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accession-icon SRP018853
Altered microRNA expression in individuals at high risk of type 1 diabetes
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of pancreatic insulin-producing ß cells. CD4+ T cells are integral to the pathogenesis of T1D, but biomarkers that define their pathogenic status in T1D are lacking. miRNAs have essential functions in a wide range of tissues/organs, including the immune system. We reasoned that CD4+ T cells from individuals at high risk for T1D (pre-T1D) might be distinguished by an miRNA signature. We sorted CD4+ T cells from 9 healthy and 7 pre-T1D individuals into 6 subsets, namely naïve, resting regulatory (rTreg), activated regulatory (aTreg), transitional memory (Ttm), central memory (Tcm) and effector memory (Tem) cells, and then compared miRNA profiles between these subsets and between pre-T1D and healthy individuals by deep sequencing. Differential expression of miRNAs was detected in each of the CD4+ T cell subsets. For example, expression of miRNAs that induce apoptosis (miR-15a) or FOXP3 instability (miR-31) was increased in rTreg and aTreg cells, respectively, in pre-T1D individuals, whereas miR-150 was increased in Tem cells of pre-T1D individuals. Importantly, increased miR-150 expression could be detected by qRT-PCR in total CD4+ T and PBMCs of pre-T1D individuals. Consistent with it being a marker of pathogenic CD4+ T cells, we showed that miR-150 regulates IFN-? production in mouse CD4+ T cells. Thus, comprehensive profiling identifies miRNA profiles that not only distinguish CD4+ T cell subsets but also discriminate individuals with preclinical T1D. The ability to detect differentially expressed miRNAs in total CD4+ T cells or PBMCs should facilitate clinical application of miRNAs as biomarkers. Overall design: CD4+T cells from healthy and individuals at high risk for autoimmune type 1 diabetes were sorted into 6 subsets, which resulted in 80 samples, 38 for healthy and 42 for high risk individuals. Each sample was barcoded and miRNA libraries were constructed and subsequently subjected to deep-sequencing on the Illumina GAII or HiSeq platform. The Fastq files are have deconvoluted and stripped of the barcode adaptor sequences.

Publication Title

MicroRNAs in CD4(+) T cell subsets are markers of disease risk and T cell dysfunction in individuals at risk for type 1 diabetes.

Sample Metadata Fields

Subject

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accession-icon GSE32112
Gene expression data from muscle sample of pig commercial herd Pix(DLxDE).
  • organism-icon Sus scrofa
  • sample-icon 206 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

In this study, we used correlation analysis of the expression profiles and carcass traits to produce a list of functional candidate genes under the assumption that genes with strong correlation between their expression values and drip belong to pathways or networks relevant for the control of the trait.

Publication Title

Elucidating molecular networks that either affect or respond to plasma cortisol concentration in target tissues of liver and muscle.

Sample Metadata Fields

Specimen part

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accession-icon GSE29340
Microarray analysis reveals genes and functional networks relevant to the predisposition for inverted teats in pigs
  • organism-icon Sus scrofa
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The inverted teat defect is an inherited disorder characterised by the failure of teats to protrude from the udder surface. The number and identity of relevant genes are unknown.

Publication Title

Microarray analysis reveals genes and functional networks relevant to the predisposition to inverted teats in pigs.

Sample Metadata Fields

Specimen part

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accession-icon GSE32956
Global transcriptome analysis of mammary tissue during fetal bud formation and growth in two pig breeds
  • organism-icon Sus scrofa
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The mammary gland development in swine begins at embryogenesis. The number and identity of relevant genes are unknown.

Publication Title

Gene expression analysis of mammary tissue during fetal bud formation and growth in two pig breeds--indications of prenatal initiation of postnatal phenotypic differences.

Sample Metadata Fields

Specimen part

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accession-icon GSE25445
Gene expression data from liver sample of pig commercial herd Pix(DLxDE).
  • organism-icon Sus scrofa
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

In this study, we used correlation analysis of the expression profiles and carcass traits to produce a list of functional candidate genes under the assumption that genes with strong correlation between their expression values and drip belong to pathways or networks relevant for the control of the trait.

Publication Title

Integrating expression profiling and whole-genome association for dissection of fat traits in a porcine model.

Sample Metadata Fields

Specimen part

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accession-icon GSE25484
Fetal programming of hepatic transcriptome in response to gestational dietary protein levels in the pig
  • organism-icon Sus scrofa
  • sample-icon 121 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A high protein diet during pregnancy affects hepatic gene expression of energy sensing pathways along ontogenesis in a porcine model.

Sample Metadata Fields

Specimen part

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accession-icon GSE33740
Fetal programming of muscle transcriptome in response to gestational dietary protein levels in the pig
  • organism-icon Sus scrofa
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional response of skeletal muscle to a low-protein gestation diet in porcine offspring accumulates in growth- and cell cycle-regulating pathways.

Sample Metadata Fields

Specimen part

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accession-icon GSE25483
Fetal programming of hepatic transcriptome in response to gestational dietary protein levels in the pig (HP data set)
  • organism-icon Sus scrofa
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

German landrace gilts were fed a high protein diet (HP, 30% CP) throughout their whole pregnancy. Subsequently hepatic transcriptome profiles of the offspring were analysed at prenatal (94 dpc) and postnatal stages (1, 28, 188 dpn)

Publication Title

A high protein diet during pregnancy affects hepatic gene expression of energy sensing pathways along ontogenesis in a porcine model.

Sample Metadata Fields

Specimen part

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accession-icon GSE25482
Fetal programming of hepatic transcriptome in response to gestational dietary protein levels in the pig (AP data set)
  • organism-icon Sus scrofa
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

German landrace gilts were fed an adequate protein diet (AP, 12% CP) throughout their whole pregnancy. Subsequently hepatic transcriptome profiles of the offspring were analysed at prenatal (94 dpc) and postnatal stages (1, 28, 188 dpn).

Publication Title

A high protein diet during pregnancy affects hepatic gene expression of energy sensing pathways along ontogenesis in a porcine model.

Sample Metadata Fields

Specimen part

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accession-icon GSE38602
Transcriptional response to tetanus vaccination in porcine PBMCs
  • organism-icon Sus scrofa
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Three groups of German Landrace piglets were vaccinated with tetanus toxoid. Transcriptome profiles of PBMC were analysed from blood samples taken 0, 2, 4, 8, 24 and 75 hours after a first vaccination and 0, 2, 4, 8, 24 and 75 hours as well as 14 d after a second vaccination on day 14.

Publication Title

Transcriptomic response of porcine PBMCs to vaccination with tetanus toxoid as a model antigen.

Sample Metadata Fields

No sample metadata fields

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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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