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Institution

Moscow State University

EducationMoscow, Russia
About: Moscow State University is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Laser & Population. The organization has 66747 authors who have published 123358 publications receiving 1753995 citations. The organization is also known as: MSU & Lomonosov Moscow State University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the principles underlying the observed effects of applied pressure on biological systems, and the current and potential application of pressure in biotechnological processes are discussed. But the authors focus on applying pressure to biological systems and processes to modify the properties of biological materials to preserve or improve their qualities.

302 citations

Journal ArticleDOI
TL;DR: It is clear from this review that many of the effects of these histidine-containing dipeptides, especially in regard to claims for their therapeutic effects, need to be subjected to critical experimental and clinical examination.

302 citations

Journal ArticleDOI
TL;DR: The CSR strategies of vascular plants can be compared quantitatively within and between biomes at the global scale and the strategy–environment relationships it elucidates will help to predict which kinds of species may assemble in response to changes in biogeochemical cycles, climate and land use.
Abstract: Summary Competitor, stress-tolerator, ruderal (CSR) theory is a prominent plant functional strategy scheme previously applied to local floras. Globally, the wide geographic and phylogenetic coverage of available values of leaf area (LA), leaf dry matter content (LDMC) and specific leaf area (SLA) (representing, respectively, interspecific variation in plant size and conservative vs. acquisitive resource economics) promises the general application of CSR strategies across biomes, including the tropical forests hosting a large proportion of Earth's diversity. We used trait variation for 3068 tracheophytes (representing 198 families, six continents and 14 biomes) to create a globally calibrated CSR strategy calculator tool and investigate strategy–environment relationships across biomes world-wide. Due to disparity in trait availability globally, co-inertia analysis was used to check correspondence between a ‘wide geographic coverage, few traits’ data set and a ‘restricted coverage, many traits’ subset of 371 species for which 14 whole-plant, flowering, seed and leaf traits (including leaf nitrogen content) were available. CSR strategy/environment relationships within biomes were investigated using fourth-corner and RLQ analyses to determine strategy/climate specializations. Strong, significant concordance (RV = 0·597; P < 0·0001) was evident between the 14 trait multivariate space and when only LA, LDMC and SLA were used. Biomes such as tropical moist broadleaf forests exhibited strategy convergence (i.e. clustered around a CS/CSR median; C:S:R = 43:42:15%), with CS-selection associated with warm, stable situations (lesser temperature seasonality), with greater annual precipitation and potential evapotranspiration. Other biomes were characterized by strategy divergence: for example, deserts varied between xeromorphic perennials such as Larrea divaricata, classified as S-selected (C:S:R = 1:99:0%) and broadly R-selected annual herbs (e.g. Claytonia perfoliata; R/CR-selected; C:S:R = 21:0:79%). Strategy convergence was evident for several growth habits (e.g. trees) but not others (forbs). The CSR strategies of vascular plants can now be compared quantitatively within and between biomes at the global scale. Through known linkages between underlying leaf traits and growth rates, herbivory and decomposition rates, this method and the strategy–environment relationships it elucidates will help to predict which kinds of species may assemble in response to changes in biogeochemical cycles, climate and land use.

302 citations

Journal ArticleDOI
26 Jan 2015-eLife
TL;DR: Phylogenetic analysis suggests that at least two regulatory uORFs in SLC35A4 and MIEF1 encode functional protein products, and site-specific mutagenesis of two identified stress resistant mRNAs demonstrated that a single uORF is sufficient for eIF2-mediated translation control in both cases.
Abstract: Eukaryotic cells rapidly reduce protein synthesis in response to various stress conditions. This can be achieved by the phosphorylation-mediated inactivation of a key translation initiation factor, eukaryotic initiation factor 2 (eIF2). However, the persistent translation of certain mRNAs is required for deployment of an adequate stress response. We carried out ribosome profiling of cultured human cells under conditions of severe stress induced with sodium arsenite. Although this led to a 5.4-fold general translational repression, the protein coding open reading frames (ORFs) of certain individual mRNAs exhibited resistance to the inhibition. Nearly all resistant transcripts possess at least one efficiently translated upstream open reading frame (uORF) that represses translation of the main coding ORF under normal conditions. Site-specific mutagenesis of two identified stress resistant mRNAs (PPP1R15B and IFRD1) demonstrated that a single uORF is sufficient for eIF2-mediated translation control in both cases. Phylogenetic analysis suggests that at least two regulatory uORFs (namely, in SLC35A4 and MIEF1) encode functional protein products.

301 citations

Journal ArticleDOI
13 Jun 2006-Cell
TL;DR: All steps of eukaryotic translation in vitro are reconstituted using purified ribosomal subunits; initiation, elongation, and termination factors; and aminoacyl tRNAs to investigate termination using pretermination complexes assembled on mRNA encoding a tetrapeptide and to propose a model for translation termination that accounts for the cooperative action of eRF1 and eRF3 in ensuring fast release of nascent polypeptide.

301 citations


Authors

Showing all 68238 results

NameH-indexPapersCitations
Krzysztof Matyjaszewski1691431128585
A. Gomes1501862113951
Robert J. Sternberg149106689193
James M. Tour14385991364
Alexander Belyaev1421895100796
Rainer Wallny1411661105387
I. V. Gorelov1391916103133
António Amorim136147796519
Halina Abramowicz134119289294
Grigory Safronov133135894610
Elizaveta Shabalina133142192273
Alexander Zhokin132132386842
Eric Conte132120684593
Igor V. Moskalenko13254258182
M. Davier1321449107642
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023541
20221,582
20217,040
20208,673
20198,296
20187,187