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 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 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 ◽  
Sugar Metabolism ◽  
Amino Sugar ◽  
Apple Replant Disease ◽  
Kegg Pathways ◽  
Itraq Analysis ◽  
Before And After ◽  
Functional Pathway

Abstract 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. 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. 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 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 46 up-regulated proteins were mainly distributed in amino sugar, nucleotide sugar metabolism, glycolysis/ gluconeogenesis and phagosome pathways. 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 Circular RNA Expression Profiling Identifies Prostate Cancer- Specific circRNAs in Prostate Cancer

2018 ◽  
Vol 50 (5) ◽  
pp. 1903-1915 ◽  
Author(s):  
Qianlin Xia ◽  
Tao Ding ◽  
Guihong Zhang ◽  
Zehuan Li ◽  
Ling Zeng ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Polymerase Chain Reaction Analysis ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
High Morbidity ◽  
Qrt Pcr ◽  
Diagnosis And Prognosis ◽  
Novel Biomarkers ◽  
Rna Expression Profiling

Background/Aims: Prostate cancer (PCa) is one of the main cancers that damage males’ health severely with high morbidity and mortality, but there is still no ideal molecular marker for the diagnosis and prognosis of prostate cancer. Methods: To determine whether the differentially expressed circRNAs in prostate cancer can serve as novel biomarkers for prostate cancer diagnosis, we screened differentially expressed circRNAs using SBC-ceRNA array in 4 pairs of prostate tumor and paracancerous tissues. A circRNA-miRNA-mRNA regulatory network for the differential circRNAs and their host genes was constructed by Cytoscape3.5.1 software. Quantitative real-time polymerase chain reaction analysis (qRT-PCR) was performed to confirm the microarray data. Results: We found 1021 differentially expressed circRNAs in PCa tumor using SBC-ceRNA array and confirmed the expression of circ_0057558, circ_0062019 and SLC19A1 in PCa cell lines and tumor tissues through qRT-PCR analysis. We demonstrated that combination of PSA level and two differentially expressed circRNAs showed significantly increased AUC, sensitivity and specificity (0.938, 84.5% and 90.9%, respectively) than PSA alone (AUC of serum PSA was 0.854). Moreover, circ_0057558 was correlated positively with total cholesterol. The functional network of circRNA-miRNA-mRNA analysis showed that circ_0057558 and circ_0034467 regulated miR-6884, and circ_0062019 and circ_0060325 regulated miR-5008. Conclusion: Our results demonstrated that differentially expressed circRNAs (circ_0062019 and circ_0057558) and host gene SLC19A1 of circ_0062019 could be used as potential novel biomarkers for prostate cancer.

scholarly journals Transcriptomic Analysis of Dark-Induced Senescence in Bermudagrass (Cynodon dactylon)

Plants ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 614
Author(s):  
Jibiao Fan ◽  
Yanhong Lou ◽  
Haiyan Shi ◽  
Liang Chen ◽  
Liwen Cao
Keyword(s):  
Leaf Senescence ◽  
Plant Hormone ◽  
Bioinformatics Analysis ◽  
Cynodon Dactylon ◽  
Differential Expression Analysis ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Aesthetic Quality ◽  
Qrt Pcr

Leaf senescence induced by prolonged light deficiency is inevitable whenever turfgrass is cultivated in forests, and this negatively influences the survival and aesthetic quality of the turfgrass. However, the mechanism underlying dark-induced senescence in turfgrass remained obscure. In this study, RNA sequencing was performed to analyze how genes were regulated in response to dark-induced leaf senescence in bermudagrass. A total of 159,207 unigenes were obtained with a mean length of 948 bp. The differential expression analysis showed that a total of 59,062 genes, including 52,382 up-regulated genes and 6680 down-regulated genes were found to be differentially expressed between control leaves and senescent leaves induced by darkness. Subsequent bioinformatics analysis showed that these differentially expressed genes (DEGs) were mainly related to plant hormone (ethylene, abscisic acid, jasmonic acid, auxin, cytokinin, gibberellin, and brassinosteroid) signal transduction, N-glycan biosynthesis, and protein processing in the endoplasmic reticulum. In addition, transcription factors, such as WRKY, NAC, HSF, and bHLH families were also responsive to dark-induced leaf senescence in bermudagrass. Finally, qRT-PCR analysis of six randomly selected DEGs validated the accuracy of sequencing results. Taken together, our results provide basic information of how genes respond to darkness, and contribute to the understanding of comprehensive mechanisms of dark-induced leaf senescence in turfgrass.

