scholarly journals Proteomics of E.coli Nissle 1917 in Responce to Cocos nucifera sap and Wine

2015 ◽  
Vol 41 ◽  
pp. 1-223
Author(s):  
K. Chandrasekhar ◽  
J. Pramoda Kumari
Keyword(s):  
Cocos Nucifera ◽  
Protein Profile ◽  
Differentially Expressed ◽  
Viral Gene ◽  
Transferase Activity ◽  
Differentially Expressed Proteins ◽  
Phosphotransferase System ◽  
Treated Sample ◽  
Lyase Activity ◽  
Chemical Characters

In the present study, we described the protein profile experimentally by 2D-PAGE and MALDI analysis to understand the stress mechanisms of cocoti sap and wine on E.coli Nissle 1917. We isolated one newly expressed protein from cocoti wine treated gel which is not present in both control and cocoti sap treated sample i.e. P21 prophage-derived head-stabilizing proteinVG03_ECOL6 (3n1) also called as Head protein gp3. This protein mainly activities related to the viral life cycle. It helps to attach the viral gene into host. The growth rate was delayed in cocoti wine treated E.coli Nissle 1917 when compared to control and cocoti sap treated samples. Stress mechanism induce many proteins they are involved in metabolic process, hydrolase activity, lyase activity, quinone binding, phosphotransferase system, carbohydrate metabolism, DNA binding, DNA repair, transferase activity, oxidoreductase, purine metabolism, transcription anti-termination, transcription regulation and other related activities.We proved that the predicted protein structure quality, resolution, density and error plot values by QMEAN analysis. Based on these results, only two differentially expressed proteins under sap stress showed that the significant results, which were N-acetylgalactosamine-specific phosphotransferase enzyme IIB component 1, PTPB1_ECOLI and DinI-like protein Z3305/ECs2939 in prophage CP-933VDINI1_ECO57. In case of wine stress, the differentially expressed proteins were Transcription anti-termination protein RFAH- ECO57 NusA and PUR7-eco24- phosphoribosylamidazole-succinocarboxamide synthase showed significant results. ProtParam analysis indicating that the multiple physico-chemical characters of differentially expressed proteins were differed and compared. The phylogenetic tree represents the relationship in-between the differentially expressed proteins, were showed siblings (related) as well as monophytic clade.

scholarly journals ITRAQ-based quantitative proteomic analysis of Fusarium moniliforme (Fusarium verticillioides) in response to Phloridzin inducers

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Rong Zhang ◽  
Weitao Jiang ◽  
Xin Liu ◽  
Yanan Duan ◽  
Li Xiang ◽  
...  
Keyword(s):  
Fusarium Moniliforme ◽  
Abiotic Factors ◽  
Fusarium Verticillioides ◽  
Protein Profile ◽  
Sugar Metabolism ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Differentially Expressed Proteins ◽  
Apple Replant Disease ◽  
Qrt Pcr

Abstract Background Apple replant disease (ARD) has been reported from all major fruit-growing regions of the world, and is often caused by biotic factors (pathogen fungi) and abiotic factors (phenolic compounds). In order to clarify the proteomic differences of Fusarium moniliforme under the action of phloridzin, and to explore the potential mechanism of F. moniliforme as the pathogen of ARD, the role of Fusarium spp. in ARD was further clarified. Methods In this paper, the quantitative proteomics method iTRAQ analysis technology was used to analyze the proteomic differences of F. moniliforme before and after phloridzin treatment. The differentially expressed protein was validated by qRT-PCR analysis. Results A total of 4535 proteins were detected, and 293 proteins were found with more than 1.2 times (P< 0.05) differences. In-depth data analysis revealed that 59 proteins were found with more than 1.5 times (P< 0.05) differences, and most proteins were consistent with the result of qRT-PCR. Differentially expressed proteins were influenced a variety of cellular processes, particularly metabolic processes. Among these metabolic pathways, a total of 8 significantly enriched KEGG pathways were identified with at least 2 affiliated proteins with different abundance in conidia and mycelium. Functional pathway analysis indicated that up-regulated proteins were mainly distributed in amino sugar, nucleotide sugar metabolism, glycolysis/ gluconeogenesis and phagosome pathways. Conclusions This study is the first to perform quantitative proteomic investigation by iTRAQ labeling and LC-MS/MS to identify differentially expressed proteins in F. moniliforme under phloridzin conditions. The results confirmed that F. moniliforme presented a unique protein profile that indicated the adaptive mechanisms of this species to phloridzin environments. The results deepened our understanding of the proteome in F. moniliforme in response to phloridzin inducers and provide a basis for further exploration for improving the efficiency of the fungi as biocontrol agents to control ARD.

