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GSE12648
Homo sapiens
20 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
HIBM is a neuromuscular disorder characterized by adult-onset, slowly progressive distal and proximal muscle weakness. Here, gene expression was measured in muscle specimens from 10 HIBM patients carrying the M712T Persian Jewish founder mutation in GNE and presenting with mild histological changes, and from 10 healthy matched control individuals.
Publication Title
Mitochondrial processes are impaired in hereditary inclusion body myopathy.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
2 types of dendritic cells (DCs) can be generated in vitro in the presence of Flt3-L: CD4+ equivalent CD24- DCs and CD8+ equivalent CD24+ DCs. miR-142-/- mice show a severe defect in the generation of CD4+ equivalent CD24- DCs. To understand the underlying mechanism, RNA expression was analyzed by Affymetrix microarray from the 2 in vitro subtypes of DCs derived from miR-142+/+ and miR-142-/- bone marrow cells.
Publication Title
Mononuclear phagocyte miRNome analysis identifies miR-142 as critical regulator of murine dendritic cell homeostasis.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 9 Downloadable Samples
Illumina Genome Analyzer IIx
Description
Dynamic binding of transcription factors to DNA elements specifies gene expression and cell fate, in both normal physiology and disease. To date, our understanding of mammalian gene regulation has been hampered by the difficulty of directly measuring in vivo binding of large numbers of transcription factors to DNA. Here, we develop a high-throughput indexed Chromatin ImmunoPrecipitation (iChIP) method coupled to massively parallel sequencing to systematically map protein-DNA interactions. We apply iChIP to reconstruct the physical regulatory landscape of a mammalian cell, by building genome-wide binding maps for 29 transcription factors (TFs) and chromatin marks at four time points following stimulation of primary dendritic cells (DCs) with pathogen components. Using over 180,000 TF-DNA interactions in these maps, we derive an initial dynamic physical model of a mammalian cell regulatory network. Our data demonstrates that transcription factors vary substantially in their binding dynamics, genomic localization, number of binding events, and degree of interaction with other factors. Further, many of the TF-DNA interactions at stimulus-activated genes are established during differentiation and maintained in a poised state. Functionally, the TFs are organized in a hierarchy of different types: Cell differentiation factors bind most of the genes and remain largely unchanged during the stimulation. A second set of TFs bind already in the un-stimulated and preferentially target induced genes. A third set consists of TF that bind mainly after the stimuli and target specific gene functions. Together these factors determine the magnitude and timing of stimulus induced gene expression. Our method, which allowed us to map routinely temporal binding profiles of dozens of TFs, provides a foundation for future understanding of the mammalian regulatory code. Overall design: A study of dynamic binding of transcription factors in an immune cell following pathogen stimulation
Publication Title
A high-throughput chromatin immunoprecipitation approach reveals principles of dynamic gene regulation in mammals.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 72 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disorder in industrialized countries. Liver samples from morbidly obese patients (N=45) with all stages of NAFLD and controls (N=18) were analysed by array-based DNA methylation and mRNA expression profiling. NAFLD-specific expression and methylation differences were seen for nine genes coding for key enzymes in intermediate metabolism (including PC, ACLY, PLCG1) and insulin/insulin-like signalling (including IGF1, IGFBP2, PRKCE) and replicated by bisulfite pyrosequening (independent N=39). Transcription factor binding sites at NAFLD-specific CpG sites were >1000-fold enriched for ZNF274, PGC1A and SREBP2. Intra-individual comparison of liver biopsies before and after bariatric surgery showed NAFLD-associated methylation changes to be partially reversible. Post-bariatric and NAFLD-specific methylation signatures were clearly distinct both in gene-ontology and transcription factor binding site analyses, with >400-fold enrichment of NRF1, HSF1 and ESRRA sites. Our findings provide one of the first examples of treatment-induced epigenetic organ remodelling in humans.
