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accession-icon SRP119979
Transcriptional characterisation of the nuclear reprogramming process of fibroblasts, neutrophils and keratinocytes into induced pluripotent stem cells.
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Nuclear reprogramming is an inefficient process with only a small proportion of cells successful converting into induced pluripotent stem (iPS) cells. However, in order to molecularly understand the process these rare intermediates need to be identified and isolated for profiling. In the context of this project we purified the rare reprogramming for three cell types (Fibroblasts, Neutrophils and Keratinocytes) by fluorescent activated cell sorting and submitted them, together with the resulting iPS cells, to RNA sequencing.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon SRP066815
Transcriptional Profiling Of Intestine Stem Cells Populations [RNA-Seq] (mouse)
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The isolation of pure populations of mouse intestinal stem cells (ISCs) is essential to facilitate functional studies of tissue homeostasis, tissue regeneration and intestinal diseases. However, the purification of ISCs has relied predominantly on the use of transgenic reporter alleles in mice. Here, we introduce a new combinational cell surface marker mediated strategy that allows the isolation of an ISC population transcriptionally and functionally equivalent to the gold standard Lgr5-GFP ISCs. We tested the ability of three cell surface marker mediated isolated strategies (termed SM2, SM4 and SM6 according to the number of key cell surface markers used) to purify ISCs and transcriptionally compared them to established standards, Lgr5-GFP high cells and cells negative for any ISC markers (Negative). The best cell surface marker mediated strategy (SM6) allowed the isolation of ISCs from reporter free mice (SM6-WT) that were functionally and transcriptionally distinct from cells isolated from transgenic mice (SM6-TG) due to Lgr5 haploinsufficiency. Overall design: To adequately benchmark the quality of our method with the existing methods, we performed first RNA sequencing with the Lgr5-GFP strain (C57/Bl6 background) on 5 FACS purified groups: SM2, SM4, SM6, Lgr5-GFPhigh reference population and cells negative or low for all of the cell surface markers used. We also performed RNA sequencing of SM6-TG and SM6-WT cells to investigate in detail potential transcriptional differences between them.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon SRP093689
Transcriptional profiling of human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Compare transcriptional profiles of naïve and primed pluripotent stem cells using high throughput RNA sequencing.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon E-MTAB-3614
Transcription profiling of Xenopus laevis early gastrulation embryos injected with alpha-amanitin against RNA polymerase II activity
  • organism-icon Xenopus laevis
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome Array (xenopuslaevis)

Description

Xenopus laevis embryos were injected with alpha-amanitin to inhibit RNA polymerase II activity. Embryos were allowed to develop up to stage 10.5 (early gastrula, control and alpha-amanitin injected embryos) and subsequently collected for RNA isolation. The transcriptome profiles of alpha-amanitin injected and control embryos were compared.

Publication Title

Robust activation of a Tbox-Gsc-Otx2 gene network independent of TATA binding protein family members

Sample Metadata Fields

Compound

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accession-icon E-MEXP-1288
Transcription profiling of mouse masseter and tibialis anterior muscles to determine expression differences between muscle groups
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Masseter and Tibialis anterior muscles from adult female control mice to determine expression differences between muscle groups

Publication Title

Expression profiling reveals heightened apoptosis and supports fiber size economy in the murine muscles of mastication.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon E-MEXP-1443
Transcription profiling by array of Arabidopsis guard cells and mesophyll cells in response to ABA treatment
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcriptional profiling of guard cells and mesophyll cells in response to ABA treatment

Publication Title

Isolation of a strong Arabidopsis guard cell promoter and its potential as a research tool.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Compound

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accession-icon SRP065372
Transcriptome analysis of broiler chick thymus after treatment of lipopolysaccharide derived from Salmonella typhimurium
  • organism-icon Gallus gallus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Chick thymus is the critical site for T cell development and can be damaged by lipopolysaccharide (LPS) derived from Salmonella typhimurium, one of the most deleterious food-borne pathogens. However, the mechanisms remain unclear. Here we reported the first time-series transcriptome research of chick thymus after Salmonella LPS treatment. Overall design: 12 dUTP libraries of thymus samples of newly hatched male chicks were sequenced at 0, 12, 36 and 72 h post LPS treatment with 3 replications at each time point.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Disease stage, Treatment

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accession-icon GSE17703
Bone marrow gene expression of pediatric acute lymphoblastic leukemia (ALL)
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Pediatric acute lymphoblastic leukemia (ALL) contains cytogenetically distinct subtypes that respond differently to cytotoxic drugs. Subtype classification can be also achieved through gene expression profiling. However, how to apply such classifiers to a single patient and correctly diagnose the disease subtype in an independent patient group has not been addressed. Furthermore, the underlying regulatory mechanisms responsible for the subtype-specific gene expression patterns are still largely unknown. Here, by combining three published microarray datasets (PMIDs: 12086872, 12730115, 17002788) on 535 Caucasian samples and generating a new dataset on 100 Chinese children ALL samples, we were able to 1) identify a 62-gene classifier with 97.6% accuracy from the Caucasian samples and validated it on the completely independent set of 100 Chinese samples, 2) to uncover potential regulatory networks of ALL subtypes. The classifier we identified was so far the only one that could be applied directly to a single sample and sustained validation in a large independent patient group. Our results also suggest that the etiology of ALL is largely the same among different ethnic groups, and that the transcription factor hubs in the predicted regulatory network might play important roles in regulating gene expression and development of ALL.

Publication Title

Gene expression-based classification and regulatory networks of pediatric acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Race

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accession-icon GSE51153
Identification of rice ethylene-response mutants and characterization of mhz1, mhz4 and mhz5 in distinct ethylene response and yield trait regulation
  • organism-icon Oryza sativa
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Ethylene plays major roles in adaptive growth of rice plants in water-saturated soil; however, ethylene signaling in rice is largely unclear. Here, we report identification and characterization of ethylene-response mutants based on distinct ethylene-response phenotypes of dark-grown rice seedlings.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP150612
Rapid and efficient conversion of human fibroblasts into functional neurons by small molecules
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Recent studies have demonstrated that human astrocytes and fibroblasts can be directly converted into functional neurons by small molecules. However, the reported reprogramming efficiency of human fibroblasts is extremely low, resulting in limited clinical application for the treatment of neurological disorders. Here, we report that human fibroblasts can be efficiently and directly reprogrammed into functional neuron-like cells (with a yield up to 82% TUJ1-positive neuron-like cells) by serially exposing cells to a combination of small molecules. These chemically induced neurons (iNs) displayed typical neuronal morphologies and showed neuronal transcriptional networks resembling human primary embryonic brain neurons. The iNs also exhibited mature firing patterns and formed functional synapse when cultured on mouse astrocytes. Importantly, the iNs can survive, mature and integrate into local circuits after transplantation into the postnatal mouse brains. Our study provides a rapid and efficient transgene-free approach for chemically generating neuron-like cells from human fibroblasts. Further, our approach offers strategies for disease modeling and drug discovery in central nervous system disorders.

Publication Title

Rapid and Efficient Conversion of Human Fibroblasts into Functional Neurons by Small Molecules.

Sample Metadata Fields

Sex, 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)

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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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