scholarly journals High-Content Analysis in Toxicology: Screening Substances for Human Toxicity Potential, Elucidating Subcellular Mechanisms andIn VivoUse as Translational Safety Biomarkers

2014 ◽  
Vol 115 (1) ◽  
pp. 4-17 ◽  
Author(s):  
Peter J. O'Brien
Keyword(s):  
Content Analysis ◽  
Human Toxicity ◽  
Toxicity Potential ◽  
High Content Analysis ◽  
Human Toxicity Potential ◽  
Toxicology Screening

Developing an index to assess human toxicity potential of sugarcane industry

2019 ◽  
Vol 209 ◽  
pp. 1274-1284 ◽  
Author(s):  
Marcelo Girotto Rebelato ◽  
Andréia Marize Rodrigues ◽  
André Gustavo de Brito Thomaz ◽  
Luciana Maria Saran ◽  
Leonardo Lucas Madaleno ◽  
...  
Keyword(s):  
Human Toxicity ◽  
Toxicity Potential ◽  
Human Toxicity Potential ◽  
Sugarcane Industry

scholarly journals Estimating human toxicity potential of land application of sewage sludge: the effect of modelling choices

2016 ◽  
Vol 22 (5) ◽  
pp. 731-743 ◽  
Author(s):  
Robin Harder ◽  
Gregory M. Peters ◽  
Magdalena Svanström ◽  
Stuart J. Khan ◽  
Sverker Molander
Keyword(s):  
Sewage Sludge ◽  
Land Application ◽  
Human Toxicity ◽  
Toxicity Potential ◽  
Human Toxicity Potential

scholarly journals Kajian Dampak Lingkungan pada Sistem Produksi Listrik dari Limbah Buah Menggunakan Life Cycle Assessment

2018 ◽  
Vol 12 (2) ◽  
pp. 27 ◽  
Author(s):  
Fajar Marendra ◽  
Anggun Rahmada ◽  
Agus Prasetya ◽  
Rochim Bakti Cahyono ◽  
Teguh Ariyanto
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Anaerobic Digestion ◽  
Environmental Impact ◽  
Electricity Generation ◽  
Human Toxicity ◽  
Toxicity Potential ◽  
Fruit Waste ◽  
Acidification Potential ◽  
Human Toxicity Potential

A B S T R A C TProducing biogas by anaerobic digestion (AD) is a promising process that can simultaneously provide renewable energy and dispose solid waste safely. However, this process could affect environment e.g. due to greenhouse gas emissions. By life cycle assessment (LCA), we assessed the environmental impact (EI) of an integrated fruit waste-based biogas system and its subsystems of Biogas Power Plant Gamping. Data were collected from an actual plant in Gamping, Sleman, Yogyakarta, Indonesia that adopted a wet AD process at mesophilic condition. The results showed that the global warming potential (GWP) emission of the system reached 81.95 kgCO2-eq/t, and the acidification potential (AP), eutrophication potential (EP), human toxicity potential (HTPinf) and fresh water ecotoxicity (FAETPinf) emissions were low. The EI was mainly generated by two subsystems, namely, the electricity generation and the digestate storage. A comparison analysis showed that the GWP become the main contributor of environmental loads produced by Biogas Plant Gamping, Suazhou Biogas Model, Opatokun Biogas Model, Opatokun Pyrolisis Model, dan Opatokun Integrated System Anaerobic Digestion and Pyrolisis. The GWP impact control and reduction could significantly reduce the EI of the system. It has been shown that improving the technology of the process, the electricity generation and the digestate storage will result in the reduction of EI of the biogas system.Keywords: environmental impact; fruit waste; life cycle assessment (LCA); renewable energyA B S T R A KProduksi listrik dari biogas dengan anaerobic digestion (AD) merupakan proses yang menjanjikan karena dapat menghasilkan energi listrik dan penanganan limbah padat dengan aman. Namun, proses ini mempengaruhi lingkungan akibat emisi gas rumah kaca. Penilaian dampak lingkungan (environmental impact atau EI) sistem biogas berbasis limbah terpadu dan subsistemnya terhadap Biogas Power Plant Gamping (BPG) dilakukan dengan metode life cycle assesement atau LCA. Data dikumpulkan dari plant yang sebenarnya di Gamping, Sleman, Yogyakarta, Indonesia yang mengadopsi proses AD basah pada kondisi mesofilik. Potensi pemanasan global (global warming potential atau GWP) dari sistem mencapai 81,95 kgCO2-eq/t, sedangkan potensi keasaman (acidification potential atau AP), potensi eutrofikasi (eutrophication potential atau EP), potensi toksisitas manusia (human toxicity potential atau HTPinf) dan ekotoksisitas air (fresh water ecotoxicity atau FAETPinf) potensi emisinya cukup rendah. Potensi EI terutama dihasilkan oleh dua subsistem, yaitu, pembangkit listrik dan penyimpanan digestate. Analisis perbandingan menunjukkan bahwa dampak GWP menjadi kontributor utama dari beban lingkungan yang dihasilkan oleh Biogas Plant Gamping, biogas model Suazhou, biogas model Opatokun, model pirolisis Opatokun, serta model integrasi AD dan pirolisis Opatokun. Pengendalian dan pengurangan dampak GWP secara signifikan dapat mengurangi EI dari sistem. Telah terbukti bahwa peningkatkan teknologi proses, pembangkit listrik dan penyimpanan digestate akan menghasilkan pengurangan EI dari sistem biogas.Kata kunci: dampak lingkungan; energi terbarukan; life cycle assessment (LCA); limbah buah

