scholarly journals Preparation of Three-dimensional (3-D) Human Liver (HepaRG) Cultures for Histochemical and Immunohistochemical Staining and Light Microscopic Evaluation

2018 ◽  
Vol 46 (6) ◽  
pp. 653-659 ◽  
Author(s):  
Natasha P. Clayton ◽  
Alanna Burwell ◽  
Heather Jensen ◽  
Barbara F. Williams ◽  
Quashana D. Brown ◽  
...  
Keyword(s):  
Immunohistochemical Staining ◽  
Human Liver ◽  
Three Dimensional ◽  
Culture Systems ◽  
Discovery Research ◽  
Glass Slides ◽  
Drug Discovery Research ◽  
Microscopic Evaluation

The use of three-dimensional (3-D) in vitro culture systems (spheroids, organoids) in biomolecular and drug discovery research has become increasingly popular. The popularity is due, in part, to a diminished reliance on animal bioassays and a desire to develop physiologically relevant cell culture systems that simulate the in vivo tissue microenvironment. Most evaluations of 3-D cultures are by confocal microscopy and high-content imaging; however, these technologies do not allow for detailed cellular morphologic assessments or permit basic hematoxylin and eosin histologic evaluations. There are few studies that have reported detailed processes for preparing 3-D cultures for paraffin embedding and subsequent use for histochemical or immunohistochemical staining. In an attempt to do so, we have developed a protocol to paraffin-embed human liver spheroids that can be sectioned with a microtome and mounted onto glass slides for routine histochemical and immunohistochemical staining and light microscopic evaluations.

scholarly journals Mammary gland 3D cell culture systems in farm animals

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Laurence Finot ◽  
Eric Chanat ◽  
Frederic Dessauge
Keyword(s):  
Cell Culture ◽  
Mammary Gland ◽  
Bacterial Infections ◽  
Three Dimensional ◽  
3D Cell Culture ◽  
Farm Animals ◽  
Culture Systems ◽  
Cell Culture Systems

AbstractIn vivo study of tissue or organ biology in mammals is very complex and progress is slowed by poor accessibility of samples and ethical concerns. Fortunately, however, advances in stem cell identification and culture have made it possible to derive in vitro 3D “tissues” called organoids, these three-dimensional structures partly or fully mimicking the in vivo functioning of organs. The mammary gland produces milk, the source of nutrition for newborn mammals. Milk is synthesized and secreted by the differentiated polarized mammary epithelial cells of the gland. Reconstructing in vitro a mammary-like structure mimicking the functional tissue represents a major challenge in mammary gland biology, especially for farm animals for which specific agronomic questions arise. This would greatly facilitate the study of mammary gland development, milk secretion processes and pathological effects of viral or bacterial infections at the cellular level, all with the objective of improving milk production at the animal level. With this aim, various 3D cell culture models have been developed such as mammospheres and, more recently, efforts to develop organoids in vitro have been considerable. Researchers are now starting to draw inspiration from other fields, such as bioengineering, to generate organoids that would be more physiologically relevant. In this chapter, we will discuss 3D cell culture systems as organoids and their relevance for agronomic research.

scholarly journals In Vitro and In Vivo Antitrypanosomal Activities of Methanol Extract of Echinops kebericho Roots

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Debela Abdeta ◽  
Nigatu Kebede ◽  
Mirutse Giday ◽  
Getachew Terefe ◽  
Solomon Mequanente Abay
Keyword(s):  
Body Weight ◽  
Neglected Tropical Diseases ◽  
Field Isolate ◽  
Parasite Load ◽  
Phytochemical Analysis ◽  
Isolation And Purification ◽  
Discovery Research ◽  
Drug Discovery Research

Microbial resistance to the few conventional antitrypanosomal drugs, increasing resistance of vectors to insecticides, lack of effective vaccines, and adverse effects of the existing antitrypanosomal drugs justify the urgent need for effective, tolerable, and affordable drugs. We assessed antitrypanosomal effects of the hydromethanolic extract of Echinops kebericho Mesfin roots against Trypanosoma congolense field isolate using in vitro and in vivo techniques. Parasite load, packed cell volume (PCV), body weight, and rectal temperature in Swiss albino mice were assessed. This finding is part of the outcomes of drug discovery research for neglected tropical diseases. The extract arrested the motility of trypanosomes within 40 min at 4 and 2 mg/mL concentration, whereas in the untreated control, motility continued for more than 160 min. The extract also reduced parasitemia and prevented drop in PCV and body weight significantly (p<0.05), as compared to control. Phytochemical analysis showed the presence of flavonoids, triterpenes, steroids, saponins, glycosides, tannins, and alkaloids. It is observed that this extract has activity against the parasite. Isolation and purification of specific compounds are required to identify hit compounds responsible for the antitrypanosomal activity of the studied medicinal plant.

