Applications

Look how Parean biotechnologies inspires researchers to drive discoveries

Explore outcomes in different research

Our platform has the potential to boost research programs in several clinical fields, and change the paradigm of current understanding.

Oncology &
Immunotherapy

Cell &
Gene therapies

Auto-immunity & Inflammation

Neuro-immunology

Oncology &
Immunotherapy

Uncover immune cells roles in oncology

Immune system is a key component of tumor growth, metastasis dissemination and response to treatment.

Immune cells can drastically change the course of tumor cells proliferation, and many subpopulations can co-exist within a specific tumor micro environment. This is where flow cytometry and omics can help in many areas, reaching a new level of information.

Tumor immune microenvironment

Uncover the influence of tumor immune infiltration.
Identify diverse transcriptomic phenotypes driving the therapeutic response.
Intratumoral heterogeneity

Decipher intratumoral heterogeneity.
Track transcriptomic modulators, within tumors and across cancer types.
Immuno-oncology

Characterize immune cell modulation in tumor progression.
Immune repertoire of infiltrating vs circulating immune cells.
Predict and monitor immune-related adverse events.
Therapeutic development

Discover new targets, explore how therapeutics modulate cell populations, and understand resistance mechanisms.

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Cell &
Gene therapies

Develop & Monitor New Cell Therapies

Cell and gene therapies have made significant advancements, reshaping the treatment landscape for monogenic diseases and cancer. These therapies presents challenges in maintaining consistent quality, and long term efficacy.

At Parean, we are dedicated to leverage the use of omics technologies to address the complexity of cell and gene products, and develop specific protocols tailored for cell therapy developer.

Characterise cell & gene therapies

Explore diversity in genetic modifications, lineage, or state, impacting efficacy & safety.
Identify cellular heterogeneity within treated populations.
Explore drug resistance

Evaluate CAR-T cell exhaustion
Use scCITE-seq to correlate RNAseq with protein expression, and relevant functional T cell phenotypes.
Predict off-target and toxicity

Phenotype mural cells expressing CD19.
Evaluate CD19 expression using comprehensive human single-cell reference databases.
QC & Immune Monitoring

Cell phenotyping before and after infusion.
Track immunogenicity and key immune cells molecular changes during a clinical trial.

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Auto-immunity &
Inflammation

Delve into auto-immune reponse using repertoire and transcriptomics

Auto-immunity and inflammation components are present in various diseases, and requires translational research programs.

Characterizing sub populations of key immune cells and relevant tissue became a challenge requiring strong cyotmetry and sorting protocols, and in depth phenotyping using NGS sequencing technologies

Identify Rare Cell Phenotypes

Cluster different T & B cells in sjogren syndrome.
Phenotype Gamma Delta T.
Track Tregs in Lupus.
Identify specific B cells in RA.
Assess antigen specificity

Correlate Organ-specific auto-antigens with immune repertoire.
Identify specific subpopulation expressing a defined antigen.
Immune Repertoire Changes

Assess immune repertoire diversity at different timepoints.
Correlate immune repertoire with clinical outcomes
Immune Monitoring

Track immune cells numbers at different timepoints
Phenotype immune cells changes over the course of a diseases

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Neuro
immunology

Explore Immune and Rare Cell populations response in neurology.

Gain a richer understanding of the nervous system and accelerate the discovery of fundamental biology driving multifactorial neurodegenerative diseases (Alzheimer, Parkinson, SLA, ..).

Multiple Sclerosis

Tregs deficiency or dysfunction
Cells phenotype correlation with inflammation.
B cells involved in auto-antibodies production
Amyotrophic Lateral Sclerosis

Integrate multi datasets to identify best patient subgroup responder.
Characterize T Regs modulating neuro-inflammation.
Parkinson Disease

Compare peripheral monocytes with macrophages in CNS.
Integrate very cells population correlated with disease stage.
Immune Monitoring

Track immune cells numbers at different timepoints
Phenotype immune cells changes over the course of a diseases