Evidence map›Paper›PMID 26075596›Full record

ArticlePloS one2015

The Identification of Novel Protein-Protein Interactions in Liver that Affect Glucagon Receptor Activity.

Junfeng Han, Ming Zhang, Sean Froese, Feihan F Dai, Mélanie Robitaille, Alpana Bhattacharjee, Xinyi Huang, Weiping Jia, Stéphane Angers, Michael B Wheeler and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Junfeng HanDepartment of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Ming ZhangDepartment of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada.
Sean FroeseDepartment of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada.
Feihan F DaiDepartment of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada.
Mélanie RobitailleLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, M5S1A8, Canada.
Alpana BhattacharjeeDepartment of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada.
Xinyi HuangDepartment of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada.
Weiping JiaDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Stéphane AngersLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, M5S1A8, Canada.
Michael B WheelerDepartment of Physiology and Medicine, University of Toronto, Toronto, Ontario, Canada.
Li WeiDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
University of Toronto · CAShanghai Sixth People's Hospital · CN

Funding

Canadian Institutes of Health Research MOP-102588Canadian Institutes of Health Research MOP-324754
6 · The paper itself

Abstract

Glucagon regulates glucose homeostasis by controlling glycogenolysis and gluconeogenesis in the liver. Exaggerated and dysregulated glucagon secretion can exacerbate hyperglycemia contributing to type 2 diabetes (T2D). Thus, it is important to understand how glucagon receptor (GCGR) activity and signaling is controlled in hepatocytes. To better understand this, we sought to identify proteins that interact with the GCGR to affect ligand-dependent receptor activation. A Flag-tagged human GCGR was recombinantly expressed in Chinese hamster ovary (CHO) cells, and GCGR complexes were isolated by affinity purification (AP). Complexes were then analyzed by mass spectrometry (MS), and protein-GCGR interactions were validated by co-immunoprecipitation (Co-IP) and Western blot. This was followed by studies in primary hepatocytes to assess the effects of each interactor on glucagon-dependent glucose production and intracellular cAMP accumulation, and then in immortalized CHO and liver cell lines to further examine cell signaling. Thirty-three unique interactors were identified from the AP-MS screening of GCGR expressing CHO cells in both glucagon liganded and unliganded states. These studies revealed a particularly robust interaction between GCGR and 5 proteins, further validated by Co-IP, Western blot and qPCR. Overexpression of selected interactors in mouse hepatocytes indicated that two interactors, LDLR and TMED2, significantly enhanced glucagon-stimulated glucose production, while YWHAB inhibited glucose production. This was mirrored with glucagon-stimulated cAMP production, with LDLR and TMED2 enhancing and YWHAB inhibiting cAMP accumulation. To further link these interactors to glucose production, key gluconeogenic genes were assessed. Both LDLR and TMED2 stimulated while YWHAB inhibited PEPCK and G6Pase gene expression. In the present study, we have probed the GCGR interactome and found three novel GCGR interactors that control glucagon-stimulated glucose production by modulating cAMP accumulation and genes that control gluconeogenesis. These interactors may be useful targets to control glucose homeostasis in T2D.

Indexed as

Protein Interaction MappingProtein Interaction MapsProteomicsAnimalsCarrier ProteinsCell LineCHO CellsCricetulusCyclic AMPGene Expression RegulationGluconeogenesisGlucoseHepatocytesLiverMiceProtein BindingCarrier ProteinsCyclic AMPGlucoseReceptors, GlucagonReceptors, G-Protein-Coupled

Identifiers

PMID26075596
PMCPMC4468146
OpenAlexW1840233727

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.