Ivan Minkov

Prof. Dr. Ivan Minkov

Institute of Molecular Biology and Biotechnologies (IMBB), Bulgaria
orcid

Research Focus & Metrics

Academic Career Length

39Years (1988-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 April 2006 in Plant Physiology
Verified
Journal Article
Closed access
IGIlya Gadjev
Ilya Gadjev
SVSandy Vanderauwera
Sandy Vanderauwera
TGTsanko S. Gechev
Tsanko S. Gechev
CLChristophe Laloi
Christophe Laloi
IMIvan Minkov
Ivan Minkov
Frank Van BreusegemFrank Van Breusegem
Frank Van Breusegem
Reactive oxygen species (ROS) are key players in the regulation of plant development, stress responses, and programmed cell death. Previous studies indicated that depending on the type of ROS (hydrogen peroxide, superoxide, or singlet oxygen) or its subcellular production site (plastidic, cytosolic, peroxisomal, or apoplastic), a different physiological, biochemical, and molecular response is provoked. We used transcriptome data generated from ROS-related microarray experiments to assess the specificity of ROS-driven transcript expression. Data sets obtained by exogenous application of oxidative stress-causing agents (methyl viologen, Alternaria alternata toxin, 3-aminotriazole, and ozone) and from a mutant (fluorescent) and transgenic plants, in which the activity of an individual antioxidant enzyme was perturbed (catalase, cytosolic ascorbate peroxidase, and copper/zinc superoxide dismutase), were compared. In total, the abundance of nearly 26,000 transcripts of Arabidopsis (Arabidopsis thaliana) was monitored in response to different ROS. Overall, 8,056, 5,312, and 3,925 transcripts showed at least a 3-, 4-, or 5-fold change in expression, respectively. In addition to marker transcripts that were specifically regulated by hydrogen peroxide, superoxide, or singlet oxygen, several transcripts were identified as general oxidative stress response markers because their steady-state levels were at least 5-fold elevated in most experiments. We also assessed the expression characteristics of all annotated transcription factors and inferred new candidate regulatory transcripts that could be responsible for orchestrating the specific transcriptomic signatures triggered by different ROS. Our analysis provides a framework that will assist future efforts to address the impact of ROS signals within environmental stress conditions and elucidate the molecular mechanisms of the oxidative stress response in plants.

1 July 2005 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
VRVentsislav Rusinov
Ventsislav Rusinov
Vesselin BaevVesselin Baev
Vesselin Baev
IMIvan Minkov
Ivan Minkov
MTMartin Tabler
Martin Tabler
Regulation of post-transcriptional gene expression by microRNAs (miRNA) has so far been validated for only a few mRNA targets. Based on the large number of miRNA genes and the possibility that one miRNA might influence gene expression of several targets simultaneously, the quantity of ribo-regulated genes is expected to be much higher. Here, we describe the web tool MicroInspector that will analyse a user-defined RNA sequence, which is typically an mRNA or a part of an mRNA, for the occurrence of binding sites for known and registered miRNAs. The program allows variation of temperature, the setting of energy values as well as the selection of different miRNA databases to identify miRNA-binding sites of different strength. MicroInspector could spot the correct sites for miRNA-interaction in known target mRNAs. Using other mRNAs, for which such an interaction has not yet been described, we discovered frequently potential miRNA binding sites of similar quality, which can now be analysed experimentally. The MicroInspector program is easy to use and does not require specific computer skills. The service can be accessed via the MicroInspector web server at http://www.imbb.forth.gr/microinspector.

1 April 2002 in Cellular and Molecular Life Sciences
Verified
Journal Article
Closed access
PDF file
TGT. Gechev
T. Gechev
IGI. Gadjev
I. Gadjev
Frank Van BreusegemFrank Van Breusegem
Frank Van Breusegem
DID. Inzé
D. Inzé
SDS. Dukiandjiev
S. Dukiandjiev
IMIvan Minkov
Ivan Minkov

21 September 2012 in Cellular and Molecular Life Sciences
Verified
Journal Article
Closed access
PDF file
TGTsanko Gechev
Tsanko Gechev
MBMaria Benina
Maria Benina
TOToshihiro Obata
Toshihiro Obata
TTTakayuki Tohge
Takayuki Tohge
NSNeerakkal Sujeeth
Neerakkal Sujeeth
VTValentina Toneva
Valentina Toneva

1 January 2003 in Journal of Plant Physiology
Verified
Journal Article
Closed access
TGTsanko Gechev
Tsanko Gechev
HWHilde Willekens
Hilde Willekens
MMMark Van Montagu
Mark Van Montagu
DIDirk Inzé
Dirk Inzé
WCW.I.M. Van Camp
W.I.M. Van Camp
IMIvan Minkov
Ivan Minkov

1 March 2005 in IUBMB Life
Verified
Journal Article
Open access
PDF file
TGTsanko Gechev
Tsanko Gechev
IMIvan Minkov
Ivan Minkov
JHJacques Hille
Jacques Hille
Hydrogen peroxide is a major regulator of plant programmed cell death (PCD) but little is known about the downstream genes from the H2O2‐signaling network that mediate the cell death. To address this question, a novel system for studying H2O2‐induced programmed cell death in Arabidopsis thaliana was used. The catalase inhibitor aminotriazole (AT) reduced the catalase activity and caused endogenous accumulation of hydrogen peroxide that eventually triggered cell death. Microarray analysis with a DNA chip representing 21500 genes and subsequent comparison with other PCD‐related expression studies revealed a set of new H2O2‐responsive genes that were highly regulated in a common fashion during different types of PCD. These included an oxoglutarate‐dependent dioxygenase and various oxidoreductases, the transcription factors Zat11, WRKY75 and NAM, proteasomal components, a heterologous group of genes with diverse functions, and genes encoding proteins with unknown functions. Knockout lines of the oxoglutarate‐dependent dioxygenase exhibited significantly reduced death symptoms and chlorophyll loss upon H2O2‐induced cell death, indicating a role for this gene in the cell death network.IUBMB Life, 57: 181‐188, 2005