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accession-icon SRP022764
Quantitative single-cell RNA-seq
  • organism-icon Mus musculus
  • sample-icon 236 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: We applied cDNA molecule counting using unique molecular identifiers combined with high-throughput sequencing to study the transcriptome of individual mouse embryonic stem cells, with spike-in controls to monitor technical performance. We further examined transcriptional noise in the embryonic stem cells. Overall design: One 96-well plate of single-stranded cDNA libraries generated from 96 single R1 mouse embryonic stem cells sequenced on two lanes, and one 96-well plate of the same libraries further amplified by 9 PCR cycles sequenced on one lane.

Publication Title

Quantitative single-cell RNA-seq with unique molecular identifiers.

Sample Metadata Fields

No sample metadata fields

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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 SRP112900
A novel addressable 9600-microwell array single cell RNA-seq method applied on fresh mouse cortical cells and frozen human cortical nuclei
  • organism-icon Mus musculus
  • sample-icon 647 Downloadable Samples
  • Technology Badge Icon

Description

We adopted the STRT-seq [Islam et al., Nat Methods 11, 163-166 (2013)] RNA-seq technology to a 9600-well array and applied it to analyze single cells from mouse and human cortex single cells. Overall design: 2192 single cells from mouse somatosensory cortex and 2028 single nuclei from human post-mortem middle temporal gyrus cortex.

Publication Title

STRT-seq-2i: dual-index 5' single cell and nucleus RNA-seq on an addressable microwell array.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP135960
Single cell sequencing of the whole adult mouse brain
  • organism-icon Mus musculus
  • sample-icon 115 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The study aims to determine the set of transcriptional cell types that make up the mouse brain

Publication Title

Molecular Architecture of the Mouse Nervous System.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP109011
Multipotent Peripheral Glial Cells Generate Neuroendocrine Cells of the Adrenal Medulla
  • organism-icon Mus musculus
  • sample-icon 768 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cells producing adrenalin are largely derived from nerve-associated Schwann cell precursors via an intermediate progenitor “bridge” cell. We demonstrate that large numbers of chromaffin cells arise from peripheral glial stem cells, termed Schwann cell precursors (SCPs) Overall design: SCPs migrate along the visceral motor nerve to the vicinity of the forming adrenal gland where they detach from the nerve and form post-synaptic neuroendocrine chromaffin cells. An intricate molecular logic drives two sequential phases of gene expression, one unique for a distinct transient cellular state and another for cell-type specification. Subsequently, these programs downregulate SCP- and upregulate chromaffin-cell-gene networks. The adrenal medulla forms through limited cell expansion and requires the recruitment of numerous SCPs. Thus, peripheral nerves serve as a stem cell niche for neuroendocrine system development.

Publication Title

RNA velocity of single cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP150534
Metabolic labeling of Hek293 cells using 4-thiouracil
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Hek293 cells were metabolically labelled using 4-thiouracil as described in (Schwalb et al, Science. 2016 Jun 3;352(6290):1225-8) but without fragmentation, and then bulk RNA was prepared for sequencing using the STRT method (Islam et al, Genome Res. 2011 Jul;21(7):1160-7). Samples were incubated in duplicate for 5, 15 and 30 minutes and included an unlabeled control representing the steady-state expression state. Overall design: 2 samples each of 4 incubation times, 2 cDNA preparations, 2 tagmentation replicates, and 2 biological replicates

Publication Title

RNA velocity of single cells.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP066613
RNA-seq analysis of single cells of the oligodendrocyte lineage from nine distinct regions of the anterior-posterior and dorsal-ventral axis of the mouse juvenile central nervous system
  • organism-icon Mus musculus
  • sample-icon 6282 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

5069 transcriptomes of single oligodendrocyte cells from spinal cord, substantia nigra-ventral tegmental area, striatum, amygdala, hypothalamic nuclei, zona incerta, hippocampus, and somatosensory cortex of male and female mice between post-natal day 21 and 90. The study aimed at identifying diverse populations of oligodendrocytes, and revealing dynamics of oligodendrocyte maturation. Overall design: 5069 individual cells were sampled from CNS regions of mice of various strains as detailed in the protocols section

Publication Title

Oligodendrocyte heterogeneity in the mouse juvenile and adult central nervous system.

Sample Metadata Fields

Sex, Cell line, Treatment, Subject

View Samples
accession-icon GSE26878
Digital gene and expression profiling of primary acute lymphoblastic leukemia (ALL) cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Digital gene expression profiling of primary acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE26865
Gene expression profiling of primary acute lymphoblastic leukemia (ALL) cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to benchmark digital gene expression (DGE) profiling by massively parallel sequencing against the most commonly used method for gene expression analysis. We compared the DGE levels to expression levels from Affymetrix arrays. Data from Affymetrix Human Genome U133 plus 2.0 GeneChips was available for 12 of the 21 RNA samples from ALL patient cells analyzed by DGE.

Publication Title

Digital gene expression profiling of primary acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE49032
Genome-wide signatures of differential DNA methylation and gene expression in pediatric ALL
  • organism-icon Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide signatures of differential DNA methylation in pediatric acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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)

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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