Sanna Kreula
PhD student
sanmpe@utu.fi Itäinen Pitkäkatu 4 C Turku Office: 6th floor, 6049 |
Areas of expertise
Bioinformatics; Molecular biology; NADPH; E. coli; cyanobacteria
Bioinformatics; Molecular biology; NADPH; E. coli; cyanobacteria
Research
I am focusing on cellular redox homeostasis in prokaryotic micro-organisms, and specifically on factors associated
with nicotinamide adenine cofactor [NADP(H) and NAD(H)] metabolism in E. coli and photoautotrophic cyanobacterium Synechocystis sp. PCC 6803. The principal objective is to study how NADPH-metabolism is regulated. The aim is to develop and verify a model that describes the regulation of NADP(H)-metabolism in the prokaryotic model species. The project is commenced by using both computational and experimental biology methodologies, and information-rich networks will be created and publicly distributed for both E. coli and cyanobacteria.
Teaching
2015. University of Turku. Teaching on course
of Bioinformatics methods workshop: “Cytoscape: analysis, visualization and
data integration of complex, biological networks.”
of Bioinformatics methods workshop: “Cytoscape: analysis, visualization and
data integration of complex, biological networks.”
2012, 2013 and 2014.
University of Turku. Teaching on course of Systems Biology: “Network analysis with Cytoscape.”
University of Turku. Teaching on course of Systems Biology: “Network analysis with Cytoscape.”
Publications
- Patterning of the Autotrophic, Mixotrophic, and Heterotrophic Proteomes of Oxygen-Evolving Cyanobacterium Synechocystis sp. PCC 6803 (2022)
- Frontiers in Microbiology
(A1 Refereed original research article in a scientific journal) - Finding novel relationships with integrated gene-gene association network analysis of Synechocystis sp. PCC 6803 using species-independent text-mining (2018)
- PeerJ
(A1 Refereed original research article in a scientific journal) - Pyridine nucleotide transhydrogenase PntAB is essential for optimal growth and photosynthetic integrity under low-light mixotrophic conditions in Synechocystis sp. PCC 6803 (2017)
- New Phytologist
(A1 Refereed original research article in a scientific journal) - Integrating Large-Scale Text Mining and Co-Expression Networks: Targeting NADP(H) Metabolism in E. coli with Event Extraction (2012) Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012) Suwisa Kaewphan, Sanna Kreula, Sofie Van Landeghem, Yves Van de Peer, Patrik R Jones, Filip Ginter
(A4 Refereed article in a conference publication )
UTU Research Portal