scholarly journals Differential Proteome Analysis of Hybrid Bamboo (Bambusa pervariabilis × Dendrocalamopsis grandis) Under Fungal Stress (Arthrinium phaeospermum)

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Shujiang Li ◽  
Xinmei Fang ◽  
Shan Han ◽  
Tianhui Zhu ◽  
Hanmingyue Zhu

AbstractIn this study, TMT (tandem mass tag)-labeled quantitative protein technology combined with LC–MS/MS (liquid chromatography-mass spectrometry/mass spectrometry) was used to isolate and identify the proteins of the hybrid bamboo (Bambusa pervariabilis × Dendrocalamopsis grandis) and the bamboo inoculated with the pathogenic fungi Arthrinium phaeospermum. A total of 3320 unique peptide fragments were identified after inoculation with either A. phaeospermum or sterile water, and 1791 proteins were quantified. A total of 102 differentially expressed proteins were obtained, of which 66 differential proteins were upregulated and 36 downregulated in the treatment group. Annotation and enrichment analysis of these peptides and proteins using the GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) databases with bioinformatics software showed that the differentially expressed protein functional annotation items were mainly concentrated on biological processes and cell components. The LC–PRM/MS (liquid chromatography-parallel reaction monitoring/mass spectrometry) quantitative analysis technique was used to quantitatively analyze 11 differential candidate proteins obtained by TMT combined with LC–MS/MS. The up–down trend of 10 differential proteins in the PRM results was consistent with that of the TMT quantitative analysis. The coincidence rate of the two results was 91%, which confirmed the reliability of the proteomic results. Therefore, the differentially expressed proteins and signaling pathways discovered here may be the further concern for the bamboo-pathogen interaction studies.

Metabolites ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 166 ◽  
Author(s):  
Qianqian He ◽  
Xinmei Fang ◽  
Tianhui Zhu ◽  
Shan Han ◽  
Hanmingyue Zhu ◽  
...  

Bambusa pervariabilis McClure × Dendrocalamopsis grandis (Q.H.Dai & X.l.Tao ex Keng f.) Ohrnb. blight is a widespread and dangerous forest fungus disease, and has been listed as a supplementary object of forest phytosanitary measures. In order to study the control of B. pervariabilis × D. grandis blight, this experiment was carried out. In this work, a toxin purified from the pathogen Arthrinium phaeospermum (Corda) Elli, which causes blight in B. pervariabilis × D. grandis, with homologous heterogeneity, was used as an inducer to increase resistance to B. pervariabilis × D. grandis. A functional analysis of the differentially expressed proteins after induction using a tandem mass tag labeling technique was combined with mass spectrometry and liquid chromatography mass spectrometry in order to effectively screen for the proteins related to the resistance of B. pervariabilis × D. grandis to blight. After peptide labeling, a total of 3320 unique peptides and 1791 quantitative proteins were obtained by liquid chromatography mass spectrometry analysis. Annotation and enrichment analysis of these peptides and proteins using the Gene ontology and Kyoto Encyclopedia of Genes and Genomes databases with bioinformatics software show that the differentially expressed protein functional annotation items are mainly concentrated on biological processes and cell components. Several pathways that are prominent in the Kyoto Encyclopedia of Genes and Genomes annotation and enrichment include metabolic pathways, the citrate cycle, and phenylpropanoid biosynthesis. In the Protein-protein interaction networks four differentially expressed proteins-sucrose synthase, adenosine triphosphate-citrate synthase beta chain protein 1, peroxidase, and phenylalanine ammonia-lyase significantly interact with multiple proteins and significantly enrich metabolic pathways. To verify the results of tandem mass tag, the candidate proteins were further verified by parallel reaction monitoring, and the results were consistent with the tandem mass tag data analysis results. It is confirmed that the data obtained by tandem mass tag technology are reliable. Therefore, the differentially expressed proteins and signaling pathways discovered here is the primary concern for subsequent disease resistance studies.


