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accession-icon SRP066710
Zea mays Raw sequence reads
  • organism-icon Zea mays
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

comparative RNA-Seq analysis to compare gene expression profiles between mutant rtcs roots and wild-type roots under different N conditions.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP049446
Zea mays cultivar:Mo17 Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Bipolaris zeicola is a fungal pathogen that causes Northern corn leaf spot (NCLS), which is a serious foliar disease in maize and one of the most significant pathogens affecting global food security. Here, we report genome wide transcriptional profile analysis of maize leaf development inoculation with B.zeicola using next generation sequencing (NGS). We performed High-Throughput Digital Gene Expression analysis identify differential gene expression in resistant inbred lines Mo17 infection with B.zeicola, compared with CK (mock-treat). Deep sequencing was subsequently used to compare the digital gene expression (DGE) profiles of the healthy plants with the infected plants at four successive disease development stages, including CP (Contact period), PP (penetration period), IP (incubation period), PP (disease period). Of which, 466 differentially expressed genes were identified in all these libraries, KEGG pathway analysis of these genes suggested that involved in many biological processes of systemic symptom development, such as Plant hormone signal transduction, Starch and sucrose metabolism, Phenylpropanoid biosynthesis, and Photosynthesis. Our systematic analysis provides comprehensive transcriptomic information regarding systemic symptom development in fungal-infected plants. This information will help further our understanding of the detailed mechanisms of plant responses to fungal infection.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP042317
Zea mays strain:B73 MO17 Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Heterosis in early maize ear inflorescences development: A genome-wide transcription analysis in two maize inbred lines and its hybrids

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part

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accession-icon SRP189512
Genome wide analysis of 3'-UTR sequence elements and proteins regulating mRNA stability during maternal-to-zygotic transition in zebrafish: Developmental mRNA-seq timecourse
  • organism-icon Danio rerio
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Post-transcriptional regulation plays a crucial role in shaping gene expression. During the Maternal-to-Zygotic Transition (MZT), thousands of maternal transcripts are regulated, however, how different cis-elements and trans-factors are integrated to determine mRNA stability is still poorly understood. Here, we show that most transcripts are under combinatorial regulation by multiple decay pathways during zebrafish MZT. Using a massively parallel reporter assay, we identified cis-regulatory sequences in the 3'-UTR, including poly-U motifs that are associated with mRNA stability. In contrast, miR-430 target sequences, UAUUUAUU AU-rich elements (ARE), CCUC and CUGC elements emerged as destabilizing motifs, with miR-430 and AREs causing mRNA deadenylation upon genome activation. We identified trans-factors by profiling RNA-protein interactions and found that poly-U binding proteins are preferentially associated with 3'-UTR sequences and stabilizing motifs. We demonstrate that this activity is antagonized by poly-C motifs and correlated with protein binding. Finally, we integrated these regulatory motifs into a machine learning model that predicts reporter mRNA stability in vivo.This is the developmental mRNA-seq timecourse part of the study.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

View Samples
accession-icon SRP149556
mRNA structure dynamics identifies RNA remodelers and functional elements during embryogenesis: mRNA-seq
  • organism-icon Danio rerio
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA folding plays a crucial role in RNA function. However, our knowledge of the global structure of the transcriptome is limited to steady-state conditions, hindering our understanding of how RNA structure dynamics influences gene function. Here, we have characterized mRNA structure dynamics during the maternal-to-zygotic transition in zebrafish. We observe that on a global level, translation guides structure rather than structure guides translation. We detect a decrease in structure in translated regions, and identify the ribosome as a major remodeler of RNA structure in vivo. In contrast, we find that 3'-UTRs form highly folded structures in vivo, which can affect gene expression by modulating miRNA activity. Furthermore, we find that dynamic 3'-UTR structures are enriched in RNA decay elements, including regulatory elements in nanog, and cyclin A1, key maternal factors orchestrating the maternal-to-zygotic transition. These results reveal a central role of RNA structure dynamics in gene regulatory programs during embryogenesis.This is the developmental mRNA-seq timecourse part of the study.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

View Samples
accession-icon SRP090954
RESA identifies mRNA regulatory sequences with high resolution
  • organism-icon Danio rerio
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Gene expression is regulated extensively at the level of mRNA stability, localization, and translation. However, decoding functional RNA regulatory features remains a limitation to understanding post-transcriptional regulation in vivo. Here, we developed RNA Element Selection Assay (RESA), a method that selects RNA elements based on their activity in vivo and uses high-throughput sequencing to provide quantitative measurement of their regulatory function with near nucleotide resolution. We implemented RESA to identify sequence elements modulating mRNA stability during zebrafish embryogenesis. RESA provides a sensitive and quantitative measure of microRNA activity in vivo and also identifies novel regulatory sequences. To uncover specific sequence requirements within regulatory elements, we developed a bisulfite-mediated nucleotide conversion strategy for large-scale mutational analysis (RESA-bisulfite). Finally, we used the versatile RESA platform to map candidate protein-RNA interactions in vivo (RESA-CLIP). The RESA platform can be broadly applicable to uncover the regulatory features shaping gene expression and cellular function.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-1239
Transcription profiling time series of Danio rerio heart regeneration
  • organism-icon Danio rerio
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Amputation of heart tissue followed by regeneration of the heart. Samples were taken at 0 hpa (hours post-amputation), 6 hpa, 12 hpa, 24 hpa, 3 dpa and 5 dpa.

