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Mus musculus
40 Downloadable Samples
IlluminaGenomeAnalyzerIIx
Description
Purpose: Foxp2 is the first and for now the only gene connected to speech and language in humans. Two aminoacid substitutions took place in this protein during recent human evolution, after our split from the last common ancestor with chimpanzees, and are most likely to have undergone positive selection in human lineage (Enard et al., 2002). Methods: Transgenic mice in which the wild-type (murine) version of Foxp2 was replaced with the one bearing two human-specific amino acid substitutions (i.e. "humanized" Foxp2) - Foxp2hum/hum, have been compared to their wild-type (WT) counterparts in terms of behavior, electrophysiology and striatal gene expression. The latter was analyzed through RNA-sequencing performed on pooled indexed libraries on three flow cells on Illumina GAIIx. The reads were mapped to mouse genome (mm9) by TopHat 1.4.1 and were counted using Bedtools. mRNA profiles were obtained with more than 20 million reads for every sample. Differential gene expression was analyzed with DESeq using multifactor model (Anders and Huber, 2010). Results: Wild-type and Foxp2hum/hum mice did not show any significant differences in expression at individual gene level, neither in dorsomedial nor in dorsolateral striatum. However, when genes were grouped into functional categories and analyzed accordingly, this revealed a significant downregulation of functional categories related to synaptic signalling and plasticity in dorsomedial striatum of Foxp2hum/hum mice. Overall design: RNA-sequencing was performed on dorsomedial and dorsolateral striatum of wild-type and Foxp2hum/hum mice, on three flow cells Illumina GAIIx. The libraries from each sample were indexed and pooled together.
Publication Title
Humanized Foxp2 accelerates learning by enhancing transitions from declarative to procedural performance.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 57 Downloadable Samples
- NextSeq 500
Description
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive type of blood cancer resulting from malignant transformation of T-cell precursors. Several oncogenes, including the 'T-cell leukemia homeobox 1' TLX1 (HOX11) transcription factor, have been identified as early driver events that cooperate with other genetic aberrations in leukemic transformation of progenitor T-cells. The TLX1 controlled transcriptome in T-ALL has been investigated extensively in the past in terms of protein-coding genes, but remains unexplored thus far at the level of long non-coding RNAs (lncRNAs), the latter renown as well-established versatile and key players implicated in various cancer hallmarks. In this study, we present the first extensive analysis of the TLX1 regulated transcriptome focusing on lncRNA expression patterns. We present an integrative analysis of polyA and total RNA sequencing of ALL-SIL lymphoblasts with perturbed TLX1 expression and a primary T-ALL patient cohort (including 5 TLX1+ and 12 TLX3+ cases). We expanded our initially presented dataset of TLX1 and H3K27ac ChIP data in ALL-SIL cells (Durinck et al., Leukemia, 2015) with H3K4me1, H3K4me3, and ATAC-seq data to accurately define (super-) enhancer marked lncRNAs and assigned potential functional annotations to candidate TLX1-controlled lncRNAs through an in silico guilt-by-association approach. Our study paves the way for further functional analysis of selected lncRNAs as potential novel therapeutic targets for a precision medicine approach in the context of T-ALL. Overall design: polyA+ RNA-seq data was generated for a primary T-ALL patient cohort
Publication Title
A comprehensive inventory of TLX1 controlled long non-coding RNAs in T-cell acute lymphoblastic leukemia through polyA+ and total RNA sequencing.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
- NextSeq 500
Description
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive type of blood cancer resulting from malignant transformation of T-cell precursors. Several oncogenes, including the 'T-cell leukemia homeobox 1' TLX1 (HOX11) transcription factor, have been identified as early driver events that cooperate with other genetic aberrations in leukemic transformation of progenitor T-cells. The TLX1 controlled transcriptome in T-ALL has been investigated extensively in the past in terms of protein-coding genes, but remains unexplored thus far at the level of long non-coding RNAs (lncRNAs), the latter renown as well-established versatile and key players implicated in various cancer hallmarks. In this study, we present the first extensive analysis of the TLX1 regulated transcriptome focusing on lncRNA expression patterns. We present an integrative analysis of polyA and total RNA sequencing of ALL-SIL lymphoblasts with perturbed TLX1 expression and a primary T-ALL patient cohort (including 5 TLX1+ and 12 TLX3+ cases). We expanded our initially presented dataset of TLX1 and H3K27ac ChIP data in ALL-SIL cells (Durinck et al., Leukemia, 2015) with H3K4me1, H3K4me3, and ATAC-seq data to accurately define (super-) enhancer marked lncRNAs and assigned potential functional annotations to candidate TLX1-controlled lncRNAs through an in silico guilt-by-association approach. Our study paves the way for further functional analysis of selected lncRNAs as potential novel therapeutic targets for a precision medicine approach in the context of T-ALL. Overall design: Total RNA-seq data was generated for the T-ALL cell line ALL-SIL upon TLX1 knockdown
Publication Title
A comprehensive inventory of TLX1 controlled long non-coding RNAs in T-cell acute lymphoblastic leukemia through polyA+ and total RNA sequencing.
Sample Metadata Fields
Cell line, Subject
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- 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- 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
- 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- 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
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SRP066728- Mus musculus
- 61 Downloadable Samples
- Illumina HiSeq 2500
Description
Mice of indicated ages and genotypes were perfused and their brains dissected and dissociated. Cells were fixed, immunolabeled and FACS sorted. RNA was extracted from neuron, astrocyte, and microglial cell populations. Typical RIN=4-5 for neurons, 6-8 for astrocytes, and 5-7 for microglia. Typical RNA yields ~100ng for neurons, ~20ng for microglia, and ~10ng for astrocytes. cDNA was generated from up to 25 ng of total RNA using Nugen’s RNA-Seq method for low-input RNA samples, Ovation RNA-Seq System V2 (NuGEN). (Per manufacturers instructions, total RNA was neither depleted of rRNA nor polyA-selected.) 1 µg of sheared cDNA was taken into further processing, starting at end repair step, using Illumina’s TruSeq RNA Sample Preparation Kit v2 (Illumina). The "SAMPLE_ID" sample characteristic is a sample identifier internal to Genentech. The ID of this project in Genentech''s ExpressionPlot database is PRJ0006149 Overall design: Astrocytes, microglia and neurons were sorted from 7- or 13-month old PS2APP or non-transgenic mice, 4 = n = 7 per group.
Publication Title
Untangling the brain's neuroinflammatory and neurodegenerative transcriptional responses.
Sample Metadata Fields
Age, Specimen part, Subject
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