Preclinical Development
We support researchers to gain more insight into the mechanism of action of a therapeutic during the preclinical development stage and highlight any immediate safety concerns related to on- or off-target effects.
We have experience in many aspects of preclinical development, from target & lead selection to formal preclinical development.
How We Can Help Your Preclinical Development Research
By combining our expertise in bioinformatics analysis with our extensive knowledge in preclinical research, our bioinformatics services can help with:
- Target and lead identification and validation
- Comparison of animal model and human data to ensure translation
- Identifying biomarkers for measurement of drug efficacy and mechanism of action
- SNP genotype analysis & DNA sequence analysis for the detection of novel SNPs implicated in disease or response to drugs.
Our bespoke solutions utilise state-of-art approaches, tailored to the data types and requirements of each project.
Preclinical Development Projects We Have Helped With
- Investigating the effect of drug treatment on the expression profile of a cancer cell line over a time course.
- Association of gene expression or mutations that confer sensitivity to CRISPR gene knockout in cell lines of interest.
- The evaluation of gene expression changes in response to treatment in alpha, beta, delta and ductal cells from pancreas tissue samples.
- Association of gene expression and functional pathways with immune cell subtypes in peripheral blood mononuclear cells (PBMCs).
- Investigation of drug or gene knockout-induced changes to the proteome of cancer cells or tissues from various model organism.
Selected Publications
- TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells
- IFITM3 restricts the morbidity and mortality associated with influenza
- Species-specific regulation of angiogenesis by glucocorticoids reveals contrasting effects on inflammatory and angiogenic pathways
- TGFβ and IL-13 Induce Pro-Fibrotic Changes in the 3DBioBarrierTM Airway Epithelial/Fibroblast Model System
- Central nervous system regeneration is driven by microglia necroptosis and repopulation.
For more publications, visit our dedicated Publications page.
Case Study: Predictive Toxicity
The aim of this study was to assess predictive toxicity and showcase decision points and background content about the analysis workflows provided to our clients.
Webinar: The Value of Bioinformatics to Assess Novel Immuno-Oncology Therapies
We discuss a recent study with two syngeneic mouse models and how bioinformatics analysis was able to determine their response to treatment.
Blog: Bioinformatics in the Preclinical Stage
Bioinformatics has a significant role to play in the preclinical stage of the drug development process and beyond into the clinical phases of drug development.
Getting Your Data Ready For Analysis
We can analyse:
- Recent data, generated within your own laboratory or that of a 3rd party provider
- In-house historic data
- Data sourced from the public domain.
While we prefer to receive data in the raw format (eg .CEL files) we can also receive pre-normalised files.
However, if you have yet to generate the data, we can help by arranging for the generation of your data through one of our preferred laboratory service partners. Alternatively, we are able to source and mine data from available databases. We are happy to work with you at every stage of your study to ensure the best outcome for your research.
Our Reports
Our analysis reports at Fios are provided as an HTML link hosted on our secure server. The secure link leads the user to a password-protected HTML document which is clickable, searchable and dynamic. This format allows you to easily interrogate and explore your data. Additionally, all methods, tools and thresholds are fully documented within the report.
At Fios Genomics, we are completely data driven. Whatever your research area, we offer support at every stage of your research and for different purposes:
Discovery
Selecting the correct targets and/or the correct indication is essential for development success. We help support the process with robust analysis of historic or new data.
Preclinical Research
We help in experimental design and statistical analysis and guide our clients in making informed decisions during the preclinical stage.
Clinical
Research
We offer a comprehensive analysis approach for augmenting clinical trial outcomes, ensuring you get the most information out of your research.
Drug Repurposing
We have strong experience with identifying in silico new potential indications for existing drugs, reducing the cost and time of downstream wet lab validation.
