Salmonella enterica Typhimurium infection causes metabolic changes in chicken muscle involving AMPK, fatty acid and insulin/mTOR signaling

Arsenault, Ryan J.; Napper, Scott; Kogut, Michael H.

doi:10.1186/1297-9716-44-35

Cited by 59 publications

(57 citation statements)

References 40 publications

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“…These species-specific peptide arrays have been used to study signaling involving host-bacteria interactions [22], host-viral interactions [23] and prion biology [24], among others. Our group recently designed and utilized the first reported chicken-specific peptide array, which was also the first kinome peptide array used to study in vivo metabolism [25]. Here, we introduce the first chicken-specific peptide array designed for immunological study.…”

Section: Introductionmentioning

confidence: 99%

Combined CpG and poly I:C stimulation of monocytes results in unique signaling activation not observed with the individual ligands

Arsenault

Kogut

2013

Cellular Signalling

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Section: Introductionmentioning

confidence: 99%

Combined CpG and poly I:C stimulation of monocytes results in unique signaling activation not observed with the individual ligands

Arsenault

Kogut

2013

Cellular Signalling

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“…That phosphorylation events can be represented by short peptides, enabling the creation of arrays for high throughput analysis of global cellular kinase activity, in particular in a manner that can be customized for species of interest 33 . Kinome analysis through species-specific peptide arrays has proven to be a powerful approach for deciphering biology, in particular in the context of host-pathogen interactions within outbred populations including cattle [34][35][36] , pigs 37 , and chickens 38 . Our previous efforts to develop a honeybee-specific kinome array (when applied to bees with a well-defined phenotype) provided evidence for signaling differences between individual bees, representing a variety of developmental stages, selected from colonies representing extreme phenotypes of Varroa mite tolerance and susceptibility 25 .…”

mentioning

confidence: 99%

Kinome Analysis of Honeybee (Apis mellifera L.) Dark-Eyed Pupae Identifies Biomarkers and Mechanisms of Tolerance to Varroa Mite Infestation

Robertson¹,

Scruten

Mostajeran³

et al. 2020

Sci Rep

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the mite Varroa destructor is a serious threat to honeybee populations. Selective breeding for Varroa mite tolerance could be accelerated by biomarkers within individual bees that could be applied to evaluate a colony phenotype. Previously, we demonstrated differences in kinase-mediated signaling between bees from colonies of extreme phenotypes of mite susceptibility. We expand these findings by defining a panel of 19 phosphorylation events that differ significantly between individual pupae from multiple colonies with distinct Varroa mite tolerant phenotypes. the predictive capacity of these biomarkers was evaluated by analyzing uninfested pupae from eight colonies representing a spectrum of mite tolerance. The pool of biomarkers effectively discriminated individual pupae on the basis of colony susceptibility to mite infestation. Kinome analysis of uninfested pupae from mite tolerant colonies highlighted an increased innate immune response capacity. The implication that differences in innate immunity contribute to mite susceptibility is supported by the observation that induction of innate immune signaling responses to infestation is compromised in pupae of the susceptible colonies. collectively, biomarkers within individual pupae that are predictive of the susceptibility of colonies to mite infestation could provide a molecular tool for selective breeding of tolerant colonies.Prioritizing bees at the dark-eyed pupae stage of development minimizes potential signaling variability arising from different castes or environmental influences in adult bees. All samples were analyzed within the same kinome assay to minimize technical effects due to inter-assay variability. Individual frozen pupae were placed in a sealed plastic bag in the presence of 300 μl of lysis buffer 25 . The pupae were pulverized with a rubber mallet and the resulting suspension was centrifuged at 10,000 × g for 10 min. Supernatants were used for kinome analysis 25 . Data analysis. The dataset for each array contains signal intensities associated with the nine technical replicates for each of the 299 peptides spotted on each array. Kinome data were processed through PIIKA 2, a pipeline for processing kinome array data 45 .Identification of peptide biomarkers of varroa mite susceptibility. A one-sided paired student's t-test of normal distribution was used to compare normalized signal intensity values for each of the 299 peptides of individual pupae (n = 5) representing the two high and low colony phenotypes of Varroa mite susceptibility. Specifically, mite tolerance was represented by pupae from the S88 (n = 3) and S23A (n = 2) colonies while mite susceptibility was represented by pupae from the G4 (n = 3) and S88-4 (n = 2) colonies in the absence of mite infestation. Peptides with significant (P-value < 0.01) differences in levels of phosphorylation between pupae of the two phenotypes were classified as potential biomarkers.

