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accession-icon GSE15617
Uncovering the Arabidopsis thaliana nectary transcriptome: nectary and reference tissues
  • organism-icon Arabidopsis thaliana
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Many flowering plants attract pollinators by offering a reward of floral nectar. Remarkably, the molecular events involved in the development of nectaries, the organs that produce nectar, as well as the synthesis and secretion of nectar itself, are poorly understood. Indeed, to date, no genes have been shown to directly affect the de novo production or quality of floral nectar. To address this gap in knowledge, the ATH1 Affymetrix GeneChip array was used to systematically investigate the Arabidopsis nectary transcriptome to identify genes and pathways potentially involved in nectar production. In this study, we identified a large number of genes differentially expressed between secretory lateral nectaries and non-secretory median nectary tissues, as well as between mature lateral nectaries (post-anthessis) and immature lateral nectary tissue (pre-anthesis).

Publication Title

Uncovering the Arabidopsis thaliana nectary transcriptome: investigation of differential gene expression in floral nectariferous tissues.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE15601
Uncovering the Arabidopsis thaliana nectary transcriptome
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Many flowering plants attract pollinators by offering a reward of floral nectar. Remarkably, the molecular events involved in the development of nectaries, the organs that produce nectar, as well as the synthesis and secretion of nectar itself, are poorly understood. Indeed, to date, no genes have been shown to directly affect the de novo production or quality of floral nectar. To address this gap in knowledge, the ATH1 Affymetrix GeneChip array was used to systematically investigate the Arabidopsis nectary transcriptome to identify genes and pathways potentially involved in nectar production. In this study, we identified a large number of genes differentially expressed between secretory lateral nectaries and non-secretory median nectary tissues, as well as between mature lateral nectaries (post-anthessis) and immature lateral nectary tissue (pre-anthesis).

Publication Title

Uncovering the Arabidopsis thaliana nectary transcriptome: investigation of differential gene expression in floral nectariferous tissues.

Sample Metadata Fields

Specimen part

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accession-icon GSE6699
Perirenal and epididymal preadipocytes from young and old rats.
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Inherent depot- and age-dependent preadipocyte characteristics may contribute to age-related fat redistribution. Both aging and depot origin affect preadipocyte replication and adipogenesis. To define responsible mechanisms, we analyzed genome-wide expression profiles in epididymal (E) and perirenal (P) preadipocytes cultured from young (3 month) and old (30m) rats. Differences between depots were distinct from and more dramatic than those that occur with aging.

Publication Title

Aging, depot origin, and preadipocyte gene expression.

Sample Metadata Fields

Sex

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accession-icon GSE14733
Understanding adult human progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Overarching aim is to achieve a greater understanding of the control of progenitor cells within the adult human retina within the normal and diseased retinal microenvironment. Specifically we will assess via our experimental designs: (i) the control of CD133+ retinal cell populations that display mitotic potential and differentiation and

Publication Title

CD133+ adult human retinal cells remain undifferentiated in Leukaemia Inhibitory Factor (LIF).

Sample Metadata Fields

Specimen part

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accession-icon GSE38595
Analysis of postnatal gene expression in a transgenic rat kidney
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

We have generated a transgenic rat model with postnatal pathology. In order to investigate the potential contribution of changes in kidney gene expression to the pathology, we have conducted microarray-based gene expression profiling of postnatal kidney.

Publication Title

A novel long-range enhancer regulates postnatal expression of Zeb2: implications for Mowat-Wilson syndrome phenotypes.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon SRP087657
Changes in Gene Expression between Soybean F1 Hybrids and their Parents are Associated with Agronomically Valuable Traits
  • organism-icon Glycine max
  • sample-icon 71 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Gene expression of the F1 Hybrids between two soybean parents (NMS4-44-329 and N7103) were compared. Changes in gene expression were correlated with agronomic traits. Overall design: RNA was isolated from leaf matrial harvested from the field in july of 2015. Four replicates were grown at two location in a random complete block design. Each samples is represented from three or four replications form each location

Publication Title

Changes in gene expression between a soybean F1 hybrid and its parents are associated with agronomically valuable traits.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE5587
tourt-affy-arabi-307860
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The Early Growth Response (Egr) family of transcription factors consists of 4 members (Egr1-4) that are expressed in a wide variety of cell types. A large body of evidence point to a role for Egr transcription factors in growth, survival, and differentiation. A major unanswered question is whether Egr transcription factors serve similar functions in diverse cell types by activating a common set of target genes. Signal transduction cascades in neurons and lymphocytes show striking parallels. Activation of either cell type activates the Ras-MAPK pathway and, in parallel, leads to increases in intracellular calcium stimulating the calcineurin-NFAT pathway. In both cell types, the strength of the activation signal affects the cellular outcomes and very strong stimuli lead to cell death. Notably both these pathways converge on the induction of Egr genes. We believe that downstream targets of Egr transcription factors in lymphocytes may also be activated by Egr factors in activated neurons. There is precedence for common target gene activation in these two cell types: apoptosis in both activated T cells and methamphetamine stimulated neurons occurs via FasL induction by NFAT transcription factors. We propose to use developing T lymphocytes (thymocytes) as a model system for discovery of Egr-dependent target genes for several reasons. First, we have observed a prominent survival defect in thymocytes from mice deficient in both Egr1 and Egr3 (1/3 DKO) and a partial differention block in the immature double negative (DN) stage. In addition, thymocytes are an easily manipulatable cell type, and the DN subpopulation affected in 1/3 DKO mice can be isolated to very high purity. We anticipate that 1/3 DKO thymocytes will provide an excellent experimental system that will provide insight into Egr-dependent transcription in neuronal development, activation, and death.

Publication Title

Redundant role for early growth response transcriptional regulators in thymocyte differentiation and survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE54633
Expression data from M0505 and STOSE murine ovarian surface epithelial cell lines
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Our lab established the M0505 cell line from the ovarian surface epithelium (OSE) of FVB/N mice in May 2005 in order to study OSE biology. This cell line spontaneously transformed into the spontaneously transformed OSE (STOSE) cell line in mid 2012.

Publication Title

A new spontaneously transformed syngeneic model of high-grade serous ovarian cancer with a tumor-initiating cell population.

Sample Metadata Fields

Specimen part

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accession-icon GSE26241
Expression data from TGFbeta-treated control or aPKC silenced A549 cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Aberrant TGFbeta signalling is a hallmark of epithelial derived tumours. Signalling patterns can depend on the membrane trafficking and internalization of the TGFbeta receptors. Protein kinase C (PKC), particularly the atypical PKC isoforms, alter the trafficking of TGFbeta receptors and can alter TGFbeta induced gene expression.

Publication Title

aPKC alters the TGFβ response in NSCLC cells through both Smad-dependent and Smad-independent pathways.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE38215
Expression analysis of control and low protein fed mouse offspring subsequently treated with multiple low doses of STZ
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Low protein (LP) during gestation leads to low birth weight and poor fetal growth, with altered islet development and glucose intolerance in adulthood. Additionally, LP offspring fail to regenerate their -cells following depletion with streptozotocin (STZ), in contrast to control-fed offspring that are capable of -cell regeneration.

Publication Title

Cellular mechanisms underlying failed beta cell regeneration in offspring of protein-restricted pregnant mice.

Sample Metadata Fields

Sex, Age, Specimen part, 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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