scholarly journals Effects of Long-Term Non-Pruning on Main Quality Constituents in ‘Dancong’ Tea (Camellia sinensis) Leaves Based on Proteomics and Metabolomics Analysis

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2649
Author(s):  
Yiyong Chen ◽  
Bo Zhou ◽  
Jianlong Li ◽  
Hao Tang ◽  
Lanting Zeng ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Free Amino ◽  
Single Plant ◽  
Mechanism Of Formation ◽  
Tea Leaves ◽  
Proteomics Analysis ◽  
Chlorophyll Metabolism ◽  
Special Quality ◽  
Tea Plants

‘Dancong’ tea is a famous traditional Oolong tea. In order to keep the original taste of “ancient tea trees”, most of the ’Dancong’ tea plants are planted in a single plant pattern without pruning. The objective of this study was to explore the effects of long-term non-pruning on main quality constituents in ‘Dancong’ tea. The results showed that the contents of free amino acids, chlorophylls, and floral-honey aromatic substances in tea leaves of unpruned tea plants were higher than those in every year pruned tea plants, while the catechin content in leaves of pruned tea plants was higher than that in leaves of unpruned tea plants. Quantitative proteomics analysis showed that most enzymes involved in biosynthesis of catechins were downregulated in leaves of unpruned tea plants. Five proteins involved in chlorophyll metabolism and 12 proteins related to photosynthesis were upregulated, and the results suggested that higher chlorophyll content and more efficient photosynthetic energy conversion may be important for the higher accumulation of special quality components in leaves of unpruned tea plants. The findings of this study will advance our understanding of the mechanism of formation of different metabolites in leaves of unpruned and pruned tea plants.

Quantitative Proteomics Analysis Reveals Unique But Overlapping Protein Signatures in HIV Infection

2019 ◽  
Author(s):  
Maha Al-Mozaini ◽  
Ibtihag S. Alsharif ◽  
Al-Hussain J. Alzahrani ◽  
Zakia Shinwari ◽  
Magid Halim ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Quantitative Proteomics ◽  
Proteomics Analysis ◽  
Protein Signatures

scholarly journals Quantitative Proteomics Analysis Reveals Unique but Overlapping Protein Signatures in HIV Infections

2021 ◽  
Author(s):  
Maha Al-Mozaini ◽  
Ibtihag Alsharif ◽  
Alhusain Alzahrani ◽  
Zakia Shinwari ◽  
Magid Halim ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Hiv Infections ◽  
Proteomics Analysis ◽  
Protein Signatures

HERITABILITY OF SINGLE PLANT YIELD AND INCIDENCE OF BLACK POD DISEASE IN COCOA

2007 ◽  
Vol 43 (4) ◽  
pp. 455-462 ◽  
Author(s):  
G. LOCKWOOD ◽  
F. OWUSU-ANSAH ◽  
Y. ADU-AMPOMAH
Keyword(s):  
Large Scale ◽  
Mass Selection ◽  
Single Plant ◽  
Plant Yield ◽  
Clone Selection ◽  
Level Data ◽  
Family Level ◽  
Black Pod ◽  
Black Pod Disease

Broad sense heritabilities were estimated in three long-term cocoa clone trials in Ghana, with 20, 18 and 15 entries. They were 0.15, 0.05 and 0.15 for yield in pods per plant, and 0.26, 0.19 and 0.40 for incidence of ‘bad’ pods, mostly due to black pod disease, caused by infection with Phytophthora spp. The low heritability of single plant yield, which has been known for 80 years, has been widely overlooked in cocoa research and extension, compromising the success of clone selection programmes. The heritability of the incidence of black pod disease is high enough to justify mass selection where family level data are not available. The findings will be applied in a new large-scale programme in Ghana to select clones that are high yielding in the presence of P. megakarya.

