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accession-icon GSE18822
Transcript profiling of common bean using the Soybean Genome Array: optimizing analysis by masking biased probes
  • organism-icon Phaseolus vulgaris, Glycine max
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Common bean (Phaseolus vulgaris) and soybean (Glycine max) both belong to the Phaseoleae tribe and share significant coding sequence homology. To evaluate the utility of the soybean GeneChip for transcript profiling of common bean, we hybridized cRNAs purified from nodule, leaf, and root of common bean and soybean in triplicate to the soybean GeneChip. Initial data analysis showed a decreased sensitivity and specificity in common bean cross-species hybridization (CSH) GeneChip data compared to that of soybean. We employed a method that masked putative probes targeting inter-species variable (ISV) regions between common bean and soybean. A masking signal intensity threshold was selected that optimized both sensitivity and specificity. After masking for ISV regions, the number of differentially-expressed genes identified in common bean was increased by about 2.8-fold reflecting increased sensitivity. Quantitative RT-PCR analysis of a total of 20 randomly selected genes and purine-ureides pathway genes demonstrated an increased specificity after masking for ISV regions. We also evaluated masked probe frequency per probe set to gain insight into the sequence divergence pattern between common bean and soybean. The results from this study suggested that transcript profiling in common bean can be done using the soybean GeneChip. However, a significant decrease in sensitivity and specificity can be expected. Problems associated with CSH GeneChip data can be mitigated by masking probes targeting ISV regions. In addition to transcript profiling CSH of the GeneChip in combination with masking probes in the ISV regions can be used for comparative ecological and/or evolutionary genomics studies.

Publication Title

Transcript profiling of common bean (Phaseolus vulgaris L.) using the GeneChip Soybean Genome Array: optimizing analysis by masking biased probes.

Sample Metadata Fields

Specimen part

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accession-icon GSE22227
Expression data of Soybean (Glycine max) roots from different iron treatments.
  • organism-icon Glycine max
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Two Near Isogenic soybean (Glycine max) lines were grown in hydroponic conditions with either 50uM ferric nitrate or 100uM ferric nitrate. After 10 days, half the plants were harvested (total root tissue). At 12 days after planting, iron was added to plants grown in low iron conditions bringing them up to sufficient iron growth conditions. Root tissue was harvested for the remaining plants at 14 days after planting.

Publication Title

An integrative approach to genomic introgression mapping.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE38783
Acute venous hypertension induces local release of inflammatory cytokines and endothelial activation in humans
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Venous hypertension is often present in advanced and in acute decompensated heart failure (HF). However, it is unclear whether high intravenous pressure can cause alterations in homeostasis by promoting inflammation and endothelial cell (EC) activation. We used an experimental model of acute, local venous hypertension to study the changes in circulating inflammatory mediators and EC phenotype that occur in response to biomechanical stress. Methods and Results: Twenty-four healthy subjects (14 men, age 352 years) were studied. Venous arm pressure was increased to ~30 mmHg above baseline level by inflating a tourniquet cuff around the dominant arm (test arm). Blood and endothelial cells (ECs) were sampled from test and control arm (lacking an inflated cuff) before and after 75 minutes of venous hypertension, using angiocatheters and endovascular wires. Magnetic beads coated with EC specific antibodies were used for EC separation; amplified mRNA was analyzed by Affymetrix HG-U133 2.0 Microarray. Plasma endothelin-1 (ET-1), interleukin-6 (IL-6), vascular cell adhesion molecule-1 (VCAM-1) and chemokine (C-X-C motif) ligand 2 (CXCL2) were significantly increased in the congested arm. 5,332 probe sets were differentially expressed in venous ECs before vs. after testing. Among the 143 probe sets that exhibited a significant absolute fold change >2, we identified several inflammatory mediators including ET-1, VCAM-1, and CXCL2. Conclusions: Acute experimental venous hypertension is sufficient to cause local increase in circulating inflammatory mediators and to activate venous ECs in healthy human subjects. Additional work is needed to determine the effect of venous hypertension in patients with established HF.

Publication Title

Peripheral venous congestion causes inflammation, neurohormonal, and endothelial cell activation.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE26764
Gene expression profiling of miR-regulated genes in proliferating C2C12
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to detail the global programme of gene expression upon the over-expression of seven different differentiation-associated, E1A-regulated microRNAs.

Publication Title

Differentiation-associated microRNAs antagonize the Rb-E2F pathway to restrict proliferation.

Sample Metadata Fields

Cell line

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accession-icon GSE28457
Gene expression profile of E1A infected C2C12 myotubes
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Proliferating C2C12 myoblasts were induced to differentiate into myotubes and then infected with adenovirus expressing E1A (Ad-E1A), which induces cell cycle re-entry and dedifferentiation.

