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accession-icon SRP051659
Detection and Characterization of Gene Expression Differences in Transgenic Glycine max Seeds with RNAseq
  • organism-icon Glycine max
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transformation of Glycine max with seed-targeted expression vectors via Agrobacterium causes measurable unscripted gene expression changes in the seed transcriptome Overall design: mRNA was sequenced from three transgenic events expressing three different recombinant proteins in soybean seeds. Three plants were chosen from each as group replicates, and three seeds from each plant as individual biological replicates.

Publication Title

Transcript Polymorphism Rates in Soybean Seed Tissue Are Increased in a Single Transformant of <i>Glycine max</i>.

Sample Metadata Fields

Subject

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accession-icon GSE10857
Gene expression of rice root tips before, at and buckled by a hard layer in two rice varieties
  • organism-icon Oryza sativa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

The aim of this study was to determine the changes in gene expression of rice root tips when they came in to contact with a hard layer (60% wax layer). Three categories of root tips were sampled; tips before the hard layer, tips that had come into contact with the hard layer and root tips which had buckled after coming into contact with the hard layer.

Publication Title

A bioinformatic and transcriptomic approach to identifying positional candidate genes without fine mapping: an example using rice root-growth QTLs.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064595
RNA-seq analysis of LPS induced RIPK1 kinase dependent gene expression changes in CD11b+ myeloid bone marrow cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used RNA-seq as a method of next generation sequencing (NGS) to identify RIPK1 dependent inflammatory mediators and pathways in LPS injected mice. Overall design: Mice were divided intro 3 groups - control (n=2), LPS (n=2) and LPS/Nec-1 (n=2). BM cells were isolated by FACS as described for qPCR analysis. Total RNAs were isolated using Qiagen RNeasy kit according to the manufacturer's protocol

Publication Title

RIPK1 and RIPK3 Kinases Promote Cell-Death-Independent Inflammation by Toll-like Receptor 4.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE72797
Genome wide Affymetric Microarray analysis for RIPK1 dependent inflammatory changes in Bone Marrow Derived Macrophages (BMDMs)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene level expression estimate using the Whole Transcript (WT) Assay approach of the Gene 1.0 ST Array System for Mouse. This assay was done to identify the RIPK1-dependent gene expression changes in mouse BMDMs.

Publication Title

RIPK1 and RIPK3 Kinases Promote Cell-Death-Independent Inflammation by Toll-like Receptor 4.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE28747
Penfield: Understanding the affect of maternal environment on seed dormancy
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Maternal environment is an important regultor of seed dormancy, but the mechanisms underlying the process are poorly understood. We have found that genes in the circadian clock control dormancy, in part through their regulation of the canonical photoperiod pathway known from research into flowering time control. In this experiment we compare the affects of altering seed maturation temperature or maternal photoperiod on dry seed transcriptomes, and the photoperiod-insenstive ft-1 mutant to wt type Ler. In this way we are identifying gene expression programmes which result from the seed's response to maternal environmental experience.

Publication Title

Induction of dormancy in Arabidopsis summer annuals requires parallel regulation of DOG1 and hormone metabolism by low temperature and CBF transcription factors.

Sample Metadata Fields

Specimen part

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accession-icon SRP072417
NextGen Consortium: GENESiPS Study: Identifying the Gene Networks of Insulin Resistance
  • organism-icon Homo sapiens
  • sample-icon 317 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq transcriptome profiling of human induced pluripotent stem cells to characterize gene expression variation across individuals and within multiple iPSC lines from the same individual Overall design: Donor erythroblast or activated T-cells were reprogrammed with a Sendai viral vector coding for reprogramming factors. IPSC lines were propagated for ~9 passages before RNA sequencing

Publication Title

Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity.

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon SRP032775
Molecular Hallmarks of Naturally Acquired Immunity to Malaria
  • organism-icon Homo sapiens
  • sample-icon 232 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Immunity to malaria can be acquired through natural exposure to Plasmodium falciparum (Pf), but only after years of repeated infections. Typically, this immunity is acquired by adolescence and confers protection against disease, but not Pf infection per se. Efforts to understand the mechanisms of this immunity are integral to the development of a vaccine that would mimic the induction of adult immunity in children. The current study applies transcriptomic analyses to a cohort from the rural village of Kalifabougou, Mali, where Pf transmission is intense and seasonal. Signatures that correlate with protection from malaria may yield new hypotheses regarding the biological mechanisms through which malaria immunity is induced by natural Pf infection. The resulting datasets will be of considerable value in the urgent worldwide effort to develop a malaria vaccine that could prevent more than a million deaths annually. Overall design: 108 samples; paired pre- and post-challenge for 54 individuals 198 samples; paired pre- and post-challenge for 99 individuals

Publication Title

Transcriptomic evidence for modulation of host inflammatory responses during febrile Plasmodium falciparum malaria.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4565
A673 Ewing's sarcoma cells: stable-knockdown and inducible-rescue time course experiments
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Expression profiling of EWS/FLI identifies NKX2.2 as a critical target gene in Ewing's sarcoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4563
A673 inducible-rescue experiment
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A673 Ewing's sarcoma cells, with inducible EWS/FLI cDNA, harboring the EF-2-RNAi retrovirus, induced (or uninduced) for the indicated time period.

Publication Title

Expression profiling of EWS/FLI identifies NKX2.2 as a critical target gene in Ewing's sarcoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4560
A673 Stable-Knockdown
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A673 Ewing's sarcoma cells containing either control RNAi retroviral constructs (luc-RNAi), or RNAi retroviral constructs targeting the endogenous EWS/FLI fusion transcript (either EF-2-RNAi or EF-4-RNAi).

Publication Title

Expression profiling of EWS/FLI identifies NKX2.2 as a critical target gene in Ewing's sarcoma.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

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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