Fasting differentially alters the hypothalamic proteome of chickens from lines selected for low or high body weight
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Synapt G2-S HDMS
ORGANISM(S): Gallus Gallus (chicken)
TISSUE(S): Hypothalamus
SUBMITTER: 
Keith Ray
LAB HEAD: Elizabeth Ruth Gilbert
PROVIDER: PXD009086 | Pride | 2019-07-12
REPOSITORIES: Pride
Publications
Fasting differentially alters the hypothalamic proteome of chickens from lines with the propensity to be anorexic or obese.
Liu Lingbin L Yi Jiaqing J Ray W Keith WK Vu Lucas T LT Helm Richard F RF Siegel Paul B PB Cline Mark A MA Gilbert Elizabeth R ER
Nutrition & diabetes 20190401 1
<h4>Background</h4>The hypothalamus is the ultimate modulator of appetite and energy balance and therefore sensitive to changes in nutritional state. Chicks from lines selected for low (LWS) and high (HWS) body weight are hypophagic and compulsive eaters, respectively, and differ in their propensity to become obese and in their hypothalamic mRNA response to fasting.<h4>Methods</h4>As fasting-induced changes in hypothalamic proteins are unknown, we investigated the hypothalamic proteomes of 5-day ...[more]
Similar Datasets
Project description:The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides was lacking. To this end, Akhilesh Pandey's lab reported a draft map of the human proteome based on high resolution Fourier transform mass spectrometry-based proteomics technology, which included an in-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells ( http://dx.doi.org/10.1038/nature13302 ). The profiling resulted in identification of proteins encoded by greater than 17,000 genes accounting for ~84% of the total annotated protein-coding genes in humans. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) complements available human genome and transcriptome data to accelerate biomedical research in health and disease. Pandey's lab and collaborators request that those considering use of this primary dataset for commercial purposes contact pandey@jhmi.edu. The full details of this study can be found in the PRIDE database: www.ebi.ac.uk/pride/archive/projects/PXD000561/. This ArrayExpress entry represents a top level summary of the metadata only which formed the basis of the reanalysis performed by Joyti Choudhary's team ( jc4@sanger.ac.uk ), results of which are presented in the Expression Atlas at EMBL-EBI : http://www.ebi.ac.uk/gxa/experiments/E-PROT-1.
2015-03-10 | E-PROT-1 | biostudies-arrayexpress
Project description:Cerebrospinal fluid from Alzheimer patients affects cell-mediated nerve growth factor production and cell survival in vitroCerebrospinal fluid from Alzheimer patients affects cell-mediated nerve growth factor production and cell survival in vitro
2018-08-13 | PXD010230 | Pride
Project description:Visceral adiposity is a risk factor for severe COVID-19 and a link between adipose tissue infection and disease progression has been proposed. Here we demonstrate that SARS-CoV-2 undergoes productive infection in adipocytes, although the degree of infection and the cellular response depend on the anatomical origin of the adipocyte and the viral strain. Differentiated adipocytes from human visceral adipose tissue are more permissive to SARS-CoV-2 infection than their subcutaneous counterpart, and this associates with ACE2 expression. Infection of subcutaneous adipocytes leads to inhibition of lipolysis, while infection of visceral adipocytes results in higher expression of pro-inflammatory cytokines. Infected adipocytes begin to die 4 days after infection, regardless of the origin. The viral load and cellular response are attenuated when adipocytes are infected with the SARS-CoV-2 variant P.1. Hence, SARS-CoV-2 infects and replicates in adipocytes, where it compromises cell viability and alters lipid metabolism or elicits a pro-inflammatory response depending on the fat depot and the viral strain.
2024-02-29 | PXD030910 | Pride
Project description:Liver models that closely mimic the in vivo microenvironment are central for understanding liver functions, capabilities, and intercellular communication processes. Whereas hepatocyte monolayers de-differentiate after only a few days in culture, constructs consisting of hepatocytes and non-parenchymal cells (NPC) separated by a polyelectrolyte multilayer (PEM) provide maintenance of hepatic phenotypes. To better understand the mechanisms and processes that underlie organotypic liver model function, hepatocyte protein abundances in the presence and absence of liver sinusoidal endothelial cells (LSECs) were compared to hepatocyte monolayers. The presence of the PEM led to increases in proteins associated with hepatocyte lipid metabolism, with mitochondrial-based β-oxidation and peroxisomal proteins found in higher abundance. It was also demonstrated that the presence of LSECs modulates levels of carboxylesterases and other phase I and phase II enzymes. These results are discussed in relation to intercellular signaling and hepatocyte function.
