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accession-icon GSE24609
FT1 and FT2 network analysis in poplar
  • organism-icon Populus tremula x populus tremuloides, Populus tremula x populus alba
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Poplar Genome Array (poplar)

Description

We conducted microarray experiments by comparing constitutive and inducible Flowering Locus T1 (FT1) and FT2 constructs with appropriate controls, followed by the identification of common targets of Pro35S:FT1 and ProHSP:FT1 or Pro35S:FT2 and ProHSP:FT2.

Publication Title

FLOWERING LOCUS T duplication coordinates reproductive and vegetative growth in perennial poplar.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE28706
CO1 and CO2 network analysis in poplar
  • organism-icon Populus tremula x populus alba
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Poplar Genome Array (poplar)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Overexpression of CONSTANS homologs CO1 and CO2 fails to alter normal reproductive onset and fall bud set in woody perennial poplar.

Sample Metadata Fields

Specimen part

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accession-icon GSE28693
CO2 network analysis in poplar
  • organism-icon Populus tremula x populus alba
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Poplar Genome Array (poplar)

Description

We conducted microarray experiments by comparing constitutive constructs with appropriate controls, followed by the identification of downstream targets of Pro35S:CO2.

Publication Title

Overexpression of CONSTANS homologs CO1 and CO2 fails to alter normal reproductive onset and fall bud set in woody perennial poplar.

Sample Metadata Fields

Specimen part

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accession-icon GSE28689
CO1 network analysis in poplar
  • organism-icon Populus tremula x populus alba
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Poplar Genome Array (poplar)

Description

We conducted microarray experiments by comparing constitutive constructs with appropriate controls, followed by the identification of downstream targets of Pro35S:CO1

Publication Title

Overexpression of CONSTANS homologs CO1 and CO2 fails to alter normal reproductive onset and fall bud set in woody perennial poplar.

Sample Metadata Fields

Specimen part

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accession-icon GSE8623
Senseless-responsive and GAL4-responsive genes in larval salivary glands of late Drosophila prepupae
  • organism-icon Drosophila melanogaster
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8620
GAL4-responsive genes in larval salivary glands of late Drosophila prepupae
  • organism-icon Drosophila melanogaster
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The yeast transcription factor GAL4 has been reported to cause cell death and to have other biological effects when expressed in Drosophila (Kramer and Staveley, 2003: Genet. Mol. Res. 2, 43; Rezaval et al., 2007: Eur. J. Neurosci. 25, 683). Using heat-shock-induced expression of GAL4 to drive expression of a UAS-senseless responder gene in transcriptional profiling experiments, we found that the underlying cause of these effects might be a genomic response to GAL4. To further characterize this response and to account for GAL4-independent changes caused by the transgene integration, GAL4 was expressed from two copies of the transgene in two independent lines, P{GAL4-Hsp70.PB}89-2-1 (short P{hs-GAL4}89) and P{hs-GAL4}X1. In addition, GAL4 was expressed from only one copy of the transgene in P{hs-GAL4}89 prepupae to account for the dosage dependence of observed effects. Prepupae carrying the hs-GAL4 transgenes were subjected to a 30-min heat shock treatment (37 C) at 9 hours after puparium formation. RNA was isolated from salivary glands dissected from these and similarly treated w1118 control animals at 14 hours after puparium formation and subjected to microarray analysis with Affymetrix GeneChips. The microarray data identified an overlapping set of 1,009 genes that showed an at least 1.5-fold change in expression in both of the GAL4-expressing lines, defining a core set of GAL4-responsive genes in the salivary glands. This set includes genes involved in the control and execution of programmed cell death and in other important regulatory pathways.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8619
Senseless-responsive genes in larval salivary glands of late Drosophila prepupae
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

When misexpressed in late Drosophila prepupae, the transcription factor Senseless (Sens) blocks death of the larval salivary glands that normally occurs in the early pupa. The aim of the experiment was to identify genes responding to Sens that might mediate the effect of the protein on cell death and other biological processes. The yeast transcription factor GAL4, expressed from a heat-inducible transgene (P{GAL4-Hsp70.PB}89-2-1), was used to drive expression of Sens from a UAS-sens transgene. After crossing the GAL4 and UAS lines, expression of GAL4 was induced by a 30-min heat shock treatment (37 C) of the progeny at 9 hours after puparium formation. Salivary glands were dissected at 14 hours after puparium formation and RNA isolated for microarray analysis with Affymetrix GeneChips. Control samples were obtained from animals treated the same way carrying one copy of the GAL4 transgene (progeny of a cross between flies of the P{GAL4-Hsp70.PB}89-2-1 and w1118 strains) and w1118 animals. The microarray data identified several genes associated with programmed cell death, including caspase genes, which respond to Sens. In addition, the data show that many Drosophila genes respond to the yeast transcription factor GAL4 in a UAS-independent manner. To identify target genes of Sens that are of biological relevance, gene expression patterns in the presence of Sens were compared to gene expression patterns in both the presence and the absence of GAL4. This comparison revealed that Sens seems to preferentially downregulate targets that are upregulated by GAL4, suggesting that these genes may not necessarily constitute true transcriptional targets of Sens.

