Phenolic promiscuity in the cell nucleus – epigallocatechingallate (EGCG) and theaflavin-3,3′-digallate from green and black tea bind to model cell nuclear structures including histone proteins, double stranded DNA and telomeric quadruplex DNA

2013 ◽  
Vol 4 (2) ◽  
pp. 328-337 ◽  
Author(s):  
Gediminas Mikutis ◽  
Hande Karaköse ◽  
Rakesh Jaiswal ◽  
Adam LeGresley ◽  
Tuhidul Islam ◽  
...  
2013 ◽  
Author(s):  
Husna Zulkipli ◽  
Norita Salim ◽  
Gabriele Anisah Froemming ◽  
Aletza Mohd Ismail ◽  
Hapizah Nawawi

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Grzegorz Bokota ◽  
Jacek Sroka ◽  
Subhadip Basu ◽  
Nirmal Das ◽  
Pawel Trzaskoma ◽  
...  

Abstract Background Bioimaging techniques offer a robust tool for studying molecular pathways and morphological phenotypes of cell populations subjected to various conditions. As modern high-resolution 3D microscopy provides access to an ever-increasing amount of high-quality images, there arises a need for their analysis in an automated, unbiased, and simple way. Segmentation of structures within the cell nucleus, which is the focus of this paper, presents a new layer of complexity in the form of dense packing and significant signal overlap. At the same time, the available segmentation tools provide a steep learning curve for new users with a limited technical background. This is especially apparent in the bulk processing of image sets, which requires the use of some form of programming notation. Results In this paper, we present PartSeg, a tool for segmentation and reconstruction of 3D microscopy images, optimised for the study of the cell nucleus. PartSeg integrates refined versions of several state-of-the-art algorithms, including a new multi-scale approach for segmentation and quantitative analysis of 3D microscopy images. The features and user-friendly interface of PartSeg were carefully planned with biologists in mind, based on analysis of multiple use cases and difficulties encountered with other tools, to offer an ergonomic interface with a minimal entry barrier. Bulk processing in an ad-hoc manner is possible without the need for programmer support. As the size of datasets of interest grows, such bulk processing solutions become essential for proper statistical analysis of results. Advanced users can use PartSeg components as a library within Python data processing and visualisation pipelines, for example within Jupyter notebooks. The tool is extensible so that new functionality and algorithms can be added by the use of plugins. For biologists, the utility of PartSeg is presented in several scenarios, showing the quantitative analysis of nuclear structures. Conclusions In this paper, we have presented PartSeg which is a tool for precise and verifiable segmentation and reconstruction of 3D microscopy images. PartSeg is optimised for cell nucleus analysis and offers multi-scale segmentation algorithms best-suited for this task. PartSeg can also be used for the bulk processing of multiple images and its components can be reused in other systems or computational experiments.


2021 ◽  
Author(s):  
Rodrigo Cardoso ◽  
Luiza Dias Moreira ◽  
Mirian Costa ◽  
Renata Celi Lopes Toledo ◽  
Mariana Grancieri ◽  
...  

The aim of this study was to evaluate the effect of green and black tea kombuchas consumption on adiposity, lipid metabolism, liver steatosis, oxidative stress, and inflammation in Wistar rats...


2005 ◽  
Vol 24 (4) ◽  
pp. 139-147 ◽  
Author(s):  
J. Olivier ◽  
A. E. De Jager

Although traditional green and black tea is the world’s favourite drink, health or herbal “teas” are becoming increasingly popular. Despite the diversity of indigenous South African plants, only two herbal teas, namely honeybush and rooibos, are presently being produced on a commercial basis. However, a “tea” obtained from the Athrixia phylicoides plant, is extremely popular in the eastern interior of the country and may have commercial potential. Two ethnobotanical surveys were conducted in the Limpopo Province and in KwaZulu-Natal to obtain information on the traditional use of the plant amongst different ethnic groups. It was found that A. phylicoides is used as a herbal “tea”, as a medicine and for the making of brooms. Although A. phylicoides tea is very popular, the plant is most often used for the making of brooms. Medicinally it is used to treat “heart problems”, high blood pressure and diabetes. Only minor ethnically-based differences in medicinal use were revealed by the surveys. Its symbolic value and use during religious ceremonies were previously undocumented. Owing to indiscriminate harvesting techniques practised by pickers from urban areas, the plant is becoming increasingly scarce and may be faced with local extinction.


2018 ◽  
Vol 9 (6) ◽  
pp. 3126-3133 ◽  
Author(s):  
Ye Jiao ◽  
Yan Yan ◽  
Zhiyong He ◽  
Daming Gao ◽  
Fang Qin ◽  
...  

The profile of 18 heterocyclic amines from seven categories (including β-carbolines) in tea leaves during green and black tea processing procedures, as well as commercial tea products was screened by ultrahigh-performance liquid chromatography with tandem mass spectrometry.


Author(s):  
Małgorzata Muzolf-Panek ◽  
Anna Kaczmarek ◽  
Anna Gliszczyńska-Świgło

AbstractContemporary consumers drink significant amounts of tea because of its health–benefits mainly associated to the presence of polyphenols with high antioxidant activity. Therefore, the information how to obtain tea infusion of the highest quality, i.e. with high antioxidant capacity is needed. In this study, the various models for the prediction of total polyphenols and antioxidant activity of green and black tea infusions were developed and compared. Three mathematical equations: Spiro’s, Peleg’s and logarithmic, and two data mining techniques: multivariate adaptive regression splines (MARS) and artificial neural networks (ANNs) were used to build the predictive models. The results obtained show that Spiro’s model could be used for the prediction of green tea quality expressed as total phenolic content or the antioxidant activity (determination coefficients above 0.99), whereas Peleg’s model is more suitable for black tea quality prediction (determination coefficients above 0.99). Data mining techniques (MARS and ANNs) enable to create models fast and of simple application with very good acceptability (determination coefficients above 0.99).


Molecules ◽  
2019 ◽  
Vol 24 (10) ◽  
pp. 1862 ◽  
Author(s):  
Nenad Naumovski ◽  
Alexandra Foscolou ◽  
Nathan M. D’Cunha ◽  
Stefanos Tyrovolas ◽  
Christina Chrysohoou ◽  
...  

Tea is one of the most-widely consumed beverages in the world with a number of different beneficial health effects, mainly ascribed to the polyphenolic content of the tea catechins. The aim of this study was to examine the consumption of green, black, or no tea, in relation to the previously validated successful ageing index (SAI; higher values “healthier” ageing) in a combined analysis of adults aged >50 years old from the ATTICA (n = 1128 adults from Athens, Greece metropolitan area) and the MEDiterranean Islands Study (MEDIS) (n = 2221 adults from various Greek island and Mani) studies. After adjusting for age, sex, smoking, and coffee consumption, green tea was positively associated with SAI (b ± SE: 0.225 ± 0.055, p < 0.001), while black tea was negatively associated with SAI (unstandardized b coefficient ± Standard error: −0.807 ± 0.054, p < 0.001). Green tea (vs black tea) consumption, had higher odds of a SAI of over 3.58 out of 10 (OR: 1.77, 95% CI: 1.38–2.28). Green tea consumption was also associated with higher levels of physical activity (p < 0.001) and reduced likelihood of hypertension (p = 0.006) compared with black tea. Two possible mechanisms are that green tea possesses high levels of catechins such as (−)-epigallocatechin 3-gallate and l-theanine compared with black tea. Therefore, the present analysis supports both the role of green tea constituents in successful ageing, as well as its role as an important component of an overall healthy diet in adults aged 50 years and over from these two epidemiological studies.


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