NAISS
SUPR
NAISS Projects
SUPR
New transcriptomic methods to investigate cardiovascular, metabolic and autoimmune disease
Dnr:

NAISS 2026/3-194

Type:

NAISS Medium

Principal Investigator:

Joan Camunas Soler

Affiliation:

Göteborgs universitet

Start Date:

2026-03-30

End Date:

2027-04-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (Applications at 10610)

Allocation

Abstract

My lab works at the intersection of genomics, biophysics, and precision medicine. To do so, we develop new single-cell technologies and non-invasive molecular diagnostics methods. Our methods are applied to a wide range of biological questions, with a current focus on predicting cellular dysfunction associated with cardiovascular, metabolic, and autoimmune disorders. These diseases involve complex interactions between immune activation, tissue remodeling, endocrine dysfunction, and systemic inflammation. To address these questions, we integrate four complementary experimental modalities: 1. Single-cell and spatial transcriptomics → to characterize tissue microenvironments and cellular heterogeneity. 2. Liquid biopsy transcriptomics (cfRNA) → to detect circulating molecular signatures of immune activation and organ involvement. 3. High-Density MicroElectrodeArray (HD-MEA) → to assess functional electrophysiological behavior of pancreatic islets. 4. Immunostaining and confocal imaging → to quantify endocrine cell composition and spatial organization. ⸻ PROJECT OVERVIEW The project New Transcriptomic Methods to Investigate Cardiovascular, Metabolic, and Autoimmune Disease (Dnr: NAISS 2026/3-194) focuses on developing novel single-cell technologies and non-invasive molecular diagnostics. We integrate genomics, biophysics, and precision medicine to study disease mechanisms, particularly in type 2 and type 1 diabetes, cardiovascular disorders such as myocarditis, and autoimmune diseases including systemic sclerosis. ⸻ OVERVIEW OF RESOURCE REQUIREMENTS Our lab is highly focused on bioinformatics and data analysis. Currently, five members of the group work on computationally intensive tasks. Each member analyzes their own samples, from raw sequencing data to advanced downstream analyses. As our research projects are ongoing, data are continuously generated, and computational analyses are performed using datasets stored on Dardel. Relocating these data to a non-dynamic storage solution is therefore not feasible. Moreover, all data types and projects described above are unpublished, meaning that data continue to be produced, uploaded to Dardel, and actively analyzed. For this reason, we request renewal of our medium data storage for the next year. An overview of data generated during the last year, the data management plan, and expected new data for the coming year is provided below in the abridged data management plan. We will remove data from projects published in 2026 and incorporate new data from projects initiated in 2025.