scholarly journals Differential Protein Abundance in Dark-Cutting and Normal-pH Beef

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
F. Kiyimba ◽  
S. Hartson ◽  
J. Rogers ◽  
G. Mafi ◽  
D. VanOverbeke ◽  
...  
Keyword(s):  
Protein Expression ◽  
Pathway Analysis ◽  
Solid Phase ◽  
Muscle Protein ◽  
Expression Profiles ◽  
Protein Profile ◽  
Differentially Expressed ◽  
Cutting Condition ◽  
Differentially Expressed Proteins ◽  
Differential Protein

ObjectivesDark-cutting beef is a meat quality defect in which meat does not display the marketable bright-red color. Although previous studies have indicated that the ultimate pH of dark-cutting beef is greater than normal, the mechanistic basis for the occurrence is not clear. Various mitochondrial and glycolytic enzymes/proteins are involved in muscle metabolism and lowering of pH. However, limited knowledge is currently available on the muscle protein profile differences between dark-cutting and normal-pH beef. The objective of the current study was to identify proteins related to the development of the dark-cutting condition by comparing the protein expression differences between dark-cutting and normal-pH beef.Materials and MethodsDark-cutting and normal-pH beef samples were collected from six (n = 6) different animals after slaughter. Tissue samples (0.5 g) were digested in 5 mL of lysis buffer. Tissue lysates were homogenized, boiled, sonicated using a bioruptor and centrifuged at 10,000 g for 10 min. Samples were digested with trypsin/Lys-C overnight at 37°C, after which additional 2 µg/mL of protease was added and digestion was continued for another 8h. The resulting trypsinolytic peptides were acidified to 1% trifluoroacetic acid and purified by solid phase extraction with C18 affinity media. Protein expression profiles of both dark-cutting and normal-pH beef samples were determined using LC-MS/MS mass spectrometry-based proteomics. Collected raw data instrument files were searched against a bovine proteome database of 23,968 bovine proteome sequences using MaxQuant (V.1.5.3.8). Differential protein expression analysis was done in Perseus (V.1.5.1.3). Ingenuity pathway analysis (IPA) was utilized to determine the significant pathways of the differentially expressed proteins in dark-cutting and normal-pH beef. Gene ontology enrichment pathway analysis was performed to determine the main functions of the differentially expressed proteins in dark-cutting and normal-pH beef identified in our samples.ResultsMass spectrometry analysis identified 1148 proteins, and 97 of these proteins were differentially expressed between normal-pH and dark-cutting beef (P < 0.05). Fold change of 1.5 was observed for 29 proteins. Dark-cutting beef had 19 abundant proteins, while normal-pH beef had 10 abundant proteins. The majority of the upregulated proteins in dark-cutting beef were involved in mitochondrial functioning and metabolism, while the majority of the downregulated proteins were important in glycogen degradation, calcium signaling, α-adrenergic signaling, n-NOS-signaling and the proteasome pathways.ConclusionThe results identify new protein biomarkers associated with dark-cutting and suggest new mechanistic explanations for the dark-cutting phenotype.

scholarly journals Proteomic Study of Hypothalamus in Pigs Exposed to Heat Stress