Publication Title

Simplet controls cell proliferation and gene transcription during zebrafish caudal fin regeneration.

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP129892
RES complex is associated with intron definition and required for zebrafish early embryogenesis
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000

Description

Pre-mRNA splicing is a critical step of gene expression in eukaryotes. Transcriptome-wide splicing patterns are complex and primarily regulated by a diverse set of recognition elements and associated RNA-binding proteins. The retention and splicing (RES) complex is formed by three different proteins (Bud13p, Pml1p and Snu17p) and is involved in splicing in yeast. However, the importance of the RES complex for vertebrate splicing, the intronic features associated with its activity, and its role in development are unknown. In this study, we have generated loss-of-function mutants for the three components of the RES complex in zebrafish and showed that they are required during early development. The mutants showed a marked neural phenotype with increased cell death in the brain and a decrease in differentiated neurons. Transcriptomic analysis of bud13, snip1 (pml1) and rbmx2 (snu17) mutants revealed a global defect in intron splicing, with strong mis-splicing of a subset of introns. We found these RES-dependent introns were short, rich in GC and flanked by GC depleted exons, all of which are features associated with intron definition. Using these features, we developed and validated a predictive model that classifies RES dependent introns. Altogether, our study uncovers the essential role of the RES complex during vertebrate development and provides new insights into its function during splicing.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

View Samples
accession-icon GSE47109
BreastPRS is a Gene Expression Assay that Stratifies Intermediate-Risk Oncotype DX Patients into High or Low-Risk for Disease Recurrence
  • organism-icon Homo sapiens
  • sample-icon 239 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Molecular prognostic assays, such as Oncotype DX, are increasingly incorporated into the management of patients with invasive breast carcinoma. BreastPRS is a new molecular assay developed and validated from a meta-analysis of publically available genomic datasets. We applied the assay to matched fresh-frozen (FF) and formalin-fixed paraffin embedded (FFPE) tumor samples to translate the assay to FFPE. A linear relationship of the BreastPRS prognostic score was observed between tissue preservation formats. BreastPRS recurrence scores were compared with Oncotype DX recurrence scores from 246 patients with invasive breast carcinoma and known Oncotype DX results. Using this series, a 120-gene linear discriminant algorithm (LDA) was trained to predict Oncotype DX risk groups and then applied to series of untreated, node-negative, estrogen receptor (ER) positive patients from previously published studies with known clinical outcomes. Correlation of recurrence score and risk group between Oncotype DX and BreastPRS was statistically significant (P<0.0001). 59 of 260 (23%) patients from four previously published studies were classified as intermediate-risk when the 120-gene LDA was applied. BreastPRS reclassified the 59 patients into binary risk groups (high vs. low-risk). 23 (39%) patients were classified as low-risk 36 (61%) as high-risk [P=0.029, HR: 3.64, 95% CI: 1.40 to 9.50]. At 10 years from diagnosis, the low-risk group had a 90% recurrence-free survival (RFS) rate, compared to 60% for the high-risk group. BreastPRS recurrence score is comparable to Oncotype DX and can reclassify Oncotype DX intermediate-risk patients into two groups with significant differences in RFS. Further studies are needed to validate these findings.

Publication Title

BreastPRS is a gene expression assay that stratifies intermediate-risk Oncotype DX patients into high- or low-risk for disease recurrence.

Alternate Accession IDs

E-GEOD-47109

Sample Metadata Fields

Disease stage

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accession-icon E-AFMX-1
Transcription profiling of human, chimp and mouse brain
  • organism-icon Macaca mulatta, Mus caroli, Mus musculus, Pan troglodytes, Pongo pygmaeus, Homo sapiens, Mus spretus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Microarray technologies allow the identification of large numbers of expression differences within and between species. Although environmental and physiological stimuli are clearly responsible for changes in the expression levels of many genes, it is not known whether the majority of changes of gene expression fixed during evolution between species and between various tissues within a species are caused by Darwinian selection or by stochastic processes. We find the following: (1) expression differences between species accumulate approximately linearly with time; (2) gene expression variation among individuals within a species correlates positively with expression divergence between species; (3) rates of expression divergence between species do not differ significantly between intact genes and expressed pseudogenes; (4) expression differences between brain regions within a species have accumulated approximately linearly with time since these regions emerged during evolution. These results suggest that the majority of expression differences observed between species are selectively neutral or nearly neutral and likely to be of little or no functional significance. Therefore, the identification of gene expression differences between species fixed by selection should be based on null hypotheses assuming functional neutrality. Furthermore, it may be possible to apply a molecular clock based on expression differences to infer the evolutionary history of tissues.

Publication Title

A neutral model of transcriptome evolution.

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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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