A unique subset of glycolytic tumor propagating cells drives squamous cell carcinoma
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA612829 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11310900_1.fastq.gz | Fastqsanger.gz | |||
| SRR11310900_2.fastq.gz | Fastqsanger.gz | |||
| SRR11311000_1.fastq.gz | Fastqsanger.gz | |||
| SRR11311000_2.fastq.gz | Fastqsanger.gz | |||
| SRR11310901_1.fastq.gz | Fastqsanger.gz |
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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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facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
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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
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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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