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accession-icon E-MEXP-1193
Transcription profiling time series of wheat cv. Hereward grown under control, hot, dry and hot and dry conditions to illustrate the importance of developmental context in interpretation
  • organism-icon Triticum aestivum
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

The aim of the experiment is provide a reference dataset for placing wheat grain transcriptome experiments in a developmental context. RNA was isolated from whole grain tissue of replicate wheat cv. Hereward plants at 6, 8, 10, 12, 14, 17, 21, 28, 35 and 42 days after anthesis (daa). Also supplied are array data for grain sampled at 14, 21 and 28 daa under control, hot, dry and hot&dry conditions to illustrate the importance of developmental context in interpretation.

Publication Title

Transcriptome analysis of grain development in hexaploid wheat.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE37302
Lenalidomide and Pomalidomide inhibit Multiple Myeloma-induced osteoclast formation and RANKL/OPG ratio in myeloma microenvironment targeting the expression of adhesion molecules.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple myeloma (MM)-induced osteoclast (OC) formation occurs in close contact with MM cell infiltration into the bone marrow (BM) due to the imbalance of the receptor activator of NF-kappa-B ligand (RANKL)/osteoprotegerin (OPG) ratio in favor of RANKL in the micorenvironment. Soluble factors including CCL3/MIP-1?, IL7 and IL-3 also contribute to the increased OC formation in MM.The immunomodulatory drugs (IMiDs) directly inhibit OCs, however their effect on the mechanisms involved in MM-induced OC formation are not known and have been investigated in this study. We found that both Lenalidomide (LEN) and Pomalidomide (POM), at concentration ranging reached in vivo, significantly blunted RANKL up-regulation normalizing the RANKL/OPG ratio in human BM osteoprogenitor cells (PreOBs) co-cultured with MM cells and inhibited CCL3/MIP-1? production by MM cells. The reduction of CD49d expression on MM cells, a molecule critically involved in RANKL up-regulation in the micorenvironment, accompanied this effect. Consistently the pro-osteoclastogenic property of the conditioned medium of MM cells co-cultured with PreOBs was reduced in the presence of both IMiDs. By microarray analysis we further investigated the effect of POM and LEN on the transcriptional profile of both MM cells and PreOBs. We found a significant down-regulation in MM cells, in addition to CD49d, of genes belonging to the adhesion molecules family such as ITGA8 and ICAM2 (CD102) induced by both IMiDs compounds. In conclusion our data suggest that POM and LEN inhibits MM-induced OC formation through the inhibition of RANKL/OPG ratio targeting the expression of adhesion molecules by MM cells.

Publication Title

Immunomodulatory drugs lenalidomide and pomalidomide inhibit multiple myeloma-induced osteoclast formation and the RANKL/OPG ratio in the myeloma microenvironment targeting the expression of adhesion molecules.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE40326
Hypoxia-inducible factor (Hif)-1 knockdown blocks tumor growth, myeloma-induced angiogenesis and bone destruction in vivo
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In multiple myeloma (MM), hypoxia-inducible transcription factor-1 (HIF-1) is overexpressed in the MM cells of the hypoxic bone marrow (BM) microenvironment. Herein, we explored in MM cells the in vitro and in vivo effects of persistent HIF-1 inhibition by expression of a lentivirus shRNA pool on proliferation, survival and transcriptional and pro-angiogenic profiles. Among the significantly modulated genes (326 and 361 genes in hypoxic and normoxic condition, respectively), we found that HIF-1 inhibition in the human myeloma cell line JJN3 downregulates the pro-angiogenic molecules VEGF, IL8, IL10, CCL2, CCL5, and MMP9. Interestingly, several pro-osteoclastogenic cytokines were also inhibited, such as IL-7 and CCL3/MIP-1. The effect of HIF-1 inhibition was assessed in vivo in NOD/SCID mice both in subcutaneous and intratibial models, indicating in either case a dramatic reduction of weight and volume of the tumor burden as a consequence of HIF-1 knockdown. Moreover, a significant reduction of the number of vessels per field and VEGF immunostaining were observed. Finally, in the intra-tibial experiments, HIF-1 inhibition significantly blocks JJN3-induced bone destruction. Overall, our data indicate that HIF-1 suppression in MM cells significantly blocks MM-induced angiogenesis and reduces both tumor burden and bone destruction in vivo, strongly indicating HIF-1 as an emerging therapeutic target in MM.

Publication Title

Hypoxia-inducible factor (HIF)-1α suppression in myeloma cells blocks tumoral growth in vivo inhibiting angiogenesis and bone destruction.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE70345
IL21R-expressing CD14+CD16+ monocytes expand in multiple myeloma patients leading to increased osteoclasts
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Bone marrow monocytes are primarily committed to osteoclast formation. It is, however, unknown whether potential primary alterations are specifically present in bone marrow monocytes from patients with multiple myeloma, smoldering myeloma or monoclonal gammopathy of undetermined significance. We analyzed the immunophenotypic and transcriptional profiles of bone marrow CD14+ monocytes in a cohort of patients with different types of monoclonal gammopathies to identify alterations involved in myeloma-enhanced osteoclastogenesis. The number of bone marrow CD14+CD16+ cells was higher in patients with active myeloma than in those with smoldering myeloma or monoclonal gammopathy of undetermined significance. Interestingly, sorted bone marrow CD14+CD16+ cells from myeloma patients were more pro-osteoclastogenic than CD14+CD16-cells in cultures ex vivo Moreover, transcriptional analysis demonstrated that bone marrow CD14+ cells from patients with multiple myeloma (but neither monoclonal gammopathy of undetermined significance nor smoldering myeloma) significantly upregulated genes involved in osteoclast formation, including IL21RIL21R mRNA over-expression by bone marrow CD14+ cells was independent of the presence of interleukin-21. Consistently, interleukin-21 production by T cells as well as levels of interleukin-21 in the bone marrow were not significantly different among monoclonal gammopathies. Thereafter, we showed that IL21R over-expression in CD14+ cells increased osteoclast formation. Consistently, interleukin-21 receptor signaling inhibition by Janex 1 suppressed osteoclast differentiation from bone marrow CD14+ cells of myeloma patients. Our results indicate that bone marrow monocytes from multiple myeloma patients show distinct features compared to those from patients with indolent monoclonal gammopathies, supporting the role of IL21R over-expression by bone marrow CD14+ cells in enhanced osteoclast formation.

