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accession-icon SRP065153
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Several studies have shown that long non-coding RNAs (lncRNAs) may play anessential role in Epithelial-mesenchymal transition (EMT), which is an important step in tumor metastasis, however, little is known about the global change of lncRNA transcriptome during EMT. To investigate how lncRNA transcriptome alteration contributes to EMT progression regulation, we performed a whole-transcriptome strand-specific RNA deep sequencing of MCF10A induced EMT by TGF-ß. Deep sequencing results showed that the long RNA (>=200-nt) transcriptome of MCF10A was undergone a global changed in EMT, and this alteration was determined as early as 8h after being induced using TGF-ß. 8703 linear novel genes with ambiguous protein-coding potential were identified, 512 of which were further determined to be novel lncRNAs. After analyzing the expression of 5473 known and novel lncRNAs, as well as 2208 known and novel circRNAs during EMT, we found a large numbers of lncRNAs might be involved in the regulation of EMT. Intriguingly, we identified 216 gene clusters constituted by lncRNAs and/ornovel genes in “gene desert” region. The expressions of all genes in these clusters were changed concurrently during EMT, indicating that these clusters might play important role in EMT. Our study reveals a global reprogramming of lncRNAs transcriptome in EMT and provides clues to the study of the molecular mechanism of EMT.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP023130
Gallus gallus strain:XH chicken and BEH chicken Transcriptome or Gene expression
  • organism-icon Gallus gallus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The transcriptome sequencing reveals the divergence of the genetic mechanism of reproductive traits in two Chinese native breeds. XH chicken was meat-type breed with low reproduction ability, with a 70~80% incidence of broodiness in population, with the duration of 15~30 d brooding, and with a production of 60~90 eggs per year. BEH chicken was layer-type breed with high reproduction ability, with a 10%~15% incidence of broodiness in population, with the duration of 7~20 d brooding, and with a production of 180 eggs per year.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP142026
Saccharomyces cerevisiae Raw sequence reads
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 34 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

As an ancient winning strategy of microorganisms, glucose repression mechanism has become specialized to perfection in Saccharomyces cerevisiae. The galactose (GAL) metabolism network is stringently regulated by glucose repression in yeast and has been a classic system for studying gene regulation. We show here that the population of S. cerevisiae living in fermented milks has autonomously reinstated an ancient version of the structural GAL genes through introgression. The introgressed GAL network has completely abolished the glucose repression and conversed from a strictly inducible to a constitutive system through coordinative polygenic changes in the regulatory components of the network, including transitions in the upstream repressing sequence site of GAL4 that impair Mig1p-mediated repression and loss of function of the inducer Gal3p and the repressor Gal80p. In addition, the introgressed GAL2 gene has been duplicated while the native HXT6 and HXT7 genes have been inactivated, resulting in galactose-over-glucose preference and elevated galactose utilization rate. Relying on the reverse evolution of the GAL network, the non-lactose fermenting yeast has become a dominant species co-existing with other lactose fermenting microorganisms in fermented milks. Our results also provide new clues for developing yeast strains devoid of barriers to co-utilization of different sugars.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon SRP165652
Homo sapiens Genome sequencing
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIon Torrent S5

Description

This study presented the preliminary mechanistic studies of teniposide analogs for toxicity reduction

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP151834
RNA-seq results of WT and CKIP-1 KO mouse macrophages
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The differential expression of gene in bone marrow derived macrophages from Ckip-1 KO mice and WT mice.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE81829
Mouse embryonic fibroblasts (MEFs) : AK156230 knockdown cells vs control cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

mRNAs expression profile of MEFs comparing AK156230 knockdown cells with control cells. The microarray with coverage of 45038 mouse mRNAs.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE86379
Expression data from BPH resistant and susceptible rice varieties
  • organism-icon Oryza sativa
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Bph6 is a gene that confers rice high resistance to its devastating pest BPH. Understanding the molecular responses of the resistant and susceptible varieties would pave the way to controlling the pest more effectively.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon SRP167225
Characterization of Transcriptomic Profile in Early Zebrafish PGCs by Single Cell Sequencing
  • organism-icon Danio rerio
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single cell RNA-seq was applied for studying the transcriptomic profile in early zebrafish PGCs(primordial germ cells) by choosing three time points during zebrafish embryonic development. The three time points were 6hpf(hours post fertilization, also called shield stage), 11hpf(also called 3-somite stage) and 24hpf(also called prim-5 stage).

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP128611
Pex3 deficiency effect on mouse testis
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Pex3 plays an essential role in peroxisomal membrane proteins (PMPs) import. Loss of Pex3 leads to a spermatogenic arrest.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP053172
Zea mays subsp. mays Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

Transcriptomic analysis of ZmUbi:ZmNAC111 transgenic maize under under well-watered and 2h dehydration stress conditions

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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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)

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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