2017-07-06 | PXD002491 | Pride
Project description:The COVID-19 pandemic was initiated by the rapid spread of a SARS-CoV-2 strain. Though mainly classified as a respiratory disease, SARS-CoV-2 infects multiple tissues throughout the human body, leading to a wide range of symptoms in patients. To better understand how SARS-CoV-2 affects the proteome from cells with different ontologies, this work generated an infectome atlas of 9 cell models, including cells from brain, blood, digestive system, and adipocyte tissue. Our data shows that SARS-CoV-2 infection mainly trigger dysregulations on proteins related to cellular structure and energy metabolism. Despite these pivotal processes, heterogeneity of infection was also observed, highlighting many proteins and pathways uniquely dysregulated in one cell type or ontological group. These data have been made searchable online via a tool that will permit future submissions of proteomic data (https://reisdeoliveira.shinyapps.io/Infectome_App/) to enrich and expand this knowledgebase.
2024-02-29 | PXD050226 | Pride
Project description:We identified twin small non-coding RNAs regulating tricarboxylic acid (TCA) cycle activity in Neisseria meningitidis. Expression of TCA cycle enzymes was elevated in sRNA deletion mutants. Direct interaction between sRNAs and the ribosomal entry sites on target mRNAs was demonstrated. Expression of the sRNAs was down-regulated in cells grown in poor medium with glucose as the sole carbon source but not without lrp, indicating that sRNA expression is controlled by the stringent response. N. meningitidis, over-expressing the sRNAs replicated in blood, but not in human cerebrospinal fluid. In addition, Lrp synthesis was inhibited by direct interaction between the sRNA and the 5’ UTR of lrp. sRNAs control adaptation of N. meningitidis to variation in nutrient supply in different niches of its host.
2017-03-22 | PXD000891 | Pride
Project description:Uncovering the molecular mechanisms involved in the responses of crops to drought is crucial to understand and enhance drought tolerance mechanisms. Sugarcane (Saccharum spp.) is an important commercial crop cultivated mainly in tropical and subtropical areas for sucrose and ethanol production. Usually, drought tolerance has been investigated by single omics analysis (e.g. global transcripts identification). Here we combine label-free quantitative proteomics and metabolomics data (GC-TOF-MS), using a network-based approach, to understand how two contrasting commercial varieties of sugarcane, CTC15 (tolerant) and SP90-3414 (susceptible), adjust their leaf metabolism in response to drought. To this aim, we propose the utilization of regularized canonical correlation analysis (rCCA), which is a modification of classical CCA, and explores the linear relationships between two datasets of quantitative variables from the same experimental units, with a threshold set to 0.99. Light curves revealed that after four days of drought, the susceptible variety had its photosynthetic rate already significantly reduced, while the tolerant cultivar did not show major reduction. Upon twelve days of drought, the susceptible plants had the photosynthetic rate completely reduced, while the tolerant cultivar was at a third of its maximum. Our results provide a reference data set and demonstrate that rCCA can be a powerful tool to infer experimentally metabolite-protein or protein-metabolite associations to understand plant biology.
2020-01-02 | PXD014920 | Pride
Project description:COVID-19 patients may exhibit neuropsychiatric and neurological symptoms. We found that anxiety and cognitive impairment are manifested by 28-56% of SARS-CoV-2-infected individuals with mild respiratory symptoms and are associated with altered cerebral cortical thickness. Using an independent cohort, we found histopathological signs of brain damage in 25% of individuals who died of COVID-19. All of the affected brain tissues exhibited foci of SARS-CoV-2 infection and replication, particularly in astrocytes. Infection of neural stem cell-derived astrocytes changed energy metabolism, altered key proteins and metabolites used to fuel neurons and for biogenesis of neurotransmitters, and elicited a secretory phenotype that reduces neuronal viability. Our data support the model where SARS-CoV-2 reaches the brain, infects astrocytes and triggers neuropathological changes that contribute to the structural and functional alterations in the brain of COVID-19 patients.
