Endoplasmic Reticulum Homeostasis Is Modulated by the Forkhead Transcription Factor FKH-9 During Infection of Caenorhabditis elegans.
Erik J TillmanClaire E RichardsonDouglas J CattieKirthi C ReddyNicolas J LehrbachRita DrosteGary RuvkunDennis H KimPublished in: Genetics (2018)
Animals have evolved critical mechanisms to maintain cellular and organismal proteostasis during development, disease, and exposure to environmental stressors. The Unfolded Protein Response (UPR) is a conserved pathway that senses and responds to the accumulation of misfolded proteins in the endoplasmic reticulum (ER) lumen. We have previously demonstrated that the IRE-1-XBP-1 branch of the UPR is required to maintain Caenorhabditis elegans ER homeostasis during larval development in the presence of pathogenic Pseudomonas aeruginosa In this study, we identify loss-of-function mutations in four conserved transcriptional regulators that suppress the larval lethality of xbp-1 mutant animals caused by immune activation in response to infection by pathogenic bacteria: FKH-9, a forkhead family transcription factor; ARID-1, an ARID/Bright domain-containing transcription factor; HCF-1, a transcriptional regulator that associates with histone modifying enzymes; and SIN-3, a subunit of a histone deacetylase complex. Further characterization of FKH-9 suggests that loss of FKH-9 enhances resistance to the ER toxin tunicamycin and results in enhanced ER-associated degradation (ERAD). Increased ERAD activity of fkh-9 loss-of-function mutants is accompanied by a diminished capacity to degrade cytosolic proteasomal substrates and a corresponding increased sensitivity to the proteasomal inhibitor bortezomib. Our data underscore how the balance between ER and cytosolic proteostasis can be influenced by compensatory activation of ERAD during the physiological ER stress of infection and immune activation.
Keyphrases
- endoplasmic reticulum
- transcription factor
- dna binding
- histone deacetylase
- pseudomonas aeruginosa
- genome wide identification
- dna methylation
- cystic fibrosis
- escherichia coli
- gene expression
- electronic health record
- risk assessment
- aedes aegypti
- oxidative stress
- wild type
- endoplasmic reticulum stress
- big data
- deep learning
- machine learning
- data analysis
- zika virus
- ultrasound guided
- drug resistant
- drosophila melanogaster
- newly diagnosed
- acinetobacter baumannii
- candida albicans