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accession-icon GSE12422
O-glycan inhibitors generate aryl-glycans, induce apoptosis, and inhibit growth in colorectal cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Our studies provide direct evidence that O-glycosylation pathways play a role in the regulation of cell growth through apoptosis and proliferation pathways. Eight small molecular weight analogues of the GalNAc-alpha-1-O-serine/threonine structure based on 1-benzyl-2-acetamido-2- deoxy-alpha-O-D-galactopyranoside have been synthesised and tested in 5 human colorectal cancer cell lines. Three inhibitors, 1-benzyl-2-acetamido-2-deoxy-alpha-O-D-galactopyranoside and the corresponding 2-azido- and C-glycoside analogues, were screened in two colorectal cancer cell lines at 0.5mM and showed induction of apoptosis. Proliferation was down regulated in the same two cell lines with all three inhibitors, as detected by Ki67 staining and gene array. Treatment both cell lines with inhibitors led to changes in glycosylation detected with peanut lectin. The competitive action of the inhibitors resulted in the intracellular formation of 28 aryl-glycan products which were identified by MALDI and electrospray mass spectroscopy. The structures found map onto known O-glycosylation biosynthetic pathways and showed a differential pattern for each of the inhibitors in both cell lines. Gene array analysis of the glycogenes illustrated a pattern of glycosytransferases that matched the glycan structures found in glycoproteins and aryl-glycans formed in the PC/AA/C1/SB10C cells, however there was no action of the three inhibitors on glycogene transcript levels. The inhibitors act at both intermediary metabolic and genomic levels, resulting in altered protein glycosylation and arylglycan formation. These events may play a part in growth arrest.

Publication Title

O-glycan inhibitors generate aryl-glycans, induce apoptosis and lead to growth inhibition in colorectal cancer cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22147
microRNAs-449 control vertebrate multi-ciliogenesis by repressing Notch signalling
  • organism-icon Homo sapiens, Xenopus laevis
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Control of vertebrate multiciliogenesis by miR-449 through direct repression of the Delta/Notch pathway.

Sample Metadata Fields

Specimen part

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accession-icon GSE19190
Distinct epithelial gene expression phenotypes in childhood respiratory allergy
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE19187
Nasal epithelium gene expression profiling in child respiratory allergic disease
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE19182
Gene expression profiling of differentiated HNECs stimulated by IL4, IL13, IFNalpha, IFNbeta, IFNgamma and controls
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE22143
Transcriptomic impact of microRNAs-449 or microRNAs-34 overexpression in proliferating human airway epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to detail the global programme of gene expression that occurs in response to miR-449 or miR-34 overexpression in proliferating HAECs.

Publication Title

Control of vertebrate multiciliogenesis by miR-449 through direct repression of the Delta/Notch pathway.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE22142
Transcriptome analysis during the time course of regeneration of the human airway mucociliary epithelium
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The regeneration of the airway mucociliary epithelium involves several sequential events including migration, proliferation, polarization and final differentiation (i.e ciliogenesis).

Publication Title

Control of vertebrate multiciliogenesis by miR-449 through direct repression of the Delta/Notch pathway.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP051621
Gene expression profiling of zebrafish embryos at 1 hour post injection of PAMPs
  • organism-icon Danio rerio
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We use the zebrafish embryo model to study the transcriptome responses to flagellin and Pam3CSK4. Therefore, we injected these PAMPs into the caudal vein at the 27 hours post fertilization and took samples at 1 hour post injection. Overall design: This deep sequence study was designed to determine the gene expression profile by Pam3CSK4 and flagellin injection. RNA was isolated from embryos at 1 hour post injection. Wildtypes and tlr2- and tlr5a- morphants zebrafish embryos were micro-injected into the caudal vein with 1ng of Pam3CSK4, 0,1 ng flagellin , or water as a control at 27 hours post fertilization. After injections embryos were transferred into fresh egg water and incubated at 28°C. At 1 hour post injection triplicates of 10 to 15 embryos per condition were snap-frozen in liquid nitrogen, and total RNA was isolated using TRIZOL reagent.

Publication Title

Biological clock function is linked to proactive and reactive personality types.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28815
Expression comparison between SMC4 and conventional cultures
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The undifferentiated state of pluripotent stem cells depends heavily on the culture conditions. We show that a unique combination of small molecules, SMC4, added to culture conditions converts primed pluripotent stem cells to a more nave state. By conducting Affymetix analysis we show of majority of lineage markers are repressed in SMC4 culture.

Publication Title

A novel platform to enable the high-throughput derivation and characterization of feeder-free human iPSCs.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP149147
KAP1 regulates ERVs in differentiated human cells and contributes to innate immune control
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Endogenous retroviruses (ERVs) have accumulated in vertebrate genomes and contribute to the complexity of gene regulation. KAP1 represses ERVs during development by its recruitment to their repetitive sequences through KRAB-zinc finger proteins (KZNFs), but little is known about the regulation of ERVs in differentiated cells. We observed that KAP1 repression of HERVK14C was conserved in differentiated human cells and performed KAP1 knockout to obtain an overview of KAP1 function. Our results show that KAP1 represses ERVs (including HERV-T and HERV-S) and ZNFs, both of which overlap with KAP1 binding sites and H3K9me3 in multiple cell types. Furthermore, this pathway is functionally conserved in primary peripheral blood mononuclear cells. Cytosine methylation that acts on KAP1-regulated loci is necessary to prevent an interferon response, and KAP1-depletion leads to activation of some interferon-stimulated genes. Finally, loss of KAP1 leads to a decrease in H3K9me3 enrichment at ERVs and ZNFs and an RNA-sensing response mediated through MAVS signaling. These data indicate that the KAP1-KZNF pathway contributes to genome stability and innate immune control in differentiated human cells. Overall design: Dissection of which transposons and genes KAP1 regulates in differentiated human cells

Publication Title

KAP1 regulates endogenous retroviruses in adult human cells and contributes to innate immune control.

Sample Metadata Fields

Cell line, Subject

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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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Developed by the Childhood Cancer Data Lab

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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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