2020 ◽  
Vol 13 ◽  
Author(s):  
Ka Wan Li ◽  
Miguel A. Gonzalez-Lozano ◽  
Frank Koopmans ◽  
August B. Smit

Mass spectrometry is the driving force behind current brain proteome analysis. In a typical proteomics approach, a protein isolate is digested into tryptic peptides and then analyzed by liquid chromatography–mass spectrometry. The recent advancements in data independent acquisition (DIA) mass spectrometry provide higher sensitivity and protein coverage than the classic data dependent acquisition. DIA cycles through a pre-defined set of peptide precursor isolation windows stepping through 400–1,200 m/z across the whole liquid chromatography gradient. All peptides within an isolation window are fragmented simultaneously and detected by tandem mass spectrometry. Peptides are identified by matching the ion peaks in a mass spectrum to a spectral library that contains information of the peptide fragment ions' pattern and its chromatography elution time. Currently, there are several reports on DIA in brain research, in particular the quantitative analysis of cellular and synaptic proteomes to reveal the spatial and/or temporal changes of proteins that underlie neuronal plasticity and disease mechanisms. Protocols in DIA are continuously improving in both acquisition and data analysis. The depth of analysis is currently approaching proteome-wide coverage, while maintaining high reproducibility in a stable and standardisable MS environment. DIA can be positioned as the method of choice for routine proteome analysis in basic brain research and clinical applications.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jing-Hua Zhang ◽  
Yue-Jia Shao ◽  
Zhen Hui ◽  
Su-Lei Wang ◽  
Chi Huang ◽  
...  

Abstract Background Stroke has always been a major threat worldwide but is most severe in China, with 2.5 million new stroke cases each year and 7.5 million stroke survivors, placing a heavy burden on the social and national health care systems. Zhishi Rhubarb Soup (ZRS) is a traditional Chinese medicine (TCM) that has been used clinically for many years in China. To explore the potential mechanism of ZRS in the treatment of stroke, liquid chromatography with mass spectrometry (LC–MS) was performed. Methods In this study, a quantitative proteomic method with LC–MS was used to analyse the proteomic differences between MACO samples treated with ZRS and those without ZRS treatment. Results Liquid chromatography with mass spectrometry (LC–MS) analysis led to the identification of 35,006 peptides, with 5160.0 proteins identified and 4094.0 quantified. Significantly differentially expressed proteins were identified through data analysis, and the difference was found to be more than 1.2 times (P < 0.05). The Gene Ontology (GO) analysis provided a summary of the dysregulated protein expression in the biological process (BP), cell component (CC), and molecular function (MF) categories. Proteins related to brain repair, including BDNF, IL-10, IL-6, and TGF-β, were found to change significantly, partially demonstrating the effectiveness of ZRS to attenuate tissue injury. Conclusion In this study, LC–MS/MS was performed to assess the effects of ZRS on differentially expressed proteins in rats with cerebral infarction. These promising results could help to improve the understanding of the effects of drugs on stroke.


2012 ◽  
Vol 26 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Nai-Jun Fan ◽  
Chun-Fang Gao ◽  
Chang-Song Wang ◽  
Jing-Jing Lv ◽  
Guang Zhao ◽  
...  

Despite the wide range of available colorectal cancer (CRC) screening tests, less than 50% of cases are detected at early stages. However, the identification of differentially expressed proteins or novel protein biomarkers in CRC may have some utility and, ultimately, improve patient care and survival. Proteomics combined with mass spectroscopy and liquid chromatography are emerging as powerful tools that have led to the discovery of potential markers in cancer biomarker discovery in several types of cancers. This article describes a novel technology that uses isotopic reagents to tag selected proteins that show a consistent pattern of differential expression in CRC.OBJECTIVE: To identify and validate potential biomarkers of colorectal adenocarcinoma using a proteomic approach.METHODS: Multidimensional liquid chromatography/mass spectrometry was used to analyze biological samples labelled with isobaric mass tags for relative and absolute quantitation to identify differentially expressed proteins in human colorectal adenocarcinoma and paired normal mucosa for the discovery of cancerous biomarkers. Cancerous and noncancerous samples were compared using online and offline separation. Protein identification was performed using mass spectrometry. The downregulation of gelsolin protein in colorectal adenocarcinoma samples was confirmed by Western blot analysis and validated using immunohistochemistry.RESULTS: A total of 802 nonredundant proteins were identified in colorectal adenocarcinoma samples, 82 of which fell outside the expression range of 0.8 to 1.2, and were considered to be potential cancer-specific proteins. Immunohistochemistry revealed a complete absence of gelsolin expression in 86.89% of samples and a reduction of expression in 13.11% of samples, yielding a sensitivity of 86.89% and a specificity of 100% for distinguishing colorectal adenocarcinoma from normal tissue.CONCLUSIONS: These findings suggest that decreased expression of gelsolin is a potential biomarker of colorectal adenocarcinoma.