2020 ◽  
Author(s):  
Tianyue Yu ◽  
Yan-Hong Yong ◽  
Jun-yu Li ◽  
Biao Fang ◽  
Can-ying Hu ◽  
...  
Keyword(s):  
Body Weight ◽  
Heat Stress ◽  
Regulatory Networks ◽  
Protein Profile ◽  
Absolute Quantification ◽  
The Body ◽  
Differentially Expressed ◽  
Farm Animals ◽  
Differentially Expressed Proteins ◽  
The Brain

Abstract Background : With evidence of warming climates, it is important to understand the effects of heat stress in farm animals in order to minimize production losses. Studying the changes in the brain proteome induced by heat stress may aid in understanding how heat stress affects brain function. The hypothalamus is a critical region in the brain that controls the pituitary gland, which is responsible for the secretion of several important hormones. In this study, we examined the hypothalamic protein profile of 10 pigs (15 ± 1 kg body weight), with five subjected to heat stress (35 ± 1 °C; relative humidity = 90%) and five acting as controls (28 ± 3°C; RH = 90%). Result: The isobaric tags for relative and absolute quantification (iTRAQ) analysis of the hypothalamus identified 1710 peptides corresponding to 360 proteins, including 295 differentially expressed proteins (DEPs), 148 of which were up-regulated and 147 down-regulated, in heat-stressed animals. The Ingenuity Pathway Analysis (IPA) software predicted 30 canonical pathways, four functional groups, and four regulatory networks of interest. The DEPs were mainly concentrated in the cytoskeleton of the pig hypothalamus during heat stress. Conclusions: In this study, heat stress significantly increased the body temperature and reduced daily gain of body weight in pigs. Furthermore, we identified 295 differentially expressed proteins, 147 of which were down-regulated and 148 up-regulated in hypothalamus of heat stressed pigs. The IPA showed that the DEPs identified in the study are involved in cell death and survival, cellular assembly and organization, and cellular function and maintenance, in relation to neurological disease, metabolic disease, immunological disease, inflammatory disease, and inflammatory response. We hypothesize that a malfunction of the hypothalamus may destroy the host physical and immune function, resulting in decreased growth performance and immunosuppression in heat stressed pigs.

scholarly journals Proteomic Profile Mapping and Differential Expression of Protein in Ovarian Cancer

2021 ◽  
Vol 50 (12) ◽  
pp. 3667-3681
Author(s):  
Ambreen Tauseef ◽  
Asima Karim ◽  
Gulfam Ahmad ◽  
Qurratulann Afza Gardner ◽  
Muhammad Waheed Akhtar
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Ovarian Tissue ◽  
Protein Profile ◽  
Protein Profiling ◽  
Differentially Expressed ◽  
P Value ◽  
Differentially Expressed Proteins ◽  
Tissue Samples ◽  
Novel Biomarkers

This study aimed to characterize differentially expressed proteins in malignant ovarian tissue to find out potential novel biomarkers in ovarian cancer (OC). We enrolled 20 ovarian cancer patients (40-65 years) and an equal number of age-matched healthy women to get malignant and healthy ovarian tissue samples for protein extraction and quantification after tissue lysis. The protein profile was analyzed using two-dimensional gel electrophoresis followed by MALDI-TOF mass spectrometry. Based on the information thus obtained, the proteins were identified using the relevant software and protein databank to analyze the malignant and non-malignant ovarian tissue samples (n = 20/group). In this proteomic analysis of the ovarian tissue, 112 proteins were detected. Based on a minimum of ≥ 1.5-fold expression difference (p-value ≤ 0.05; FDR ≤ 0.05 and PMF ≥ 79), 17 proteins were found to be upregulated while 27 were downregulated in the malignant ovarian tissue. Six of these proteins have not been previously reported in ovarian cancer. Out of these, three are upregulated while the other three are downregulated. The upregulated proteins are centrosomal protein of 290 kDa (Cep290), uncharacterized protein C1orf109 (C1orf109) and GTPase-activating Rap/Ran-GAP domain-like protein 3 (GARNL3), and the three downregulated proteins identified are actin-related protein 3 (ARP3), cytosolic carboxypeptidase 3 (AGBL3) and NADH dehydrogenase [ubiquinone] 1 alpha subcomplex subunit 10 (NDUFA10). This proteomic mapping not only provides data on protein profiling of ovarian cancer in Pakistani population for the first time but also reports six novel differentially expressed proteins, which have not been previously reported in ovarian cancer patients. They may serve as potential novel biomarkers after further validation for early diagnosis and prognosis of ovarian cancer. It also provides additional data to improve existing knowledge of already reported protein ovarian cancer biomarkers.