Publication Title

Differentiation-associated microRNAs antagonize the Rb-E2F pathway to restrict proliferation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

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accession-icon SRP127668
Transcriptomic study of zinc-deficient Saccharomyces cerevisiae wild-type, atg1?, and atg41? strains
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: ATG41 is involved both in autophagy and zinc-deficient growth. The goal of this study is to compare transcriptomic profiles of wild-type and atg41? strains to discover autophagy-independent molecular phenotypes for the mutant. The atg1? mutant is a control for autophagy activity. Methods: Wild-type and mutant yeast were grown to mid-log phase in replete medium and shifted to zinc-deficient medium for 8 hours, after which, cells were harvested for RNA sequencing to detect differential gene expression. Results: Gene expression data for virtually every gene (~6,000) was obtained with ~12,000,000 reads per sample. Differential gene expression analysis showed that several hundred genes were differentially experessed in the atg41? mutant (greater than 2-fold) at an FDR of 0.5. Conclusions: Most strikingly, we found that the atg41? mutant transcriptome shows signs that sulfur metabolism is distrupted during zinc-deficinet growth. Expression of Met4 gene targets is increased. Overall design: mRNA from wild-type, atg1?, and atg41? yeast strains was prepared from zinc-deficient cultures in quadruplicate and sequenced. Single-end, 100bp sequencing was performed, using v4 SBS chemistry on an Illumina HiSeq2500 sequencer.

Publication Title

An Autophagy-Independent Role for <i>ATG41</i> in Sulfur Metabolism During Zinc Deficiency.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE35679
lung carcinoid
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global gene expression of 13 frozen samples, 6 from typical and 7 from atypical surgically resected primary lung carcinoids

Publication Title

Gene expression profiling reveals GC and CEACAM1 as new tools in the diagnosis of lung carcinoids.

Sample Metadata Fields

Sex

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accession-icon GSE44972
Cell reprogramming requires silencing of a core subset of Polycomb targets.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcription factor (TF)-induced reprogramming of somatic cells into induced pluripotent stem cells (iPSC) is associated with genome-wide changes in chromatin modifications. Polycomb-mediated histone H3 lysine-27 trimethylation (H3K27me3) has been proposed as a defining mark that distinguishes the somatic from the iPSC epigenome. Here, we dissected the functional role of H3K27me3 in TF-induced reprogramming through the inactivation of the H3K27 methylase EZH2 at the onset of reprogramming. Our results demonstrate that surprisingly the establishment of functional iPSC proceeds despite global loss of H3K27me3. iPSC lacking EZH2 efficiently silenced the somatic transcriptome and differentiated into tissues derived from the three germ layers. Remarkably, the genome-wide analysis of H3K27me3 in Ezh2 mutant iPSC cells revealed the retention of this mark on a highly selected group of Polycomb targets enriched for developmental regulators controlling the expression of lineage specific genes. Erasure of H3K27me3 from these targets led to a striking impairment in TF-induced reprogramming. These results indicate that PRC2-mediated H3K27 trimethylation is required on a highly selective core of Polycomb targets whose repression enables TF-dependent cell reprogramming.

Publication Title

Cell reprogramming requires silencing of a core subset of polycomb targets.

Sample Metadata Fields

Specimen part

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accession-icon GSE11092
CD34 blood cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD34+ positively isolated from healthy donors (stimulated by G-CSF) with magnetic beads (after blood leukapheresis)

Publication Title

NA-Seq: a discovery tool for the analysis of chromatin structure and dynamics during differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP050272
Expression and Prognostic impact of LncRNAs in Acute Myeloid Leukemia
  • organism-icon Homo sapiens
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides located within the intergenic stretches or overlapping antisense transcripts of protein coding genes. LncRNAs are involved in numerous biological roles including imprinting, epigenetic regulation, apoptosis and cell-cycle. To determine whether lncRNAs are associated with clinical features and recurrent mutations in older patients (aged =60 years) with cytogenetically normal (CN) acute myeloid leukemia (AML), we evaluated lncRNA expression in 148 untreated older CN-AML cases using a custom microarray platform. Overall design: In this study, we analyzed a large set of older CN-AML patients using custom lncRNA microarrays to investigate whether lncRNA expression is associated with clinical features, molecular abnormalities and outcome and to build a prognostic lncRNA signature that was subsequently validated using RNA sequencing. This submission represents RNA-Seq component of study.

Publication Title

Expression and prognostic impact of lncRNAs in acute myeloid leukemia.

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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