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accession-icon GSE21774
CD62L expression identifies a unique subset of polyfunctional CD56dim NK cells: Groups 1-3
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors.

Publication Title

CD62L expression identifies a unique subset of polyfunctional CD56dim NK cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP054972
PDGFRa+ cells in ESC cultures represent the in vitro equivalent of the pre-implantation primitive endoderm precursors
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mouse Embryonic Stem Cells (ESCs) express PDGFRa heterogeneously, fluctuating between a PDGFRa+ (PrE-primed) and a Platelet Endothelial Cell Adhesion Molecule 1 (PECAM1)-positive state (epiblast-primed). The two surface markers can be co-detected on a third subpopulation, expressing epiblast and PrE determinants. Overall design: Three different subpopulatiosn were sorted based on PECAM1/PDGFRa expression and analyzed by NGS

Publication Title

PDGFRα<sup>+</sup> Cells in Embryonic Stem Cell Cultures Represent the In Vitro Equivalent of the Pre-implantation Primitive Endoderm Precursors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43270
Genome wide-DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE43191
Genome wide-DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients (gene expression)
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

The aim of this study is to identify, for the first time, the genome-wide DNA methylation profiles of human articular chondrocytes from OA and healtly cartilage samples.

Publication Title

Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE21383
Expression data from porcine ovary tissue of sows from two prolificacy levels
  • organism-icon Sus scrofa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Previous results from a genome scan in a F2 Iberian by Meishan intercross showed several chromosome regions associated with litter size traits. In order to identify candidate genes underlying these QTL we have performed an ovary gene expression analysis during pregnancy. F2 sows were ranked by their estimated breeding values for prolificacy, the six sows with higher EBV (HIGH prolificacy) and the six with lower EBV (LOW prolificacy) were selected. Samples were hybridized to Affymetrix porcine expression microarrays. The statistical analysis with a mixed-model approach identified 221 differentially expressed probes, representing 189 genes. These genes were functionally annotated in order to identify the genetic pathways overrepresented. Among the most represented functional groups the first one was immune system response activation against external stimulus. The second group was made up of genes which regulate the maternal homeostasis by complement and coagulation cascades. The last group was involved on lipid and fatty acid enzymes of metabolic processes, which participate in steroidogenesis pathway. In order to identify powerful candidate genes for prolificacy, the second approach of this study was merging microarray data with position information of QTL affecting litter size, previously detected in the same experimental cross. According to this, we have identified 27 differentially expressed genes co-localized with QTL for litter size traits, which fulfill the biological, positional and functional criteria.

Publication Title

Differential gene expression in ovaries of pregnant pigs with high and low prolificacy levels and identification of candidate genes for litter size.

Sample Metadata Fields

Specimen part

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accession-icon SRP150181
Comparative gene expression analysis in the Arabidopsis thaliana root apex using RNA-seq and microarray transcriptome profiles [RNA-seq]
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays. Single root tip zones can be used for full transcriptome analysis; further, the root apex zones are functionally very distinct from each other. RNA-Seq provided novel information about the transcripts compared to the arrays. These data will help optimize transcriptome techniques for dealing with small, rare samples. Overall design: Arabidopsis thaliana var. Columbia (COL-0) seedlings were grown on sterile solid media plates containing 0.5 % phytagel. The plates were vertically placed in growth chambers with continuous light (80-100 µmol m -2) at a constant temperature of 19° C. Eight day old seedlings were harvested into RNA-later solution in a 50 mL centrifuge tubes and stored at -20 °C freezer. The root tips were dissected into zone-I: 0.5mm from the tip including the root cap and root division zones, and zone-II: 1.5mm sections including root elongation and root hair zone. Microarray and sequencing experiments were performed.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the <i>Arabidopsis</i> root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE115555
Comparing RNA-Seq and microarray gene expression data in two zones of the Arabidopsis root apex relevant to spaceflight
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the &lt;i&gt;Arabidopsis&lt;/i&gt; root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE115486
Comparative gene expression analysis in the Arabidopsis thaliana root apex using RNA-seq and microarray transcriptome profiles [microarray]
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the &lt;i&gt;Arabidopsis&lt;/i&gt; root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon E-MTAB-1264
Transcription profiling by array of Arabidopsis whole plants and discrete root, hypocotyl and shoot responses to spaceflight
  • organism-icon Arabidopsis thaliana
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Arabidopsis thaliana was evaluated for its response to the spaceflight environment in three replicated experiments on the International Space Station. Two approaches were used; GFP reporter genes were used to collect gene expression data in real time within unique GFP imaging hardware, and plants were harvested on orbit to RNAlater for subsequent analyses of gene expression with using Affymetrix and SAGE transcriptome analyses. Three tissue types were examined (leaves, hypocotyls and roots) and compared to analyses conducted with whole plants. Transcriptome analyses with whole plants suggested that the spaceflight environment had little impact on the transcriptome of arabidopsis, however, closer examination of selected tissues revealed that there are a number of tissue-specific responses that arabidopsis employs to respond to this novel environment

Publication Title

Organ-specific remodeling of the Arabidopsis transcriptome in response to spaceflight.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE56659
The Arabidopsis spaceflight transcriptome: a comparison of whole plants to discrete root, hypocotyl and shoot responses to the orbital environment
  • organism-icon Arabidopsis thaliana
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

transcriptome response of Arabidopsis cultivar Columbia and WS whole plants and plant tissue roots, hypocotyls and shoots to the spaceflight environment

Publication Title

Organ-specific remodeling of the Arabidopsis transcriptome in response to spaceflight.

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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