scholarly journals Growth, Stoichiometry, and Palatability of Suaeda salsa From Different Habitats Are Demonstrated by Differentially Expressed Proteins and Their Enriched Pathways

2021 ◽  
Vol 12 ◽  
Author(s):  
Ye Song ◽  
Jiayuan Liu ◽  
Jianzhong Wang ◽  
Fude Liu
Keyword(s):  
Secondary Metabolites ◽  
Yellow River ◽  
Differentially Expressed ◽  
Suaeda Salsa ◽  
Transferase Activity ◽  
Differentially Expressed Proteins ◽  
Intertidal Habitat ◽  
Edible Plant ◽  
Phenylpropanoid Biosynthesis ◽  
Membrane Bound

Suaeda salsa (L.) Pall., a medicinal and edible plant, has green and red-violet ecotypes that exhibit different phenotypes, tastes, and growth characteristics. However, few studies have focused on these differences from the aspect of differentially expressed proteins under the conditions of different habitats in the field. In this study, two ecotypes of S. salsa from the intertidal (control) and supratidal (treatment) habitats of the Yellow River Delta were selected. A total of 30 individual leaves were mixed into six samples (three biological replicates for each) and subjected to protein extraction by using tandem mass tag-labeled quantitative proteomic technology. A total of 4771 proteins were quantitated. They included 317 differentially expressed proteins (2.0-fold change, p &lt; 0.05), among which 143 were upregulated and the remaining 174 were downregulated. These differentially expressed proteins mainly participated in biological processes, such as response to stimulus, stress, and biotic stimulus; in molecular functions, such as methyltransferase activity, transferase activity, one-C group transfer, and tetrapyrrole binding; and in cell components, such as non-membrane-bound organelles, intracellular non-membrane-bound organelles, chromosomes, and photosystems. The differentially expressed proteins were mainly enriched in eight pathways, among which the ribosome, phenylpropanoid biosynthesis, and photosynthesis pathways had higher protein numbers than the other pathways. The upregulation of differentially expressed proteins related to the ribosome and photosynthesis increased the relative growth rate and reduced the N:P ratio of S. salsa from the supratidal habitat, thereby improving its palatability. By contrast, most of the differentially expressed proteins involved in phenylpropanoid biosynthesis were downregulated in S. salsa from the intertidal habitat. This result indicated that S. salsa from the intertidal habitat might accumulate flavonoids, lignin, and other secondary metabolites in its leaves that confer a bitter taste. However, these secondary metabolites might increase the medicinal value of S. salsa from the intertidal habitat. This work could provide a theoretical basis and data support for the sustainable and high-value utilization of medicinal and edible plants from coastal wetlands.

scholarly journals INDUCED PROTEIN PROFILE CHANGES IN ARSENATE TOLERANT AND SENSITIVE PSEUDOMONAS FLUORESCENS STRAINS

2007 ◽  
Vol 15 (4) ◽  
pp. 221-226 ◽  
Author(s):  
Stefan Shilev ◽  
Almudena Fernández López ◽  
María Sancho Prieto ◽  
Enrique David Sancho Puebla
Keyword(s):  
Plant Growth ◽  
Pseudomonas Fluorescens ◽  
Toxic Metals ◽  
Statistical Significance ◽  
Protein Profile ◽  
Polyacrylamide Gel Electrophoresis ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Tolerant Strain ◽  
Metabolic Versatility