Publication Title

<i>IL21R</i> expressing CD14<sup>+</sup>CD16<sup>+</sup> monocytes expand in multiple myeloma patients leading to increased osteoclasts.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE104328
LRH-1/NR5A2 for the treatment of autoimmune diseases
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

LRH-1 agonism favours an immune-islet dialogue which protects against diabetes mellitus.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE104322
LRH-1/NR5A2 induces M1 to M2 macrophage phenotypic switch
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Strategy to repress autoimmunity and promote islet beta cell regeneration

Publication Title

LRH-1 agonism favours an immune-islet dialogue which protects against diabetes mellitus.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE24790
Neonatal beta cells lack the specialized metabolic phenotype of mature beta cells
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Fetal and neonatal beta cells have poor glucose-induced insulin secretion and only gain robust glucose responsiveness several weeks after birth. This unresponsiveness may be due to a generalized immaturity of the metabolic pathways normally found in beta cells.

Publication Title

Rat neonatal beta cells lack the specialised metabolic phenotype of mature beta cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP065967
Sheep milk transcriptome
  • organism-icon Ovis aries
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

This study presents a dynamic characterization of the sheep milk transcriptome aiming at achieving a better understanding of the sheep lactating mammary gland. Transcriptome sequencing (RNA-seq) was performed on total RNA extracted from milk somatic cells from ewes on days 10, 50, 120 and 150 after lambing. The experiment was performed in Spanish Churra and Assaf breeds, which differ in their milk production traits. Nearly 67% of the annotated genes in the reference genome (Oar_v3.1) were expressed in ovine milk somatic cells. For the two breeds and across the four lactation stages studied, the most highly expressed genes encoded caseins and whey proteins. We detected differentially expressed genes (DEGs) across lactation points, with the largest differences being found, between day 10 and day 150. Upregulated GO terms at late lactation stages were linked mainly to developmental processes linked to extracellular matrix remodeling. A total of 256 annotated DEGs were detected in the Assaf and Churra comparison. Some genes selectively upregulated in the Churra breed grouped under the endopeptidase and channel activity GO terms. These genes could be related to the higher cheese yield of this breed. Overall, this study provides the first integrated overview on sheep milk gene expression. Overall design: A total of eight healthy sheep were selected to be included in the experiment, four Assaf and four Churra ewes. 32 Milk Somatic Cells (MSCs) samples were collected on days 10, 50, 120 and 150 after lambing. In each time point 4 biological replicates from each breed were collected unless on day 120 that only three biological replicates from each breed were sequenced.

Publication Title

Variant discovery in the sheep milk transcriptome using RNA sequencing.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE83485
Gene expression changes induced by BAY1436032 (IDH1mut inhibitor) in sorted human (CD45+) cells from bone marrow of IDH1mut patient derived xenotransplantation mice model
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mutations in the enzymes IDH1 and IDH2 have been identified in a wide variety of tumors like glioma, chondrosarcoma, thyroid cancer, lymphoma, melanoma, and in acute myeloid leukemia. Mutated IDH1/2 produces the metabolite 2-hydroxyglutarate (2HG), which interferes with epigenetic regulation of gene expression, and thus may promote tumorigenesis.

Publication Title

Pan-mutant-IDH1 inhibitor BAY1436032 is highly effective against human IDH1 mutant acute myeloid leukemia in vivo.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE15477
Data integration from two microarray platforms identifies genetic inactivation of RIC8A in a breast cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using array comparative genomic hybridization (aCGH), a large number of deleted genomic regions have been identified in human cancers. However, subsequent efforts to identify target genes selected for inactivation in these regions have often been challenging. We integrated here genome-wide copy number data with gene expression data and non-sense mediated mRNA decay rates in breast cancer cell lines to prioritize gene candidates that are likely to be tumour suppressor genes inactivated by bi-allelic genetic events. The candidates were sequenced to identify potential mutations. This integrated genomic approach led to the identification of RIC8A at 11p15 as a putative candidate target gene for the genomic deletion in the ZR-75-1 breast cancer cell line. We identified a truncating mutation in this cell line, leading to loss of expression and rapid decay of the transcript. We screened 127 breast cancers for RIC8A mutations, but did not find any pathogenic mutations. No promoter hypermethylation in these tumours was detected either. However, analysis of gene expression data from breast tumours identified a small group of aggressive tumours that displayed low levels of RIC8A transcripts. Real-time PCR analysis of 38 breast tumours showed a strong association between low RIC8A expression and the presence of TP53 mutations (P=0.006). We demonstrate a data integration strategy leading to the identification of RIC8A as a gene undergoing a classical double-hit genetic inactivation in a breast cancer cell line, as well as in vivo evidence of loss of RIC8A expression in a subgroup of aggressive TP53 mutant breast cancers.

Publication Title

Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line.

Sample Metadata Fields

Sex, Disease, Cell line, Treatment, Time

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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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