CD34 positive hematopoietic stem cells were differentiated into erythroid lineage. Next generation sequencing (NGS) of 5hmC affinity pulldown and RNAseq were performed in four time point of different stages of erythroid differentiation. Overall design: 4 RNA-Seq Samples (d0, d3, d7 and d10); 4 affinity-pulldown (d0, d3, d7 and d10), and 4 input samples (d0, d3, d7 and d10).
Hydroxymethylation at gene regulatory regions directs stem/early progenitor cell commitment during erythropoiesis.
No sample metadata fields
View SamplesThe response of human neutrophils to the emerging pathogen Mycobacterium abscessus has not been described. However, M. abscessus infections are frequently associated with neutrophil-rich abscesses. To better understand the reponse of neutrophils to M. abscessus we performed gene expression analysis using Affymetrix HG-U133A Plus 2.0 microarrays. Human neutrophils from healthy donors were stimulated with isogenic rough and smooth morphotypes of M. abscessus. Staphylococcus aureus was used as a control. Gene expression was compared to neutrophils left unstimulated. Neutrophils from four individual donors were isolated on separate days and stimulated with freshly prepared bacteria. Neutrophils (stimulated and control) were left for 2 hours before total RNA was isolated, and biotinylated cRNA was prepared by standard methods. Analysis indicates that M. abscessus morphotypes induce a limited number of genes, when compared to S. aureus, which are enriched in genes for cytokines and chemokines, including neutrophil-specific chemokines. These data suggest that neutrophils have a limited response to M. abscessus, which may contribute to neutrophil-rich abscess formation.overall_design = Human neutrophils from healthy donors were exposed to rough Mab (ATCC 19977T), smooth Mab (ATCC 19977T) and S. aureus (CF clinical strain) for two hours; control cells were exposed to saline.
Mycobacterium abscessus induces a limited pattern of neutrophil activation that promotes pathogen survival.
Specimen part, Disease, Treatment
View SamplesAnalysis of chromatin architecture suggests that the 3D structure of the genome plays a major role in regulating gene expression, orchestrating the compartmentalization of chromatin and facilitating specific enhancer-promoter interactions. However, the mechanisms that control this structuring of the genome are not fully understood. We have addressed this issue by analyzing the role of CTCF, a major architectural factor in chromatin structure, in the embryonic heart. Loss of CTCF triggered an overall downregulation of the cardiac developmental program, suggesting that CTCF facilitates enhancer-promoter interactions in the developing heart. Detailed analysis of the IrxA gene cluster showed that CTCF loss leads to disruption of the heart-specific regulatory domain that surrounds Irx4, resulting in changes in expression of IrxA cluster genes and neighboring genes. In contrast to the critical role proposed for CTCF in organizing large-scale chromatin domains, our results show that CTCF preferentially mediates local regulatory interactions. Overall design: RNAseq of mouse embryonic E10.5 hearts in three conditions: 1) control (labeled as WT), 2) heterozygous (labeled as HET) and 3) homozygous (labeled as KO). Three replicates were performed for each condition, each consisting of a pool of 6 hearts. Tissue was mechanically disaggregated and RNA extracted with trizol and purified through columns.
CTCF counter-regulates cardiomyocyte development and maturation programs in the embryonic heart.
Specimen part, Cell line, Subject
View SamplesGene expression profiling was carried out on peripheral blood leukocytes from 14 healthy older adults. The primary research question is whether gene expression differs in individuals experiencing chronically high levels of social isolation (by UCLA Loneliness Scale) vs chronically low levels of social isolation.
Social regulation of gene expression in human leukocytes.
