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accession-icon GSE87125
Effects of starter microbiota and early life feeding of medium chain triglycerides on the gastric transcriptome profile of 3 weeks old caesarean derived pigs
  • organism-icon Sus scrofa
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Porcine Gene 1.1 ST Array (porgene11st)

Description

An early settlement of a complex gut microbiota can protect against gastro-intestinal dysbiosis, but the effects of neonatal microbiota colonization and early life feeding of medium chain triglycerides on the maturation of the porcine gastric mucosa are largely unknown.

Publication Title

The effects of starter microbiota and the early life feeding of medium chain triglycerides on the gastric transcriptome profile of 2- or 3-week-old cesarean delivered piglets.

Sample Metadata Fields

Specimen part

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accession-icon GSE87124
Effects of starter microbiota on the gastric transcriptome profile of 2 weeks old caesarean derived pigs
  • organism-icon Sus scrofa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Porcine Gene 1.1 ST Array (porgene11st)

Description

An early settlement of a complex gut microbiota can protect against gastro-intestinal dysbiosis, but the effects of neonatal microbiota colonization on the maturation of the porcine gastric mucosa are largely unknown.

Publication Title

The effects of starter microbiota and the early life feeding of medium chain triglycerides on the gastric transcriptome profile of 2- or 3-week-old cesarean delivered piglets.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-1934
Transcription profiling by array of Arabidopsis plants treated either with mock or menadione sodium bisulphite and sampled after 3, 6 and 24 hours
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Arabidopsis plants were treated either with mock or MSB (0.2 mM of Menadione sodium bisulphite). <br></br>Tissue was sampled after 3, 6 and 24 hours.

Publication Title

Molecular analysis of menadione-induced resistance against biotic stress in Arabidopsis.

Sample Metadata Fields

Age, Specimen part, Compound, Time

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accession-icon GSE10096
A novel lung cancer gene signature mediates metastatic bone colonization by a dual mechanism
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Bone is a frequent target of lung cancer metastasis, which is associated with significant morbidity and a dismal prognosis. To identify and functionally characterize genes involved in the mechanisms of osseous metastasis we developed a murine lung cancer model. Comparative transcriptomic analysis identified genes encoding signaling molecules (such as TCF4 and PRKD3), and cell anchorage related proteins (MCAM, and SUSD5), some of which were basally modulated by TGFbeta in tumor cells and in conditions mimicking tumor-stroma interactions. Triple gene combinations induced not only high osteoclastogenic activity but also a marked enhancement of global metalloproteolytic activities in vitro. These effects were strongly associated with robust bone colonization in vivo, whereas this gene subset was ineffective in promoting local tumor growth and cell homing activity to bone. Interestingly, global inhibition of metalloproteolytic activities and simultaneous TGFbeta blockade in vivo led to increased survival and a remarkable attenuation of bone tumor burden and osteolytic metastasis. Thus, this metastatic gene signature mediates bone-matrix degradation by a dual mechanism of induction of TGFbeta-dependent osteoclastogenic bone resorption and enhancement of stroma-dependent metalloproteolytic activities. Our findings suggest the cooperative contribution of host-derived and cell-autonomous effects directed by a small subset of genes in mediating aggressive osseous colonization.

Publication Title

A novel lung cancer signature mediates metastatic bone colonization by a dual mechanism.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049302
Thymic T-cell progenitor development is supported by membrane bound Kit ligand provided by a combined vascular endothelial and epithelial niche.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression analysis of purified KitL-tomato+ and KitL-tomato- thymic vascular endothelial cells, cortical and medullary thymic epithelial cells from 5 weeks old male kitL-tomato reporter mice Overall design: Differentially expressed genes analysis of thymic stromal cells

Publication Title

A dynamic niche provides Kit ligand in a stage-specific manner to the earliest thymocyte progenitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE76710
Inferring gene regulatory networks that control maintenance and identity of the Arabidopsis root stem cells
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We isolated QC and xylem cells by sorting GFP+ cells marked with pWOX5::GFP and pTMO5::GFP respectively.

Publication Title

Predicting gene regulatory networks by combining spatial and temporal gene expression data in &lt;i&gt;Arabidopsis&lt;/i&gt; root stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE12036
mouse lung resistance or sensitivity to cigarette smoke
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We have investigated the effects of cigarette smoke exposure in three different strains of mice. DBA/2 and C57Bl/6J are susceptible to smoke and develop different lung changes in response to chronic exposure, while ICR mice are resistant to smoke and do not develop emphysema. The present study was carried out to determine early changes in the gene expression profile of mice exposed to cigarette smoke with either a susceptible or resistant phenotype.

Publication Title

Early response of gene clusters is associated with mouse lung resistance or sensitivity to cigarette smoke.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP060557
Single cell global gene profiling reveals molecular and functional platelet bias of aged hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 113 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Single cell whole transcriptome analysis of young (2-3 months) and old (20-25 months) mouse HSCs, defined as Lin–Sca-1+c-Kit+150+CD48– . Overall design: Differential gene expression analysis of young and old mouse HSCs (Lin–Sca-1+c-Kit+150+CD48– )

Publication Title

Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE77787
Early microbial colonisation affects transcriptome of pig jejunum perfused with E. coli F4, F4 fimbria or Lact. amylovorus
  • organism-icon Sus scrofa
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Porcine Gene 1.1 ST Array (porgene11st)

Description

An early settlement of a complex gut microbiota can protect against gastro-intestinal dysbiosis, but the effects of neonatal microbiota colonization on the gut barrier upon the further encounter of favorable bacteria or not, are largely unknown.

Publication Title

Molecular networks affected by neonatal microbial colonization in porcine jejunum, luminally perfused with enterotoxigenic Escherichia coli, F4ac fimbria or Lactobacillus amylovorus.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE14230
Gene expression profiling of bone marrow endothelial cells in patients with multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To determine a gene/molecular fingerprint of multiple myeloma (MM) endothelial cells (MMECs), also identifying some of the vascular mechanisms that govern the malignant progression from quiescent monoclonal gammopathy of undetermined significance (MGUS). A comparative gene expression profiling (GEP) was carried out on patient-derived MMECs and MGUS endothelial cells (MGECs) using the Affymetrix U133A Arrays. Expression of selective vascular markers were also validated by RT-PCR and immunoblotting analysis in primary cultures of ECs isolated from total bone marrow (BM)-mononuclear cells. Twenty-two genes were found differently expressed in MMECs compared to MGECs (with 14 down-regulated and 8 up-regulated), thus proving that molecular differences were maintained in vitro. Specific pathways analysis revealed transcriptional and protein expression changes for key regulators of extracellular matrix formation and bone remodeling, cell-adhesion, chemotaxis, angiogenesis, resistance to apoptosis, and cell-cycle regulation. Specifically, we focused on six of these genes (DIRAS3, SERPINF1, SRPX, BNIP3, IER3 and SEPW1), which were not previously functionally correlated to the overangiogenic phenotype of MMECs and disease activity. These data identified distinct EC gene expression profiles and some vascular phenotypes that could influence the remodeling of the BM-microenvironment in patients with active MM. A better understanding of the linkage between genetic and epigenetic events in MM tumor/ECs may contribute to the molecular classification of the disease, thereby identifying selective targets of more effective anti-vessel/stroma therapeutic strategies.

Publication Title

Gene expression profiling of bone marrow endothelial cells in patients with multiple myeloma.

Sample Metadata Fields

Sex

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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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