scholarly journals Pharmacologic Characterization of a Kinetic In Vitro Human Co-Culture Angiogenesis Model Using Clinically Relevant Compounds

2013 ◽  
Vol 18 (10) ◽  
pp. 1234-1245 ◽  
Author(s):  
Ashley Wolfe ◽  
Belinda O’Clair ◽  
Vincent E. Groppi ◽  
Dyke P. McEwen
Keyword(s):  
Growth Factor ◽  
Umbilical Vein ◽  
Dermal Fibroblasts ◽  
Tube Length ◽  
Endothelial Cell Proliferation ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Angiogenesis Model

Angiogenesis, the formation of new vessels from preexisting vessels, involves multiple cell types acting in concert to cause endothelial cell proliferation, migration, and differentiation into microvascular arrays. Under pathologic conditions, microenvironment changes result in altered blood vessel production. Historically, in vitro angiogenesis assays study individual aspects of the process and tend to be variable, difficult to quantify, and limited in clinical relevance. Here, we describe a kinetic, quantitative, co-culture angiogenesis model and demonstrate its relevance to in vivo pharmacology. Similar to in vivo angiogenesis, a co-culture of human umbilical vein endothelial cells with normal human dermal fibroblasts remains sensitive to multiple cytokines, resulting in a concentration-dependent stimulation of tube formation over time. Treatment with axitinib, a selective vascular endothelial growth factor (VEGF) antagonist, inhibited VEGF-mediated tube length and branch point formation and was selective for inhibiting VEGF over basic fibroblast growth factor (bFGF), similar to previous studies. Conversely, an FGFR-1 selective compound, PD-161570, was more potent at inhibiting bFGF-mediated angiogenesis. These results demonstrate the cytokine dynamics, selective pharmacology, and translational application of this model system. Finally, combining quantitative angiogenic biology with kinetic, live-content imaging highlights the importance of using validated in vitro models in drug discovery research.

scholarly journals Three-dimensional bioprinted hepatorganoids prolong survival of mice with liver failure

Gut ◽  
2020 ◽  
pp. gutjnl-2019-319960 ◽  
Author(s):  
Huayu Yang ◽  
Lejia Sun ◽  
Yuan Pang ◽  
Dandan Hu ◽  
Haifeng Xu ◽  
...  
Keyword(s):  
Drug Metabolism ◽  
Liver Failure ◽  
Human Liver ◽  
Three Dimensional ◽  
3D Bioprinting ◽  
Heparg Cells ◽  
Liver Functions ◽  
Human Specific

ObjectiveShortage of organ donors, a critical challenge for treatment of end-stage organ failure, has motivated the development of alternative strategies to generate organs in vitro. Here, we aim to describe the hepatorganoids, which is a liver tissue model generated by three-dimensional (3D) bioprinting of HepaRG cells and investigate its liver functions in vitro and in vivo.Design3D bioprinted hepatorganoids (3DP-HOs) were constructed using HepaRG cells and bioink, according to specific 3D printing procedures. Liver functions of 3DP-HOs were detected after 7 days of differentiation in vitro, which were later transplanted into Fah-deficient mice. The in vivo liver functions of 3DP-HOs were evaluated by survival time and liver damage of mice, human liver function markers and human-specific debrisoquine metabolite production.Results3DP-HOs broadly acquired liver functions, such as ALBUMIN secretion, drug metabolism and glycogen storage after 7 days of differentiation. After transplantation into abdominal cavity of Fah-/-Rag2-/- mouse model of liver injury, 3DP-HOs further matured and displayed increased synthesis of liver-specific proteins. Particularly, the mice acquired human-specific drug metabolism activities. Functional vascular systems were also formed in transplanted 3DP-HOs, further enhancing the material transport and liver functions of 3DP-HOs. Most importantly, transplantation of 3DP-HOs significantly improved the survival of mice.ConclusionsOur results demonstrated a comprehensive proof of principle, which indicated that 3DP-HO model of liver tissues possessed in vivo hepatic functions and alleviated liver failure after transplantation, suggesting that 3D bioprinting could be used to generate human liver tissues as the alternative transplantation donors for treatment of liver diseases.

