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SRX686088: GSM1486671: FBSLIF_Plate1_D7; Mus musculus; RNA-Seq
1 ILLUMINA (Illumina HiSeq 2000) run: 1.9M spots, 96.2M bases, 65.1Mb downloads

Submitted by: Gene Expression Omnibus (GEO)
Study: Deconstructing the dynamic transcriptional program of pluripotent stem cells.
show Abstracthide Abstract
Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates, but the regulatory circuits specifying these states and enabling transitions between them are not well understood. We set out to address this issue and map the landscape of gene expression variability in PSCs by single-cell expression profiling of PSCs under different chemical and genetic perturbations. We find that signaling factors and developmental regulators show highly variable expression in PSCs, with expression states for some variable genes heritable through multiple cell divisions. Expression variability and population heterogeneity can be influenced by perturbation of signaling pathways and chromatin regulators. Strikingly, either removal of mature miRNAs or pharmacologic blockage of external signaling pathways drives PSCs into a low-noise ground state characterized by a reconfigured pluripotency regulatory network, increased self-renewal efficiency, and a distinct chromatin state, an effect mediated by the action of opposing miRNA families on the c-myc / Lin28 / let-7 axis. These findings illuminate the causes of transcriptional heterogeneity in PSCs and their consequences for cellular decision-making. Overall design: Single-cell RNA-Seq on 183 individual v6.5 mouse embryonic stem cells (mESCs) cultured in serum+LIF media, 94 v6.5 mESCs cultured in 2i+LIF media (''ground state'' conditions), and 84 Dgcr8 -/- mESCs (constructed in a v6.5 background), that lack mature miRNAs due to knockout of a miRNA processing factor, cultured in serum+LIF. ChIP-Seq for RNA polymerase II, H3K4me3, H3K27me3, H3K27ac, H3K9me3, and H3K36me3 on the three populations of mESCs profiled by single-cell RNA-Seq. Single-cell RNA-Seq on 54 individual nestin-positive neural precursor cells derived from v6.5 mESCs.
Sample: FBSLIF_Plate1_D7
SAMN03008207 • SRS688908 • All experiments • All runs
Organism: Mus musculus
Library:
Instrument: Illumina HiSeq 2000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: mES or neural precursor cells were taken directly from culture, trypsinized, washed in PBS, spun down and resuspended at a concentration of 3 x 10^5 cell per mL of complete media, mixed 7:3 with C1 suspension reagent (Fluidigm), and loaded onto C1 Single-Cell Auto Prep chips (C1 chips; Fluidigm). After loading, each of the cell isolation chambers on the C1 chip was optically inspected for the presence of a cell. Subsequently, these cells were lysed and SMART-Seq whole transcriptome amplified (WTA) products were prepared with the C1 System using the SMARTer Ultra Low RNA Kit for Illumina Sequencing (Clontech) and protocols provided by Fluidigm (full details available at www.fluidigm.com). WTA products were harvested from the C1 chip, diluted to a concentration of 0.15 ng/μL, and cDNA libraries were prepared using Nextera XT DNA Sample preparation reagents (Illumina) as per the manufacturer’s recommendations, with minor modifications. Specifically, reactions were run at ¼ the recommended volume, the tagmentation step was extended to 10 minutes, and the extension time during the PCR step was increased from 30s to 60s. After the PCR step, all 96 samples were pooled without library normalization, cleaned twice with 0.9x AMPure XP SPRI beads (Beckman Coulter), and eluted in buffer TE. The pooled libraries were quantified using Quant-IT DNA High-Sensitivity Assay Kit (Invitrogen) and examined using a high-sensitivity DNA chip (Agilent). Finally, samples were sequenced deeply using either a HiSeq 2000 or a HiSeq 2500 sequencer (25 bp paired-end reads).
Experiment attributes:
GEO Accession: GSM1486671
Links:
External link:
Runs: 1 run, 1.9M spots, 96.2M bases, 65.1Mb
Run# of Spots# of BasesSizePublished
SRR15572981,924,52996.2M65.1Mb2014-12-04

ID:
960273

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