The Molecular Logic of Gtr1/2 and Pib2 Dependent TORC1 Regulation in Budding Yeast
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ABSTRACT:
INSTRUMENT(S):
ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)
SUBMITTER: 
Paul Langlais
LAB HEAD: Andrew Capaldi
PROVIDER: PXD047142 | Pride | 2025-11-13
REPOSITORIES: Pride
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Project description:The Target of Rapamycin kinase Complex I (TORC1) is a central hub in the cell growth and metabolic control network of eukaryotes. How its upstream regulators cooperate to tune signaling across environmental conditions remains unclear. Here, we combine phosphoproteomics, TORC1 activity assays, and targeted genetic perturbations to dissect TORC1 regulation in Saccharomyces cerevisiae during transitions from a high-quality nitrogen source (glutamine) to a low-quality nitrogen source (proline), and on to complete nitrogen starvation. In proline medium, Ait1 and Gcn2 attenuate TORC1 activity, establishing a partially inhibited “Low Nitrogen Adaptive” state marked by extensive metabolic reprogramming without growth arrest. In contrast, during nitrogen starvation, SEAC, Ait1, and Gcn2 cooperate to drive TORC1 into a fully inhibited state, triggering widespread dephosphorylation of its downstream targets and entry into quiescence. Our results define a multilayered regulatory circuit that governs graded TORC1 control—a design likely conserved across eukaryotes.
2025-11-13 | PXD068726 | Pride
Project description:The importance of the mammalian intestinal microbiota to human health has been intensely studied over the past few years. It is now clear that the interactions between human hosts and their associated microbial communities need to be characterized in molecular detail if we are to truly understand human physiology. Additionally, the study of such host-microbe interactions is likely to provide us with new strategies to manipulate such complex systems to maintain or restore homeostasis in order to prevent or cure pathological states. We describe the use of high-throughput metabolomics to shed light on the interactions between the intestinal microbiota and the host. We show that treatment with the antibiotic streptomycin disrupts intestinal homeostasis and has a profound impact on the intestinal metabolome, affecting the levels of over 87% of all metabolites detected. Many metabolic pathways that are critical for host physiology were affected, including bile acid, eicosanoid and steroid hormone synthesis. Interestingly, many of these pathways are also affected by intestinal pathogens. Dissecting the effect of both beneficial and pathogenic bacteria on some of these pathways will be instrumental in understanding the interplay between the host, the resident microbiota and incoming pathogens and may aid in the design of new therapeutic strategies that target these interactions. Age-matched female C57BL/6 mice were used. Fresh feces were collected and stored at -80 oC. Mice were then treated with 20 mg of streptomycin through oral gavage and fresh feces were collected 24 hours after treatment and stored at -80 oC until used. To extract metabolites from feces, acetonitrile was added to samples (approximately 10-25 μL of acetonitrile per 1 mg of tissue), which were then homogenized. The samples were then cleared by centrifugation and the supernatant was collected and dried at room temperature using a centrifuge equipped with a vacuum pump. All extracts were kept at -80 oC until used. For metabolic profiling, the dried extracts from mouse feces were suspended in a 2:3 mixture of water and acetonitrile (10 μL per 1 mg of tissue), vortexed and cleared by centrifugation. Supernatants were collected and used as described below. Extracts were diluted 1:5 with 60% acetonitrile containing either 0.2% formic acid (for positive ion mode) or 0.5% ammonium hydroxide (for negative ion mode) and spiked with predefined amounts of the "ES tuning mix" solution as the internal standard for mass calibration. The solutions were then infused, using a syringe pump (KDS Scientific, Holliston, USA) at a flow rate of 2.5 µL per minute, into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer (Bruker Daltonics, Billerica, USA) equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Data were recorded in positive and negative ion modes with broadband detection and an FT acquisition size of 1024 kilobytes per second, within a range of m/z 150 to 1100. Under these settings, a mass resolution of ca. 100,000 (full width at half maximum, FWHM) at m/z 400 and a mass accuracy within 2 ppm or less for all detected components, following internal mass calibration, were observed. Other experimental parameters were: capillary electrospray voltage of 3600-3750 V, spray shield voltage of 3300-3450 V, source ion accumulation time of 0.1 s and collision cell ion accumulation time of 0.2 s. To increase detection sensitivity, survey scan mass spectra in positive and negative ion modes were acquired from the accumulation of 200 scans per spectrum, and duplicate acquisitions per sample were carried out to ensure data reproducibility. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140). To identify differences in metabolite composition between untreated and treated samples, we first filtered our list of masses for metabolites that were present on one set of samples (untreated or treated) but not the other. Additionally, we averaged the mass intensities of metabolites in each group and calculated the ratios between averaged intensities of metabolites from untreated and treated samples. To assign possible metabolite identities to the masses present in only one of the sample groups or showing at least a 2-fold change in intensities between the sample groups, the monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org), a free-access software designed to incorporate masses into metabolic pathways. Masses were searched against the Mus musculus database within a mass error of 3 ppm. Data were analyzed by unpaired t tests with 95% confidence intervals.