Pseudomonas fluorescens are gram‐negative, motile, rod‐shaped bacteria known for their metabolic versatility. Many strains of this species possess excellent capability to colonize plant roots, promoting plant growth in soils contaminated with toxic metals. P. fluorescens biotype F is a strain tolerant to arsenic which had been isolated previously from soil contaminated with arsenic and other toxic metals and characterized as a promoter of plant growth and accumulation of arsenic. In the present work we studied the protein profile of this strain together with the profile of a sensitive P. fluorescens CECT 378 in the presence and absence of sodium arsenate using two‐dimensional polyacrylamide gel electrophoresis (2D‐PAGE). The gels were analyzed by PDQuest, while the statistical significance was proved by ANOVA. We found 9 differentially expressed proteins in the tolerant strain ‐ 4 new proteins, 4 upregulated proteins and 1 downregulated proteins in the presence of 1000 ppm As. In the non‐tolerant strain there were 7 differentially expressed proteins ‐ 1 new protein, 3 upregulated proteins and 3 downregulated proteins. The identification of the proteins with MALDI‐TOF is in progress.

scholarly journals ITRAQ-based quantitative proteomic analysis of Fusarium moniliforme (Fusarium verticillioides) in response to Phloridzin inducers

2020 ◽  
Author(s):  
Rong Zhang ◽  
Weitao Jiang ◽  
Xin Liu ◽  
Yanan Duan ◽  
Li Xiang ◽  
...  
Keyword(s):  
Fusarium Moniliforme ◽  
Abiotic Factors ◽  
Fusarium Verticillioides ◽  
Protein Profile ◽  
Sugar Metabolism ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Differentially Expressed Proteins ◽  
Apple Replant Disease ◽  
Qrt Pcr

Abstract Background: Apple replant disease (ARD) has been reported from all major fruit-growing regions of the world, and is often caused by biotic factors (pathogen fungi) and abiotic factors (phenolic compounds). In order to clarify the proteomic differences of Fusarium moniliforme under the action of phloridzin, and to explore the potential mechanism of F. moniliforme as the pathogen of ARD, the role of Fusarium spp in ARD was further clarified.Methods: In this paper, the quantitative proteomics method iTRAQ analysis technology was used to analyze the proteomic differences of F. moniliforme before and after phloridzin treatment. The differentially expressed protein was validated by qRT-PCR analysis.Results: A total of 4535 proteins were detected, and 293 proteins were found with more than 1.2 times (P<0.05) differences. In-depth data analysis revealed that 59 proteins were found with more than 1.5 times (P<0.05) differences, and most proteins were consistent with the result of qRT-PCR. Differentially expressed proteins were influenced a variety of cellular processes, particularly metabolic processes. Among these metabolic pathways, a total of 8 significantly enriched KEGG pathways were identified with at least 2 affiliated proteins with different abundance in conidia and mycelium. Functional pathway analysis indicated that up-regulated proteins were mainly distributed in amino sugar, nucleotide sugar metabolism, glycolysis/ gluconeogenesis and phagosome pathways.Conclusions: This study is the first to perform quantitative proteomic investigation by iTRAQ labeling and LC-MS/MS to identify differentially expressed proteins in F. moniliforme under phloridzin conditions. The results confirmed that F. moniliforme presented a unique protein profile that indicated the adaptive mechanisms of this species to phloridzin environments. The results deepened our understanding of the proteome in F. moniliforme in response to phloridzin inducers and provide a basis for further exploration for improving the efficiency of the fungi as biocontrol agents to control ARD.

scholarly journals Proteomic Study of Hypothalamus in Pigs Exposed to Heat Stress