scholarly journals Differential Transcription Profiling in Bone Marrow Mononuclear Cells Between Myasthenia Gravis Patients With or Without Thymoma

2021 ◽  
Author(s):  
Jingqun Tang ◽  
Ziming Ye ◽  
Yi Liu ◽  
Mengxiao Zhou ◽  
chao qin
Keyword(s):  
Stem Cells ◽  
Bone Marrow ◽  
Myasthenia Gravis ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Mononuclear Cells ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Bone Marrow Mononuclear Cells ◽  
Qrt Pcr

Abstract PurposeDefective stem cells have been recognized as being associated with autoimmune diseases, such as systemic lupus erythematosus, rheumatoid arthritis, autoimmune cytopenias and myasthenia gravis (MG). However, the differential gene expression profile of bone marrow mononuclear cells (BMMCs) and the molecular mechanisms underlying MG pathogenesis have not been fully elucidated. Therefore, we investigated the abnormal expression and potential roles and mechanisms of mRNAs in BMMCs among patients with MG with or without thymoma.MethodsTranscription profiling of BMMCs in patients with MG without thymoma (M2) and patients with thymoma-associated MG (M1) was undertaken by using high-throughput RNA sequencing (RNA-Seq), and disease-related differentially expressed genes were validated by quantitative real-time polymerase chain reaction (qRT-PCR).ResultsRNA-Seq demonstrated 60 significantly upregulated and 65 significantly downregulated genes in M2 compared with M1. Five disease-related differentially expressed genes were identified and validated by qRT-PCR analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to predict the functions of aberrantly expressed genes. Recombination activating 1 (RAG1), RAG2, BCL2-like 11, phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha isoform and repressor element-1-silencing transcription factor might play roles in MG pathogenesis involving the primary immunodeficiency signaling pathway, signaling pathways regulating pluripotency of stem cells and forkhead box O signaling pathway.ConclusionThe aberrantly expressed genes of BMMCs in M1 or M2 patients demonstrate the underlying mechanisms governing the pathogenesis of MG.

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 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 LncRNAs Function as Critical Metabolic Regulators in yak Liver by Integrative Transcriptome Analysis

2020 ◽  
Author(s):  
Wei Xia ◽  
Fang Fu ◽  
Li Wang ◽  
Xiaolin Luo ◽  
Jiuqiang Guan
Keyword(s):  
Tibetan Plateau ◽  
Correlation Analysis ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Rna Seq ◽  
Qrt Pcr ◽  
The People ◽  
Plateau Area ◽  
Metabolic Regulators

Abstract Background: The yak (Bos grunniens) is a crucial resource to supply meat and milk to the people localized in Qinghai-Tibetan plateau area. To identify lncRNAs regulating metabolism in yak, this work adopted transcriptome method to simultaneously profile mRNAs and lncRNAs of liver in yak under three representative age (LD: Liver 1 Day, LM: Liver 15 Months, LY: Liver 5 Years) conditions.Result: Of 288 differentially expressed lncRNAs, function-oriented selection yield 88 regulated metabolically related lncRNAs that were differentially expressed at least two age conditions. These lncRNAs predicted by lncRNA-mRNA correlation analysis to function in various aspects of metabolism. Selected regulations of liver metabolically related lncRNAs were further verified by qRT-PCR.Conclusion: Combining high throughput RNA-seq screening screens, bioinformatics predictions, lncRNA-mRNA correlation analysis and qRT-PCR analysis, this study supports that a class of lncRNAs function as important metabolic regulators and establishes a foundation for further investigating the role of lncRNAs in yak.

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