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accession-icon SRP197300
RNA-seq data of PatchSeq dataset from Pvalb-Cre positive interneurons in the mouse hippocamus CA1 region
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study takes on the problem of bridging transcriptional data to neuronal phenotype and function by using publicly available datasets characterizing distinct neuronal populations based on gene expression, electrophysiology and morphology. In addition, a non-published PatchSeq dataset of Pvalb-cre positive cells in CA1 was used, which is the dataset submitted here. Taken together, these datasets were used to identify cross-cell type correlations between these data modalities. Detected correlations were classified as “class-driven” if they could be explained by differences between excitatory and inhibitory cell classes, or “non-class driven” if they could be explained by gradient like phenotypic differences within cell classes. Some genes whose relationships to electrophysiological or morphological properties were found to to be specific to either excitatory or inhibitory cell types. The Patch Seq data specifically allowed simultaneous single-cell characterization of gene expression and electrophysiology, showing that the gene-property correlations observed across cell types were further predictive of within-cell type heterogeneity. Overall design: Patchseq data was collected from single cells of the mouse hippocampus CA1 in order to investigate correlations between gene expression patterns and electrophysiological properties of various interneuron cell classes 19 individual cells Re-analysis details included in supplementary file readme.txt.

Publication Title

Transcriptomic correlates of electrophysiological and morphological diversity within and across excitatory and inhibitory neuron classes.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon SRP159173
PatchSeq analysis of Pthlh expressing cells of the mouse dorsolateral striatum
  • organism-icon Mus musculus
  • sample-icon 92 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to investigate how electrophysiological properties vary within the Pthlh population in the dorsolateral striatum we performed PatchSeq analysis of neurons labeled in 5HT3a(EGFP) and Pvalb(cre)::RCE/tdTomato mouse lines, which included Th, Npy/Mia, Cck, and Cck/Vip expressing cells. Overall design: 98 FACS-sorted single cells isolated from the dorso-lateral striatum from either a 5ht3a-EGFP mouse line or a Lhx6-cre mouse crossed onto a R26R-tdTomato reporter mouse line

Publication Title

Diversity of Interneurons in the Dorsal Striatum Revealed by Single-Cell RNA Sequencing and PatchSeq.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE93188
Transcriptomic fingerprints of C. elegans exposed to citrate coated superparamagnetic iron oxide nanoparticles (C-SPIONs) and to superparamagnetic iron oxide nanoparticles coated with a monolayer of bovine serum albumin (BSA-SPIONs)
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Gene 1.0 ST Array (elegene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Toxicogenomics of iron oxide nanoparticles in the nematode C. elegans.

Sample Metadata Fields

Specimen part

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accession-icon GSE93187
Transcriptomic fingerprints of C. elegans exposed to citrate coated superparamagnetic iron oxide nanoparticles (C-SPIONs)
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Gene 1.0 ST Array (elegene10st)

Description

Superparamagnetic Iron Oxide Nanoparticles (SPIONs) are currently being investigated for a range of biomedical applications. Their use have been related with different cytotoxic mechanisms including the generation of oxidative stress and the induction of metal detoxification pathways, among others. We have investigated the molecular mechanisms responsive to in-house fabricated citrate coated SPIONs (C-SPIONs) in the nematode C. elegans to compare in vivo findings with previous in vitro studies. C-SPIONs (500 g/ml) affected the transcriptional response of signal transduction cascades (i.e. TFG-beta), protein processing in the endoplasmic reticulum, and RNA transport, among other biological processes. They also triggered a lysosomal response, indicating a relevant biological role of this cellular compartment in the response to this nanoparticle treatment in C. elegans. Interestingly, other pathways frequently linked to nanotoxicity like oxidative stress or apoptosis were not identified as significantly affected in this genome-wide in vivo study despite the high dose of exposure.

Publication Title

Toxicogenomics of iron oxide nanoparticles in the nematode C. elegans.

Sample Metadata Fields

Specimen part

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accession-icon GSE93186
Transcriptomic fingerprints of C. elegans exposed to superparamagnetic iron oxide nanoparticles coated with a monolayer of bovine serum albumin (BSA-SPIONs)
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Gene 1.0 ST Array (elegene10st)

Description

Superparamagnetic Iron Oxide Nanoparticles (SPIONs) are currently being investigated for a range of biomedical applications. Their use have been related with different cytotoxic mechanisms including the generation of oxidative stress and the induction of metal detoxification pathways, among others. Different NP coatings are being explored, among them albumin which has been applied in some drugs delivery systems. We have investigated the molecular mechanisms responsive to in-house fabricated SPIONs coated with bovine serum albumin (BSA-SPIONs) in the nematode C. elegans to compare in vivo findings with previous in vitro studies. BSA-SPIONs (500 g/ml) affected the transcriptional response of glycan metabolic pathways related to innate immune response, xenobiotics degradation, and triggered a lysosomal response, indicating a relevant biological role of this cellular compartment in the response to this nanoparticle treatment in C. elegans. Remarkably, key biological functions such as apoptosis or protein processing were not affected with significance despite the high dose of exposure.

