Persson lab
Professor Bengt Persson utilises structural calculations to predict effects of mutations, develops systems for autmated functional protein classification, and studies gene expression in heart failiure.
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Research projects
One branch of our research regards development of algorithms and methods in bioinformatics that can be used to answer biomedically interesting problems. Another branch regards studies of gene/protein families, including structural aspects, in order to arrive at knowledge about their function and at the same time contributing to classification of parts of the huge protein world.
One of our ongoing projects regards investigation of differences at the genetic and proteomic levels between the two main types of heart failure (HF) -- HF with reduced left ventricular ejection fraction (HFrEF; “the large dilated heart”) and HF with preserved left ventricular ejection fraction (HFpEF; “the small stiff heart”). This is part of the large study PREFERS, where genomics, proteomics, metabolomics and advanced imaging tools are used in an integrative fashion in order to clarify pathophysiologic mechanisms of HFpEF and HFrEF. The project is a collaboration with Cecilia Linde and Hans Persson at Karolinska Institutet and is funded by Astra-Zeneca.
Another project focuses on developing and using structural calculations to investigate mutational effects and for functional characterisation. With structural calculations techniques also considering protein stability in addition to measurements around the active site and analysis of conserved residues, the effect of a mutation can in many cases be predicted with good confidence.
Furthermore, we are working on protein classification, where we use hidden Markov models (HMMs) for functional assignments of protein families. We develop an automated strategy for such sub-classification tasks, making it possible to utilise these methods on large scale analyses. We have an emphasis on the two very large families SDR and MDR (short-chain and medium-chain dehydrogenases/reductases, respectively), which have been shown to be of central metabolic importance for all organisms.
Bengt Persson is also director of the national infrastructure for bioinformatics – NBIS.
Group members
Publications
A mutation interfering with 5-lipoxygenase domain interaction leads to increased enzyme activity
Part of Archives of Biochemistry and Biophysics, p. 179-185, 2014
Part of Neuro - endocrinology letters, p. 1-8, 2022
Part of Neuro - endocrinology letters, p. 39-54, 2023
Baseline characteristics of 547 new onset heart failure patients in the PREFERS heart failure study
Part of ESC Heart Failure, p. 2125-2138, 2022
Part of Scientific Reports, 2024
- DOI for Cardiac biopsies reveal differences in transcriptomics between left and right ventricle in patients with or without diagnostic signs of heart failure
- Download full text (pdf) of Cardiac biopsies reveal differences in transcriptomics between left and right ventricle in patients with or without diagnostic signs of heart failure
Comment: The FAIR Guiding Principles for scientific data management and stewardship
Part of Scientific Data, 2016
Part of Chemico-Biological Interactions, 2024
Computational studies of human class V alcohol dehydrogenase - the odd sibling
Part of BMC Biochemistry, 2016
Part of EMBO Journal, 2021
Part of Frontiers in Cardiovascular Medicine, 2022
- DOI for Extracellular vesicles in heart failure: A study in patients with heart failure with preserved ejection fraction or heart failure with reduced ejection fraction characteristics undergoing elective coronary artery bypass grafting
- Download full text (pdf) of Extracellular vesicles in heart failure: A study in patients with heart failure with preserved ejection fraction or heart failure with reduced ejection fraction characteristics undergoing elective coronary artery bypass grafting
Part of International Journal of Endocrinology, 2016
Part of Clinical Endocrinology, p. 37-44, 2015
Increased iron absorption in patients with chronic heart failure and iron deficiency
Part of Journal of Cardiac Failure, p. 440-443, 2020
Leveraging European infrastructures to access 1 million human genomes by 2022
Part of Nature reviews genetics, p. 693-701, 2019
Metabolomic Profile in HFpEF vs HFrEF Patients
Part of Journal of Cardiac Failure, p. 1050-1059, 2020
Mutations in SLC12A5 in epilepsy of infancy with migrating focal seizures
Part of Nature Communications, 2015
Novel candidate genes for 46,XY gonadal dysgenesis identified by a customized 1 M array-CGH platform
Part of European Journal of Medical Genetics, p. 661-668, 2013
Part of Clinical Biochemistry, p. 50-56, 2019
Part of Journal of Molecular Evolution, p. 140-147, 2014
Part of European Journal of Heart Failure, p. 1287-1297, 2016
Part of International Journal of Cardiology, p. 82-88, 2023
Spatial detection of fetal marker genes expressed at low level in adult human heart tissue
Part of Scientific Reports, 2017
The bio.tools registry of software tools and data resources for the life sciences
Part of Genome Biology, 2019
The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences
Part of Bioinformatics, p. 2636-2642, 2020
Part of Chemico-Biological Interactions, p. 80-84, 2015
Part of Scientific Reports, 2019
- DOI for Transcriptomics of cardiac biopsies reveals differences in patients with or without diagnostic parameters for heart failure with preserved ejection fraction
- Download full text (pdf) of Transcriptomics of cardiac biopsies reveals differences in patients with or without diagnostic parameters for heart failure with preserved ejection fraction
People
Bengt Persson, prof., bpn@icm.uu.se
Sarbashis Das, post-doc, sarbashis.das@icm.uu.se
Christoffer Frisk, project assistant, christoffer.frisk@icm.uu.se
Linus Östberg, Ph.D. student, linus.ostberg@scilifelab.se