The proneural NEUROG2 is essential for neuronal commitment, cell cycle exit and neuronal differentiation. Characterizing genes networks regulated downstream of NEUROG2 is therefore of prime importance. To identify NEUROG2 early response genes, we combined gain of function in the neural tube with a global detection of modified transcripts using microarrays. We included in our study a mutant form of NEUROG2 (NEUROG2AQ) that cannot bind DNA and cannot trigger neurogenesis. Using this approach, we identified 942 genes modified at the onset of NEUROG2 activation. The global analysis of functions regulated by NEUROG2 allowed unmasking its rapid impact on cell cycle control. We found that NEUROG2 specifically represses a subset of cyclins acting at the G1 and S phases of the cell cycle, thereby impeding S phase re-entry. This repression occurs before modification of p27kip1, indicating that the decision to leave the cell cycle precedes the activation of this Cyclin-dependant Kinase Inhibitor. Moreover, NEUROG2 down-regulates only one of the D-type cyclins, cyclinD1, and maintaining cyclinD1 blocks the ability of the proneural to trigger cell cycle exit, without altering its capacity to trigger neuronal differentiation. The fact that NEUROG2 represses a subset but not all cell cycle regulators indicates that cell cycle exit is not an indirect consequence of neuronal differentiation but is precisely controlled by NEUROG2. Altogether our findings indicate that NEUROG2, by specifically repressing G1 and S cyclins, allows committed neuronal precursors to perform their last mitosis but blocks their re-entry in the cell cycle, thus favouring cell cycle exit.
NEUROG2 drives cell cycle exit of neuronal precursors by specifically repressing a subset of cyclins acting at the G1 and S phases of the cell cycle.
Specimen part, Treatment
View SamplesFollowing the identification of a critical time window of Blood Brain Barrier formation in the mouse embryo, we aimed to identify genes important for barriergenesis. To this end, we isolated cortical and lung E13.5 endothelial cells and compared expression between the two populations.
Mfsd2a is critical for the formation and function of the blood-brain barrier.
Specimen part
View SamplesBackground: The vast majority of human genes (.70%) are alternatively spliced. Although alternative pre-mRNA processing is modified in multiple tumors, alternative hyper-splicing signatures specific to particular tumor types are still lacking. Here, we report the use of Affymetrix Human Exon Arrays to spot hyper-splicing events characteristic of myasthenia gravis (MG)-thymoma, thymic tumors which develop in patients with MG and discriminate them from colon cancer changes. Methodology/Principal Findings: We combined GO term to parent threshold-based and threshold-independent ad-hoc functional statistics with in-depth analysis of key modified transcripts to highlight various exon-specific changes. These denote alternative splicing in MG-thymoma tumors compared to healthy human thymus and to in-house and Affymetrix datasets from colon cancer and healthy tissues. By using both global and specific, term-to-parent Gene Ontology (GO) statistical comparisons, our functional integrative ad-hoc method allowed the detection of disease-relevant splicing events. Conclusions/Significance: Hyper-spliced transcripts spanned several categories, including the tumorogenic ERBB4 tyrosine kinase receptor and the connective tissue growth factor CTGF, as well as the immune function-related histocompatability gene HLA-DRB1 and interleukin (IL)19, two muscle-specific collagens and one myosin heavy chain gene; intriguingly, a putative new exon was discovered in the MG-involved acetylcholinesterase ACHE gene. Corresponding changes in spliceosome composition were indicated by co-decreases in the splicing factors ASF/SF2 and SC35. Parallel tumor-associated changes occurred in colon cancer as well, but the majority of the apparent hyper-splicing events were particular to MGthymoma and could be validated by Fluorescent In-Situ Hybridization (FISH), Reverse TranscriptionPolymerase Chain Reaction (RT-PCR) and mass spectrometry (MS) followed by peptide sequencing. Our findings demonstrate a particular alternative hyper-splicing signature for transcripts over-expressed in MG-thymoma, supporting the hypothesis that alternative hyper-splicing contributes to shaping the biological functions of these and other specialized tumors and opening new venues for the development of diagnosis and treatment approaches
Identifying alternative hyper-splicing signatures in MG-thymoma by exon arrays.
Sex
View SamplesSCL/TAL1, a tissue-specific transcription factor of the basic helix-loop-helix (bHLH) family, and c-Kit, a tyrosine kinase receptor, control hematopoietic stem cell survival and quiescence. Here we report that SCL and c-Kit signaling control a common gene expression signature, of which 19 genes are associated with apoptosis. In vivo, SCL levels are limiting for the clonal expansion of Kit+ multipotent and erythroid progenitors. In addition, increased SCL expression specifically enhances the sensitivity of multipotent and megakaryocyte/erythroid progenitors to Steel factor (KIT ligand), whilst a DNA binding mutant antagonizes KIT function and induces apoptosis in progenitors. We conclude that Scl operates downstream of Kit to support the survival of megakaryocyte/erythroid progenitors. Finally, higher SCL expression upregulates Kit in normal bone marrow cells and increases chimerism after bone marrow transplantation, indicating that Scl is also upstream of Kit. We conclude that Scl and Kit establish a positive feedback loop in multipotent and megakaryocyte/erythroid progenitors.
Genetic interaction between Kit and Scl.
