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SRP045663
Homo sapiens
18 Downloadable Samples
IlluminaHiSeq2000
Description
RNAPII pausing/termination shortly after initiation is a hallmark of gene regulation. However, the molecular mechanisms involved are still to be uncovered. Here, we show that NELF interacts with Integrator complex subunits (INTScom) forming a stable complex with RNPII and Spt5. The interaction between NELF and INTScom subunits is RNA and DNA independent. Using both HIV-1 promoter and genome wide analyses, we demonstrate that Integrator subunits specifically control NELF-mediated RNAPII pause/release at coding genes. The strength of RNAPII pausing is determined by the nature of the NELF-associated complex. Interestingly, in addition to controlling RNAPII pause release INTS11 catalytic subunit of the INTScom is required for the synthesis of full length mRNA. Finally, INTScom-target genes are enriched in HIV-1 TAR/ NELF-binding element and in a 3'box sequence required for snRNA biogenesis. Revealing these unexpected functions of INTScom in regulating RNAPII pausing/release and completion of mRNA synthesis of NELF-target genes will contribute to our understanding of the gene expression cycle. Overall design: Genome-wide expression in HeLa cells in the absence of Integrator 11, or NELF or mock (control) depleted by strand-specific RNASeq (Illumina)
Publication Title
Integrator complex regulates NELF-mediated RNA polymerase II pause/release and processivity at coding genes.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 543 Downloadable Samples
- Illumina HiSeq 2000
Description
Single cell sequencing of microglia and perivascular macrophages was performed on brain tissue from different brain regions to obtain single cell expression profiles dependent on celltype and regional location. Overall design: 425 cells from mouse (CD-1) brains at different postnatal ages as well as embryonic day E11.5-E18.5.
Publication Title
Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 31 Downloadable Samples
- Illumina HiSeq 3000
Description
Microglia play critical roles in neural development and homeostasis. They are also implicated in neurodegenerative and neuroinflammatory diseases of the central nervous system (CNS). However, little is known about the presence of spatially and temporally restricted subclasses of microglia during CNS development and disease. Here, we combined massively parallel single-cell analysis, single-molecule FISH, advanced immunohistochemistry and computational modelling to comprehensively characterize novel microglia subclasses, which were transcriptionally different from perivascular macrophages, in up to six different CNS regions during development and diseases. Single-cell analysis revealed specific time- and region-dependent microglia subtypes during homeostasis. In contrast, demyelinating and neurodegenerative diseases evoked context-dependent microglia subtypes with distinct molecular hallmarks and diverse cellular kinetics. Finally, diverse microglia subsets were also identified in normal and diseased human brains. Our data provide new insights into the CNS endogenous immune system during development, health and perturbations. Overall design: CD45+ cells isolated from healthy and MS-affected human brains were FACS-sorted in 384-well plates and used for scRNAseq. The patients were aged between 22 and 25 years. Data comprises 5 healthy and 5 MS patients. CEL-Seq2 protocol was used for single cell sequencing (Hashimshony et al. 2016).
Publication Title
Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
Affymetrix Human Genome U219 Array (hgu219)
Description
To determine if there are differences in the gene expression profile of peripheral blood mononuclear cells in patients with Acute Myeloid Leukemia (AML) or Myelodysplastic Syndrome (MDS) who responded to CPI-613 when compared to those patients who did not respond we generated gene expression profiles from four responding patients and compared them to four non-responders. None of the gene expression profiles have been previously published. Here we describe the origins and provide associated clinical annotations with the hope that other investigators will be able to utilize this data in their own research.
Publication Title
A phase I study of the first-in-class antimitochondrial metabolism agent, CPI-613, in patients with advanced hematologic malignancies.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples- Rattus norvegicus
- 30 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Analysis of the effects of three members of the FGF family (FGF1, FGF2 and FGF9) and bone morphogenic protein 4 (BMP4) on myelinating cultures generated from dissociated embryonic spinal cord. The results of both immediate (24 hours, T1 (24 hrs)) and long term treatments (10days, T2) give insights into the cumulative effects of sustained FGF and BMP mediated signal transduction in the pathogenesis of demyelinating diseases.
Publication Title
Fibroblast growth factor signalling in multiple sclerosis: inhibition of myelination and induction of pro-inflammatory environment by FGF9.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Rattus norvegicus
- 8 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Failure of remyelination in multiple sclerosis (MS) is associated with inhibition of oligodendrocyte precursor (OPC) differentiation, but the cellular and molecular mechanisms involved remain poorly understood. We now report inflammatory demyelination in MS is associated with localized expression of fibroblast growth factor 9 (FGF9) by oligodendrocytes and to a lesser extent astrocytes, and demonstrate FGF9 inhibits myelination and remyelination in vitro. This inhibitory activity is reversible and due to an off target FGF9-dependent effect on astrocytes that disrupts in the growth factor milieu required to support myelination.
