Ontology highlight
ABSTRACT:
PROVIDER: PRJNA132191 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE24877: Differential Gene Expression and Clonal Selection during Cellular Transformation Induced by Adhesion Deprivation (A16 vs NA16) GSE24878: Differential Gene Expression and Clonal Selection during Cellular Transformation Induced by Adhesion Deprivation (A16 vs COLONY) GSE24879: Differential Gene Expression and Clonal Selection during Cellular Transformation Induced by Adhesion Deprivation (A16 vs. Tumor) Refer to individual Series
2010-11-14 | E-GEOD-24893 | biostudies-arrayexpress
Project description:Differential Gene Expression and Clonal Selection during Cellular Transformation Induced by Adhesion Deprivation (A16 vs COLONY)
| PRJNA133419 | ENA
Project description:Differential Gene Expression and Clonal Selection during Cellular Transformation Induced by Adhesion Deprivation (A16 vs. Tumor)
| PRJNA133421 | ENA
Project description:Differential Gene Expression and Clonal Selection during Cellular Transformation Induced by Adhesion Deprivation (A16 vs NA16)
| PRJNA133417 | ENA
Project description:Transcriptomes and differential gene expression at the Arabidopsis shoot meristem during flowering
2017-06-15 | E-MTAB-5130 | ExpressionAtlas
Project description:It is elusive whether clonal selection of tumor cells in response to ionizing radiation (IR) is a deterministic or stochastic process. With high resolution clonal barcoding and tracking of over 400.000 HNSCC patient-derived tumor cells the clonal dynamics of tumor cells in response to IR was analysed. Fractionated IR induced a strong selective pressure for clonal reduction. This significantly exceeded uniform clonal survival probabilities indicative for a strong clone-to clone difference within tumor cells. Survival to IR is driven by a deterministic clonal selection of a smaller population which commonly survives radiation, while increased clonogenic capacity is a result of clonal competition of cells which have been selected stochastically. The ratio of these parameters is amenable to radiation sensitivity which correlates to prognostic biomarkers of HNSCC. Evidence for the existence of a rare subpopulation with an intrinsically radiation resistant phenotype was found at a frequency of 0.6-3.3%. With cellular barcoding we introduce a novel functional heterogeneity associated qualitative readout for evaluating the contribution of stochastic and deterministic clonal selection processes in response to IR.
2021-09-07 | E-MTAB-9693 | biostudies-arrayexpress
Project description:The germinal center response or reaction (GCR) is a hallmark event of adaptive humoral immunity. Unfolding in the B cell follicles of the secondary lymph organs, a GC culminates in the production of high-affinity antibody-secreting plasma cells along with memory B cells. By interacting with follicular dendritic cells (FDC) and T follicular helper (Tfh) cells, GC B cells exhibit complex spatiotemporal dynamics. Driving the B cell dynamics are the intracellular signal transduction and gene regulatory network that responds to cell surface signaling molecules, cytokines, and chemokines. As our knowledge of the GC continues to expand in depth and in scope, mathematical modeling has become an important tool to help disentangle the intricacy of the GCR and inform novel mechanistic and clinical insights. While the GC has been modeled at different granularities, a multiscale spatial simulation framework – integrating molecular, cellular, and tissue-level responses – is still rare. Here, we report our recent progress toward this end with a hybrid stochastic GC framework developed on the Cellular Potts Model-based CompuCell3D platform. Tellurium is used to simulate the B cell intracellular molecular network comprising NF-κB, FOXO1, MYC, AP4, CXCR4, and BLIMP1 that responds to B cell receptor (BCR) and CD40-mediated signaling. The molecular outputs of the network drive the spatiotemporal behaviors of B cells, including cyclic migration between the dark zone (DZ) and light zone (LZ) via chemotaxis; clonal proliferative bursts, somatic hypermutation, and DNA damage-induced apoptosis in the DZ; and positive selection, apoptosis via a death timer, and emergence of plasma cells in the LZ. Our simulations are able to recapitulate key molecular, cellular, and morphological GC events including B cell population growth, affinity maturation, and clonal dominance. This novel modeling framework provides an open-source, customizable, and multiscale virtual GC simulation platform that enables qualitative and quantitative in silico investigations of a range of mechanic and applied research questions on the adaptive humoral immune response in future.
2025-03-31 | MODEL2503310001 | BioModels
Project description:Significant differential expression genes from HUVECs induced by bg-CAT
2025-01-16 | E-GEOD-10479 | ExpressionAtlas
Project description:It is elusive whether clonal selection of tumor cells in response to ionizing radiation (IR) is a deterministic or stochastic process. With high resolution clonal barcoding and tracking of over 400.000 HNSCC patient-derived tumor cells the clonal dynamics of tumor cells in response to IR was analysed. Fractionated IR induced a strong selective pressure for clonal reduction. This significantly exceeded uniform clonal survival probabilities indicative for a strong clone-to clone difference. within tumor cells. Survival to IR is driven by a deterministic clonal selection of a smaller population which commonly survives radiation, while increased clonogenic capacity is a result of clonal competition of cells which have been selected stochastically. The ratio of these parameters is amenable to radiation sensitivity which correlates to prognostic biomarkers of HNSCC. Evidence for the existence of a rare subpopulation with an intrinsically radiation resistant phenotype was found at a frequency of 0.6-3.3%. With cellular barcoding we introduce a novel functional heterogeneity associated qualitative readout for evaluating the contribution of stochastic and deterministic clonal selection processes in response to IR. To analyze transcriptomic changes of HNSCC cell lines after fractionated Photon IR (5x4Gy), RNAseq analysis was performed on irradiated cells in comparison to untreated control cells (EBI submission E-MTAB-9693)
2021-08-31 | E-MTAB-10685 | biostudies-arrayexpress
Project description:Differential gene expression in liver tissues of streptozotocin-induced diabetic rats in response to resveratrol treatment
2015-02-10 | E-MTAB-3293 | ExpressionAtlas