Kaikkonen Lab Chromatin, RNA & Gene Regulation

Projects · Kaikkonen Lab

From genetic discovery to cardiovascular mechanisms

The Kaikkonen Lab investigates how genetic variation, regulatory elements, cellular states, and tissue context shape atherosclerotic cardiovascular disease. Our research connects functional genomics, single-cell and spatial biology, computational modelling, and translational cardiovascular medicine.

Ongoing programs

Current research projects

01
Ongoing · 2023–2027

MIRACLE

MIRACLE focuses on understanding how genetic risk contributes to cardiovascular disease mechanisms and disease progression. The project integrates genetic, functional, and multi-omics data to identify causal variants, regulatory mechanisms, and pathways that shape cardiovascular risk.

genetic risk causal variants multi-omics pathways risk prediction
02
ERC-funded project

SECRET

SECRET aims to functionally dissect causal regulatory variants in atherosclerotic cardiovascular disease. The project connects non-coding disease variants to enhancer activity, target genes, cellular phenotypes, and disease-relevant regulatory networks.

non-coding variants CRISPRi/a endothelial cells smooth muscle cells regulatory networks
03
Single-cell · Spatial biology

Single-cell and spatial genomics

This research direction maps cardiovascular disease at cell-type and spatial resolution, identifying disease-associated cell states, regulatory programs, and spatial tissue organization in vascular pathology.

scRNA-seq scATAC-seq multiome spatial transcriptomics cell states
04
Variant-to-function

Functional fine-mapping of GWAS variants

This project area translates statistical disease associations into experimentally testable biological mechanisms by identifying causal regulatory elements, target genes, and functional effects of non-coding variants.

GWAS interpretation fine-mapping MPRA CRISPR validation target genes
05
Computational · Translational

Multimodal translational cardiovascular genomics

This emerging direction integrates molecular, cellular, spatial, genetic, and clinical data to connect disease mechanisms with phenotype and support mechanism-aware prediction.

genomics epigenomics spatial data clinical integration machine learning
06
Core biology

Gene regulatory mechanisms in cardiovascular disease

A central goal of the lab is to understand how regulatory elements, enhancers, enhancer RNAs, chromatin programs, and transcriptional networks control disease-relevant cellular phenotypes.

enhancers eRNAs chromatin regulation inflammation variant-to-gene mechanisms

Foundations

Previous and foundational research

Enhancer biology

Foundational work on enhancers and enhancer RNAs in transcriptional regulation and inflammatory gene expression.

Genomic dissection of atherosclerosis

Application of next-generation sequencing technologies to identify regulatory mechanisms in cardiovascular disease.

Polygenic disease architecture

Research linking genetic variation, disease-associated cell states, and heritability in cardiovascular disease.

Variant-to-function mapping

Frameworks connecting non-coding variants to regulatory elements, target genes, and disease mechanisms.

Research vision

Bridging genetic association and disease mechanism

Genetic variation → Regulatory function → Cellular mechanisms → Disease biology → Clinical translation

The long-term goal is to bridge the gap between genetic association and disease mechanism by combining experimental genomics, single-cell technologies, computational biology, and translational cardiovascular research.