Current Progress on the Genomics of Schistosomiasis for Drug Discovery and Diagnostics

2020 ◽  
Vol 20 (5) ◽  
pp. 598-610
Author(s):  
Nileshkumar Meghani ◽  
Beom-Jin Lee ◽  
Hardik Amin ◽  
Behzad Nili-Ahmadabadi ◽  
Saraswathy Nagendran
Keyword(s):  
Drug Discovery ◽  
Early Stage ◽  
Diagnostic Tools ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Tremendous Progress ◽  
Significant Research ◽  
Structural Insights

For a number of decades, schistosomiasis has remained a public threat and an economic burden in a number of countries, directly impacting over 200 million people. The past 15 years have seen tremendous progress in the development of high-throughput methods for targeting or compound selection that are vital to early-stage schistosome drug discovery research. Genomewide approaches to analyze gene expression at the transcriptional and other -omic levels have helped immensely for gaining insight into the pathways and mechanisms involved in the schistosomiasis and it is expected to revolutionize the drug discovery as well as related diagnostics. This review discusses the most recent progress of pharmacology and genomics concerning schistosomiasis with a focus on drug discovery and diagnostic tools. It also provides chemical structural insights of promising targets along with available in vitro and/or in vivo data. Although significant research has been done to identify new molecules for the treatment and new methods for diagnosis, the necessity of new options for the sustainable control of schistosomiasis remains a great challenge.

scholarly journals Current Advances in 3D Tissue and Organ Reconstruction

2021 ◽  
Vol 22 (2) ◽  
pp. 830
Author(s):  
Georgia Pennarossa ◽  
Sharon Arcuri ◽  
Teresina De Iorio ◽  
Fulvio Gandolfi ◽  
Tiziana A. L. Brevini
Keyword(s):  
Cell Biology ◽  
Drug Testing ◽  
Three Dimensional ◽  
3D Culture ◽  
In Vitro Models ◽  
The Body ◽  
Cellular Functions ◽  
Culture Systems

Bi-dimensional culture systems have represented the most used method to study cell biology outside the body for over a century. Although they convey useful information, such systems may lose tissue-specific architecture, biomechanical effectors, and biochemical cues deriving from the native extracellular matrix, with significant alterations in several cellular functions and processes. Notably, the introduction of three-dimensional (3D) platforms that are able to re-create in vitro the structures of the native tissue, have overcome some of these issues, since they better mimic the in vivo milieu and reduce the gap between the cell culture ambient and the tissue environment. 3D culture systems are currently used in a broad range of studies, from cancer and stem cell biology, to drug testing and discovery. Here, we describe the mechanisms used by cells to perceive and respond to biomechanical cues and the main signaling pathways involved. We provide an overall perspective of the most recent 3D technologies. Given the breadth of the subject, we concentrate on the use of hydrogels, bioreactors, 3D printing and bioprinting, nanofiber-based scaffolds, and preparation of a decellularized bio-matrix. In addition, we report the possibility to combine the use of 3D cultures with functionalized nanoparticles to obtain highly predictive in vitro models for use in the nanomedicine field.

scholarly journals Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jiarui Chen ◽  
Yain-Whar Si ◽  
Chon-Wai Un ◽  
Shirley W. I. Siu
Keyword(s):  
Neural Network ◽  
Supervised Learning ◽  
Superior Performance ◽  
Chemical Toxicity ◽  
Animal Testing ◽  
Toxicity Prediction ◽  
Discovery Research ◽  
Drug Discovery Research

AbstractAs safety is one of the most important properties of drugs, chemical toxicology prediction has received increasing attentions in the drug discovery research. Traditionally, researchers rely on in vitro and in vivo experiments to test the toxicity of chemical compounds. However, not only are these experiments time consuming and costly, but experiments that involve animal testing are increasingly subject to ethical concerns. While traditional machine learning (ML) methods have been used in the field with some success, the limited availability of annotated toxicity data is the major hurdle for further improving model performance. Inspired by the success of semi-supervised learning (SSL) algorithms, we propose a Graph Convolution Neural Network (GCN) to predict chemical toxicity and trained the network by the Mean Teacher (MT) SSL algorithm. Using the Tox21 data, our optimal SSL-GCN models for predicting the twelve toxicological endpoints achieve an average ROC-AUC score of 0.757 in the test set, which is a 6% improvement over GCN models trained by supervised learning and conventional ML methods. Our SSL-GCN models also exhibit superior performance when compared to models constructed using the built-in DeepChem ML methods. This study demonstrates that SSL can increase the prediction power of models by learning from unannotated data. The optimal unannotated to annotated data ratio ranges between 1:1 and 4:1. This study demonstrates the success of SSL in chemical toxicity prediction; the same technique is expected to be beneficial to other chemical property prediction tasks by utilizing existing large chemical databases. Our optimal model SSL-GCN is hosted on an online server accessible through: https://app.cbbio.online/ssl-gcn/home.

scholarly journals Chemical Toxicity Prediction Based on Semi-supervised Learning and Graph Convolutional Neural Network

