Functional Phenomics to
accelerate cell therapy developmentÂ
evorion provides access to a unique, worldwide proprietary workflow for in-depth analysis of thousands of cell-cell interactions. This unique workflow links a single cell’s functional phenotype with multi-omics data to help you make new breakthroughs in cell therapy development.

About
Functional Phenomics
Our unique workflow pairs a single cell’s functional phenotype with multi-omics data to provide you with an in depth understanding and help you make new breakthroughs in cell therapy development.
Modern single-cell multi-omics technologies fail to directly link a single cell’s multi-omics data to changes in its functional phenotype over a period of time. This is where our innovative workflow excels. We enable you to simultaneously analyze multiple phenotypes (cellular functions, intracellular protein expression, and surface and secreted protein profiles), and the cellular interactions of thousands of cells in a highly parallelized way, and then link those insights directly to each cell’s underlying genetic and transcriptional makeup by retrieving your specific cells from our CellCity Array Chip.
Our technologies and services are designed to comprehensively analyze biological systems over time and space at the resolution of the smallest units of life.

your benefits

Competitive Advantage
Gain a competitive advantage by accessing a unique and custom cell-cell interaction analysis workflow to speed up the development process

Improve Therapy
Improve therapy outcomes by deepening your understanding of cell-cell interactions

Cost Reduction
Significant cost reduction as a result of accelerated cell therapy development

CONNECT cell function to
molecular parameters

WORKFLOW STEPS
evorion’s unique workflow contains building blocks that are tailored by our custom development to fit your demands. The main workflow steps comprise:

STEP 1
Co-positioning of thousands of designated cell-pairs (two single cells) within a defined 3D microenvironment.

STEP 2
Cultivation, stimulation, and time-lapse of live-cell fluorescence imaging.

STEP 3
Dynamic secretion analysis of selected target molecules (e.g. IL-6, TNF-α).

STEP 4
End-point analysis using Immunohistochemistry and/or single molecule mRNA Fluorescence in situ Hybridization (smRNA FISH).

STEP 5
Downstream analysis of selected cell-pairs showing a pre-defined functional phenotype using either qPCR or SMART-Seq after cell retrieval from the CellCity Array Chip.​

STEP 6
Data analysis and visualization.

our offer for your
custom project


Tailored Development
Customize evorion’s proprietary cell-cell interaction analysis workflow to meet your exact demands and answer your scientific questions.
Our team of experts will work with you to develop and implement a customized workflow specific to your cells, assays, and analysis on our CellCity Platform at our R&D lab in Münster.


Technology transfer
Technology, workflow, and know-how transfer to your site after in-depth in-house validation.
Once the customised workflow has been completed and validated, we will transfer the technology over to your site and train your team thoroughly. This way, studies can be carried out even faster and more individually at any time in your lab.

STEP 1

Tailored Development
Our team of experts will work with you to develop and implement a customised workflow specific to your cells, assays and analysis on our CellCity Platform at our R&D lab in Münster.

STEP 2

Knowledge transfer
Technology and workflow transfer to customer’s site after successful in-house validation.
Once the customized workflow has been completed and validated, we offer to transfer the technology to your site and train your team thoroughly. In this way, studies can be carried out even faster and more individually at any time in your lab.
Our CORE EXPERTISE INCLUDES

Single-cell handling, processing, and analysis

Cell culture (2D, 3D), culture and cell-based assays

Microfluidics and microfabrication

Software Development & AI-based Data analysis

Optics and live-cell imaging
