Lineage tracing of patient-derived glioblastoma cells to reconstruct plasticity
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ABSTRACT:
PROVIDER: PRJEB39224 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The aim of the experiment was to obtain a time series data set of barcoded glioblastoma cells to use as input for a mathematical model of glioblastoma state transition and growth, to reconstruct the structure of the transition network, the transition rates and individual growth rates of each state.
2021-07-07 | E-MTAB-9296 | biostudies-arrayexpress
Project description:Lineage tracing of patient-derived U3065MG glioblastoma cells to reconstruct plasticity
| PRJEB45940 | ENA
Project description:The aim of the experiment was to obtain a time series data set of barcoded glioblastoma cells to use as input for a mathematical model of glioblastoma state transition and growth, to reconstruct the structure of the transition network, the transition rates, and individual growth rates of each state.
2021-07-07 | E-MTAB-10615 | biostudies-arrayexpress
Project description:Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thus maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, we developed a lineage-tracing technology termed Barcode-decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree in a time-resolved manner whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. Herein we show that cell transcriptome states are both inherited and dynamically reshaped following constrained rules encoded within the cell lineage, leading to intra-clonal non-genetic diversity in basal growth conditions and while adjusting populational phenotypic output upon oncogene activation and throughout the process of reversible resistance to therapeutic cues.
2023-02-11 | GSE223492 | GEO
Project description:Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thus maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, we developed a lineage-tracing technology termed Barcode-decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree in a time-resolved manner whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. Herein we show that cell transcriptome states are both inherited and dynamically reshaped following constrained rules encoded within the cell lineage, leading to intra-clonal non-genetic diversity in basal growth conditions and while adjusting populational phenotypic output upon oncogene activation and throughout the process of reversible resistance to therapeutic cues.
2023-02-11 | GSE223491 | GEO
Project description:Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thus maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, we developed a lineage-tracing technology termed Barcode-decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree in a time-resolved manner whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. Herein we show that cell transcriptome states are both inherited and dynamically reshaped following constrained rules encoded within the cell lineage, leading to intra-clonal non-genetic diversity in basal growth conditions and while adjusting populational phenotypic output upon oncogene activation and throughout the process of reversible resistance to therapeutic cues.
2023-02-11 | GSE223488 | GEO
Project description:Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thus maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, we developed a lineage-tracing technology termed Barcode-decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree in a time-resolved manner whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. Herein we show that cell transcriptome states are both inherited and dynamically reshaped following constrained rules encoded within the cell lineage, leading to intra-clonal non-genetic diversity in basal growth conditions and while adjusting populational phenotypic output upon oncogene activation and throughout the process of reversible resistance to therapeutic cues.
2023-02-11 | GSE223484 | GEO
Project description:Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thus maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, we developed a lineage-tracing technology termed Barcode-decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree in a time-resolved manner whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. Herein we show that cell transcriptome states are both inherited and dynamically reshaped following constrained rules encoded within the cell lineage, leading to intra-clonal non-genetic diversity in basal growth conditions and while adjusting populational phenotypic output upon oncogene activation and throughout the process of reversible resistance to therapeutic cues.
2023-02-11 | GSE223489 | GEO
Project description:Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thus maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, we developed a lineage-tracing technology termed Barcode-decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree in a time-resolved manner whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. Herein we show that cell transcriptome states are both inherited and dynamically reshaped following constrained rules encoded within the cell lineage, leading to intra-clonal non-genetic diversity in basal growth conditions and while adjusting populational phenotypic output upon oncogene activation and throughout the process of reversible resistance to therapeutic cues.
2023-02-11 | GSE223490 | GEO
Project description:Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thus maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, we developed a lineage-tracing technology termed Barcode-decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree in a time-resolved manner whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. Herein we show that cell transcriptome states are both inherited and dynamically reshaped following constrained rules encoded within the cell lineage, leading to intra-clonal non-genetic diversity in basal growth conditions and while adjusting populational phenotypic output upon oncogene activation and throughout the process of reversible resistance to therapeutic cues.
2023-02-11 | GSE223494 | GEO