2021 ◽  
Author(s):  
Jiarui Chen ◽  
Yain-Whar Si ◽  
Chon-Wai Un ◽  
Shirley W. I. Siu
Keyword(s):  
Neural Network ◽  
Supervised Learning ◽  
Superior Performance ◽  
Chemical Toxicity ◽  
Animal Testing ◽  
Toxicity Prediction ◽  
Discovery Research ◽  
Drug Discovery Research

Abstract As safety is one of the most important properties of drugs, chemical toxicology prediction has received increasing attentions in the drug discovery research. Traditionally, researchers rely on in vitro and in vivo experiments to test the toxicity of chemical compounds. However, not only are these experiments time consuming and costly, but experiments that involve animal testing are increasingly subject to ethical concerns. While traditional machine learning (ML) methods have been used in the field with some success, the limited availability of annotated toxicity data is the major hurdle for further improving model performance. Inspired by the success of semi-supervised learning (SSL) algorithms, we propose a Graph Convolution Neural Network (GCN) to predict chemical toxicity and trained the network by the Mean Teacher (MT) SSL algorithm. Using the Tox21 data, our optimal SSL-GCN models for predicting the twelve toxicological endpoints achieve an average ROC-AUC score of 0.757 in the test set, which is a 6% improvement over GCN models trained by supervised learning and conventional ML methods. Our SSL-GCN models also exhibit superior performance when compared to models constructed using the built-in DeepChem ML methods. This study demonstrates that SSL can increase the prediction power of models by learning from unannotated data. The optimal unannotated to annotated data ratio ranges between 1:1 and 4:1. This study demonstrates the success of SSL in chemical toxicity prediction; the same technique is expected to be beneficial to other chemical property prediction tasks by utilizing existing large chemical databases.

scholarly journals Design of biomimetic cellular scaffolds for co-culture system and their application

2017 ◽  
Vol 8 ◽  
pp. 204173141772464 ◽  
Author(s):  
Yun-Min Kook ◽  
Yoon Jeong ◽  
Kangwon Lee ◽  
Won-Gun Koh
Keyword(s):  
Extracellular Matrix ◽  
Culture System ◽  
Three Dimensional ◽  
Biochemical Properties ◽  
Culture Systems ◽  
Specific Tissue ◽  
Multicellular Interactions ◽  
Cell Functionality

The extracellular matrix of most natural tissues comprises various types of cells, including fibroblasts, stem cells, and endothelial cells, which communicate with each other directly or indirectly to regulate matrix production and cell functionality. To engineer multicellular interactions in vitro, co-culture systems have achieved tremendous success achieving a more realistic microenvironment of in vivo metabolism than monoculture system in the past several decades. Recently, the fields of tissue engineering and regenerative medicine have primarily focused on three-dimensional co-culture systems using cellular scaffolds, because of their physical and biological relevance to the extracellular matrix of actual tissues. This review discusses several materials and methods to create co-culture systems, including hydrogels, electrospun fibers, microfluidic devices, and patterning for biomimetic co-culture system and their applications for specific tissue regeneration. Consequently, we believe that culture systems with appropriate physical and biochemical properties should be developed, and direct or indirect cell–cell interactions in the remodeled tissue must be considered to obtain an optimal tissue-specific microenvironment.

Identification of Therapeutically Active Molecules against Anthrax through Structure and Ligand based Drug Design

2019 ◽  
Vol 18 (27) ◽  
pp. 2294-2312
Author(s):  
Sisir Nandi ◽  
Mridula Saxena ◽  
Anil Kumar Saxena
Keyword(s):  
Drug Design ◽  
Protective Antigen ◽  
Structural Features ◽  
Anthrax Toxin ◽  
Biological Warfare ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Pathogenic Viruses

Background: People suffer from fatal diseases which are responsible for mortality. Potent devices and medicines are being developed to fight diseases caused by the microorganism for saving the lives of individuals. Highly pathogenic viruses and bacteria are being incorporated into biological warfare, which has become a major threat to mankind and causes the destruction of lives in a short span of time. Objective: The pathogen Bacillus anthracis, which is the causative of anthrax, is used in bioterrorism. Efforts are therefore being made to study the progress of biodefense drug discovery research in combating anthrax-based bioterrorism. Methods: This review describes the present status of the studies ontherapeutic measurement of anthrax toxin inhibitors towards inhibition of protective antigen, lethal and edema factors using chemometric and drug design tools to explore essential structural features for further design of active congeneric compounds. Results: The inhibitors estimated to show high activity through different models may be proposed for further synthesis and testing of biological activity in terms of anthrax toxin inhibition and cytotoxicity testing by in vitro and in vivo assays. Conclusion: Such an attempt is an insight of biodefense drug design against the dreadful threat to the nation due to anthrax-based terrorism and biological warfare.

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