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accession-icon GSE35185
Pan-genomic analysis of bovine monocyte-derived macrophage gene expression in response to in vitro infection with Mycobacterium avium subspecies paratuberculosis
  • organism-icon Bos taurus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Background: Mycobacterium avium subspecies paratuberculosis (MPTb) is the causative agent of Johnes disease, an intestinal disease of ruminants with major economic consequences. MPTb bacilli are phagocytosed by host macrophages upon exposure where they persist, resulting in lengthy subclinical phases of infection that can lead to immunopathology and disease dissemination. Consequently, analysis of the macrophage transcriptome in response to MPTb infection can provide valuable insights into the molecular mechanisms that underlie Johnes disease. Here, we investigate pan-genomic gene expression in bovine monocyte-derived macrophages (MDM) purified from seven age-matched non-related females, in response to in vitro infection with MPTb (multiplicity of infection 2:1) at intervals of 2 hours, 6 hours and 24 hours post-infection.

Publication Title

Pan-genomic analysis of bovine monocyte-derived macrophage gene expression in response to in vitro infection with Mycobacterium avium subspecies paratuberculosis.

Sample Metadata Fields

Sex, Age, Specimen part, Time

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accession-icon GSE59774
Key hub and bottleneck genes differentiate the macrophage response to virulent and attenuated Mycobacterium bovis
  • organism-icon Bos taurus
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Mycobacterium bovis is an intracellular pathogen that causes tuberculosis in cattle. Following infection, the pathogen resides and persists inside host macrophages by subverting host immune responses via a diverse range of mechanisms. Here, a high-density bovine microarray platform was used to examine the bovine monocyte-derived macrophage transcriptome response to M. bovis infection relative to infection with the attenuated vaccine strain, M. bovis Bacille CalmetteGurin. Differentially expressed genes were identified (adjusted P-value 0.01) and interaction networks generated across an infection time course of 2, 6 and 24 h. The largest number of biological interactions was observed in the 24 h network, which exhibited small-worldscale-free network properties. The 24 h network featured a small number of key hub and bottleneck gene nodes, including IKBKE, MYC, NFKB1 and EGR1 that differentiated the macrophage response to virulent and attenuated M. bovis strains, possibly via the modulation of host cell death mechanisms. These hub and bottleneck genes represent possible targets for immunomodulation of host macrophages by virulent mycobacterial species that enable their survival within a hostile environment.

Publication Title

Key Hub and Bottleneck Genes Differentiate the Macrophage Response to Virulent and Attenuated Mycobacterium bovis.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Time

View Samples
accession-icon SRP049057
RNA sequencing provides exquisite insight into the manipulation of the alveolar macrophage by tubercle bacilli
  • organism-icon Bos taurus
  • sample-icon 77 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mycobacterium bovis, the agent of bovine tuberculosis, causes an estimated $3 billion annual losses to global agriculture due, in part, to the limitations of current diagnostics. Development of next-generation diagnostics requires a greater understanding of the interaction between the pathogen and the bovine host. Therefore, to explore the early response of the alveolar macrophage to infection, we report the first application of RNA-sequencing to define, in exquisite detail, the transcriptomes of M. bovis-infected and non-infected alveolar macrophages from ten calves at 2, 6, 24 and 48?hours post-infection. Differentially expressed sense genes were detected at these time points that revealed enrichment of innate immune signalling functions, and transcriptional suppression of host defence mechanisms (e.g., lysosome maturation). We also detected differentially expressed natural antisense transcripts, which may play a role in subverting innate immune mechanisms following infection. Furthermore, we report differential expression of novel bovine genes, some of which have immune-related functions based on orthology with human proteins. This is the first in-depth transcriptomics investigation of the alveolar macrophage response to the early stages of M. bovis infection and reveals complex patterns of gene expression and regulation that underlie the immunomodulatory mechanisms used by M. bovis to evade host defence mechanisms. Overall design: Whole-transcriptome analysis of M. bovis- and non-infected alveolar macrophages from ten calves (n = 10) at 2, 6, 24 and 48 hours (h) post-infection using RNA-sequencing (RNA-seq).

