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accession-icon SRP013491
Zea mays Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

P1 encodes an R2R3-MYB transcription factor responsible for the accumulation of insecticidal flavones in maize silks and red phlobaphene pigments in pericarps and other floral tissues, which contributed to making P1 an important visual marker since the dawn of modern genetics. We conducted RNA-Seq using pericarps at two different stages, 14 and 25 days after pollination (DAP). High-throughput sequencing using the Illumina platform resulted in the generation of ~20 million high quality reads, from which ~90% aligned to the recently completed maize genome sequence corresponding to ~5 million reads for each one of the four samples. Overall design: Examination of two different RNA samples from two different stages of maize pericarp tissues.

Publication Title

A genome-wide regulatory framework identifies maize pericarp color1 controlled genes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP013490
Zea mays Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

P1 encodes an R2R3-MYB transcription factor responsible for the accumulation of insecticidal flavones in maize silks and red phlobaphene pigments in pericarps and other floral tissues, which contributed to making P1 an important visual marker since the dawn of modern genetics. We conducted RNA-Seq using from maize silks obtained at 2-3 days after emergence. High-throughput sequencing using the Illumina platform resulted in the generation of ~14 million high quality reads, corresponding to ~7 million reads for each sample, from which 76% aligned to the maize genome. Overall design: Examination of two different RNA samples from maize silks obtained at 2-3 days after emergence

Publication Title

A genome-wide regulatory framework identifies maize pericarp color1 controlled genes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE16193
Interfering with Proximal TLR4 to NF-kappaB Signal Transduction in Human Monocytes
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Carbon monoxide (CO) is an endogenous messenger that suppresses inflammation, modulates apoptosis and promotes vascular remodeling. Here, microarrays were employed to globally characterize the CO (250 ppm) suppression of early (1 h) LPS-induced inflammation in human monocytic THP-1 cells. CO suppressed 79 of 101 immediate-early genes induced by LPS; 19% (15/79) were transcription factors and most others were cytokines, chemokines and immune response genes. The prototypic effects of CO on transcription and protein production occurred early but decreased rapidly. CO activated p38 MAPK, ERK1/2 and Akt and caused an early and transitory delay in LPS-induced JNK activation. However, selective inhibitors of these kinases failed to block CO suppression of LPS-induced IL-1beta, an inflammation marker. Of CO-suppressed genes, 81% (64/79) were found to have promoters with putative NF-kappaB binding sites. CO was subsequently shown to block LPS-induced phosphorylation and degradation of IkappaBalpha in human monocytes, thereby inhibiting NF-kappaB signal transduction. CO broadly suppresses the initial inflammatory response of human monocytes to LPS by reshaping proximal events in TLR4 signal transduction such as stress kinase responses and early NF-kappaB activation. These rapid, but transient effects of CO may have therapeutic applications in acute pulmonary and vascular injury.

Publication Title

Carbon monoxide blocks lipopolysaccharide-induced gene expression by interfering with proximal TLR4 to NF-kappaB signal transduction in human monocytes.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE52474
Late Multiple Organ Surge in Interferon-regulated Target Genes Characterizes Staphylococcal Enterotoxin B Lethality
  • organism-icon Mus musculus
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Bacterial superantigens are virulence factors that cause toxic shock syndrome. Here, the genome-wide, temporal response of mice to lethal intranasal staphylococcal enterotoxin B (SEB) was investigated in six tissues (PBMC, lung, spleen, kidney, heart, Liver).The earliest responses and largest number of affected genes occurred in tissues (PBMCs, spleen and lung) with the highest content of both T-cells and monocyte/macrophages, the direct cellular targets of SEB. In contrast, the response of liver, kidney and heart was delayed and involved fewer genes, but revealed a dominant genetic program that was seen in all 6 tissues. Many of the 85 uniquely annotated transcripts participating in this shared genomic response have not been previously linked to SEB. Global gene-expression changes measured serially across multiple organs identified new candidate mechanisms of SEB-induced death.

