Konstantin Lukyanov

Dr. Konstantin Lukyanov

Skolkovo Institute of Science and Technology, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
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Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

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

Representative Publications

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11 June 1996 in Proceedings of the National Academy of Sciences
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Journal Article
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LDL Diatchenko
L Diatchenko
Yun-Fai Chris LauYun-Fai Chris Lau
Yun-Fai Chris Lau
ACA P Campbell
A P Campbell
ACA Chenchik
A Chenchik
FMF Moqadam
F Moqadam
PSP D Siebert
P D Siebert
A new and highly effective method, termed suppression subtractive hybridization (SSH), has been developed for the generation of subtracted cDNA libraries. It is based primarily on a recently described technique called suppression PCR and combines normalization and subtraction in a single procedure. The normalization step equalizes the abundance of cDNAs within the target population and the subtraction step excludes the common sequences between the target and driver populations. In a model system, the SSH technique enriched for rare sequences over 1,000-fold in one round of subtractive hybridization. We demonstrate its usefulness by generating a testis-specific cDNA library and by using the subtracted cDNA mixture as a hybridization probe to identify homologous sequences in a human Y chromosome cosmid library. The human DNA inserts in the isolated cosmids were further confirmed to be expressed in a testis-specific manner. These results suggest that the SSH technique is applicable to many molecular genetic and positional cloning studies for the identification of disease, developmental, tissue-specific, or other differentially expressed genes.

1 July 2010 in Physiological Reviews
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DCDmitriy M. Chudakov
Dmitriy M. Chudakov
MMMikhail V. Matz
Mikhail V. Matz
SLSergey Lukyanov
Sergey Lukyanov
KLKonstantin Lukyanov
Konstantin Lukyanov
Green fluorescent protein (GFP) from the jellyfish Aequorea victoria and its homologs from diverse marine animals are widely used as universal genetically encoded fluorescent labels. Many laboratories have focused their efforts on identification and development of fluorescent proteins with novel characteristics and enhanced properties, resulting in a powerful toolkit for visualization of structural organization and dynamic processes in living cells and organisms. The diversity of currently available fluorescent proteins covers nearly the entire visible spectrum, providing numerous alternative possibilities for multicolor labeling and studies of protein interactions. Photoactivatable fluorescent proteins enable tracking of photolabeled molecules and cells in space and time and can also be used for super-resolution imaging. Genetically encoded sensors make it possible to monitor the activity of enzymes and the concentrations of various analytes. Fast-maturing fluorescent proteins, cell clocks, and timers further expand the options for real time studies in living tissues. Here we focus on the structure, evolution, and function of GFP-like proteins and their numerous applications for in vivo imaging, with particular attention to recent techniques.

22 March 2006 in Nature Methods
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VBVsevolod V Belousov
Vsevolod V Belousov
AFArkady F Fradkov
Arkady F Fradkov
KLKonstantin Lukyanov
Konstantin Lukyanov
DSDmitry Staroverov
Dmitry Staroverov
KSKonstantin S Shakhbazov
Konstantin S Shakhbazov
SLSergey Lukyanov
Sergey Lukyanov

1 January 1995 in Nucleic Acids Research
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Journal Article
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PSPaul D. Siebert
Paul D. Siebert
ACAlex Chenchik
Alex Chenchik
DKDavid E. Kellogg
David E. Kellogg
KLKonstantin Lukyanov
Konstantin Lukyanov
SLSergey A. Lukyanov
Sergey A. Lukyanov

19 March 2006 in Nature Biotechnology
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NGNadya G Gurskaya
Nadya G Gurskaya
VVVladislav Verkhusha
Vladislav Verkhusha
ASAlexander S Shcheglov
Alexander S Shcheglov
DSDmitry Staroverov
Dmitry Staroverov
TCTatyana V Chepurnykh
Tatyana V Chepurnykh
KLKonstantin Lukyanov
Konstantin Lukyanov

11 May 2016 in Nature
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Journal Article
Open access
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KSKaren S Sarkisyan
Karen S Sarkisyan
DBDmitry A. Bolotin
Dmitry A. Bolotin
MMMargarita V. Meer
Margarita V. Meer
DUDinara R. Usmanova
Dinara R. Usmanova
AMAlexander S. Mishin
Alexander S. Mishin
FKFyodor A. Kondrashov
Fyodor A. Kondrashov
Comprehensive genotype–phenotype mapping of the green fluorescent protein shows that the local fitness peak is narrow, shaped by a high prevalence of epistatic interactions, providing for the loss of fluorescence when the joint effect of mutations exceeds a threshold. Fyodor Kondrashov and colleagues report comprehensive genotype–phenotype mapping across an entire protein, based on analysis of the fitness landscape of green fluorescent protein (GFP) using a molecular barcoding and sequencing approach. They find that the fitness landscape is characterized by locally narrow regions, combined with a high prevalence of epistatic interactions, providing for the loss of fluorescence when the joint effect of mutations exceeds a threshold. Fitness landscapes1,2 depict how genotypes manifest at the phenotypic level and form the basis of our understanding of many areas of biology2,3,4,5,6,7, yet their properties remain elusive. Previous studies have analysed specific genes, often using their function as a proxy for fitness2,4, experimentally assessing the effect on function of single mutations and their combinations in a specific sequence2,5,8,9,10,11,12,13,14,15 or in different sequences2,3,5,16,17,18. However, systematic high-throughput studies of the local fitness landscape of an entire protein have not yet been reported. Here we visualize an extensive region of the local fitness landscape of the green fluorescent protein from Aequorea victoria (avGFP) by measuring the native function (fluorescence) of tens of thousands of derivative genotypes of avGFP. We show that the fitness landscape of avGFP is narrow, with 3/4 of the derivatives with a single mutation showing reduced fluorescence and half of the derivatives with four mutations being completely non-fluorescent. The narrowness is enhanced by epistasis, which was detected in up to 30% of genotypes with multiple mutations and mostly occurred through the cumulative effect of slightly deleterious mutations causing a threshold-like decrease in protein stability and a concomitant loss of fluorescence. A model of orthologous sequence divergence spanning hundreds of millions of years predicted the extent of epistasis in our data, indicating congruence between the fitness landscape properties at the local and global scales. The characterization of the local fitness landscape of avGFP has important implications for several fields including molecular evolution, population genetics and protein design.