JEC21 CN phosphoproteomic study, Yadav and Heitman
Ontology highlight
ABSTRACT: Label free quantititative phosphoproteomics analysis following TiO2 enrichment, nanoscale capillary chromatography and high resolution tandem mass spectrometry.
INSTRUMENT(S):
ORGANISM(S): Cryptococcus Neoformans Var. Neoformans Jec21
Project description:This study aims to investigate the protein expression profiles in a murine model of dextran sulfate sodium (DSS)-induced colitis using advanced Astral-DIA quantitative proteomics technology. A total of 12 colon tissue samples were analyzed, including 6 from healthy control mice and 6 from DSS-treated mice with induced colitis. Experimental Design Species: Mus musculus (C57BL/6 strain). Tissue Source: Colon tissues were dissected, snap-frozen in liquid nitrogen, and homogenized to extract proteins. Groups: Control Group: Healthy mice without intervention. DSS Group: Mice subjected to 2.5% DSS administration for 7 days to induce colitis, validated by histopathological assessment.
Project description:Pochonia chlamydosporia (Goddard) Zare & Gams (Ascomycota, Sordariomycetes, Hypocreales, Pochoniaceae, Pochonia) is a nematophagous fungus with significant potential as a biocontrol agent against animal-parasitic nematode. However, the molecular and cellular mechanisms underlying its infection process remain poorly understood. This study aims to provide a comprehensive investigation of P. chlamydosporia infection dynamics in Parascaris equorum eggs using both microscopic and proteomic approaches. The infection was monitored at three distinct stages (early, middle, and late), with corresponding ultrastructural and molecular changes observed. Microscopic analysis using scanning electron microscopy (SEM), transmission electron microscopy (TEM), and light microscopy (LM) revealed the progressive invasion of P. chlamydosporia into nematode eggs. These observations provided detailed insights into the morphological changes in both fungal structures and nematode eggs, highlighting key infection stages such as fungal attachment, germination, and egg degradation. Furthermore, the observations confirmed the stages of fungal colonization, emphasizing the dynamic host-pathogen interaction at the macroscopic level. To complement these observations, a 4D-DIA-based quantitative proteomics approach was employed to analyze the exoproteomic changes in P. chlamydosporia during infection. A total of 410 differentially expressed proteins (DEPs) were identified across the three infection stages, with 313 proteins upregulated and 403 proteins downregulated. Gene Ontology (GO) enrichment analysis revealed that these DEPs are involved in critical biological processes, including cellular stress response, proteolysis, metabalic process, and hydrolase activity. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis further identified key infection-associated pathways, such as signal transduction, cell wall biosynthesis, energy metabolism, and host-pathogen interactions. These findings suggest that P. chlamydosporia employs a highly coordinated molecular strategy to adapt to and exploit its host. Quantitative PCR (qPCR) validation of key genes involved in signal transduction and immune evasion mechanisms further supported the molecular basis of P. chlamydosporia's parasitic behavior. These findings contribute to our understanding of fungal-nematode interactions and lay a solid foundation for the development of P. chlamydosporia as a sustainable tool for integrated pest management.
Project description:Liposomal amphotericin B is an important frontline drug for the treatment of visceral leishmaniasis, a neglected disease of poverty. The mechanism of action of amphotericin B (AmB) is thought to involve interaction with ergosterol and other ergostane sterols, resulting in disruption of the integrity and key functions of the plasma membrane. Emergence of clinically refractory isolates of L. donovani and L. infantum is an ongoing issue and knowledge of potential resistance mechanisms can help to alleviate this problem. Here we report the characterisation of four independently selected L. donovani clones that are resistant to AmB. Whole genome sequencing revealed that in three of the moderately resistant clones, resistance was due solely to the deletion of a gene encoding C24-sterol methyltransferase (SMT1). The fourth, hyper-resistant resistant clone (>60-fold) was found to have a 24 bp deletion in both alleles of a gene encoding a putative cytochrome P450 reductase (P450R1). Metabolic profiling indicated these parasites were virtually devoid of ergosterol (0.2% versus 18% of total sterols in wild-type) and had a marked accumulation of 14-methylfecosterol (75% versus 0.1% of total sterols in wild-type) and other 14-alpha methylcholestanes. These are substrates for sterol 14-alpha demethylase (CYP51) suggesting that this enzyme is a bona fide P450R specifically involved in electron transfer from NADPH to CYP51 during catalysis. Deletion of P450R1 in wild-type cells phenocopied the metabolic changes observed in our AmB hyper-resistant clone as well as in CYP51 nulls. Likewise, addition of a wild type P450R1 gene restored sterol profiles to wild type. Our studies indicate that P450R1 is essential for L. donovani amastigote viability, thus loss of this gene is unlikely to be a driver of clinical resistance. Nevertheless, investigating the mechanisms underpinning AmB resistance in these cells provided insights that refine our understanding of the L. donovani sterol biosynthetic pathway.
Project description:Meal timing is essential in synchronization of circadian rhythms in different organ systems through clock-dependent and -independent mechanisms. Adipose tissue is a critical metabolic and endocrine organ whose circadian clock and transcriptome can be reset by meal timing. However, it remains largely unexplored how circadian rhythms in adipose tissue are organized in time-restricted feeding that intervenes meal timing. Here, we applied quantitative phospho-proteomics to characterize circadian features associated with ad libitum feeding (ALF), day/inactive phase-restricted feeding (DRF) and night/active phase-restricted feeding (NRF) in female mice.
Project description:Toll/interleukin-1 receptor (TIR) domain proteins are immune signaling components and function as NAD+-cleaving enzymes to activate defense responses. Activation of TIRs represses growth and drives cell death in plants and promotes axon degeneration in animals, but how plant TIRs are repressed remains unclear. Here, we show that TIR NADase activity requires a conserved serine residue spatially close to the catalytic glutamate. The plant Ca2+-dependent protein kinases (CPKs), the mammalian Ca2+/calmodulin-dependent protein kinase II delta (CAMK2D) and TANK binding kinase 1 (TBK1) phosphorylate TIR domains at this conserved serine, which blocks TIR NADase activities and functions and thus maintains growth in plants and suppresses SARM1 TIR signaling in animals, respectively. Our findings define a fundamental molecular mechanism by which phosphorylation at a conserved serine residue blocks TIR signaling to balance growth and defense trade-offs.
Project description:Alzheimer's disease (AD) is a progressive neurodegenerative disorder that impairs memory, cognition, behavior, and other cognitive functions. Despite significant advances in understanding its molecular mechanisms, a definitive cure remains elusive. However, some treatments have the potential to slow disease progression if applied before brain damage occurs. Therefore, the identification of reliable biomarkers is critical for early diagnosis of AD and effective intervention. Recent advances in proteomics and the increased accuracy of machine learning algorithms have enhanced biomarker discovery and validation. In this study, we used a newly developed proteomic pipeline to analyse cerebrospinal fluid (CSF) to profile the proteome of AD patients, which included two different subgroups based on their CSF levels of tau. Then, machine learning was used to identify proteins that best classified the two subgroups of AD patients compared to non-AD controls. The resulting model, based on few CSF proteins, demonstrated high accuracy in predicting AD and differentiating patients with elevated or normal CSF tau levels. These protein classifiers, detectable in the preclinical stages of AD, were further validated in silico using larger, publicly available proteomic datasets, confirming their potential as early diagnostic tools.