Calculating Chinese Human Toxicity Potential Factors of Heavy Metals in Water for Material Industry

2013 ◽  
Vol 743-744 ◽  
pp. 475-479
Author(s):  
Hong Tao Wang ◽  
Xian Zheng Gong ◽  
Feng Gao ◽  
Bo Xue Sun ◽  
Chen Li ◽  
...  
Keyword(s):  
Water Pollution ◽  
Heavy Metals ◽  
Human Toxicity ◽  
Material Industry ◽  
Characterization Model ◽  
Toxicity Potential ◽  
Human Toxicity Potential ◽  
Potential Factors

With the development of materials industry, the problem of water pollution is increasingly serious, and therefore it is important to establish an appropriate characterization model of heavy metals in water in China. This paper provides the human toxicity potential factors of several heavy metals, including Hg, Cd, Cr, Pb and As. The result showed that Chinas HTP factors are partial greater than Europe factors, caused by the different industrial situation and the ratio of total human intake to total emissions.

Development and Validation of High-Content Analysis for Screening HDAC6-Selective Inhibitors

2021 ◽  
pp. 247255522110024
Author(s):  
Yunhong Nong ◽  
Yanyan Hou ◽  
Yuting Pu ◽  
Si Li ◽  
Yan Lan
Keyword(s):  
Content Analysis ◽  
Adverse Effects ◽  
Hdac Inhibitors ◽  
Histone H3 ◽  
Class I ◽  
Cell Seeding ◽  
Clinical Evaluations ◽  
Structure Activity ◽  
High Content Analysis ◽  
Development And Validation

Throughout recent decades, histone deacetylase (HDAC) inhibitors have shown encouraging potential in cancer treatment, and several pan-HDAC inhibitors have been approved for treating malignant cancers. Numerous adverse effects of pan-HDAC inhibitors have been reported, however, during preclinical and clinical evaluations. To avoid undesirable responses, an increasing number of investigations are focusing on the development of isotype-selective HDAC inhibitors. In this study, we present an effective and quantitative cellular assay using high-content analysis (HCA) to determine compounds’ inhibition of the activity of HDAC6 and Class I HDAC isoforms, by detecting the acetylation of their corresponding substrates (i.e., α-tubulin and histone H3). Several conditions that are critical for HCA assays, such as cell seeding number, fixation and permeabilization reagent, and antibody dilution, have been fully validated in this study. We used selective HDAC6 inhibitors and inhibitors targeting different HDAC isoforms to optimize and validate the capability of the HCA assay. The results indicated that the HCA assay is a robust assay for quantifying compounds’ selectivity of HDAC6 and Class I HDAC isoforms in cells. Moreover, we screened a panel of compounds for HDAC6 selectivity using this HCA assay, which provided valuable information for the structure–activity relationship (SAR). In summary, our results suggest that the HCA assay is a powerful tool for screening selective HDAC6 inhibitors.

scholarly journals Machine learning-assisted high-content analysis of pluripotent stem cell-derived embryos in vitro

2021 ◽  
Author(s):  
Jianying Guo ◽  
Peizhe Wang ◽  
Berna Sozen ◽  
Hui Qiu ◽  
Yonglin Zhu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Content Analysis ◽  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
High Content Analysis

scholarly journals Organizational metrics of interchromatin speckle factor domains: integrative classifier for stem cell adhesion & lineage signaling

2015 ◽  
Vol 7 (4) ◽  
pp. 435-446 ◽  
Author(s):  
Sebastián L. Vega ◽  
Anandika Dhaliwal ◽  
Varun Arvind ◽  
Parth J. Patel ◽  
Nick R. M. Beijer ◽  
...  
Keyword(s):  
Content Analysis ◽  
Stem Cell ◽  
Cell Adhesion ◽  
Nuclear Protein ◽  
Cell Lineage ◽  
Lineage Commitment ◽  
Cell Microenvironment ◽  
Stem Cell Lineage ◽  
High Content Analysis

Timely classification of stem cell lineage commitment in response to cell–microenvironment interactions using high content analysis of sub-nuclear protein organization.

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