A Gel-Free Quantitative Proteomics Analysis of Factors Released From Hypoxic-Conditioned Placentae

2009 ◽  
Vol 17 (3) ◽  
pp. 247-257 ◽  
Author(s):  
Richard T. Blankley ◽  
Nicola J. Robinson ◽  
John D. Aplin ◽  
Ian P. Crocker ◽  
Simon J. Gaskell ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Proteomics Analysis

scholarly journals Quantitative proteomics analysis reveals similar release profiles following specific PAR-1 or PAR-4 stimulation of platelets

2014 ◽  
Vol 103 (1) ◽  
pp. 140-146 ◽  
Author(s):  
Thijs C. van Holten ◽  
Onno B. Bleijerveld ◽  
Patrick Wijten ◽  
Philip G. de Groot ◽  
Albert J.R. Heck ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Proteomics Analysis ◽  
Stimulation Of ◽  
Release Profiles

Quantitative proteomics analysis reveals novel insights into mechanisms of action of disulfiram (DSF)

2021 ◽  
pp. 2100031
Author(s):  
Peng Zheng ◽  
Chenglinzi Liu ◽  
Yaoqin Wu ◽  
Ruifeng Xu ◽  
Ying Chen ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Mechanisms Of Action ◽  
Proteomics Analysis

scholarly journals Comparative Proteomics Analysis of Mouse Habu Nephritis Models with and without Unilateral Nephrectomy

2016 ◽  
Vol 39 (5) ◽  
pp. 1761-1776 ◽  
Author(s):  
Lei Chen ◽  
Yang Lu ◽  
Jun Wen ◽  
Xu Wang ◽  
Lingling Wu ◽  
...  
Keyword(s):  
Renal Injury ◽  
Quantitative Proteomics ◽  
Mesangial Cells ◽  
Unilateral Nephrectomy ◽  
Label Free ◽  
Proteomics Analysis ◽  
Single Kidney ◽  
Regulation Of Actin Cytoskeleton ◽  
Insight Into

Background/Aims: Individuals possessing a single kidney are at greater risk of renal injury upon exposure to harmful stimuli. This study aimed to explore the pathogenesis of renal injury in glomerulonephritis with versus without unilateral nephrectomy (UNX). Methods: Histological analysis and label-free quantitative proteomics were performed on two models—the Habu snake venom-induced glomerulonephritis model with versus without UNX (HabuU and Habu models, respectively). The role of villin 1, a differentially expressed protein (DEP) in mouse mesangial cells, was investigated. Results: Persistent mesangiolysis and focal hypercellularity together with reduced activation of cell proliferation in the HabuU model induced more serious renal injury compared with that in the Habu model. The DEPs between the two models were identified by label-free liquid chromatography-mass spectrometry. The KEGG pathway results indicated that regulation of actin cytoskeleton and focal adhesion were specifically enriched in the HabuU model. The cytoskeleton regulation protein villin 1 was downregulated in the HabuU model, but unchanged in the Habu model. Knockdown of villin 1 promoted apoptosis and inhibited the proliferation of mouse mesangial cells, suggesting villin 1 to be involved in qlomerular lesion self-repair insufficiency. Conclusion: By assessing the proteomic profiles of the two models, this study identified several important differences, particularly villin 1 expression, in regulatory mechanisms between the two models. Our findings provide novel insight into the mechanism of serious renal injury in glomerulonephritis with UNX.

scholarly journals iTRAQ-Based Quantitative Proteomics Analysis of the Protective Effect of Yinchenwuling Powder on Hyperlipidemic Rats

2017 ◽  
Vol 2017 ◽  
pp. 1-12
Author(s):  
Zheyu Zhang ◽  
Wenbo Wang ◽  
Ling Jin ◽  
Xin Cao ◽  
Gonghui Jian ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Serum Levels ◽  
Treated Group ◽  
Research Approach ◽  
Therapeutic Effects ◽  
Proteomics Analysis ◽  
Chinese Medicine Formula ◽  
Calcitonin Gene ◽  
Proteomics Technology ◽  
Proteomics Research