Publication Title

A genomic response to the yeast transcription factor GAL4 in Drosophila.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8722
Fork head-responsive genes in larval salivary glands of late Drosophila prepupae
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

When misexpressed in late Drosophila prepupae, the transcription factor Fork head (Fkh) blocks death of the larval salivary glands that normally occurs in the early pupa. The aim of the experiment was to identify genes responding to Fkh that might mediate the effect of the protein on cell death and other biological processes. Fkh was expressed in the line P[hs-Fkh111] from a heat-inducible transgene that encodes wild-type Fkh protein. Expression of Fkh was induced by incubating prepupae for 30 min in a 37 C water bath, starting at 9.5 hours after puparium formation. Salivary glands were dissected at 14 hours after puparium formation and RNA isolated for microarray analysis with Affymetrix GeneChips. Control samples were obtained from w1118 animals treated the same way. The microarray analysis identified 55 genes annotated as functioning in apoptosis whose expression was at least 1.5-fold changed by Fkh. These genes include the death genes hid and reaper, which play a central role in the control of salivary gland death. Other groups of significantly enriched genes include genes functioning in autophagy, steroid-signaling pathways, salivary gland secretion, and phospholipid metabolism. In addition, the microarray data identify genes as responsive to Fkh that are known to be controlled by the FOXA counterparts of Fkh in vertebrates, indicating that target genes and biological processes controlled by Fkh are evolutionarily conserved.

Publication Title

Genes and biological processes controlled by the Drosophila FOXA orthologue Fork head.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28349
Effect of milk and soy formula feeding on hepatic gene expression in the neonatal pig
  • organism-icon Sus scrofa
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The majority of babies in the US are formula-fed instead of breast fed. There are major differences in the composition of formulas and breast milk and yet little is known about metabolic differences in babies as the result of feeding these very different diets and how that might affect development or disease risk in later life. One concern is that soy-based formulas might have adverse health effects in babies as a result of the presence of low levels of estrogenic phytochemicals genistein and daidzein which are normally present in soy beans. In the current study, we used a piglet model to look at this question. Piglets were either fed breast milk from the sow or were fed two different infant formulas (cows milk-based or soy-based) from age 2 days to 21 days when pigs are normally weaned onto solid food. Blood glucose and lipids were measured. Formula-fed pigs were found to have lower cholesterol than breast fed piglets and in addition had larger stores of iron in their liver.Microarray analysis was carried out to see if changes in liver gene expression could explain these effects of formula feeding. It was found that overall gene expression profiles were influenced by formula feeding compared to breast fed neonates. Gender-independent and unique effects of formula influenced cholesterol and iron metabolism. Further, soy formula feeding in comparison to milk-based formula failed to reveal any estrogenic actions on hepatic gene expression in either male or female pigs.

Publication Title

Formula feeding alters hepatic gene expression signature, iron and cholesterol homeostasis in the neonatal pig.

Sample Metadata Fields

Sex

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accession-icon GSE30081
Blueberry Diets during Early Development Only Is Sufficient to Prevent Senescence of Osteoblasts and Bone Loss in Adulthood
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Appropriate nutrition during early development is essential for optimal bone mass accretion; however, linkage between early nutrition, childhood bone mass and prevention of bone loss later in life has not been extensively studied. In this report, we have demonstrated several fundamental issues in the field. 1) A significant prevention of ovariectomy (OVX) -induced bone loss from adult rats can occur with only 14 days consumption of a blueberry-containing diet immediately prior to puberty. 2) The molecular mechanisms underlying these effects involve increased myosin production and preserved a shuttle for transcription factors such as Runx2 from cytoplasm to nucleolus which stimulates osteoblast differentiation and reduces mesenchymal stromal cell senescence. 3) The effects of blueberry diet on preserving fidelity of osteoblast differentiation also overcome reduced osteoblast differentiation and activity due to OVX-induced degradation of collagen matrix.

Publication Title

Feeding blueberry diets in early life prevent senescence of osteoblasts and bone loss in ovariectomized adult female rats.

Sample Metadata Fields

Sex, Specimen part

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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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