Publication Title
DNA methylation analysis in nonalcoholic fatty liver disease suggests distinct disease-specific and remodeling signatures after bariatric surgery.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 119 Downloadable Samples
- Illumina HiSeq 2500
Description
Messenger RNA is thought to predominantly reside in the cytoplasm, where it is translated and eventually degraded. Although nuclear retention of mRNA has a regulatory potential it is considered extremely rare in mammals. Here to explore the extent of mRNA retention in metabolic tissues we combine deep sequencing of nuclear and cytoplasmic RNA fractions with single molecule transcript imaging in mouse beta cells, liver and gut. We identify a wide range of protein coding genes for which the levels of spliced polyadenylated mRNA are higher in the nucleus than in the cytoplasm. These include genes such as the transcription factor ChREBP, Nlrp6, Glucokinase and Glucagon receptor. We demonstrate that nuclear retention of mRNA can efficiently buffer cytoplasmic transcript levels from noise that emanates from transcriptional bursts. Our study challenges the view that transcripts predominantly reside in the cytoplasm and reveals a role of the nucleus in dampening gene expression noise. Overall design: we have total of 8 samples all are mice. liver nuclear RNA (2 replicates), liver cytoplasmic RNA (2 replicates), MIN6 (cell line) nuclear RNA (2 replicates), MIN6 (cell line) cytoplasmic RNA (2 replicates)
Publication Title
Nuclear Retention of mRNA in Mammalian Tissues.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 179 Downloadable Samples
- NextSeq 500
Description
Lung development and function arises from the interactions between diverse cell types and lineages. Using single cell RNA-seq we characterize the cellular composition of the lung during development and identify vast dynamics in both the composition of cells and their molecular characteristics. Analyzing 818 ligand-receptor interaction pairs within and between cell lineages, we identify broadly interacting cells, including AT2, ILC and basophils. Using IL33-receptor knockout mice and in vitro experiments, we show that basophils establish a lung-specific function imprinted by IL-33 and GM-CSF, characterized by unique signaling of cytokines and growth factors important for stromal, epithelial and myeloid cell fates. Antibody depletion strategies, diphtheria toxin–mediated selective depletion of basophils, and co-culture studies, show that lung resident basophils are important regulators of alveolar macrophage development and function. Together, our study demonstrates how whole tissue cell interaction analysis on the single cell level can broaden our understanding of cellular networks in health and disease. Overall design: Transcriptional profiling of single cells from the different timepoints of lung development, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500 metadata.txt: Meta data file associating each single cell with its amplification batch and index sorting readouts
Publication Title
Lung Single-Cell Signaling Interaction Map Reveals Basophil Role in Macrophage Imprinting.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Mus musculus
- 89 Downloadable Samples
- NextSeq 500
Description
Alzheimer''s disease (AD) is a detrimental neurodegenerative disease with no effective treatments. Due to cellular heterogeneity, the roles of immune cell subsets in AD onset and progression are poorly understood. By transcriptional single cell sorting, we comprehensively map all immune populations in wild type and AD–transgenic (Tg-AD) mouse brains. We describe a novel microglia type associated with neurodegenerative diseases (DAM) and identify the markers, spatial-location, and pathways associated with these cells. Immunohistochemical staining of mice and human brain slices showed DAM with intracellular/phagocytic Aß particles. Single cell analysis of DAM in Tg-AD and Trem2-/- Tg-AD revealed that the DAM program is activated in a two-step process. Activation is initiated in a Trem2 independent manner which involves down-regulation of microglia checkpoints, followed by activation of a Trem2-dependent program. These data identify a unique microglia-type, which may have important implications for future treatment of AD and other neurodegenerative diseases. Overall design: Transcriptional profiling of single cells from immune populations of mouse models of neurodegenerative diseases with matched controls, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500
Publication Title
A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 40 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Gene signature determination of the effect of a new bromodomain inhibitor among a representative set of leukemic cell lines
Publication Title
BET inhibitor OTX015 targets BRD2 and BRD4 and decreases c-MYC in acute leukemia cells.
Sample Metadata Fields
Cell line, Compound
View Samples- Mus musculus
- 80 Downloadable Samples
- NextSeq 500
Description
The immune system generates pathogen-tailored responses. The precise innate immune cell types and pathways that direct robust adaptive immune responses have not been fully characterized. By using fluorescent pathogens combined with massively parallel single cell RNA-seq, we comprehensively characterized the initial 48 hours of the innate immune response to diverse pathogens. We found that across all pathogens tested, most of the lymph node cell types and states showed little pathogen-specificity. In contrast, the rare antigen-positive cells displayed pathogen-specific transcriptional programs as early as 24 hours after immunization. In addition, mycobacteria activated a specific NK driven IFN? response. Depletion of NK cells and IFN? showed that IFN? initiated a monocyte specific signaling cascade, leading to production of major chemokines and cytokines that promote Th1 development. Our systems immunology approach sheds light on early events in innate immune responses and may help further development of safe and efficient vaccines. Overall design: Transcriptional profiling of single cells from pathogen-injected mouse auricular lymph nodes, generated from deep sequencing of thousands of cells, sequenced in several batches on illumina Nextseq500. For all experiments, innate immune lymph node cells were sorted accordng to the markers indicated in Samples' Characteristics "selection marker" field into 384-well MARS-seq2.0 cell capture plates. Sorting of antigen-carrying cells (Ag+) was based on the AF488-fluorescence of the pathogens injected. Different pathogens and time points were used, as indicated in the Samples' Characteristics "infection" and "time points" fields.
Publication Title
Single-Cell Analysis of Diverse Pathogen Responses Defines a Molecular Roadmap for Generating Antigen-Specific Immunity.
Sample Metadata Fields
Specimen part, Cell line, Subject, Time
View Samples- Mus musculus
- 26 Downloadable Samples
- NextSeq 500
Description
The mammalian liver consists of hexagonal-shaped lobules, radially polarized by blood flow and morphogens. Key liver genes have been shown to be differentially expressed along the lobule axis, a phenomenon termed zonation, but a detailed genome-wide reconstruction of this spatial division of labor has not been achieved. Here we measure the whole transcriptome of thousands of single mouse liver cells and infer their lobule coordinates using a panel of zonated landmark genes, characterized with single-molecule FISH. We obtain a genome-wide reconstruction of liver zonation profiles with unprecedented spatial resolution. We find that more than 50% of liver genes are significantly zonated and uncover abundant non-monotonic profiles that peak at the mid-lobule layers. Our approach can facilitate reconstruction of similar spatial genomic blueprints for other mammalian organs. Overall design: mRNA profiles from single cells extracted from mouse liver were generated by deep sequencing of 1736 of single cells, sequenced in several batches in an Illumina NextSeq.
Publication Title
Single-cell spatial reconstruction reveals global division of labour in the mammalian liver.
Sample Metadata Fields
Cell line, Subject
View Samples