GEO DataSets

(Submitter supplied) Soybean is a rich source of protein and oil and a primary feedstock for biodiesel production. Previous research on soybean indicated that protein, oil and yield are controlled quantitatively in soybean seeds. However, genetic mechanisms controlling seed composition and yield in soybean remain unknown. We used Affymetrix Soybean GeneChips® to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean varieties, which differ in seed weight, yield, protein content and oil content. more...

Organism:

Glycine max

Type:

Expression profiling by array

Platform:

GPL4592

54 Samples

Download data: CEL

(Submitter supplied) Seed germination is important to soybean (Glycine max) growth and development, ultimately affecting soybean yield. A lower seed field emergence has been the main hindrance for breeding soybeans low in phytate. Although this reduction could be overcome by additional breeding and selection, the mechanisms of seed germination in different low phytate mutants remain unknown. In this study, we performed a comparative transcript analysis of two low phytate soybean mutants (TW-1 and TW-1-M), which have the same mutation, a 2 bp deletion in GmMIPS1, but show a significant difference in seed field emergence.

Organism:

Glycine max

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21998

18 Samples

Download data: TXT

(Submitter supplied) Purpose: Comprehensive comparison of gene-expression profiles between 3mlpa (mutant with low phytic acid) and 3MWT (non-mutant with normal phyic acid) soybean lines (Glycine max) at five stages of seed development using RNA-Seq approaches. Methods: mRNA sequencing reads (101SE) were generated in triplicate from five seed developmental stages of 3mlpa and 3MWT soybean line using Illumina HiSeq 2000. Results: A total of 4235 differentially expressed genes, including 512-transcription factor genes were identified. Eighteen biological processes such as apoptosis, glucan metabolism, cellular transport, photosynthesis and 9 transcription factor families including WRKY, CAMTA3 and SNF2 were enriched during seed development. Genes associated with apoptosis, glucan metabolism, and cellular transport showed enhanced expression in early stages of lpa seed development, while those associated with photosynthesis showed decreased expression in late developmental stages. Conclusion: This study provides a global perspective of transcriptomal changes during soybean seed development in 3mlpa mutant. The results suggest that low phtic acid-causing mutations in 3mlpa play a role in inducing and suppressing plant defense responses during early and late stages of seed development, respectively.

Organism:

Glycine max

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15008

30 Samples

Download data: TXT, XLSX

(Submitter supplied) Transformation of Glycine max with seed-targeted expression vectors via Agrobacterium causes measurable unscripted gene expression changes in the seed transcriptome

Organism:

Glycine max

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15008

36 Samples

Download data: GTF

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Triticum aestivum

Type:

Expression profiling by array

Platform:

GPL3802

76 Samples

Download data: CEL, EXP

(Submitter supplied) The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. more...

Organism:

Triticum aestivum

Type:

Expression profiling by array

Platform:

GPL3802

72 Samples

Download data: CEL, EXP

(Submitter supplied) The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. more...

Organism:

Triticum aestivum

Type:

Expression profiling by array

Platform:

GPL3802

4 Samples

Download data: CEL, EXP

(Submitter supplied) The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. more...

Organism:

Triticum aestivum

Type:

Expression profiling by array

Platform:

GPL3802

78 Samples

Download data: CEL, EXP

(Submitter supplied) The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. more...

Organism:

Triticum aestivum

Type:

Expression profiling by array

Platform:

GPL3802

4 Samples

Download data: CEL, EXP

(Submitter supplied) We used a chicken RNA microarray to identify differentially expressed genes in order to compare two layer lines kept in a small group housing system Eurovent Deutsch.

Organism:

Gallus gallus

Type:

Expression profiling by array

Platform:

GPL18368

60 Samples

Download data: CEL, TXT

(Submitter supplied) Comparative analysis of gene expression profiles in newly developed housing systems is important to understand gene functions in chicken for adaptation and possible gene-environment interactions among layer lines. Therefore, the objective of this study was to characterize the molecular processes that are different among the two layer lines Lohmann Selected Leghorn (LSL) and Lohmann Brown (LB) using whole genome RNA expression profiles. more...

Organism:

Gallus gallus

Type:

Expression profiling by array

Platform:

GPL3213

60 Samples

Download data: CEL

(Submitter supplied) Investigation of global gene expression changes in Saccharomyces cerevisiae strain NRRL Y-12632 (ATCC® 18824) grown in media made with asbestos mine tailings-laden water compared to the control grown in media made with double distilled water

Organism:

Saccharomyces cerevisiae; Schizosaccharomyces pombe

Type:

Expression profiling by array

Platform:

GPL2529

7 Samples

Download data: CEL

(Submitter supplied) Comparison of the Streptococcus pneumoniae D39 wild-type in CDM Plus 0mM CO and CDM plus 0,5 mM Co

Organism:

Streptococcus pneumoniae D39

Type:

Expression profiling by array

Platform:

GPL11484

2 Samples

Download data: TXT

(Submitter supplied) Developing osteoblasts undergo a sequence of three consecutive phases: cell proliferation, extracellular matrix maturation, and mineralization. We investigated pH effects on these phases using the osteoblast-like cell line MC3T3-E1.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL16570

12 Samples

Download data: CEL, XLSX

(Submitter supplied) With gene expression profiling it was aimed to identify the differentially expressed genes associated with the regulation of the cytoskeleton to investigate the stretch-induced cell alignment mechanism. A whole genome microarray based analysis of the stretch-induced gene expression changes was done. Gene expression was measured at the beginning of the alignment process showing first reoriented cells after 5 h stretching and at the end after 24 h, where nearly all cells are aligned. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13607

40 Samples

Download data: TXT

(Submitter supplied) Gene expression measurements were carried out in human primary astrocytes treated with either 0.1% DMSO (Control) or 300nM Topotecan for 24h and 48h, to assess the effect of topoisomerase I inhibition on the transcription of long genes.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

12 Samples

Download data: TXT

(Submitter supplied) Terminal differentiation in parotid acini relies on sustained changes in gene expression during the first few postnatal weeks. Little is known about what drives these changes. Expression measurements along with knowledgebased network analysis was used to develop a prospective gene regulatory network that drives differentiation. We used expression measurements along with knowledgebased network analysis was used to develop a prospective gene regulatory network that drives differentiation.

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Platform:

GPL1355

27 Samples

Download data: CEL

(Submitter supplied) Terminal differentiation in parotid acini relies on sustained changes in gene expression during the first few postnatal weeks. Little is known about what drives these changes. Expression measurements along with knowledgebased network analysis was used to develop a prospective gene regulatory network that drives differentiation. We used both microRNA and mRNA expression measurements along with knowledgebased network analysis was used to develop a prospective gene regulatory network that drives differentiation.

Organism:

Rattus norvegicus; Mus musculus

Type:

Other

Platform:

GPL19707

12 Samples

Download data: TXT, XLSX

(Submitter supplied) The microarray analysis is to investigate the different expression profile of microRNAs in bone marrow-derived progenitor cells from type 2 diabetic mice and healthy control mice. microRNA expression profiles were compared between bone marrow-derived progenitor cells from either type 2 diabetic db/db mice or their in-colony control litter db/+ mice.

Organism:

Mus musculus

Type:

Non-coding RNA profiling by array

Platform:

GPL20871

6 Samples

Download data: TXT

(Submitter supplied) In this study, we examine the consequences of the loss of two related factors, Onecut1 and Onecut2, during mouse retinal development and maturation.

Organism:

Mus musculus

Type:

Expression profiling by array

Dataset:

GDS5457

Platform:

GPL1261

6 Samples

Download data: CEL, CHP