HepaRG cells

HepaRG cells: a fit-for-purpose system for hepatic modeling and DILI (Drug-Induced Liver Injury) prediction 

Amanda Holdan Webinars

We are excited to share our next webinar speaker is Pamela Bachour El Azzi, PhD. Pamela will discuss the different applications of HepaRG cells: induction studies, DILI (cholestasis, steatosis) and the 3D systems. What you’ll learn:  Coverage of key information about HepaRG cell model and its benefits The use of HepaRG cells for CYP induction and hepatotoxicity studies HepaRG cell …

Image of damaged DNA strand

New Alternative and Approach Methods to Assess Genotoxicity in Human Relevant Systems

Amanda Holdan Webinars

We just showcased our new Chief Scientific Officer, Leslie Recio, PhD, DABTin our May 10th webinar. Les discussed integrating traditional genetic toxicology endpoints with genomic profiling to assess genotoxicity in the HepaRG™ cell platform. He furthere explained how high throughput comet assay using CometChip® technology, a single cell array platform developed at MIT, flow cytometry-based micronucleus (MN) assay, and toxicogenomics …

chemical structures

Chemical structure-property relationships and PBPK modeling: Progress and Perspectives

Amanda Holdan News, Webinars

  Please join us for our next webinar on November 9 at 11am ET by Dr. Kannan Krishnan, Chief of the Air and Site Assessment and Climate indicators Branch (ASACIB) at the Office of Environmental Health Hazard Assessment (OEHHA) of California Environmental Protection Agency. He will take us through the journey of his lab’s work on chemical structure-property relationships for PBPK modeling …

Damaged DNA

Discovery of a new mechanism for genetic change: Exitron splicing implications for carcinogenesis

ScitoVation Blog

by Michael Black Carcinogenesis, or the process of transformation of cells to a cancerous state, often is associated with aberrations in messenger RNA splicing. Removal of introns in pre-mRNA is an essential step in normal cell processing of mRNA prior to transcription of a peptide from a final mRNA transcript. Alternative splicing of pre-mRNA gives cells the ability to regulate multiple final mRNA products from a single gene, adding diversity to the population …

Cholestasis Classification by logistic regression

Development of a Molecular Fingerprint for Predicting Drug-induced Cholestasis

ScitoVation News, Webinars

Jake Reske, ScitoVation graduate intern in toxicogenomics, will explains a meta-analysis strategy used to develop a preliminary classifier of hepatic cholestasis through public transcriptomic data sets. Cholestasis is a hepatic disease that results from bile acid metabolic dysregulation. We describe our approach to using transcriptomics, statistical modeling, and machine learning to identify molecular signatures of cholestasis. What you’ll learn:  Data-driven approaches to identify …

data system

Toward an Actionable Collaborative Data System for Toxicology

Patrick McMullen Blog

Patrick McMullen, Director of Computational Toxicology I have often joked that as a computational biologist in an applied field that has been slow to embrace bioinformatics, it is my goal to work myself out of a job. That is, if I can empower the scientific experts responsible for safety decisions with the right tools, then they can ask their questions …

Using Short-term In Life Transcriptomic Studies to More Effectively Assess Dose Responses and Modes of Action

Melvin Andersen Blog

In the past, dose responses results from in life toxicology studies were used to estimate no observed effect levels (NOELs) and more recently benchmark doses (BMDs). These observational studies of apical endpoints were frequently followed up by mechanistic studies both in intact animals and in in vitro models to determine modes of action (MOAs) and lend support to using either linear or threshold-based low dose extrapolations.  Over the past two decades, gene expression analysis …