Smelling the Dark Proteome: Functional Characterization of PITH Domain-Containing Protein 1 (C1orf128) in Olfactory Metabolism.
Mercedes Lachén-MontesNaroa MendizuriKarina AusínAlberto Pérez-MediavillaMikel AzkargortaIbon IloroFelix ElortzaHiroyuki KondoIzumi OhigashiIsidre FerrerRafael de la TorrePatricia RobledoJoaquín Fernández-IrigoyenEnrique SantamariaPublished in: Journal of proteome research (2020)
The Human Proteome Project (HPP) consortium aims to functionally characterize the dark proteome. On the basis of the relevance of olfaction in early neurodegeneration, we have analyzed the dark proteome using data mining in public resources and omics data sets derived from the human olfactory system. Multiple dark proteins localize at synaptic terminals and may be involved in amyloidopathies such as Alzheimer's disease (AD). We have characterized the dark PITH domain-containing protein 1 (PITHD1) in olfactory metabolism using bioinformatics, proteomics, in vitro and in vivo studies, and neuropathology. PITHD1-/- mice exhibit olfactory bulb (OB) proteome changes related to synaptic transmission, cognition, and memory. OB PITHD1 expression increases with age in wild-type (WT) mice and decreases in Tg2576 AD mice at late stages. The analysis across 6 neurological disorders reveals that olfactory tract (OT) PITHD1 is specifically upregulated in human AD. Stimulation of olfactory neuroepithelial (ON) cells with PITHD1 alters the ON phosphoproteome, modifies the proliferation rate, and induces a pro-inflammatory phenotype. This workflow applied by the Spanish C-HPP and Human Brain Proteome Project (HBPP) teams across the ON-OB-OT axis can be adapted as a guidance to decipher functional features of dark proteins. Data are available via ProteomeXchange with identifiers PXD018784 and PXD021634.
Keyphrases
- wild type
- endothelial cells
- electronic health record
- induced pluripotent stem cells
- high fat diet induced
- pluripotent stem cells
- big data
- quality improvement
- healthcare
- type diabetes
- emergency department
- machine learning
- induced apoptosis
- signaling pathway
- poor prognosis
- metabolic syndrome
- binding protein
- small molecule
- single cell
- adipose tissue
- mild cognitive impairment
- cell cycle arrest
- working memory
- amino acid
- prefrontal cortex
- artificial intelligence
- data analysis
- subarachnoid hemorrhage
- endoplasmic reticulum stress
- long non coding rna
- adverse drug