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accession-icon SRP070710
mRNA expressions in pre-treatment melanomas undergoing anti-PD-1 checkpoint inhibition therapy
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

PD-1 immune checkpoint blockade provides significant clinical benefits for cancer patients. However, factors influencing innate sensitivity remain incompletely catalogued. We analyzed the somatic mutanomes and transcriptomes of pretreatment melanoma biopsies. Mutations in cell adhesion genes and the DNA repair gene BRCA2 were enriched in responding tumors, and a high mutational load associated with improved survival. Innately resistant tumors displayed frequent transcriptomic up-expression of genes that enriched for mesenchymal transition, cell adhesion, ECM organization, wound-healing and angiogenesis. The transcriptomes of innate resistance also enriched for signatures indicating up-regulation of these processes. Notably, MAPK-targeted therapy (MAPKi) induced similar signatures in melanoma, suggesting that a form of MAPKi resistance mediates cross-resistance to anti-PD-1 therapy. Co-enrichment of IPRIM (Innate anti-PD-1 Resistance Induced by MAPKi) signatures defined a transcriptomic subset across advanced cancers, suggesting that attenuating processes underlying these signatures may augment anti-PD1 responses. Thus, multi-factorial determinants influence anti-PD-1 patterns in melanoma. Overall design: Melanoma biopsies pre-anti-PD-1 therapy were sent for transcriptomic analysis by paired-end RNAseq analysis to find the correlates of response vs. non-response to the therapy

Publication Title

Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19344
Expression data from tamoxifen treated and control injection treated Tg(MHC-MerCreMer) and wild type mus musculus.
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

-myosin heavy chain promoter controlled MerCreMer expression enables conditional, cardiomyocyte specific and tamoxifen dependent gene inactivation of floxed genes. Administration of tamoxifen has been linked to development of acute and transient cardiomyopathy. The mechanism for this is unknown.

Publication Title

Cre-loxP DNA recombination is possible with only minimal unspecific transcriptional changes and without cardiomyopathy in Tg(alphaMHC-MerCreMer) mice.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon SRP150723
Effect of BMP inhibition or stimulation of primary human keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

BMP treatment induces expression of late differenitation genes in primary human keratinocytes. Overall design: RNA-seq analysis after treatment with EGFR inhibitor AG1478 with or without BMP27 or BMP inhibitor DMH1. each treatment and control was performed in triplicate

Publication Title

Single-Cell ID-seq Reveals Dynamic BMP Pathway Activation Upstream of the MAF/MAFB-Program in Epidermal Differentiation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP147553
Splicing and epigenetic factors jointly regulate epidermal differentiation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the effects of silencing SRSF1 or ZMAT2 in human epidermal stem cells on the transcriptome of epidermal stem cells. We found that silencing ZMAT2 or SRSF1 affects global splicing, however, ZMAT2 seems to regulate splicing of a smaller more specific subset of genes. Overall design: RNA-sequencing data following silencing SRSF1 or ZMAT2

Publication Title

Splicing and Chromatin Factors Jointly Regulate Epidermal Differentiation.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP155035
STVI-120 Induction of differentiation in human epidermal stem cells followed by differential splicing analysis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the effects of induction of differentiation in human epidermal stem cells on the splicing of the transcriptome. Overall design: RNA-sequencing data following induction of differentiation in human epidermal stem cells

Publication Title

Splicing and Chromatin Factors Jointly Regulate Epidermal Differentiation.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE32500
Whole Genome Expression after Hypoxia and Reoxygenation in the Newborn Mouse Lung, Brain and Eye
  • organism-icon Mus musculus
  • sample-icon 177 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Perinatal asphyxia is detrimental to the newborn baby and the use of supplemental oxygen during resuscitation may worsen the prognosis of these babies. The mechanism behind hyperoxic injury is not fully understood and our aim was to investigate four oxygen therapies following hypoxia and these effects on transcriptional activity.

Publication Title

Transcriptome profiling of the newborn mouse brain after hypoxia-reoxygenation: hyperoxic reoxygenation induces inflammatory and energy failure responsive genes.

Sample Metadata Fields

Specimen part

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accession-icon SRP049674
Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

We developed an affinity purification approach to isolate tagged nuclei in mice (similar to INTACT; [Deal R.B. and Henikoff S. A simple method for gene expression and chromatin profiling of individual cell types within a tissue. Dev. Cell 18,1030-1040. (2010)]) and used it to characterize genome-wide patterns of transcription, DNA methylation, and chromatin accessibility in 3 major neuron classes of the neocortex (excitatory pyramidal neurons, parvalbumin (PV)-positive GABAergic interneurons, and vasoactive intestinal peptide (VIP)-positive GABAergic interneurons). By combining cell purification and integrative analysis, our findings relate the phenotypic and functional complexity of neocortical neurons to their underlying transcriptional and epigenetic diversity. Overall design: RNA-seq, MethylC-seq, ATAC-seq, and ChIP-seq for histone modifications using INTACT-purified nuclei from the mouse neocortex

Publication Title

Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP106148
p63 controls the enhancer landscape during keratinocyte differentiation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

Here we characterized the transcriptome and epigenome of control keratinocytes during differentiation. Epigenomic analyses showed that the temporal enrichment of p63 motifs in dynamic enhancers underscores the key role of p63 in orchestrating the enhancer landscape during keratinocyte differentiation. The cooperation between p63 and its co-regulating factors, such as RUNX1, is important for the finetuning of gene expression. Overall design: RNA-Seq, H3K4me3 ChIP-Seq and H3K27me3 ChIP-Seq of keratinocytes during differentiation on day0(proliferation), day2(early differentiation), day4(mid differentiation) and day7(late differentiation). RUNX1 ChIP-Seq of keratinocytes at the proliferation stage(day0).

Publication Title

Mutant p63 Affects Epidermal Cell Identity through Rewiring the Enhancer Landscape.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP150759
Simultaneous quantification of antibody-RNA conjugates and the transcriptome from fixed cells by RAID
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Undifferentiated and differentiated Keratinocytes (AG1478 treated) were stained with antibody-RNA conjugates to measure protein-based diffrentiation changes in conjunction with single-cell transcriptomics. The cells were crosslinked and stained according to the RAID procedure to allow intracellular immunostaining. Antibodies used in this experiment are (TGM1, NOTCH1, KLK6, JAG1, phospho-RPS6, phospho-FAK). Overall design: Three 384 wells plates for untreated and Three 384 wells plates for AG1478 treated cells were processed for single cell transcriptomics

Publication Title

Combined quantification of intracellular (phospho-)proteins and transcriptomics from fixed single cells.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP150624
Comparison of single-cell transcriptomics quality between unfixed cells and cells that were fixed and mock stained according to the RAID procedure
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Cell fixation, permeabilization and antibody staining of could have adverse effects on the quality of single cell transcriptomics data. To assess the effects of the RAID procedure, which includes such steps, we performed a direct comparison of single cell transcriptomics by CELseq2 using unfixed and RAID-processed cells. Quality measures (gene complexity, gene detection rate, average gene expression) were performed using 40000 samples UMI counts per cell. Overall design: Single cells were sorted in 96, wells plates. Per condition (unfixed or RAID) three sets (A,B,C) of 48 cells were processed with the CELseq2 protocol.

Publication Title

Combined quantification of intracellular (phospho-)proteins and transcriptomics from fixed single cells.

Sample Metadata Fields

Specimen part, Subject

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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