2011-02-08 | E-GEOD-25687 | biostudies-arrayexpress
Project description:Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle. Mouse primary dendritic cells were treated with LPS or mock stimulus and profiled over a 12-hour time course. Cells were grown in M-labeled SILAC media, which was replaced with H-labeled SILAC media at time 0. Aliquots were taken at 0, 0.5, 1, 2, 3, 4, 5, 6, 9, and 12 hours post-stimulation and added to equal volumes of a master mix of unlabeled (L) cells for the purpose of normalization. RNA-Seq was performed at 0, 1, 2, 4, 6, 9, and 12 hours post-stimulation.
2015-03-06 | E-GEOD-59792 | biostudies-arrayexpress
Project description:The unicellular cyanobacterium Synechocystis sp. PCC 6803 is a model system for studying biochemistry, genetics and molecular biology of photobiological processes. Despite its importance in basic and applied research, the genome-wide picture of transcriptional regulation in this bacterium is limited. Characteristic transcriptional responses to changes in the growth environment are expected to provide a scaffold for describing the Synechocystis transcriptional regulatory network as well as efficient means for functional annotation of genes in the genome. We designed, validated and used Synechocystis genome-wide oligonucleotide (70-mer) microarray (representing 96.7% of all chromosomal ORFs) to study transcriptional activity of the cyanobacterial genome in response to S deprivation. The microarray data were verified by quantitative RT-PCR. We made five main observations: 1) Transcriptional changes upon sulfate withdrawal were relatively moderate, but significant and consistent with growth kinetics; 2) S acquisition genes encoding for a high-affinity sulfate transporter were significantly induced, while decreased transcription of genes for phycobilisome, photosystems I and II, cytochrome b6/f, and ATP synthase indicated reduced light-harvesting and photosynthetic activity; 3) S deprivation elicited transcriptional responses associated with general growth arrest and stress; 4) A large number of genes regulated by S availability encode hypothetical proteins or proteins of unknown function; 5) Hydrogenase structural and maturation accessory genes were not identified as differentially expressed, even though increased hydrogen evolution was observed. The expression profiles recorded by using this oligonucleotide-based microarray platform revealed that during transition from the condition of plentiful sulfur to no sulfur, Synechocystis undergoes coordinated transcriptional changes, including genes whose products are involved in sensing nutrient limitations and tuning bacterial metabolism. The transcriptional profile of the nutrient limitation was dominated by decrease in abundances of many transcripts. However, these changes were unlikely due to the across-the-board, non-specific shut down of transcription in a condition of growth arrest. Down-regulation of transcripts encoding proteins whose function depends on a cellular sulfur status indicated that the observed repression has a specific regulatory component. The repression of certain sulfur-related genes was paralleled by activation of genes involved in internal and external S scavenging. Keywords: stress response, time course Synechocystis sp. PCC 6803 was grown photoautotrophically in BG-11 medium supplemented with 8mM NaHCO3 and buffered with 10mM HEPES (pH 7.4). The cells were grown in 250ml flasks at 32oC under a light intensity of 25µmol photons m-2 s-1. Cultures were bubbled with sterile air containing 1% (v/v) CO2. Log phase cells (OD730nm=0.6) were harvested by centrifugation (2000×g for 12 min) washed once and then re-suspended in sulfate-free media (MgSO4 replaced by the same molarity of MgCl2). In addition, all S-containing trace metals in BG-11 were replaced by non-S containing metals. Cells were harvested and fixed for microarray analysis by adding 10% (v/v) ice-cold 5% phenol in ethanol stop solution at the following time points: before S-depravation (time 0, control), 1, 3, 6, 12, 24, 48 and 72 hr after S-depravation. S-deprivation with HEPES buffering control experiment was performed as described above, except that HEPES buffer was used upon sulfate removal. Bacterial samples for a time course were taken at time 0, 1, 12 and 24 hrs after sulfate withdrawal. Growth stage control experiment was done in parallel with S deprivation experiments. Samples were taken at 0, 1, 2.5, 4, 7, 11 and 48 hr after OD730nm reached 0.60. All the experiments were done in biological replicates.