2022-09-01 | PXD023781 | Pride
Project description:A scanning quadrupole data independent acquisition (DIA) method is described and characterised for the qualitative and quantitative label free proteomic analysis of complex biological samples. The principle of the scanning quadrupole DIA is discussed and the effect of the optimization of analytical instrument characteristics, such as acquisition speed, sample complexity, and scan/integration time in relation to sample complexity for a number of different model proteomes of various complexity and dynamic range, including plasma, human cell lines, and bacteria samples, discussed. In addition, its technological merits from an acquisition neutral perspective are reviewed. The qualitative and semi-quantitative performance of the method is illustrated and contrasted for the analysis of a well-characterised human cell line sample using untargeted and targeted search strategies. The application of the method is demonstrated for the analysis of the calcineurin-dependent proteome of drug treated Aspergillus fumigatus. The design of these experiments afforded assessment of the precision and accuracy of scanning quadrupole data independent acquisition (DIA) method as will be demonstrated by peptide and protein centric analysis of the study pool QC samples of the study. Moreover, novel and specific interactors in response to drug treatment that are indicative of the role of calcineurin role in regulating these effectors have been identified.
2017-09-14 | PXD005869 | Pride
Project description:We applied a non targeted mass spectrometric assay (LCMSE), to quantify 55 abundant plasma proteins in specimens from 31 healthy volunteers. Quantitation was done by HI3 peptide measurement using a single internal standard to estimate protein concentrations. Results for 7 apolipoproteins were compared with those obtained using isotope labelled standards, while 12 proteins were compared to routine immunoassays. Blood samples were obtained from 31 healthy volunteers (17 males; 14 females) with a median age of 46 years and a range of 22-67 years. Total plasma protein concentration was assayed with a BCA-assay (20) according to the manufacturer’s protocol (Thermo). Samples were diluted tenfold in 0.1% Rapigest SF (Waters Corporation, Milford, MA), 50 mM ammonium bicarbonate and heated at 95° C for 15 min. Subsequently, plasma samples were reduced with 5 mM dithiothreitol (60° C, 30 min) and alkylated with 15 mM iodoacetamide (ambient temperature, dark, 30 min). Proteolytic digestion was performed with modified trypsin (gold grade, Promega, Madison WI) at 0.3 units/µg protein, (37° C, 20 hours) unless indicated otherwise. Following digestion, Rapigest SF was broken down by adding 1% trifluoroacetic acid (pH<2, 37 °C, 45 min). Peptide solutions were centrifuged (20,000 x g, 10 min) and supernatant was collected. Prior to analyses a MASSPREP protein digestion standard (Waters Corporation, ADH1 or ENO from Saccharomyces cerevisiae) was added for quantitation purposes. LC-MS analyses were performed using ~ 0.21 µg of the final plasma protein digest mixtures (384 times total dilution) unless indicated otherwise. LC separations of tryptic peptides were performed with a NanoAcquity system (Waters Corporation), coupled to a Synapt G2 quadrupole time of flight mass spectrometer (Waters Corporation, Manchester, UK). Accurate mass precursor and fragment ion LC-MS data were collected in data independent LCMSE mode of acquisition. Continuum LC-MS data were processed using ProteinLynx GlobalSERVER version 2.5 (PLGS 2.5, Waters Corporation). Parameter settings: digest reagent trypsin, allow 1 ‘missed cleavage’, search tolerances automatic, typically 5 ppm for precursor and 15 ppm for product ions, fixed modification cysteine carbamidomethylation, and variable modification methionine oxidation. Protein identifications were obtained searching the human SwissProt entries of an UniProt database (release 13.2). This database was modified to include N-terminal processing of proteins using protein maturation device software, with ADH1 and ENO1 of S. cerevisiae appended as internal standard to address technical variation and allow concentration determinations. Estimation of false-positive identification rates was done by searching a randomized version of the abovementioned human protein database generated within PLGS 2.5. Data were exported as csv-files for further, detailed analysis. Stringent criteria were applied for quantitation, protein identifications were only considered significant if reported in 14 or more samples. Protein false positive identification rates were estimated using the criteria mentioned above and no false positives were identified in these searches. DATASET: KC1-31: 31 healthy volunteers QC1-10: 10 times injection of a single sample to ascertain analytical variation over 9 days of measurements. 20120802_QC1-QC6: 6 pooled plasma samples worked up and analysed during a single day of measurements to ascertain Intra-assay variation. 20120427_S2,S4;20120525_S18,S19;20120626_S3,S4;20120802_QC7: 7 pooled plasma samples processed and analysed during 3 months of routine measurements to analyse Inter-assay variation 20130416_s1-s5: pooled plasma samples spiked with a QCONCATAMER for 11 apolipoproteins labelled by heavy Lysine and Arginine (+6.02 AMU) to quantify apolipoproteins by internal isotope labelled standard.
2015-10-20 | PXD000347 | Pride