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accession-icon SRP092882
Drosophila allele specific expression
  • organism-icon Drosophila melanogaster
  • sample-icon 66 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

This study crossed Drosophila melanogaster genotypes from four populations to the reference genome line. RNAseq data was then generated to study natural variation in allele specific expression.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP113626
Saccharomyces cerevisiae RNAseq Raw sequence reads
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 338 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

WT cells and mutants during growth on low phosphate levels and recovery

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon SRP113638
Saccharomyces cerevisiae RNAseq Raw sequence reads
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 200 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

WT and mutants cells during growth in low phosphate levels and recovery into 20mM phosphate

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon ERP002075
RNAseq sequencing of 5 unrelated individuals to study RNA-DNA Differences in Human Mitochondria Restore Ancestral Form of 16S Ribosomal RNA
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNA sequences are generally identical to the underlying DNA sequences but there are known exceptions. These RNA-DNA differences (RDDs) have been found in the nuclear genomes of human cells and in the mitochondria of plants and animals but not in human mitochondria. Here by deep sequencing of DNA and RNA of human mitochondria, we identified 3 RDD sites including an A-to-U and an A-to-G RDD at position 2617. Examination of the precursor polycistronic mitochondrial transcripts shows that the RDD formation occurs post-transcriptionally. Phylogenetic analysis shows that the ancestral allele at position 2617 was a thymine or a guanine. Thus the RDD formation recapitulates the ancestral form of 16S rRNA. Our findings show that RDD formation like other RNA processing steps is conserved across species and likely has functional significance.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP152744
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

RNA-sequencings of TSPY1-overexpressed A549 and HepG2 cells were performed to systematically explore the signaling pathways in which TSPY1 is involved during tumor progression.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

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accession-icon SRP015012
Gallus gallus Oviduct Transcriptome
  • organism-icon Gallus gallus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Using HiSeq2000 to sequence white leghorn different parts (ovary, magnum, isthmus and uterus) of oviduct at 40-weeks.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP077553
Transcriptome profile and gene expression in the human placenta
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this study, we performed a NGS analysis to identify transcriptome landscape of the human placenta during uncomplicated single and twin pregnancy, to establish a pattern of normal placental genes expression for further comprehensive analyses. Additionall aim of these studies was to identify the differentially expressed transcripts of genes in single and twin pregnancy that may participate in human pregnancy.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon SRP063481
RNA-Seq analysis for drip loss in Pietrain × Duroc × Landrace × Yorkshire
  • organism-icon Sus scrofa
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Identification of candidate genes for drip loss

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon ERP005567
Generation of a de novo trascriptome assembly from equine lamellar tissue
  • organism-icon Equus caballus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The equine hoof is a specialized structure in which the distal skeleton is suspended within the capsule by interdigitated structures known as laminae. Inflammation of this tissue, known as laminitis, is a devastating disease that is the second leading cause of both lameness and euthanasia in the horse. Current research on the laminitic transcriptome focuses on the expression of known genes. However, as this tissue is quite unique and equine annotation is largely derived from computational predictions and gene models from other species, there are likely yet uncharacterized transcripts expressed in the laminae that may be involved in the etiology of laminitis. In order to create a novel annotation resource, we performed whole transcriptome sequencing of sagittal lamellar sections from one control and two laminitis affected horses. Assembly of 113 million 100bp reads resulted in around 75,000 transcripts. Of these, 36,000 corresponded to known annotation in NCBI's non-redundant protein database. RT-PCR of 12 selected annotations confirmed structure and expression in lamellar tissue. Transcriptome sequencing represents a powerful tool to expand on equine annotation and identify novel targets for further laminitis research.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
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

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

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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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