ACOBIOM provides a new service: measuring inflammation in organs and blood by Digital or Real-Time PCR

Inflammation is associated with most of pathologies: infections, cancers, cardiovascular diseases, metabolic syndromes, autoimmune diseases… Inflammation can also occur in response to a biological or chemical aggression, or be associated with a drug response.

To measure inflammatory responses and to study inflammation-related diseases in organs and blood, ACOBIOM proposes a Digital or Real-Time PCR assay targeting a panel of Inflammation-Related Genes in Human / Mouse / Rat, including potentially regulated genes and reference genes.

ACOBIOM has selected a panel of genes related to inflammation

This panel is composed of 51 selected genes and 8 housekeeping genes. All of them were selected by the ACOBIOM’s scientific team from literature and also from its proprietary database of gene expression profiles, called MaRS.

These genes trigger inflammatory signaling pathways, most commonly the NF-κB, MAPK and JAK-STAT pathways. These pathways are available in databases such as DAVID, a Database for Annotation, Visualization and Integrated Discovery (https://david.ncifcrf.gov/home.jsp), STRING (http://string-db.org/), and KEGG (https://www.genome.jp/kegg).

ACOBIOM developed MaRS is database from 27,000 public RNAseq profiles collected according to a single method to allow their compilation in one unique matrix. This requires the integration of bioinformatics, data science and machine learning specific tools for Omics data analysis.

Based on the analysis of orthologous genes (genes common to the three aforementioned species), ACOBIOM’s scientific team designed and synthesized highly sensitive primers associated with probes.

To perform this PCR analysis, a Digital or Real-Time PCR-based protocol is applied according to the quantity and quality of biological materials (RNA extracted from tissues or liquid biopsies).

Then, ACOBIOM performs the full data analysis. First of all, data analysis allows to evaluate the housekeeping genes using the M-value method to assess the expression and validate them in a specific condition. Then, ACOBIOM develops a machine learning strategy using the same variables as in a genetic algorithm approach. This multi-marker strategy associated with a cutting-edge machine learning approach enables to distinguish between two subgroups of patients, two different drug responses or concentrations, and much more. For instance, machine learning can integrate the results of the inflammation gene panel with other data such as clinical, biological or other Omics data.

ACOBIOM specialist in omics data processing

To make sense to the analysis of each inflammation-related genes, ACOBIOM delivers a report including raw data analysis, PCR specificity, PCR efficiency, assay repeatability/reproducibility, and specific information dedicated to each study (according to MIQE guidelines).

To obtain more information about this panel of inflammation-related genes and the associated service performed by Digital or Real-Time PCR, please contact ACOBIOM’s commercial team: busdev[@]acobiom.com.