Filters
Technology
Platform
GSE145460
Rattus norvegicus
18 Downloadable Samples
Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Studies have shown that vitamin D can enhance glucose-stimulated insulin secretion (GSIS) and change the expression of genes in pancreatic β-cells. Still the mechanisms linking vitamin D and GSIS are unknown.
Publication Title
Vitamin D metabolites influence expression of genes concerning cellular viability and function in insulin producing β-cells (INS1E).
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 62 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
In this study, we used the Affymetrix HG-U133A 2.0 GeneChip for deriving a multigenic classifier capable of predicting HCV+cirrhosis with vs without concomitant HCC.
Publication Title
Identifying genes for establishing a multigenic test for hepatocellular carcinoma surveillance in hepatitis C virus-positive cirrhotic patients.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Mus musculus
- 48 Downloadable Samples
IlluminaHiSeq1500
Description
During hematopoiesis, cells originating from the same stem cell reservoir differentiate into distinct cell types. The mechanisms enabling common progenitors to differentiate into distinct cell fates are not fully understood. Here, we identify chromatin-regulating and cell-fate-determining transcription factors (TF) governing dendritic cell (DC) development by annotating the enhancer and promoter landscapes of the DC lineage. Combining these analyses with detailed over-expression, knockdown and ChIP-Seq studies, we show that Irf8 functions as a plasmacytoid DC epigenetic and fate-determining TF, regulating massive, cell-specific chromatin changes in thousands of pDC enhancers. Importantly, Irf8 forms a negative feedback loop with Cebpb, a monocyte-derived DC epigenetic fate-determining TF. We show that using this circuit logic, differential activity of TF can stably define epigenetic and transcriptional states, regardless of the microenvironment. More broadly, our study proposes a general paradigm that allows closely related cells with a similar set of signal-dependent factors to generate differential and persistent enhancer landscapes. Overall design: Here analyzed 2 experiments, each one contains samples of moDC and pDC ex vivo cultured cells. The first experiment contains 32 samples of moDC and pDC following stimulation with various TLR stimulators. The second experiment contains 8 samples of moDC and pDC following perturbations; Cebpb and Irf8 knock down or over expression.
Publication Title
A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin States.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The basic helix-loop-helix (bHLH) transcription factor hairy and enhancer of split (Hes3) is a member of the Hes/Hey gene family that regulates developmental processes in progenitor cells from various tissues. We demonstrated the Hes3 expression in mouse pancreatic tissue, suggesting it may have a role in modulating beta-cell function. We employed a transfection approach to address specific functions of Hes3. Hes3 RNA interference opposed the growth of the mouse insulinoma cell line Min6. Western blotting and PCR approaches specifically showed that Hes3 RNA interference opposes the expression of Pdx1 and insulin. Likewise, Hes3 knock down reduced evoked insulin release from Min6 cells.
Publication Title
Hes3 is expressed in the adult pancreatic islet and regulates gene expression, cell growth, and insulin release.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 132 Downloadable Samples
- NextSeq 500
Description
T cell development and selection is orchestrated in the thymus by a specialized niche of diverse stromal populations. By transcriptional single cell sorting, we de novo characterize the entire stromal compartment of the thymus. We identified dozens of cell states within the thymic stroma, with thymic epithelial cells (TEC) showing the highest degree of heterogeneity. Our analysis highlights four major medullary TEC (mTEC I-IV) populations, with distinct molecular functions, epigenetic landscapes and lineage regulators. Specifically, mTEC-IV constitutes a new and highly divergent TEC lineage with molecular characteristics of the gut chemosensory epithelial tuft cells. Mice deficient of Pou2f3, a tuft cells master regulator, resulted in complete and specific depletion of mTEC-IV, without affecting other TEC populations. Overall, our study comprehensively defines all stroma cells in the thymus and identifies a new TEC lineage associated with chemosensory properties that may potentially link the adaptive immune system to environmental and neurological signals. Overall design: Transcriptional profiling of single cells from the stroma of mouse thymus, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500
Publication Title
Single-cell mapping of the thymic stroma identifies IL-25-producing tuft epithelial cells.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 2 Downloadable Samples
- NextSeq 500
Description
In multigravidae, a specific dNK cell population characterized by NKG2CBright expression is expanded, suggesting that this reflects a population of memory dNK generated during the first pregnancy. Purpose: To gain further insight into the transcriptome profile of the expanded memory NKG2CBright dNK population found only in multigravida decidua samples Overall design: Flow cytometry based dNK cell sorting (based on CD56 and NKG2C) was done in order to purify CD56PosCD3NegCD16NegNKG2CBright and CD56PosCD3NegCD16NegNKG2CNeg subsets.
