Sanna
Kreula
Doctoral Researcher, Department of Life Technologies
PhD student
Areas of expertise
Bioinformatics
Molecular biology
NADPH
E. coli
cyanobacteria
Teaching
2015. University of Turku. Teaching on course
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.”
2012, 2013 and 2014. University of Turku. Teaching on course of Systems Biology: “Network analysis with Cytoscape.”
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.
Publications
Patterning of the Autotrophic, Mixotrophic, and Heterotrophic Proteomes of Oxygen-Evolving Cyanobacterium Synechocystis sp. PCC 6803 (2022)
Frontiers in Microbiology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Finding novel relationships with integrated gene-gene association network analysis of Synechocystis sp. PCC 6803 using species-independent text-mining (2018)
PeerJ
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))