Publication Title
Fibroblast growth factor signalling in multiple sclerosis: inhibition of myelination and induction of pro-inflammatory environment by FGF9.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Mus musculus
- 19 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Messenger RNA levels in eukaryotes are balanced by two consecutive regulatory layers. Primary, transcriptional regulation at the level of chromatin and secondary, post-transcriptional regulation of the initial transcript in the cytoplasm. Each layer is individually studied in mechanistic detail, while integration of both processes is required to quantify the individual contribution to steady-state RNA levels. Here we show that chromatin features are sufficient to model transcription rate but with different sensitivities in dividing versus post mitotic cells. In both cases chromatin derived transcript levels explains over 80% of variance in measured RNA level enabling to separate transcription from different post-transcriptional processes. By further inclusion of measurements of mRNA half-life and micro RNA expression data we identify a low quantitative contribution of RNA decay by either micro RNA or general differential turnover to final mRNA levels. Together this establishes a chromatin based quantitative model for the contribution of transcriptional and posttranscriptional processes to steady-state levels of messenger RNA.
Publication Title
Chromatin measurements reveal contributions of synthesis and decay to steady-state mRNA levels.
Sample Metadata Fields
Specimen part, Disease, Treatment, Time
View Samples- Mus musculus
- 41 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The development of complex tissues requires that mitotic progenitor cells integrate information from the environment. The highly varied outcomes of such integration processes undoubtedly depend at least in part upon variations among the gene expression programs of individual progenitor cells. To date, there has not been a comprehensive examination of these differences among progenitor cells of a particular tissue. Here, we used comprehensive gene expression profiling to define these differences among individual progenitor cells of the vertebrate retina. Retinal progenitor cells (RPCs) have been shown by lineage analysis to be multipotent throughout development and to produce distinct types of daughter cells in a temporal, conserved order. A total of 42 single RPCs were profiled on Affymetrix arrays. An extensive amount of heterogeneity in gene expression among RPCs, even among cells isolated from the same developmental time point, was observed. While many classes of genes displayed heterogeneity of gene expression, the expression of transcription factors constituted a significant amount of the observed heterogeneity. Additionally, the expression of cell cycle related transcripts showed differences among those associated with G2 and M, versus G1 and S phase, suggesting different levels of regulation for these genes. These data provide insights into the types of processes and genes that are fundamental to cell fate choices, proliferation decisions, and, for cells of the central nervous system, the underpinnings of the formation of complex circuitry.
Publication Title
Individual retinal progenitor cells display extensive heterogeneity of gene expression.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 28 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Retinitis Pigmentosa (RP) is a progressive retinal degeneration in which the retina loses nearly all of its photoreceptor cells and undergoes major structural changes. Little is known regarding the role the resident glia, the Mller glia, play in the progression of the disease. Here we define gene expression changes in Mller glial cells (MGCs) from two different mouse models of RP, the retinal degeneration 1 (rd1) and rhodopsin knock-out (Rhod-ko) models. The RNA repertoire of 28 single MGCs was comprehensively profiled, and a comparison was made between MGC from wild type (WT) and mutant retinas. Two time points were chosen for analysis, one at the peak of rod photoreceptor death and one during the period of cone photoreceptor death. MGCs have been shown to respond to retinal degeneration by undergoing gliosis, a process marked by the upregulation of GFAP. In this data, many additional transcripts were found to change. These can be placed into functional clusters, such as retinal remodeling, stress response, and immune related response. It is noteworthy that a high degree of heterogeneity among the individual cells was observed, possibly due to their different spatial proximities to dying cells, and/or inherent heterogeneity among MGCs.
Publication Title
Gene expression changes within Müller glial cells in retinitis pigmentosa.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 25 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The vertebrate retina uses diverse neuronal cell types arrayed into complex neural circuits to extract, process and relay information from the visual scene to the higher order processing centers of the brain. Amacrine cells, a diverse class of inhibitory interneurons, are thought to mediate the majority of the processing of the visual signal that occurs within the retina. Despite morphological characterization, the number of known molecular markers of amacrine cell types is still much smaller than the 26 morphological types that have been identified. Furthermore, it is not known how this diversity arises during development. Here, we have combined in vivo genetic labeling and single cell genome-wide expression profiling to: 1) Identify specific molecular types of amacrine cells; 2) Demonstrate the molecular diversity of the amacrine cell class.
Publication Title
Development and diversification of retinal amacrine interneurons at single cell resolution.
Sample Metadata Fields
No sample metadata fields
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