Publication Title
Trained Memory of Human Uterine NK Cells Enhances Their Function in Subsequent Pregnancies.
Sample Metadata Fields
Specimen part, Subject
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
- 135 Downloadable Samples
- NextSeq 500
Description
Multiple myeloma (MM), a plasma cell (PC) malignancy, is the second most common blood cancer. Despite extensive research, disease heterogeneity within and between patients is poorly characterized, hampering efforts for early diagnosis and improved treatments. Here, we apply single cell RNA-seq to study the heterogeneity of 40 individuals along the MM progression spectrum. We define malignant PC at single cell resolution, demonstrating high inter-patient variability that can be explained by expression of known MM drivers and additional putative factors. Within newly diagnosed patients, we identify extensive sub-clonal structures for 10/29 patients. In asymptomatic patients with early disease and in minimal residual disease post-treatment, we detect tumor PC for a subset of the patients, with the same drivers of active myeloma. Single cell analysis of rare circulating tumor cells (CTC) allows detection of malignant PC, which reflect the BM disease. Our work establishes scRNA-seq for dissecting blood malignancies and devising detailed molecular characterization of tumor cells in symptomatic and asymptomatic patients. Overall design: The study includes 29 newly diagnosed patients with plasma cell neoplasms and 11 control donors, for which bone marrow plasma cells were single cell sorted by FACS, and their mRNA sequenced. For 11 patients, targeted genomic DNA panel analysis for myeloma was performed.
Publication Title
Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Mus musculus
- 32 Downloadable Samples
- Illumina HiSeq 4000
Description
The gene regulatory network in naïve mouse embryonic stem cells (ESCs) must be reconfigured for lineage competence. Tcf3 enables rewiring to formative pluripotency by repressing components of the ESC transcription factor circuitry. However, elimination of Tcf3 only delays, and does not prevent, state transition. Here we delineate distinct contributions of the Ets-family transcription factor Etv5 and the repressor Rbpj. Downstream of Erk1/2 signalling, Etv5 activates enhancers for formative pluripotency. Concomitant up-regulation of Rbpj ensures irreversible exit from the naïve state by extinguishing reversal factors, Nanog and Tbx3. Triple deletion of Etv5, Rbpj and Tcf3 incapacitates ESCs, such that they remain undifferentiated and locked in self-renewal even in the presence of differentiation stimuli. Thus, pluripotency progression is driven hierarchically by two repressors, that respectively dissolve and extinguish the naive network, and an initiator that commissions the formative network. Similar tripartite action may be a general mechanism for efficient cell transitions. Overall design: RNA-seq analysis of parental Rex1-GFPd2 ES cells (RGd2), and deletion mutants generated in this background (Etv5-KO, RbpJ-KO, Etv5-RpbJ-dKO, Etv5-RbpJ-Tcf3-tKO) cultured in 2i, N2B27 or supplemented with Chiron, 3 biological replicates per condition.
Publication Title
Complementary Activity of ETV5, RBPJ, and TCF3 Drives Formative Transition from Naive Pluripotency.
Sample Metadata Fields
Subject
View Samples- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Transcriptional microarray analysis was conducted on gastrocnemius muscle of control and PGC-1(i)skm-/- mice one week after the last tamoxifen administration using the Affymetrix Mouse Gene 1.0 ST.
Publication Title
The transcriptional coregulator PGC-1β controls mitochondrial function and anti-oxidant defence in skeletal muscles.
Sample Metadata Fields
Specimen part
View Samples