Yinchenwuling powder (YCL) is an effective traditional Chinese medicine formula to modulate lipid levels. In this study, we established hyperlipidemic rat models and treated them with YCL. The serum concentrations of lipid, malondialdehyde (MDA), endothelin-1 (ET-1), and calcitonin gene-related peptide (CGRP) were measured. Adventitia-free vascular proteins between hyperlipidemic rats and YCL-treated rats were identified using iTRAQ-based quantitative proteomics research approach. Proteins with 1.3-fold difference were analyzed through bioinformatics, and proteomic results were verified by Western blot. The results showed that the serum levels of TC, TG, LDL-C, ET-1, and MDA were significantly decreased, whereas the HDL-C and CGRP levels were significantly increased in the YCL-treated group. Proteomics technology identified 4,382 proteins, and 15 proteins were selected on the basis of their expression levels and bioinformatics. Of these proteins, 2 (Adipoq and Gsta1) were upregulated and 13 (C3, C4, C6, Cfh, Cfp, C8g, C8b, Lgals1, Fndc1, Fgb, Fgg, Kng1, and ApoH) were downregulated in the YCL-treated rats. Their functions were related to immunity, inflammation, coagulation and hemostasis, oxidation and antioxidation, and lipid metabolism and transport. The validated results of ApoH were consistent with the proteomics results. This study enhanced our understanding on the therapeutic effects and mechanism of YCL on hyperlipidemia.

scholarly journals The GC-TOF/MS-based Metabolomic Analysis Reveals Altered Metabolic Profiles in Nitrogen-Deficient Leaves and Roots of Tea Plants (Camellia sinensis L.)

2021 ◽  
Author(s):  
Zheng-He Lin ◽  
Chang-Song Chen ◽  
Qiu-Sheng Zhong ◽  
Qi-Chun Ruan ◽  
Zhi-Hui Chen ◽  
...  
Keyword(s):  
Amino Acids ◽  
Organic Acids ◽  
N Fertilizer ◽  
Metabolic Profiles ◽  
Tea Leaves ◽  
N Deficiency ◽  
Leaves And Roots ◽  
Tea Plants ◽  
Potential Biomarkers ◽  
Tof Ms

Abstract Background: Nitrogen (N) fertilizer is commonly considered as one of the most omportant limiting factors in the agricultural production. As a result, modern tea production, a large amount of N fertilizer is used to improve the yield. Unfortunately, the large amount of N fertilizer input has led to increased plant nitrogen-tolerance and decreased amplitude of yield improvement, which results in significant N loss, energy waste and environment pollution.However, the effects of N-deficiency on the metabolic profiles of leaves and roots are not well understood.Results: In the study, seedlings of Camellia sinensis (L.) O. Kuntze cv. Chunlv 2 were treated with 3 mM NH4NO3（as Control）or without NH4NO3（as N-deficiency）for 4 months by sandy culture. The results suggested the N-deficiency induced tea leaf chlorosis, impaired biomass accumulation, decreased the leaf chlorophyll content and N absorption compared to Control. The untargeted metabolomics based on GC-TOF/MS approach revealed discrimination of the metabolic profiles between N-deficient tea leaves and roots. The identification and classification of the altered metabolites indicated the N deficiency upregulated the relative abundances of most phenylpropanoids, organic acids while downregulated the relative abundances of most amino acids in the tea leaves. Differentially, N-deficiency induced the accumulation of most carbohydrates, organic acids and amino acids in the tea roots. The potential biomarkers screened in the N-deficient leaves compared to Control reflected the N deficiency reduced the tea quality. Unlike the N-deficient leaves, the potential biomarkers in the N-deficient roots implied an improved stress response. Conclusions:The results demonstrated the N deficiency had different effects on the primary and secondary metabolic alteration of tea leaves and roots. The findings of the study will facilitate a comprehensive understanding of the N-deficient tea plants and provide a valuable reference for the optimized N nutrient management in the tea plantations.

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