HP1γ/CBX3 Promotes Lung Adenocarcinoma by Activating Rho GTPases Signaling Pathway
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA727321 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We performed CBX3 knockdown in lung adenocarcinoma cells along with RNA sequencing. The expression profiling showed Rho GTPases signaling as a potential CBX3 target and the conclusions were also verified in clinical samples.
2021-05-05 | GSE173858 | GEO
Project description:We have used microarray technology to identify the transcriptional targets of Rho subfamily GTPases. This analysis indicated that murine fibroblasts transformed by these proteins show similar transcriptomal profiles. Functional annotation of the regulated genes indicate that Rho subfamily GTPases target a wide spectrum of biological functions, although loci encoding proteins linked to proliferation and DNA synthesis/transcription are up-regulated preferentially. Rho proteins promote four main networks of interacting proteins nucleated around E2F, c-Jun, c-Myc, and p53. Of those, E2F, c-Jun and c-Myc are essential for the maintenance of cell transformation. Inhibition of Rock, one of the main Rho GTPase targets, leads to small changes in the transcriptome of Rho-transformed cells. Rock inhibition decreases c-myc gene expression without affecting the E2F and c-Jun pathways. Loss-of-function studies demonstrate that c-Myc is important for the blockage of cell-contact inhibition rather than for promoting the proliferation of Rho-transformed cells. However, c-Myc overexpression does not bypass the inhibition of cell transformation induced by Rock blockage, indicating that c-Myc is essential, but not sufficient, for Rock-dependent transformation. These results reveal the complexity of the genetic program orchestrated by the Rho subfamily and pinpoint protein networks that mediate different aspects of the malignant phenotype of Rho-transformed cells Keywords: Rho/Rac GTPases, microarray, oncogenesis, proliferation, gene expression, transcription, Rock, c-Myc
2007-01-03 | GSE5913 | GEO
Project description:Cbx3 (HP1γ) that is a member of the heterochromatin protein 1 family play important roles in development and differentiation. To determine the regulatroy mechanisms of Cbx3 during neural differentiation from ESCs to NPCs, we performed RNA-seq analysis of ESCs or ESC-derived NPCs depleted for Cbx3 or Cbx3-assocatied Mediator subunit Med26.
2017-03-27 | GSE89574 | GEO
Project description:Cbx3 (HP1γ) that is a member of the heterochromatin protein 1 familiy enriched in gene bodies of pluripotent ESCs but promoters of differentiated pre-iPSCs. To determine whether Cbx3 becomes enriched at promoters to influence gene regulation during differentiation, we converted ESCs to NPCs in monolayer culuture and performed genomewide ChIP-seq of Cbx3. Our results shows that Cbx3 enriches at the promoters of genes upon differentiation of ESCs to NPCs and stablizes the binding of Mediator subunit Med26 to pre-initiation complex (PIC) in NPCs.
2017-03-27 | GSE89573 | GEO
Project description:This is a ordinary differential equation mathematical model describing the Rho GTPase cycle in which Rho GDP-dissociation inhibitors (RhoGDIs) inhibit the regulatory activities of guanine nucleotide exchange factors (GEFs) and GTPase-activating proteins (GAPs) by interacting with them directly as well as by sequestering the Rho GTPases. The model was constructed with the intent of analyzing the role of RhoGDIs in Rho GTPase signaling.
