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GSE20752
Mus musculus, Homo sapiens
26 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Comparative epigenomic analysis of murine and human adipogenesis.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Human abdominal adipose tissue was obtained with informed consent from a 33-year old Caucasian female (BMI = 32.96 Kg/m2) undergoing lipoaspiration. Adipose stromal cells (hASCs) were isolated and differentiated into adipocytes in vitro.
Publication Title
Comparative epigenomic analysis of murine and human adipogenesis.
Sample Metadata Fields
Sex, Specimen part
View Samples- Pseudomonas aeruginosa
- 15 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
Biofilm formation and type III secretion have been shown to be reciprocally regulated in P. aeruginosa, and it has been suggested that factors related to acute infection may be incompatible
Publication Title
Biofilms and type III secretion are not mutually exclusive in Pseudomonas aeruginosa.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
gene expression data from mouse adipocyte, with and without Ebf1 knock-down
Publication Title
Early B-cell factor-1 (EBF1) is a key regulator of metabolic and inflammatory signaling pathways in mature adipocytes.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 8 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
3T3-L1 pre-adipocyte cells were grown to confluence and induced to differentiate in adipogeneic media.
Publication Title
Comparative epigenomic analysis of murine and human adipogenesis.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 38 Downloadable Samples
Illumina HiSeq 2000
Description
Gene expression heterogeneity in the pluripotent state of mouse embryonic stem cells (mESCs) has been increasingly well-characterized. In contrast, exit from pluripotency and lineage commitment have not been studied systematically at the single-cell level. Here we measured the gene expression dynamics of retinoic acid driven mESC differentiation using an unbiased single-cell transcriptomics approach. We found that the exit from pluripotency marks the start of a lineage bifurcation as well as a transient phase of susceptibility to lineage specifying signals. Our study revealed several transcriptional signatures of this phase, including a sharp increase of gene expression variability and a handover between two classes of transcription factors. In summary, we provide a comprehensive analysis of lineage commitment at the single cell level, a potential stepping stone to improved lineage control through timing of differentiation cues. Overall design: Bulk and single-cell RNA-seq (SCRB-seq and SMART-seq) of mouse embryonic stem cells after different periods of continuous exposure to retinoic acid. Bulk RNA-seq of cell lines derived after retinoic exposure and after differentiation with retinoic acid and MEK inhibitor combined.
Publication Title
Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 383 Downloadable Samples
- NextSeq 500
Description
Two 96-well plates per genotype wild type and Myd88 knockout, 4 hour time series in 0.5 hr increments Overall design: Myd88 BMDM transcriptional profiling to complement TF-seq data
Publication Title
Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Treatment, Subject, Time
View Samples- Mus musculus
- 120 Downloadable Samples
- NextSeq 500
Description
Bone marrow derived macrophages treated with small molecules and stimulated with LPS Overall design: Wild-type BMDMs pretreated with small molecules for 30 minutes prior to stimulation with LPS
Publication Title
Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Treatment, Subject, Time
View Samples- Mus musculus
- 96 Downloadable Samples
- NextSeq 500
Description
Bone marrow derived macrophages treated with small molecules and stimulated with LPS Overall design: Wild-type BMDMs pretreated with small molecules for 30 minutes prior to stimulation with LPS
Publication Title
Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 384 Downloadable Samples
- IlluminaHiSeq2500, IlluminaHiSeq2000
Description
Single-cell expression profiling by RNA-Seq promises to exploit cell-to-cell variation in gene expression to reveal regulatory circuitry governing cell differentiation and other biological processes. Here, we describe Monocle, a novel unsupervised algorithm for ordering cells by progress through differentiation that dramatically increases temporal resolution of expression measurements. This reordering unmasks switch-like changes in expression of key regulatory factors, reveals sequentially organized waves of gene regulation, and exposes regulators of cell differentiation. A functional screen confirms that a number of these regulators dramatically alter the efficiency of myoblast differentiation, demonstrating that single-cell expression analysis with Monocle can uncover new regulators even in well-studied systems. Overall design: We selected primary human myoblasts as a model system of cell differentiation to investigate whether ordering cells by progress revealed new regulators of the process. We sequenced RNA-Seq libraries from each of several hundred cells taken over a time-course of serum-induced differentiation. Please note that this dataset is a single-cell RNA-Seq data set, and each cell comes from a capture plate. Thus, each well of the plate was scored and flagged with several QC criteria prior to library construction, which are provided as sample characteristics; CONTROL indicates that this library is a off-chip tube control library constructed from RNA of approximately 250 cells and ''DEBRIS'' indicates that the well contained visible debris (and may or may not include a cell). Libraries marked DEBRIS thus cannot be confirmed to come from a single cell.
Publication Title
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
Sample Metadata Fields
No sample metadata fields
View Samples