Publication Title

Late multiple organ surge in interferon-regulated target genes characterizes staphylococcal enterotoxin B lethality.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE112229
The Major Surface Glycoprotein of Pneumocystis murina Does not Activate Dendritic Cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The major surface glycoprotein (Msg) is the most abundant surface protein of Pneumocystis species. Given that Msg is present on both the cyst and trophic form of Pneumocystis, and dendritic cells play a critical role in initiating host immune responses, we undertook studies to examine activation of bone marrow-derived myeloid dendritic cells by Msg purified from P. murina. Incubation of dendritic cells with Msg did not lead to increased expression of CD40, CD80, CD86, or MHCII, or increased secretion of any of 10 cytokines. Microarray analysis identified very few differentially expressed genes. In contrast, LPS activated dendritic cells by all of these assays. However, Msg did bind to mouse mannose macrophage receptor and human DC-SIGN, two C-type lectins expressed by dendritic cells that are important in recognition of pathogen-associated high mannose glycoproteins. Deglycosylation of Msg demonstrated that this binding was dependent on glycosylation. These studies suggest that Pneumocystis has developed a mechanism to avoid activation of dendritic cells, potentially by the previously identified loss of genes that are responsible for the high level of protein mannosylation found in other fungi.

Publication Title

The Major Surface Glycoprotein of Pneumocystis murina Does Not Activate Dendritic Cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE79079
-glucans are Masked but Contribute to Pulmonary Inflammation During Pneumocystis Pneumonia
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

-glucans, which can activate innate immune responses, are a major component in the cell wall of the cyst form of Pneumocystis. In the current study we examined whether -1,3 glucans are masked by surface proteins in Pneumocystis, and what role -glucans play in Pneumocystis-associated inflammation. For 3 species, including P. jirovecii, which causes Pneumocystis pneumonia (PCP) in humans, P. carinii, and P. murina, -1,3 glucans were masked in most organisms, as demonstrated by increased exposure following trypsin treatment. Using Q-PCR and microarray techniques, we demonstrated in a mouse model of PCP that treatment with caspofungin, an inhibitor of -1,3 glucan synthesis, for 21 days, decreased expression of a broad panel of inflammatory markers, including IFN-, TNF-, IL-1, IL-6, and multiple chemokines/chemokine ligands. Thus, -glucans in Pneumocystis cysts are largely masked, which likely decreases innate immune activation; this mechanism presumably was developed for interactions with immunocompetent hosts, in whom organism loads are substantially lower. In immunosuppressed hosts with a high organism burden, organism death and release of glucans appears to be an important contributor to deleterious host inflammatory responses.

Publication Title

β-Glucans Are Masked but Contribute to Pulmonary Inflammation During Pneumocystis Pneumonia.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE12837
Gene expression in human myeloid cells.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12803
Gene expression in human myeloid cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP062223
The Polycomb protein BMI1 induces an invasive gene expression signature in melanoma that promotes metastasis and chemoresistance.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The epigenetic regulator BMI1 is upregulated in many human malignancies and has been implicated in cell migration, but the impact on autochthonous tumor progression is unexplored. Our analyses of human expression data show that BMI1 levels increase with progression in melanoma. We find that BMI1 expression in melanoma cells does not influence cell proliferation or primary tumor growth. In contrast, BMI1 levels are a key determinant of melanoma metastasis, whereby deletion impairs and overexpression enhances dissemination. Remarkably, BMI1’s pro-metastatic effect reflects enhancement of all stages of the metastatic cascade including invasion, migration, extravasation, adhesion and survival. Additionally, downregulation or upregulation of BMI1 induces sensitivity or resistance to BRAF inhibitor. Consistent with these pleiotropic effects, we find that BMI1 promotes widespread gene expression changes that encompass key hallmarks of the melanoma invasive signature, including activation of TGFß, non-canonical Wnt, EMT and EGF/PDGF pathways. Importantly, for both primary and metastatic melanoma samples, this BMI1-induced signature identifies invasive subclasses of human melanoma and predicts poor patient outcome. Our data yield key insights into melanoma biology and establish BMI1 as a compelling drug target whose inhibition would suppress both metastasis and chemoresistance. Overall design: Three replicates of A375 BMI1 or GFP overexpressing cells.

Publication Title

BMI1 induces an invasive signature in melanoma that promotes metastasis and chemoresistance.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2218
Changes in transcript abundance and association with large polysomes in response to hypoxia stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

7d-old WT ler seedlings were submitted to 12h of non-stress (air) or hypoxia-stress treatment under low light conditions (45 uM m-2 s-2), and Total and Large Polysome RNA from both treatments were extracted and hybridized against Affymetrix genome chips. Values were used to evaluate changes in transcript abundance and transcript association with large polysomal complexes.

Publication Title

Genome-wide analysis of transcript abundance and translation in Arabidopsis seedlings subjected to oxygen deprivation.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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