Publication Title

RNA sequencing provides exquisite insight into the manipulation of the alveolar macrophage by tubercle bacilli.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

View Samples
accession-icon GSE33309
Global gene expression of bovine monocyte-derived macrophages in response to in vitro challenge with Mycobacterium bovis
  • organism-icon Bos taurus
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Background: Mycobacterium bovis, the causative agent of bovine tuberculosis, is a major cause of mortality in global cattle populations. Macrophages are among the first cells types to encounter M. bovis following exposure and the response elicited by these cells is pivotal in determining the outcome of infection. Here, a functional genomics approach was undertaken to investigate global gene expression profiles in bovine monocyte-derived macrophages (MDM) purified from seven age-matched non-related females, in response to in vitro challenge with M. bovis (multiplicity of infection 2:1). Total cellular RNA was extracted from non-challenged control and M. bovis-challenged MDM for all animals at intervals of 2 hours, 6 hours and 24 hours post-challenge and prepared for global gene expression analysis using the Affymetrix GeneChip Bovine Genome Array.

Publication Title

Global gene expression and systems biology analysis of bovine monocyte-derived macrophages in response to in vitro challenge with Mycobacterium bovis.

Sample Metadata Fields

Sex, Age, Specimen part, Time

View Samples
accession-icon SRP131037
Using Next-Generation Sequencing Transcriptomics to Determine Markers of Post-traumatic Symptoms - preliminary findings from a post-deployment cohort
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Post-traumatic stress disorder is a concerning psycho behavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is two-fold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing PTSD, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to test the hypothesis that the transcriptome can be used to track the development of PTSD in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms) were determined by RNA sequencing technology following their return from deployment to Afghanistan. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed significant differences in two genes, LRP8 and GOLM1 . These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist. Overall design: Peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms)

Publication Title

Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE25330
Expression data from In vitro induced C2 M cells in the presence of commensal bacteria
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

M cells are the main site of bacterial translocation in the intestine. We used the in vitro M cell model to study the effect of the commensal bacteria; Lactobacillus salivarius, Eschericha coli and Bacteroides fragilis, on M cell gene expression.

Publication Title

Differential intestinal M-cell gene expression response to gut commensals.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE17904
Whole genome analysis of Sertoli cell gene expression by retinoblastoma-1
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of the regulation of gene expression profiles by retinoblastoma-1 in Sertoli cells. Conditional knockout of Rb1 in Sertoli cells led to progressive infertiliy in male mice that occured between 10 and 14 weeks of age. Results of gene expression studies performed on 6 week-old purified Sertoli cells helped elucidate the key role of RB1 in mature, differentiated Sertoli cells.

Publication Title

Retinoblastoma protein plays multiple essential roles in the terminal differentiation of Sertoli cells.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE37383
Ulipristal and Progesterone Receptor
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Ulipristal blocks ovulation by inhibiting progesterone receptor-dependent pathways intrinsic to the ovary.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE37353
Gene expression profiling of ovaries collected from mice treated with or without Ulipristal
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ulipristal acetate (UPA), also referred to as VA/CDB-2914, is a new and promising emergency contraceptive. It is a selective progesterone receptor modulator (SPRM) that has been approved in Europe and the USA for emergency contraception.

Publication Title

Ulipristal blocks ovulation by inhibiting progesterone receptor-dependent pathways intrinsic to the ovary.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE37354
Gene expression profiling of ovaries collected from wild type (WT) mice and progesterone receptor (PR) knock out mice
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Previous studies have shown that PR is a critical regulator of ovulation. The PR-null mice (PRKO) failed to ovulate due to a failure in the rupture of the preovulatory follicles.

Publication Title

Ulipristal blocks ovulation by inhibiting progesterone receptor-dependent pathways intrinsic to the ovary.

Sample Metadata Fields

Specimen part

View Samples

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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