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accession-icon SRP025171
Microfluidic single-cell whole-transcriptome sequencing
  • organism-icon Mus musculus
  • sample-icon 102 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell whole-transcriptome analysis is a powerful tool for quantifying gene expression heterogeneity in populations of cells. Many techniques have, thus, been recently developed to perform transcriptome sequencing (RNA-Seq) on individual cells. To probe subtle biological variation between samples with limiting amounts of RNA, more precise and sensitive methods are still required. We adapted a previously developed strategy for single-cell RNA-Seq that has shown promise for superior sensitivity and implemented the chemistry in a microfluidic platform for single-cell whole transcriptome analysis. In this approach, single cells are captured and lysed in a microfluidic device, where mRNAs with poly(A) tails are reverse-transcribed into cDNA. Double-stranded cDNA is then collected and sequenced using a next-generation sequencing platform. We prepared 94 libraries consisting of single mouse embryonic cells and technical replicates of extracted RNA and thoroughly characterized the performance of this technology. Microfluidic implementation increased mRNA detection sensitivity as well as improved measurement precision compared with tube-based protocols. With 0.2M reads per cell, we were able to reconstruct a majority of the bulk transcriptome with 10 single cells. We also quantified variation between and within different types of mouse embryonic cells and found that enhanced measurement precision, detection sensitivity, and experimental throughput aided the distinction between biological variability and technical noise. With this work, we validated the advantages of an early approach to single-cell RNA-Seq and showed that the benefits of combining microfluidic technology with high-throughput sequencing will be valuable for large-scale efforts in single-cell transcriptome analysis. Overall design: We investigated gene expression in mouse embryonic cells using microfluidic-facilitated RNA-Seq to analyze 56 single mouse ES cell (mESC) transcriptomes and 6 single mouse embryonic fibroblast (MEF) transcriptomes. To quantitatively evaluate the sensitivity and precision of our technique, we also sequenced 23 libraries from extracted mESC RNA, representing three sets of technical replicates with varying starting amounts of material.

Publication Title

Microfluidic single-cell whole-transcriptome sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP074138
Human islets contain four distinct subtypes of ß cells
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

The transcriptomes of four subpopulations of beta cells isolated by FACS from five healthy human donors. Populations were defined using cell surface-labeling antibodies, avoiding the need for fixation. Overall design: There are 5 biological replicates of 4 different cell types. Each donor yielded all 4 subtypes.

Publication Title

Human islets contain four distinct subtypes of β cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon E-MEXP-1130
Transcription profiling time series of human epithelial cells during development
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The experiment was designed to generate a time series for epithelial model during development. Each time point had 3 replicates. The data set contained 5 time points over 10 days. They are day0, day3, day5,day7,day10.

Publication Title

Dynamic and physical clustering of gene expression during epidermal barrier formation in differentiating keratinocytes.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon SRP100980
Olfactory stem cell differentiation: horizontal basal cell (HBC) lineage
  • organism-icon Mus musculus
  • sample-icon 800 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The lineage of the horizontal basal cells (HBC) stem cells and other Sox2eGFP-positive cells from the olfactory epithelium were profiled by single-cell RNA-Seq to identify differentiated cells types, intermediate stages, transition states, and to infer the lineage trajectories. Overall design: Horizontal basal cell (HBC) stem cells from the olfactory epithelium that were either wild-type or mutant for the transcription factor Trp63/p63 were lineage traced, collected by FACS, and profiled by single-cell RNA-seq. Additionally, Sox2eGFP transgenic cells from the olfactory epithelium were combined with this data into one data set that was processed together. A minimum of two biological replicates were collected for each time-point/experimental condition. A total of 680 YFP-positive lineage traced cells plus 169 Sox2eGFP-positive cells were used in this analysis.

Publication Title

Deconstructing Olfactory Stem Cell Trajectories at Single-Cell Resolution.

Sample Metadata Fields

Subject

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accession-icon GSE26267
Comparison of hepatic gene expression between short-term calorie restricted wild-type and Dgat1 deficient middle-aged female mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Leanness is associated with increased lifespan and is linked to favorable metabolic conditions promoting life extension.

Publication Title

Deficiency of the lipid synthesis enzyme, DGAT1, extends longevity in mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE26624
DGAT enzymes are required for triacylglycerol synthesis and lipid droplets in adipocytes
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Murine embryonic fibroblasts were isolated from WT and DGAT1,DGAT2-KO (D1D2KO) animals. mRNA was isolated from cells untreated (UNDIFF) or treated (DIFF) according to standard differentiation protocol for adipocytes (Harris, C, et al. JLR 2011).

Publication Title

DGAT enzymes are required for triacylglycerol synthesis and lipid droplets in adipocytes.

Sample Metadata Fields

Specimen part

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accession-icon SRP151425
RNA-Seq of newly diagnosed patients in the PADIMAC study leads to a bortezomib/lenalidomide decision signature
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Improving outcomes in multiple myeloma will not only involve development of new therapies, but better use of existing treatments. We performed RNA sequencing (RNA-Seq) on samples from newly diagnosed patients enrolled into the phase II PADIMAC study. Using an empirical Bayes approach and synthetic annealing, we developed and trained a seven-gene signature to predict treatment outcome. We tested the signature on independent cohorts treated with bortezomib- and lenalidomide-based therapies. The signature was capable of distinguishing which patients would respond better to which regimen. In the CoMMpass dataset, patients who were treated correctly according to the signature had a better progression-free and overall survival than those who were not. Indeed, the outcome for these correctly treated patients was non-inferior to those treated with combined bortezomib, lenalidomide, and dexamethasone (VRD). PADIMAC: Bortezomib, Adriamycin and Dexamethasone (PAD) therapy for previously untreated patients with multiple myeloma: Impact of minimal residual disease (MRD) in patients with deferred ASCT (autologous stem cell transplant) Overall design: RNA-Seq data from 44 patients enrolled into the PADIMAC study who provided RNA with an RNA Integrity score of 6 or greater. Thirteen out of forty-four patients had at least a very good partial remission sustained for at least a year without progression and were labelled as "bortezomib-good".

Publication Title

RNA-seq of newly diagnosed patients in the PADIMAC study leads to a bortezomib/lenalidomide decision signature.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE110446
Expression data from stimulated NK cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In an effort to define unique and common signatures of NK cell activity that is non-detected at the protein level, we studied the entire transcriptome of NK cells.

Publication Title

Transcriptomic signatures of NK cells suggest impaired responsiveness in HIV-1 infection and increased activity post-vaccination.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP096580
MACROD2 haploinsufficiency promotes chromosome instability and growth of intestinal tumors
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-Seq data from intestinal tumors of ApcMin/+/Macrod2-/-,ApcMin/+/Macrod2-/+ and ApcMin/+/Macrod2+/+ mice (6 tumors per group) Overall design: Examine mRNA expression level changes between tumors by Macrod2 genotype

Publication Title

<i>MACROD2</i> Haploinsufficiency Impairs Catalytic Activity of PARP1 and Promotes Chromosome Instability and Growth of Intestinal Tumors.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE17347
Expression data of two human cancer cell lines cultivated in 2-dimensional (2D) vs. 3-dimensional (3D) cell culture
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

3D cultivation of cells lead to changes in morphology of the cells. This is likely to explain the higher radioresistance of cells growing in 3D compared to cells growing in 2D cell culture.

Publication Title

Genome-wide gene expression analysis in cancer cells reveals 3D growth to affect ECM and processes associated with cell adhesion but not DNA repair.

Sample Metadata Fields

Specimen part, Cell line

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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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