Adherent GSC-derived xenografts had high STAT3 and ANGPTL4 expression as well as enrichment for stem cell markers, transcriptional networks and pro-angiogenic markers characteristic of the Mesenchymal subtype. Examination of clinical samples from GBM patients showed that STAT3 expression was directly correlated with ANGPTL4 expression, and that increased expression of these genes correlated with poor patient survival and performance. A pharmacological STAT3 inhibitor abrogated STAT3 binding to the ANGPTL4 promoter and exhibited anticancer activity in vivo. Taken together, we identified two distinct GSC populations that produce histologically identical tumors but with very different gene expression patterns, and a STAT3/ ANGPTL4 pathway in glioblastoma that may serve as a target for therapeutic intervention.

Publication Title

Molecular heterogeneity in a patient-derived glioblastoma xenoline is regulated by different cancer stem cell populations.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE61799
ICI182780 effect on breast cancer cell in hypoxia
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

The ER alpha positive breast cancer MCF7 cells were treated with ER alpha antagonist ICI182780 in normoxia and hypoxia. Extracted RNA was subject to microarray analysis. The goal of the experiment is to assess the ICI182780 effect on breast cancer cell in both normoxia and hypoxia.

Publication Title

Estrogen receptor-α directly regulates the hypoxia-inducible factor 1 pathway associated with antiestrogen response in breast cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE97209
R-spondin 2 is required for optic vesicle morphogenesis and neuroretina specification in vivo and in vitro
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Using stem cellbased therapies to treat retinal abnormalities is becoming a likely possibility; therefore, identifying the key factors and the relevant mechanisms controlling optic vesicle morphogenesis and neuroretina (NR) differentiation is important. Recent advances in self-organizing, 3-dimensional (3D) tissue cultures of embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) provided a valuable in vitro model for characterizing regulatory cascades and signaling pathways controlling mammalian retinal development. Using Rx-GFP expressing ESCs and Six3/ iPSCs we identified R-spondin 2 (Rspo2)-mediated repression of Wnt signaling as a novel required step during optic vesicle morphogenesis and NR differentiation. Furthermore, we also show that transient ectopic expression of Rspo2 in the anterior neural plate of transgenic mouse embryos was sufficient to arrest NR differentiation. ChIP assays identified Six3-responsive elements in the Rspo2-promoter region, indicating that Six3-mediated repression of Rspo2 is required to restrict Wnt signaling in the developing anterior neuroectoderm and allow eye development to proceed.

Publication Title

An Eye Organoid Approach Identifies Six3 Suppression of R-spondin 2 as a Critical Step in Mouse Neuroretina Differentiation.

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)

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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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