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accession-icon GSE79434
The impact of dietary fatty acids composition on the transcriptomes of six tissues reveals specific regulation of immune related genes
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Dietary polyunsaturated fatty acids (PUFA) are suggested to modulate immune function, but the effects of dietary fatty acids composition on gene expression patterns in immune organs have not been fully characterized. In the current study we investigated how dietary fatty acids composition affects the total transcriptome profile, and especially, immune related genes, in bone marrow cells (BMC) and spleen (SPL). Four tissues with metabolic function, skeletal muscle (SKM), white adipose tissue (WAT), brown adipose tissue (BAT), and liver (LIV), were investigated as a comparison. Following 8 weeks on low fat diet (LFD), high fat diet (HFD) rich in saturated fatty acids (HFD-S), or HFD rich in PUFA (HFD-P), tissue transcriptomics were analyzed by microarray and metabolic health assessed by fasting blood glucose level, HOMA-IR index, oral glucose tolerance test as well as quantification of crown-like structures in WAT. Interestingly, SKM and BMC were relatively inert to the diets, whereas the two adipose tissues (WAT and BAT) were mainly affected by HFD per se (both HFD-S and HFD-P). In particular, WAT gene expression was driven closer to that of the immune organs SPL and BMC by HFDs. Remarkably, the spleen, showed a major response to HFD-P, but not to HFD-S, whereas the LIV exhibited different responses to both of the HFDs. Further, HFD-P corrected the metabolic phenotype induced by HFD-S. Hence, the quantity and composition of dietary fatty acids affected the transcriptome in a distinct manner. Especially, PUFA prompted a specific regulation of immune related genes in the spleen. Thus, PUFA can regulate immune function by influencing gene expression.

Publication Title

Six Tissue Transcriptomics Reveals Specific Immune Suppression in Spleen by Dietary Polyunsaturated Fatty Acids.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE58358
Polyunsaturated dietary fats decrease mortality and bacterial load during septic S. aureus infection, and improve neutrophil function in mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Severe infections and sepsis is an increasing clinical problem that cause prolonged morbidity and substantial mortality. At present, antibiotics are essentially the only pharmacological treatment for sepsis. The incidence of antibiotic resistance is increasing and it is therefore critical to find new therapies for sepsis. Staphylococcus aureus (S. aureus) is a major cause of septic mortality. Neutrophils play a major role in defense against bacterial infections. We have recently shown that a saturated high fat diet decreases survival in septic mice, but the mechanisms behind remain elusive. The aim of the present study was to investigate how the dietary fat composition affects survival and neutrophils function after experimental septic infection in mice. We found that, after S. aureus infection, mice fed polyunsaturated high fat diet (HFD/P) for 8 weeks had increased septic survival and decreased bacterial load compared with mice fed saturated HFD (HFD/S), and similar to that of mice given low fat diet (LFD). Furthermore, uninfected mice fed HFD/P had increased number of Ly6G+ neutrophils in bone marrow. In addition, mice fed HFD/P had a higher number Ly6G+ neutrophils recruited to the site of inflammation after peritoneal injection of thioglycollate. In conclusion, polyunsaturated dietary fat increased both survival and the efficiency of the bacterial clearance during septic S. aureus infection. Moreover, this diet enhanced the number and chemotaxis of neutrophils, a key component of the immune response to S. aureus infections.

Publication Title

Dietary polyunsaturated fatty acids increase survival and decrease bacterial load during septic Staphylococcus aureus infection and improve neutrophil function in mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MTAB-2508
Transcriptional profiling of chronic myelogenous leukemia (CML) and normal, quiescent and dividing haematopoietic cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells.

Publication Title

Transcriptional analysis of quiescent and proliferating CD34+ human hemopoietic cells from normal and chronic myeloid leukemia sources.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE10730
Analysis of Iron Deficiency in Soybean Leaf Tissue
  • organism-icon Glycine max
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

This study was designed to identify candidate genes associated with iron efficiency in soybeans. Two genotypes, Clark (PI548553) and IsoClark (PI547430), were grown in both iron sufficient (100uM Fe(NO3)3) and iron deficient (50uM Fe(NO3)3) hydroponics conditions. The second trifoliate was harvested for RNA extraction for the microarray experiment. Candidate genes were identified by comparing gene expression profiles within genotypes between the two iron growth conditions.

Publication Title

Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52998
Adenovirus promotes host cell anabolic glucose metabolism via MYC activation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Adenovirus infection leads to increased glycolytic metabolism in host cells. Expression of a single gene product encoded within the E4 early transcription region, E4ORF1, is sufficient to promote increased glycolytic flux in cultured epithelial cells.

Publication Title

Adenovirus E4ORF1-induced MYC activation promotes host cell anabolic glucose metabolism and virus replication.

Sample Metadata Fields

Cell line

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accession-icon GSE31130
Non-overlapping progesterone receptor cistromes contribute to cell-specific transcriptional outcomes in breast cells
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Non-overlapping progesterone receptor cistromes contribute to cell-specific transcriptional outcomes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE31128
Progestin regulation of gene expression in breast cancer and minimally transformed breast cell lines
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Time course of response to synthetic progestin ORG2058 in T-47D and ZR-75-1 breast cancer cell lines and in two PR positive clones of the MCF-10A cell line: AB9 and AB32.

Publication Title

Non-overlapping progesterone receptor cistromes contribute to cell-specific transcriptional outcomes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE31127
Impact of FOXA1 over-expression on progestin signalling in transformed normal breast cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Genome wide gene expression profiling of response to synthetic progestin ORG2058 in AB32 cells, a PR positive clone of the MCF-10A cell line, was determined after lentiviral transduction with an expression construct

Publication Title

Non-overlapping progesterone receptor cistromes contribute to cell-specific transcriptional outcomes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE87486
Expression data from chick embryo olfactory placodes during initial period of GnRH neuronal production
  • organism-icon Gallus gallus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

We used microarrays to detail the global program of gene expression underlying gonadotropin-releasing hormone (GnRH) generation and delamination from the olfactory placode.

Publication Title

Serotonin Receptor 1A (HTR1A), a Novel Regulator of GnRH Neuronal Migration in Chick Embryo.

Sample Metadata Fields

Specimen part

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accession-icon GSE21947
Gene expression profiles of breast cancer subtypes are detectable in histologically normal breast epithelium
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: We hypothesize that important genomic differences between breast cancer subtypes occur early in carcinogenesis. Therefore, gene expression might distinguish histologically normal breast epithelium (NlEpi) from breasts containing estrogen receptor positive (ER+) compared with estrogen receptor negative (ER-) cancers.

Publication Title

Gene expression profiles of estrogen receptor-positive and estrogen receptor-negative breast cancers are detectable in histologically normal breast epithelium.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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