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“…Peptide array based kinome studies in poultry focused on studying the host response to infection. Peptide arrays analysis of chicken macrophage kinome infected with different serovars of Salmonella identified differences in infection with two different strains (22), and evaluation of skeletal muscle kinome during Salmonella Typhimurium infection could identify metabolic changes that could alter fatty acid and glucose metabolism through AMPK and the insulin/mammalian target of rapamycin (mTOR) signaling pathways (38). A peptide array for studying the kinome of mallard and American black duck to study response to pathogens and environmental stress is available (39).…”

Section: Discussionmentioning

confidence: 99%

An atlas of the catalytically active liver and spleen kinases in chicken identified by chemoproteomics

Nanduri

Gresham

Hui

et al. 2019

Preprint

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20Chicken is the first agricultural animal to have a sequenced genome, but current kinase 21 annotations of Gallus gallus are overwhelmingly limited to the predictions generated 22 based on homology or isolated studies focused on specific kinases. Our approach used 2 23 chemical probes consisting of ATP and ADP derivatives binding to specific lysine 24 residues within the ATP-binding pocket of kinases. Collectively, we identified 188 25 chicken kinases and corresponding 267 peptides labeled with the ATP and ADP acyl 26 derivatives in chicken spleen and liver. The kinases identified here are publicly available 27 through the database, Chickspress genome browser 28 29 putative functions of these chicken kinases indicates that kinases identified in this study 30 might regulate hematological system development, necrosis, apoptosis, epithelial 31 neoplasm, and other processes. The identified tissue-specific expression atlas of active 32 chicken kinases along with the ATP binding sites of kinases provide the basis for the 33 development of specific drug targets for multiple chicken diseases as well as starting 34 point for inhibitor selectivity studies in this agriculturally important species. Moreover, 35 this study will support future studies focused on identifying the role of these kinases in 36 chicken growth, metabolism, and disease. 37 38 40 41 42 Chicken represents an essential source of protein. The U.S. poultry industry is the 43 largest in the world and continues to be a major supplier of meat and eggs. The world's 44 population growth is projected to surpass 9 billion by 2050, which mandates 3 45 intensification of the existing poultry operations. It is necessary to make improvements 46 in the breeding, management, and treatment of poultry to meet this projected higher 47 demand for food. A comprehensive understanding of the physiology and 48 pathophysiology of the chicken is critical for animal production. Chicken is the first 49 agricultural animal to have a sequenced genome (1), with a description of the protein-50 coding genes in the genome. Understanding the biological role of annotated gene 51 products, i.e., proteins require a description of their biological function. Like other non-52 model agricultural organisms, the current annotation of the protein-coding genes in the 53 chicken genome relies on computational predictions based on sequence similarity, 54 based on the ortholog conjecture that postulates functional similarity of orthologous 55 genes (2, 3). The dynamic response, regulation, and modification of the genome 56 ultimately governs complex phenotypes. The availability of the chicken genome 57 expedites knowledge discovery using genomics methodologies. A compendium of 58 omics approaches such as transcriptomics, proteomics, or metabolomics enables the 59 measurement of the genome-scale response of chicken at the RNA, protein, and 60 metabolite levels, respectively, to identify molecular mechanisms responsive to biotic 61 and abiotic perturbations. Several post-transcriptional regulatory mec...

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Salmonella enterica Typhimurium infection causes metabolic changes in chicken muscle involving AMPK, fatty acid and insulin/mTOR signaling

Cited by 59 publications

References 40 publications

Combined CpG and poly I:C stimulation of monocytes results in unique signaling activation not observed with the individual ligands

Combined CpG and poly I:C stimulation of monocytes results in unique signaling activation not observed with the individual ligands

Kinome Analysis of Honeybee (Apis mellifera L.) Dark-Eyed Pupae Identifies Biomarkers and Mechanisms of Tolerance to Varroa Mite Infestation

An atlas of the catalytically active liver and spleen kinases in chicken identified by chemoproteomics

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