No sample metadata fields
View SamplesInsults to the cerebral cortex, such as trauma, ischemia or infections, may result in the development of epilepsy, one of the most common neurological disorders. Previous studies have suggested that perturbations in neurovascular integrity and breakdown of the blood-brain barrier (BBB) lead to neuronal hypersynchronization and epileptiform activity, but the underlying mechanisms are unknown. As with BBB opening, treatment with albumin or with TGF-1 results in the development of hypersynchronized epileptiform activity. Given the latent period before the appearance of epileptiform activity, we hypothesized the underlying mechanism is a transcriptional response which would be similar for BBB breakdown and exposure to albumin or TGF-1. In search of a common pathway and transcriptional activation pattern we performed a genome wide analysis. Genomic expression analyses demonstrated similar expression patterns for BBB opening, albumin and TGF-1 exposure. Most importantly, TGF- pathway blockers suppressed most albumin-induced transcriptional changes.
Astrocytic dysfunction in epileptogenesis: consequence of altered potassium and glutamate homeostasis?
Sex
View SamplesConcerted efforts over past decades have established a thorough understanding of the canonical somatic DNA methylation landscape as well as its systematic misregulation across most human cancers. However, the underlying mechanism that directs this genome-scale transformation remains elusive, with no clear model for its acquisition or understanding of its potential developmental utility. Here we present base pair resolution analysis of global remethylation from the hypomethylated state of the preimplantation embryo into the early epiblast and extraembryonic ectoderm. We show that these two states acquire highly divergent genomic distributions: while the proximal epiblast establishes a canonical CpG-density dependent pattern found in somatic cells, the extraembryonic epigenome becomes substantially more mosaic. Moreover, this alternate pattern includes specific de novo methylation of hundreds of CpG island promoter containing genes that function in early embryonic development and are orthologously methylated across an extensive cohort of human cancers. From these data, we propose a model where the evolutionary innovation of extraembryonic tissues in eutherian mammals required cooption of DNA methylation-based suppression as an alternate pathway to the embryonically utilized Polycomb group proteins, which otherwise coordinate germ layer formation in response to extraembryonic cues at the onset of gastrulation. Moreover, we establish that this decision is made deterministically downstream of the promiscuously utilized, and frequently oncogenic, FGF signaling pathway and utilizes a novel combination of epigenetic cofactors. Recruitment of this silencing mechanism to developmental genes during cancer therefore reflects the misappropriation of an innate regulatory pathway that may be spontaneously sampled as an alternate epigenetic landscape within somatic cells. Overall design: Comparison of gene expression patterns in Extraembryonic Ectoderm and cancer
Epigenetic restriction of extraembryonic lineages mirrors the somatic transition to cancer.
Treatment, Subject
View SamplesIslets are known to respond to changes in ambient glucose. To quantify the transcriptome-wide changes in ambient glucose, we compared transcriptome of islets exposed to low and high glucose. Overall design: Isolated islets from wild type male mice. Islets from adult males were pooled, cultured overnight in RPMI containing 11 mM glucose. The next day, all islets were starved in RPMI containing 2.8 mM glucose for 2 hours before stimulation with 2.8 mM glucose or 16.8 mM glucose for 12 hours. Islets were lysed in Trizol for RNA isolation and library construction.
The transcriptional landscape of mouse beta cells compared to human beta cells reveals notable species differences in long non-coding RNA and protein-coding gene expression.
No sample metadata fields
View SamplesSingle-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.
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
No sample metadata fields
View SamplesSchizophrenia is associated with alterations in working memory that reflect dysfunction of dorsolateral prefrontal cortex (DLPFC) circuitry. Working memory depends on the activity of excitatory pyramidal cells in DLPFC layer 3, and to a lesser extent in layer 5.
Distinctive transcriptome alterations of prefrontal pyramidal neurons in schizophrenia and schizoaffective disorder.
Specimen part
View SamplesRNA-Sequencing analysis of 18 papillary thyroid carcinoma biopsies and of 4 healthy donors'' thyroids. In this analysis we assessed differential gene expression and investigated the mutational landscape in this tumor type. Analysis of gene fusion was also performed, leading to the identification of a novel chimeric transcript, potential driver in tumor initiation. Overall design: Total RNA isolated from 18 papillary thyroid carcinoma biopsies and 4 healthy donors'' thyroids.
New somatic mutations and WNK1-B4GALNT3 gene fusion in papillary thyroid carcinoma.
No sample metadata fields
View Samples