2020 ◽  
Author(s):  
Tianyue Yu ◽  
Yan-Hong Yong ◽  
Jun-yu Li ◽  
Biao Fang ◽  
Can-ying Hu ◽  
...  
Keyword(s):  
Body Weight ◽  
Heat Stress ◽  
Regulatory Networks ◽  
Protein Profile ◽  
Absolute Quantification ◽  
The Body ◽  
Differentially Expressed ◽  
Farm Animals ◽  
Differentially Expressed Proteins ◽  
The Brain

Abstract Background : With evidence of warming climates, it is important to understand the effects of heat stress in farm animals in order to minimize production losses. Studying the changes in the brain proteome induced by heat stress may aid in understanding how heat stress affects brain function. The hypothalamus is a critical region in the brain that controls the pituitary gland, which is responsible for the secretion of several important hormones. In this study, we examined the hypothalamic protein profile of 10 pigs (15 ± 1 kg body weight), with five subjected to heat stress (35 ± 1 °C; relative humidity = 90%) and five acting as controls (28 ± 3°C; RH = 90%). Result: The isobaric tags for relative and absolute quantification (iTRAQ) analysis of the hypothalamus identified 1710 peptides corresponding to 360 proteins, including 295 differentially expressed proteins (DEPs), 148 of which were up-regulated and 147 down-regulated, in heat-stressed animals. The Ingenuity Pathway Analysis (IPA) software predicted 30 canonical pathways, four functional groups, and four regulatory networks of interest. The DEPs were mainly concentrated in the cytoskeleton of the pig hypothalamus during heat stress. Conclusions: In this study, heat stress significantly increased the body temperature and reduced daily gain of body weight in pigs. Furthermore, we identified 295 differentially expressed proteins, 147 of which were down-regulated and 148 up-regulated in hypothalamus of heat stressed pigs. The IPA showed that the DEPs identified in the study are involved in cell death and survival, cellular assembly and organization, and cellular function and maintenance, in relation to neurological disease, metabolic disease, immunological disease, inflammatory disease, and inflammatory response. We hypothesize that a malfunction of the hypothalamus may destroy the host physical and immune function, resulting in decreased growth performance and immunosuppression in heat stressed pigs.

Subcellular Proteomic Analysis Reveals Dysregulation in Organization of Human A549 Cells Infected with Influenza Virus H7N9

2021 ◽  
Vol 19 ◽  
Author(s):  
Lin Yin ◽  
Siyuan Liu ◽  
Huichun Shi ◽  
Yanling Feng ◽  
Yujiao Zhang ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Plasma Membrane ◽  
Protein Profile ◽  
A549 Cells ◽  
Cellular Membrane ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Human Beings ◽  
Absolute Quantitation ◽  
Junction Protein

Background: H7N9 influenza virus poses a high risk to human beings and proteomic evaluations of these infections may help to better understand its pathogenic mechanisms in human systems. Objective: To find membrane proteins related to H7N9 infection. Methods: Here, we infected primary human alveolar adenocarcinoma epithelial cells (A549) cells with H7N9 (including wild and mutant strains) and then produced enriched cellular membrane isolations which were evaluated by western blot. The proteins in these cell membrane fractions were analyzed using the isobaric Tags for Relative and Absolute Quantitation (iTRAQ) proteome technologies. Results: Differentially expressed proteins (n = 32) were identified following liquid chromatography-tandem mass spectrometry, including 20 down-regulated proteins such as CD44 antigen, and CD151 antigen, and 12 up-regulated proteins such as tight junction protein ZO-1, and prostaglandin reductase 1. Gene Ontology database searching revealed that 20 out of the 32 differentially expressed proteins were localized to the plasma membrane. These proteins were primarily associated with cellular component organization (n = 20), and enriched in the Reactome pathway of extracellular matrix organization (n = 4). Conclusion: These findings indicate that H7N9 may dysregulate cellular organization via specific alterations to the protein profile of the plasma membrane.

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