Publication Title

Toxicogenomics of iron oxide nanoparticles in the nematode C. elegans.

Sample Metadata Fields

Specimen part

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accession-icon SRP131032
Small molecule screen identifies de novo nucleotide synthesis as a vulnerability of cells lacking SIRT3
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Sirtuin 3 (SIRT3) is an NAD+-dependent deacetylase downregulated in aging and age-associated diseases such as cancer and neurodegeneration, and high fat diet (HFD)-induced metabolic disorders. Thus, we performed a small molecule screen and identified an unexpected metabolic vulnerability associated with SIRT3 loss. Overall design: RNA sequencing in SV40T immortalized SIRT3 WT (triplicates) and SIRT3 KO MEF (duplicates) lines under normal conditions.

Publication Title

Small-Molecule Screen Identifies De Novo Nucleotide Synthesis as a Vulnerability of Cells Lacking SIRT3.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE69619
DREAM in pain mechanisms in the trigeminal ganglia
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression of DREAM in dorsal root ganglia and spinal cord is related to endogenous control mechanisms of acute and chronic pain. In primary sensory trigeminal neurons high levels of endogenous DREAM protein are preferentially localized in the nucleus, suggesting a major transcriptional role. Here, we show that DREAM participates in the control of trigeminal pain perception through the regulation of prodynorphin and BDNF. Furthermore, genome-wide analysis of trigeminal neurons in daDREAM transgenic mice revealed that cathepsin L (CTSL) and the monoglyceride lipase (MGLL) are new DREAM downstream targets and have a role in the regulation of trigeminal nociception.

Publication Title

Transcriptional repressor DREAM regulates trigeminal noxious perception.

Sample Metadata Fields

Specimen part

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accession-icon SRP159013
Gene exression in single T cells across division states.
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Purpose: To compare diversity of primary human CD8+ T cells that have divided 0, 1, or 2 times on day 3 of ex vivo expansion from naïve resting state. Methods: Naïve T cells were enriched from human peripheral blood monoluclear cells (PBMCs), labeled with CFSE dye, and expanded for 3 days using rapid expansion protocol (Li, Y. & Kurlander, R.J. Journal of Translational Medicine, 2010). On day 3, 10,000 single live CFSE+ CD8+ T cells from each of divisions 0, 1, and 2 were sorted and immediately processed using 10X Genomics single-cell RNA-sequencing platform. Results: We found that undivided cells display the highest gene expression diversity. Using 1,000 most variably expressed genes, we created a force-directed layout, representing a phenotypic map of cellular differentiation across division states. To understand the basis of T-cell diversity, we defined and quantified regions of interest on this map based on diffusion pseudo-time (DPT), a metric of cell differentiation state. Finally, we examined gene expression in cells from each region and found that undivided cells acquire gene expression associated with effector cell function, while remaining cells go on to grow and differentiate. Conclusions: Our study provides insights into T-cell differentiation within an ex vivo expansion system for cancer immunotherapy applications. Overall design: A total of 4,060 cells (division 0: n = 552 cells, division 1: n = 1,777 cells, division23: n = 1,731 cells) were sequenced to an average of 52,040 post-normalization reads per cell capturing a median of 18,770 unique molecular identifier (UMI) counts per cell mapping to 3,544 unique genes per cell.

Publication Title

Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells.

Sample Metadata Fields

Subject

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accession-icon SRP150441
Heat shock-induced ribosomal intergenic spacer RNA
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Cells adapt to environmental stressors such as heat shock and extracellular acidosis through formation of nuclear membrane-less compartments called Amyloid bodies (A-bodies). Stressors activate formation of Amyloid bodies (A-bodies) via induction of ribosomal intergenic spacer RNA (rIGSRNA). RNA-seq on non-ribosome depleted RNA from human MCF7 cells exposed to heat shock (43C, 30 minutes) revealed the heat shock-specific expression profile of rIGSRNA. Overall design: Expression profile of the ribosomal intergenic spacer (i.e. rIGSRNA) in cells exposed to heat shock

Publication Title

Stress-Induced Low Complexity RNA Activates Physiological Amyloidogenesis.

Sample Metadata Fields

Specimen part, Disease, Cell line, Treatment, Subject

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accession-icon GSE18938
Effect of EGF and/or HER2 on the growth of MCF10A cells on extracellular matrix: time course
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mammary epithelial cells MCF10A and HER2 overexpressing MCF10A cells were grown on matrigel in the absence or presence of epidermal growth factor. Cells were lysed and RNA was collected at 1.5,3,5,7,9 days.

Publication Title

Modeling ductal carcinoma in situ: a HER2-Notch3 collaboration enables luminal filling.

Sample Metadata Fields

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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