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Multi-tissue networks behind obesity biology

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Adipose–hypothalamus coexpression subnetworks, including circadian genes, associate with obesity-related biology beyond single-tissue views.

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Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease

Dobrin R, Zhu J, Molony C, et al. · Genome biology · 2009

doi.org/10.1186/gb-2009-10-5-r55Read the full paper ↗128 citationscc by

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Multi-tissue networks behind obesity biology

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

Which tissue pair yields key TTC subnetworks?

Between adipose and hypothalamus we find several TTC subnetworks that are associated with precise biological functions.

Where sits the C2 subnetwork?

the C2 subnetwork is at the center of the AH network.
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What they did

Built multi-tissue coexpression networks integrating expression across tissues to find cross-tissue subnetworks linked to disease traits.

What they found

Several adipose–hypothalamus TTC subnetworks map to biological functions; a central C2 subnetwork is enriched for obesity- and circadian-related genes (e.g., Arntl, Per1/2).

The limits

What it doesn't show

Network enrichment is not a clinical treatment trial; causality of each edge remains to be tested.

Key terms

Coexpression network
Graph of genes with correlated expression patterns.
Cross-tissue subnetwork
Gene module spanning multiple organs.
Adipose–hypothalamus axis
Fat–brain communication relevant to energy balance.
Circadian genes
Clock genes such as Arntl/Per that oscillate daily.
Obesity-associated genes
Genes linked to obesity traits in genetic/functional data.

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Central tissue pair:

Common questions

Which tissues feature centrally?

Adipose and hypothalamus.

What is special about C2?

Obesity + circadian enrichment at the AH network center.

Example clock genes?

Arntl, Dbp, Per1, Per2.

Why multi-tissue?

Complex traits arise from networks within and between tissues.

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