2020 ◽  
Author(s):  
Huizhen Li ◽  
Nan Shen ◽  
Lin Mao ◽  
Meijia Chen ◽  
Xuan Zhou ◽  
...  

Abstract Background: Adolescent idiopathic scoliosis (AIS) is the most common spine deformity, but biomarkers for its condition are lacking. Rhodopsin A (RhoA) and voltage-dependent anion-selective channel 1 (VDAC1) in plasma exosomes were defined as differentially expressed proteins between AIS patients and healthy controls. The purpose of this study was to assess exosomes as biomarkers for the occurrence and progression of AIS. Methods:We recruited 10 AIS patients and 8 healthy controls to detect expressed proteins from plasma by liquid chromatography coupled to tandem mass spectrometry. Plasma samples were analyzed by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Pathway analysis identified that the VDAC1 and RhoA proteins were alterations expressed in the AIS patients, with the most different alteration was found in extracellular exosomes. Ultracentrifugation was carried out to isolate exosomes from plasma. Verification of the most differentially expressed protein was accessed by Western blot analysis and bioinformatics analysis was performed to predict the pathway of it.Results: 42 of significantly differentially expressed proteins were found in all subjects, and 17 proteins had significant difference. The differentially expressed proteins were enriched in plasma exosomes, and some proteins, such as FN1, were upregulated and others, such as VDAC1, RhoA and AHNAK, were downregulated in the AIS patients. Furthermore, ultracentrifugation was carried out to isolate exosomes from plasma, and RhoA and VDAC1 proteins in plasma exosomes were verified to downregulate by western blot. KEGG signaling pathways were used to predict potential pathways involved in the RhoA and VDAC1 proteins in the AIS patients. We found that the RhoA protein influences AIS probably through the chemokine signaling pathway, platelet activation and cAMP signaling pathway, and the VDAC1 protein is a key factor that participates in the necroptosis pathway, acting on the development of AIS.Conclusions: Consequently, this study mapped a profile of plasma protein, found the differentially expressed protein in AIS, which indicating that plasma exosomes, as a novel biomarker with high specificity, could be associated with the severity of AIS.


Viruses ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1236
Author(s):  
Qiangyun Ai ◽  
Xiwei Lin ◽  
Hangao Xie ◽  
Bin Li ◽  
Ming Liao ◽  
...  

In 2018, African swine fever broke out in China, and the death rate after infection was close to 100%. There is no effective and safe vaccine in the world. In order to better characterize and understand the virus–host-cell interaction, quantitative proteomics was performed on porcine alveolar macrophages (PAM) infected with ASFV through tandem mass spectrometry (TMT) technology, high-performance liquid chromatography (HPLC), and mass spectrometry (MS). The proteome difference between the simulated group and the ASFV-infected group was found at 24 h. A total of 4218 proteins were identified, including 306 up-regulated differentially expressed proteins and 238 down-regulated differentially expressed proteins. Western blot analysis confirmed changes in the expression level of the selected protein. Pathway analysis is used to reveal the regulation of protein and interaction pathways after ASFV infection. Functional network and pathway analysis can provide an insight into the complexity and dynamics of virus–host cell interactions. Further study combined with proteomics data found that ARG1 has a very important effect on ASFV replication. It should be noted that the host metabolic pathway of ARG1-polyamine is important for virus replication, revealing that the virus may facilitate its own replication by regulating the level of small molecules in the host cell.


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