Cell line, Treatment
View SamplesPurpose: Conducted expression profiling by RNA-seq as unbiased screen to identify genes that are altered in motor neurons of PbxMN? mice at e12.5 at brachial and thoracic levels of the spinal cord. Because loss of Pbx genes affects MN organization at all rostrocaudal levels, we focused on genes whose profiles were altered at both brachial and thoracic levels. Methods: We compared gene expression profiles in MNs isolated from control Hb9::GFP and PbxMN?; Hb9::GFP embryos at e12.5. MNs were purified by FACS, and RNA was extracted from 9 PbxMN?; Hb9::GFP and 9 control Hb9::GFP embryos at brachial and thoracic levels using the Arcturus Picopure RNA isolation kit. 10ng of RNA was pooled from 3 RNA samples of each genotype, and used to amplify 100ng of cDNA using Nugene''s Ovation RNA-Seq System V2 kit, 100ng of cDNA for each sample was used as in input to prepare 12 bar coded libraries using the Ovation Ultralow Library system. We then performed expression profiling by RNA-seq. The samples were mixed into two pools and run on two 50-nucleotide paired end read rapid run flow cell lanes with the Illumina HiSeq 2500 sequencer. Generating on average 74 and 101 million reads passing filter for brachial and thoracic samples respectively. Results: This analysis yielded 64 brachial and 124 thoracic genes that were differentially expressed with a stringent cutoff of padj.<0.05. Of these genes, we found 31 genes in common between the two, brachial and thoracic, levels of the spinal cord that may play a role in motor neuron columnar organization. Furthermore our expression profiling of control brachial and control thoracic MNs identified 61 genes with (padj.<0.05), that represent distinct molecular profiles of MNs generated at brachial and thoracic levels which may be used to further characterize MNs involved in forelimb and thoracic innervation. Conclusions: Our study represents a detailed transcriptional analysis of embryonic spinal motor neurons and revealed a number of novel motor neuron-specific genes that are under transcriptional regulation of Pbx genes. Overall design: Examination of embryonic spinal MN expression profiles at 2 different spinal cord levels, brachial and thoracic. From RNA collected from 9 pooled Control and 9 PbxMN? e12.5 Hb9::GFP FACS MNs.
Parallel Pbx-Dependent Pathways Govern the Coalescence and Fate of Motor Columns.
Specimen part, Cell line, Subject
View SamplesLiving organisms have to cope with multiple and combined fluctuations in their environment. According to their sessile mode of life, plants are even more subjected to such fluctuations impacting their physiology and development. In particular, nutrient availability is known to tune plant development through modulating hormonal signaling, and conversely, hormonal signals are key to control nutrient related signaling pathways (Krouk et al., 2011a). However, very few is known about molecular mechanisms leading to plant adaptation to such combined signals. Here we deployed an unprecedented combinatorial treatment matrix to reveal plant adaptation in response to nitrate (NO3-), ammonium (NH4+), auxin (IAA), cytokinins (CK) and abscisic acid (ABA) and their exhaustive binary combinations.
Combinatorial interaction network of transcriptomic and phenotypic responses to nitrogen and hormones in the Arabidopsis thaliana root.
Specimen part, Time
View SamplesTranscription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in nave CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing.
Transcription factor ELF4 controls the proliferation and homing of CD8+ T cells via the Krüppel-like factors KLF4 and KLF2.
Specimen part
View SamplesWe have previously isolated a murine erythroleukemia cell line refractive to re-enter a cell differentiation program as opposite to the progenitor cell line. We use RNA-seq to identify differentially expressed genes in both cell lines Overall design: Gene expression levels from MEL DS19 and MEL-R cell cultures were compared by next generation sequencing using standard RNA-seq protocols
Differential gene expression analysis by RNA-seq reveals the importance of actin cytoskeletal proteins in erythroleukemia cells.
Specimen part, Cell line, Subject
View SamplesAPC is a key regulator of canonical Wnt signalling since it participates to beta-catenin targeting to proteasomal degradation when the pathway is inactive. Moreover, independently of Wnt signaling, APC regulates several cellular functions such as mycrotubule dynamics, chromosome segregation, cell adhesion. Although APC has been widely studied for its implication in initation and progression of several cancers, its role in satellite cells (skeletal muscle stem cells) has never been investigated.
APC is required for muscle stem cell proliferation and skeletal muscle tissue repair.
Specimen part
View SamplesRenin, a key component in the regulation of blood pressure in mammals, is produced by the rare and highly specialized juxtaglomerular (JG) cells of the kidney. Although these cells line the media of the glomerular afferent arterioles and share some characteristics with contractile cells, they are filled with lysosome-like organelles where renin is activated and stored for regulated secretion in response to physiological and pathophysiological stimuli. Chronic stimulation of renin release results in a recruitment of new JG cells by the seeming conversion of adjacent smooth muscle cells along the afferent arterioles. Because JG cells rapidly de-differentiate when removed from the kidney, their developmental origin and the mechanism that explains their phenotypic plasticity remain largely unclear. In an effort to overcome this limitation, we have performed RNA expression analysis on four human renin-producing tumors. The most highly expressed genes that were common between the reninomas were subsequently used for in situ hybridization in mouse kidney. Our results add 40 new genes to the list that characterize renin-producing cells and reveal a significant variation in the expression patterns of developing, mature and recruited JG cells. Overall design: RNA-Seq was performed with a HiSeq 2000 on three biopsies of a first reninoma from Paris (Par1B1-B3), one biopsy from a reninoma from Montreal (Mon), two biopsies from a reninoma from Rotterdam (RotB1, B2), and a second reninoma from Paris (Par2) along with a biopsy from adjacent supposedly normal tissue from the same patient (Par2N).
Transcriptome Analysis of Human Reninomas as an Approach to Understanding Juxtaglomerular Cell Biology.
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