Relation Therapeutics

single-cell multi-omics, functional assays, machine learning

discoverydiscovering

relationrx.com·United Kingdom·Founded 2020·Seed·$102M total funding

01Overview 02People 03Projects 04Concepts 05Patents 06Public records 07Belief evolution

Plate C · C-CYTR

Projects

DERMATOMICS: Identifying Regulators of Skin Homeostasis

exploratory

research program · high · Tue Dec 10 2024 00:00:00 GMT+0000 (Coordinated Universal Time)

Understand systemic sclerosis skin biology and identify novel therapeutic targets for systemic sclerosis, connective tissue diseases, and CTD-associated skin and lung disease.

Recruit systemic sclerosis participants, obtain skin punch biopsies, apply extreme phenotype sampling, and use molecular, genetic and single-cell profiling of skin tissue.

ClinicalTrials.gov record published for DERMATOMICS study.

Lab-in-the-Loop platform

exploratory

platform · high

Use patient-tissue biology to understand disease mechanisms and identify druggable therapeutic targets.

Integrated single-cell multi-omics, functional assays, genomics and machine learning directly from patient tissue.

Platform described as Relation Therapeutics' core technology for target discovery and medicine development.

OSTEOMICS: Identifying Regulators of Bone Homeostasis

exploratory

research program · high

Identify and validate novel therapeutic targets for prevention of age-associated bone diseases including osteoporosis and osteoarthritis.

Recruit patients undergoing orthopaedic surgery, collect surgical bone waste, and analyze bone cell molecular biology, bone structure, genetics and environmental factors using modern single-cell technologies.

Clinical/public research record describes active participant recruitment and sample analysis plan.

Osteoporosis therapeutics program

preclinical

drug program · medium

Develop medicines for osteoporosis, identified as Relation Therapeutics' first indication.

Target discovery and validation using single-cell multi-omics, functional assays, genomics and machine learning from patient tissue.

Osteoporosis identified as the company's first indication.

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0-100 chain-logic scale · 15 dimensions · scored on public evidence