2008-07-24 | E-GEOD-11970 | biostudies-arrayexpress
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2022-02-22 | PXD000940 | Pride
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2022-02-22 | PXD000939 | Pride
Project description:To resolve the temporal sequence of phosphorylation events responding to nutritional and chemically induced up and downshifts of TORC1 signaling in S. cerevisiae wildtype, we performed quantitative MS phosphoproteomics upon nitrogen-quality up and downshifts and rapamycin treatment. We generated a high quality dataset byapplying a high resolution sampling, parallel sample processing and a dedicated data analysis pipeline that allowed us to select significant transient dynamics. By exploiting the temporal resolution of our data and the complementary of the shift experiments, we identified early phosphorylation changes regulated directly by TORC1 or by its proximal substrate kinases, and found both established and novel candidate TORC1 targets. Among the candidateTORC1 targets were the metabolic enzymes Amd1, Hom3, Nth1 and Tsl1, involved in nucleotide, amino acid and storage carbohydrate metabolism. Functional assessment of the role of phosphorylation for these and other enzymes was achieved by correlating phosphopeptide with the corresponding enzyme-associated metabolite dynamics. Candidate kinases regulating these enzymes were identified by establishing TORC1-proximity and differential kinase activity criteria. Our work provides first evidence of TORC1-dependent regulation of the metabolic enzymes Amd1and Hom3 by the kinases Sch9 and Atg1, respectively, providing mechanistic insights into on how TORC1 controls nucleotide and amino acid metabolism in response to the quality of the nitrogen source.
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Project description:2×10^7 HL60 cells were treated with 10 uM ATRA for 2 and 5 days, and conducted Hi-C to study the chromosomal architecture. Cells were fixed by 1% formaldehyde (v/v) for 15 min at room temperature (RT) with slowly rotation. Cells were lysed by 550 μl lysis buffer (500 μl 10 mM Tris-HCl pH 8.0, 10 mM NaCl, 0.2% Igepal CA-630 and 50 μl protease inhibitors) using a homogenizer, and harvested the chromatin at 5,000 rpm and washed twice. The pellet was added 1% SDS and incubated at 65 oC for 10 min, then quenched by Triton X-100. The chromatin was digested by 600 U MboI (NEB, Ipswich, USA) at 37 oC overnight. The next day, enzymes were inactivated by 10% SDS at 65 oC for 30 min, and the restriction fragment overhangs were filled in using biotin-14-dCTP and Klenow at 37 oC for 45 min, and the ligation was conducted in 7.61 ml ligation mix (745 μl 10% Triton X-100, 745 μl 10x ligation buffer (500 mM Tris-HCl pH 7.5, 100 mM MgCl2, 100 mM DTT), 80 μl 10 mg/ml BSA, 80 μl 100 mM ATP and 5.96 ml water) for 4 h at 16°C. The blunt-end Hi-C ligation was sonicated and pull down by streptavidin beads, then purified by ethanol. Hi-C library was prepared for paired ending sequencing using NEBNext® UltraTM DNA Library Prep Kit for Illuina® (NEB). For regular 3C ligation, after enzymes inactivation, 10 μl 1 U/μl T4 DNA ligase was added to incubate at 16°C overnight. The interaction was detected by qPCR using the specific 3C primers (Table 1) followed by DNA purification. Hi-C was conducted in PE-150. An iterative method for Hi-C mapping with initial length 30bp, if it fails to map uniquely, the next round of mapping for additional 20 bp continued, this procedure lasts until the full read length reaches 150bp. The Hi-C reads were mapped to the human reference genome (assembly GRCh38) using bowtie2 (v2.2.9). The reads mapped to the same restriction fragment, the reads less than 500bp and PCR duplicates were all removed. Hi-C contact maps were normalized using ICE.
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