2019-12-17 | BIOMD0000000899 | BioModels
Project description:We have used microarray technology to identify the transcriptional targets of Rho subfamily GTPases. This analysis indicated that murine fibroblasts transformed by these proteins show similar transcriptomal profiles. Functional annotation of the regulated genes indicate that Rho subfamily GTPases target a wide spectrum of biological functions, although loci encoding proteins linked to proliferation and DNA synthesis/transcription are up-regulated preferentially. Rho proteins promote four main networks of interacting proteins nucleated around E2F, c-Jun, c-Myc, and p53. Of those, E2F, c-Jun and c-Myc are essential for the maintenance of cell transformation. Inhibition of Rock, one of the main Rho GTPase targets, leads to small changes in the transcriptome of Rho-transformed cells. Rock inhibition decreases c-myc gene expression without affecting the E2F and c-Jun pathways. Loss-of-function studies demonstrate that c-Myc is important for the blockage of cell-contact inhibition rather than for promoting the proliferation of Rho-transformed cells. However, c-Myc overexpression does not bypass the inhibition of cell transformation induced by Rock blockage, indicating that c-Myc is essential, but not sufficient, for Rock-dependent transformation. These results reveal the complexity of the genetic program orchestrated by the Rho subfamily and pinpoint protein networks that mediate different aspects of the malignant phenotype of Rho-transformed cells Experiment Overall Design: In order to generate the cell clones used in this study, we took advantage of the oncogenic properties of the constitutively active versions (Q63L mutants) of Rho subfamily proteins when overexpressed in rodent fibroblasts (Schuebel et al., 1998). Based on this property, we transfected NIH3T3 cells with plasmids encoding the indicated versions of Rho subfamily proteins to obtain foci of transformed cells. Selected foci were picked, pooled, and used for the subsequent microarray experiments. Experiment Overall Design: To avoid the activation of genetic programs related to serum withdrawal or contact inhibition that may confound the detection of Rho-specific transcriptomal changes (Coller et al., 2006), we cultured the chosen cell lines and the parental NIH3T3 cells in the presence of serum and maintained them at confluency levels lower than 70% prior to RNA extraction. In addition, we isolated total RNAs from eight (in the case of NIH3T3 cells), seven (in the case of RhoAQ63L-transformed cells) and six (in the case of RhoBQ63L- and RhoCQ63L-transformed cells) independent cell cultures in order to make it possible a robust statistical treatment of the data obtained. Experiment Overall Design: three 10-cm diameter plates containing exponentially growing cultures of IMB11-1P (expressing RhoAQ63L) IMB11-2P (expressing RhoBQ63L), or IMB11-3P (expressing RhoCQ63L) cells were washed with PBS and their total cellular RNAs isolated using the RNeasy kit (Qiagen) according to the supplierâs specifications. The quantity and quality of the total RNAs obtained was determined using 6000 Nano Chips (Agilent Technologies). Total RNA samples (4 ug) were then processed for hybridization on MGU75Av2 microarrays (Affymetrix) using standard Affymetrix protocols at the CIC Genomics and Proteomics Facility (www.cicancer.org). Normalization, filtering and analysis of the raw data obtained from the microarrays was carried out with the Bioconductor software (www.bioconductor.com) using de ReadAffy package and the RMA application. The RMA algorithm was selected over the standard Affymetrix software because it provides a better precision in signal detection to achieve adequate normalization of multiple microarray hybridizations, especially in cases of low levels of gene expression (Bolstad et al., 2004; Gautier et al., 2004; Gentleman et al., 2004; Parrish & Spencer, 2004). We considered a gene to be differentially expressed when exhibiting a signal ⥠100 and met the following criteria: in the case of the characterization of the transcriptome of Rho-transformed cells, we regarded a gene as common to all GTPases when: i) It showed a fold change ⥠1.5 in at least two of the cell lines used. ii) The fold change in the third cell line was ⥠1.0 and displayed a similar variation trend when compared to the other two cell lines (i.e., similar up-regulation or down-modulation in the three cell lines). iii) The fold change values in the three cell lines had always P values ⤠0.01. We regarded a gene as common to only two GTPases when: i) It showed a fold change ⥠1.5 in two the cell lines with P values ⤠0.01. ii) The fold change in the third cell line was non-existent or, alternatively, had P values ⥠0.01. We considered a gene as uniquely-regulated by a GTPase when: i) The fold change in the expression levels of is transcript in the cell line transformed by that GTPase was ⥠1.5 with P value ⤠0.01. ii) The fold change, if any, obtained in the other cell lines had P values ⥠0.01. Statistical analyses were performed using F-statistics.
2008-06-14 | E-GEOD-5913 | biostudies-arrayexpress
Project description:Cancer development is complicated, it invloves a series of gene expression change. As demonstrated in several reports, HP1γ is upregulated in some types of cancer, and it is essential for cancer development.We want to further clarify HP1γ function in bladder cancer. We used microarrays to determine the gene expression profile in bladder cancer cell line T24 with depletion of HP1γ.
