A unique subset of glycolytic tumor propagating cells drives squamous cell carcinoma
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA476584 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7358060_1.fastq.gz | Fastqsanger.gz | |||
| SRR7358060_2.fastq.gz | Fastqsanger.gz | |||
| SRR7358070_1.fastq.gz | Fastqsanger.gz | |||
| SRR7358070_2.fastq.gz | Fastqsanger.gz | |||
| SRR7358061_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 30 |
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Project description:A unique subset of glycolytic tumor propagating cells drives squamous cell carcinoma
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Project description:Head and Neck Squamous Cell Carcinoma (HNSCC) remains among the most aggressive human cancers. Tumor progression and aggressiveness in SCC are largely driven by Tumor Propagating Cells (TPCs). Aerobic glycolysis, also known as the Warburg Effect, represents a characteristic of many cancers, yet whether this adaptation is functionally important in SCC, and at which stage, remains poorly understood. Here, we show that the NAD+-dependent histone deacetylase Sirtuin 6 (SIRT6) is a robust tumor suppressor in SCC, acting as a modulator of glycolysis in these tumors. Remarkably, rather than a late adaptation, we find enhanced glycolysis specifically in TPCs. More importantly, using single cell RNA sequencing of TPCs, we identify a subset of TPCs with higher glycolysis and enhanced pentose phosphate pathway and glutathione metabolism, characteristics that are strongly associated with a better antioxidant response. Altogether, our studies uncover enhanced glycolysis as a main driver in SCC, and, more importantly, identify a subset of TPCs as the cell-of-origin for the Warburg effect, defining metabolism as a key feature of intra-tumor heterogeneity.
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Project description:Head and Neck Squamous Cell Carcinoma (HNSCC) remains among the most aggressive human cancers. Tumor progression and aggressiveness in SCC are largely driven by Tumor Propagating Cells (TPCs). Aerobic glycolysis, also known as the Warburg Effect, represents a characteristic of many cancers, yet whether this adaptation is functionally important in SCC, and at which stage, remains poorly understood. Here, we show that the NAD+-dependent histone deacetylase Sirtuin 6 (SIRT6) is a robust tumor suppressor in SCC, acting as a modulator of glycolysis in these tumors. Remarkably, rather than a late adaptation, we find enhanced glycolysis specifically in TPCs. More importantly, using single cell RNA sequencing of TPCs, we identify a subset of TPCs with higher glycolysis and enhanced pentose phosphate pathway and glutathione metabolism, characteristics that are strongly associated with a better antioxidant response. Altogether, our studies uncover enhanced glycolysis as a main driver in SCC, and, more importantly, identify a subset of TPCs as the cell-of-origin for the Warburg effect, defining metabolism as a key feature of intra-tumor heterogeneity.
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Project description:Head and neck squamous cell carcinoma (SCC) remains among the most aggressive human cancers. Tumour progression and aggressiveness in SCC are largely driven by tumour-propagating cells (TPCs). Aerobic glycolysis, also known as the Warburg effect, is a characteristic of many cancers; however, whether this adaptation is functionally important in SCC, and at which stage, remains poorly understood. Here, we show that the NAD+-dependent histone deacetylase sirtuin 6 is a robust tumour suppressor in SCC, acting as a modulator of glycolysis in these tumours. Remarkably, rather than a late adaptation, we find enhanced glycolysis specifically in TPCs. More importantly, using single-cell RNA sequencing of TPCs, we identify a subset of TPCs with higher glycolysis and enhanced pentose phosphate pathway and glutathione metabolism, characteristics that are strongly associated with a better antioxidant response. Together, our studies uncover enhanced glycolysis as a main driver in SCC, and, more importantly, identify a subset of TPCs as the cell of origin for the Warburg effect, defining metabolism as a key feature of intra-tumour heterogeneity.
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To cite BioModels Database, please use: BioModels Database: An enhanced,
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to CC0 Public Domain Dedication
for more information.
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Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
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generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110048
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
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To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.
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Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
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facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110058
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To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.
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