Unknown

Dataset Information

0

A Strategy for Discovery of Endocrine Interactions with Application to Whole-Body Metabolism.


ABSTRACT: Inter-tissue communication via secreted proteins has been established as a vital mechanism for proper physiologic homeostasis. Here, we report a bioinformatics framework using a mouse reference population, the Hybrid Mouse Diversity Panel (HMDP), which integrates global multi-tissue expression data and publicly available resources to identify and functionally annotate novel circuits of tissue-tissue communication. We validate this method by showing that we can identify known as well as novel endocrine factors responsible for communication between tissues. We further show the utility of this approach by identification and mechanistic characterization of two new endocrine factors. Adipose-derived Lipocalin-5 is shown to enhance skeletal muscle mitochondrial function, and liver-secreted Notum promotes browning of white adipose tissue, also known as "beiging." We demonstrate the general applicability of the method by providing in vivo evidence for three additional novel molecules mediating tissue-tissue interactions.

SUBMITTER: Seldin MM 

PROVIDER: S-EPMC5935137 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

altmetric image

Publications


Inter-tissue communication via secreted proteins has been established as a vital mechanism for proper physiologic homeostasis. Here, we report a bioinformatics framework using a mouse reference population, the Hybrid Mouse Diversity Panel (HMDP), which integrates global multi-tissue expression data and publicly available resources to identify and functionally annotate novel circuits of tissue-tissue communication. We validate this method by showing that we can identify known as well as novel end  ...[more]

Similar Datasets

| S-EPMC7264154 | biostudies-literature
2020-03-26 | GSE126102 | GEO
| S-EPMC5299706 | biostudies-literature
| S-EPMC3998959 | biostudies-literature
| S-EPMC4208847 | biostudies-literature
2020-03-26 | GSE126101 | GEO
2020-03-26 | GSE126100 | GEO
2020-03-26 | GSE126099 | GEO
| S-EPMC3486908 | biostudies-literature
| S-EPMC2528174 | biostudies-literature