2020-02-20 | GSE95400 | GEO
Project description:Nematode-trapping (NT) fungi can form unique infection structures (traps) to capture and kill free-living nematodes, thus play a potential role in the biocontrol of nematodes. Arthrobotrys oligospora is a representative species of the NT fungi. Here we performed dual RNA-seq to understand the interaction between A. oligospora and Caenorhabditis elegans. We identified 5752 unique differentially expressed genes during trap formation and predation, and the rac gene was significantly upregulated. Alternative splicing events occurred in 896 2012 genes, including the rac and rho2 gene. Further, we characterized three Rho GTPases (Rho2, Rac, and Cdc42) in A. oligospora using gene disruption and multi-phenotypic analysis. The analyses showed that AoRac and AoCdc42 play an important role in mycelium growth, lipid accumulation, DNA damage, sporulation, trap formation, pathogenicity, and stress response in A. oligospora. Furthermore, AoCdc42 and AoRac specifically interacted with components of the Nox complex, thus regulating the production of reactive oxygen species. Furthermore, the transcript levels of several genes associated with the protein kinase A, mitogen-activated protein kinase, and p21-activated kinase were also altered in the mutants, suggesting that Rho GTPases might function upstream of these kinases. This study highlights the important role of Rho GTPases in A. oligospora and provides insights into the regulatory mechanism of signaling pathways in trap morphogenesis and lifestyle transition of NT fungi.
2021-12-24 | GSE192443 | GEO
Project description:The possibility of specifying functional hematopoietic stem and progenitor cells (HSPCs) from human pluripotent stem cells (hPSCs) would overcome current limitations related to HSPC transplantation. However, generating hPSC-derived HSPCs has been elusive, necessitating a better understanding of the native developmental mechanisms that trigger HSPC specification. Here, we revealed in vivo an intrinsic inflammatory mechanism triggered by Nod1 that drives early hemogenic endothelium (HE) patterning to specify HSPCs. Our genetic and chemical experiments showed that HSPCs failed to specify in the absence of Nod1 and its downstream kinase Ripk2. Rescue experiments demonstrated that Nod1 and Ripk2 acted through NF-kB, and that small Rho GTPases are at the apex of this mechanism. Manipulation of NOD1 in a human system of hPSCs differentiation towards the definitive hematopoietic lineage indicated functional conservation. This work establishes the RAC1-NOD1-RIPK2-NFkB axis as the earliest inflammatory inductor that intrinsically primes the HE for proper HSPC specification. Manipulation of this pathway could help derive a competent HE amenable to specify functional patient specific HSPCs for the treatment of blood disorders. Keywords: NOD1, RIPK2, NF-kB, RAC1, Rho GTPases, Hematopoietic Stem and Progenitor Cell Specification, Hemogenic Endothelium.
2023-10-26 | GSE224708 | GEO
Project description:Describing the architecture of robust, nonlinear cell signaling networks is essential to gain a predictive understanding of cellular behavior. The structure of the Drosophila Rho-signaling network, comprised of Rho-family GTPases, RhoGTP Exchange Factors (RhoGEFs), and RhoGTPase Activating Proteins (RhoGAPs), has been particularly difficult to infer due to the highly overlapping function and substrate specificity of network components. We developed a parameterized modeling approach to predict connectivity amongst components of the Rho-signaling network that was driven by hundreds of mRNA expression profiles derived from RNAi-mediated inhibition or overexpression of component genes. Our model incorporated rate kinetics, transcriptional feedback, and noise. We biochemically validated several novel predicted connections, and used this model to predict Rho-signaling response to particular conditions. While functional redundancy is a feature of all signaling systems that often prevents classical genetic methods from elucidating relationships between components, the methods described here provide the basis for describing any complex network architecture. Keywords: Genetic modification, RNAi-mediated gene inhibition 129 samples analyzed. Experiments were peformed in batches of 4 containing 1 control/reference sample (transfection of GFP alone) that was prepared in parallel with experimental samples. There are 30 reference samples. The majority of experiments were replicated 2-6 times.
2012-12-31 | E-GEOD-18307 | biostudies-arrayexpress