What question did this study set out to answer?

To investigate the epigenetic control of metabolic identity across various human cell types.

December 10, 2025BMC GenomicsOpen Access

Epigenetic control of metabolic identity across cell types

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Analysis of metabolic networks reveals key transcription factors in cellular metabolism, indicating roles in metabolic identity.

To investigate the epigenetic control of metabolic identity across various human cell types.
Used RNA-seq and epigenomic data from the EpiATLAS resource
Reconstructed metabolic networks for 1,555 samples across 58 tissues and cell types
Analyzed the distribution of metabolic functionalities and identified unique and core metabolism.
Defined reactions fulfilling core metabolic processes and unique metabolism in cell types
Identified transcription factors and enhancers associated with metabolic control
Demonstrated enrichment of pathways with high expression and active chromatin states in specific cell types.

Pacheco et al. (2025) studied this question.

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December 10, 2025BMC GenomicsOpen Access

View Full Paper

Ask AI

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Authors

Analysis of metabolic networks reveals key transcription factors in cellular metabolism, indicating roles in metabolic identity.

To investigate the epigenetic control of metabolic identity across various human cell types.
Used RNA-seq and epigenomic data from the EpiATLAS resource
Reconstructed metabolic networks for 1,555 samples across 58 tissues and cell types
Analyzed the distribution of metabolic functionalities and identified unique and core metabolism.
Defined reactions fulfilling core metabolic processes and unique metabolism in cell types
Identified transcription factors and enhancers associated with metabolic control
Demonstrated enrichment of pathways with high expression and active chromatin states in specific cell types.

Pacheco et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark