The transcription factor MyoD can coax na?e fibroblasts or otherwise committed cells to adopt the skeletal muscle phenotype by activating the muscle gene expression program. Activation of muscle gene expression occurs in quantal steps with not all the target genes of MyoD being activated at the same time. Some genes are induced in the initial phases, others at later stages despite the fact that MyoD is present throughout the differentiation process. MyoD is post-translationally modified by phosphorylation, ubiquitination, and acetylation. Here, we have employed a model system in which MyoD and its non-acetylatable version were inducibly expressed in mouse embryonic fibroblasts derived from mice to investigate how MyoD acetylation may contribute to differential gene activation.
MyoD acetylation influences temporal patterns of skeletal muscle gene expression.
No sample metadata fields
View SamplesWe performed a factorial experiment examining the effects of calorie restriction (CR) and exercise (EX) in mice. CR mice received 70% of calories but 100% of all other nutrients compared to AL mice. Food consumption, weight gain, and physical activity levels were recorded for 6 weeks.
Distinct effects of calorie restriction and exercise on mammary gland gene expression in C57BL/6 mice.
No sample metadata fields
View SamplesLong noncoding RNAs (lncRNAs) have emerged as key players in different cellular processes and are required for diverse functions in vivo. However, fundamental aspects of lncRNA biology remain poorly characterized, including their subcellular localization, abundance and variation at a single cell resolution. Here, we used single molecule, single-cell RNA fluorescence in situ hybridization (RNA FISH) to survey 61 lncRNAs, chosen by properties such as conservation, tissue specific expression, and expression abundance, and to catalog their abundance and cellular localization patterns in three human cell types. Our lncRNAs displayed diverse sub-cellular localization patterns ranging from strictly nuclear localization to almost exclusive cytoplasmic localization, with the majority localized primarily in the nucleus. The low abundance of these lncRNAs as measured in bulk cell populations cannot be explained by high expression in a small subset of ''jackpot'' cells. Simultaneous analysis of lncRNAs and mRNAs from corresponding divergently transcribed loci showed that divergent lncRNAs do not present a distinct localization pattern and are not always co-regulated with their neighbor. Overall, our study highlights important differences and similarities between lncRNAs and mRNAs. The rich set of localization patterns we observe are consistent with a broad range of potential functions for lncRNA, and assists in hypothesis generation for mechanistic studies. Here we provide the RNA-Seq expression matrix, as well as RNA-Seq raw data, which we used for comparison with RNA FISH molecule counts. Overall design: We estimate FPKM of coding genes and lncRNAs across HeLa, human lung fibroblasts and human foreskin. This study includes data from human foreskin fibroblasts (hFF), human lung fibroblasts (hLF), and HeLa cells. An hFF sample (GSM1376178) and the hLF samples (GSM1376175-GSM1376177) were previously submitted and are available in GSE30554 as GSM759893 and GSM759890-GSM759892, respectively. The HeLa samples (GSM591670-GSM591671) were previously submitted and are available in GSE23316. The complete dataset representing: (1) the hFF Samples, including the re-analysis of the hFF Sample from GSE30554, (2) the re-analysis of the hLF Samples from GSE30554, and (3) the re-analysis of the HeLa Samples from GSE23316, is linked below as a supplementary file.
Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution.
No sample metadata fields
View SamplesWe performed single-cell and bulk transcriptome profiling in two different human cell lines. We performed single-cell RNA sequencing in live and fixed cells. Overall design: Single cell RNA sequencing of live and fixed cells, bulk RNA sequencing in two cell lines.
Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms.
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View SamplesGene expression profile comparison from fibroblasts of Huntington individuals and normal ones
Gene expression profile in fibroblasts of Huntington's disease patients and controls.
Sex, Age, Specimen part, Disease
View SamplesHuntington’s disease (HD) symptoms are driven to a large extent by dysfunction of the basal ganglia circuitry. HD patients exhibit reduced striatal phoshodiesterase 10 (PDE10) levels. Using HD mouse models that exhibit reduced PDE10, we demonstrate the benefit of pharmacologic PDE10 inhibition to acutely correct basal ganglia circuitry deficits. PDE10 inhibition restored corticostriatal input and boosted cortically driven indirect pathway activity. Cyclic nucleotide signaling is impaired in HD models and PDE10 loss may represent a homeostatic adaptation to maintain signaling. Elevation of both cAMP and cGMP by PDE10 inhibition were required for rescue. Phosphoproteomic profiling of striatum in response to PDE10 inhibition highlighted plausible neural substrates responsible for the improvement. Early chronic PDE10 inhibition in Q175 mice showed improvements beyond those seen with acute administration after symptom onset, including partial reversal of striatal deregulated transcripts and the prevention of the emergence of HD neurophysiological deficits. Overall design: Transcriptional profiling of cortex and striatal tissue following chronic dosing of either vehicle or the PDE10A inhibitor PF-02545920 (0.32, 1 and 3.2 mg/kg po qd) in the Q175 homozygous knock-in mouse model of Huntington’s disease (dosing from 5-weeks to 9 months of age).
Phosphodiesterase 10A Inhibition Improves Cortico-Basal Ganglia Function in Huntington's Disease Models.
Sex, Age, Specimen part, Cell line, Treatment, Subject
View SamplesCLP1 controls the expression of Aire-sensitive genes with proximal pAs and their shortening in HEK293 cells
Aire-dependent genes undergo Clp1-mediated 3'UTR shortening associated with higher transcript stability in the thymus.
Cell line
View SamplesKAP1 (TRIM28) is a transcriptional regulator in embryonic development that controls stem cell self-renewal, chromatin organization and the DNA damage response, acting as an essential co-repressor for KRAB family zinc finger proteins (KRAB-ZNF). To gain insight into the function of this large gene family, we developed an antibody that recognizes the conserved zinc fingers linker region (ZnFL) in multiple KRAB-ZNF. Here we report that the expression of many KRAB-ZNF along with active SUMOlyated KAP1 is elevated widely in human breast cancers. KAP1 silencing in breast cancer cells reduced proliferation and inhibited the growth and metastasis of tumor xenografts. Conversely, KAP1 overexpression stimulated cell proliferation and tumor growth. In cells where KAP1 was silenced, we identified multiple downregulated genes linked to tumor progression and metastasis, including EREG/epiregulin, PTGS2/COX2, MMP1, MMP2 and CD44, along with downregulation of multiple KRAB-ZNF proteins. KAP1-dependent stabilization of KRAB-ZNF required direct interactions with KAP1. Together, our results show that KAP1-mediated stimulation of multiple KRAB-ZNF contributes to the growth and metastasis of breast cancer.
KAP1 promotes proliferation and metastatic progression of breast cancer cells.
Cell line
View SamplesMicroRNA microarrays and RNA expression arrays were used to identify functional signaling between neural stem cell progenitor cells (NSPC) and brain endothelial cells (EC) that are critical during embryonic development and tissue repair following brain injury.
The role of microRNAs in neural stem cell-supported endothelial morphogenesis.
Specimen part, Disease, Treatment
View SamplesWe sequenced mRNA from HCT116 p21-/- cells treated with Nutlin-3a, doxorubicin, or DMSO for 24 h. Overall design: Examination of mRNA levels from HCT116 p21-/- cells treated with Nutlin-3a, doxorubicin, or DMSO for 24 h using four replicates each.
Integration of TP53, DREAM, MMB-FOXM1 and RB-E2F target gene analyses identifies cell cycle gene regulatory networks.
No sample metadata fields
View Samples