Sergey E. Dmitriev

Bio: Sergey E. Dmitriev is an academic researcher from Moscow State University. The author has contributed to research in topics: Translation (biology) & Eukaryotic translation. The author has an hindex of 26, co-authored 72 publications receiving 2229 citations. Previous affiliations of Sergey E. Dmitriev include Engelhardt Institute of Molecular Biology & Russian Academy of Sciences.

Translation of 5' leaders is pervasive in genes resistant to eIF2 repression

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.

Eukaryotic translation initiation machinery can operate in a bacterial-like mode without eIF2.

Abstract: Unlike bacteria, a specialized eukaryotic initiation factor (eIF)-2, in the form of the ternary complex eIF2-GTP-Met-tRNA(i) (Met), is used to deliver the initiator tRNA to the ribosome in all eukaryotic cells. Here we show that the hepatitis C virus (HCV) internal ribosome entry site (IRES) can direct translation without eIF2 and its GTPase-activating protein eIF5. In addition to the general eIF2- and eIF5-dependent pathway of 80S complex assembly, the HCV IRES makes use of a bacterial-like pathway requiring as initiation factors only eIF5B (an analog of bacterial IF2) and eIF3. The switch from the conventional eukaryotic mode of translation initiation to the eIF2-independent mechanism occurs when eIF2 is inactivated by phosphorylation under stress conditions.

Insights into the mechanisms of eukaryotic translation gained with ribosome profiling.

Abstract: Russian Science Foundation (Grant Numbers 14-14-00127 and RBFR 14-04-00412); Science Foundation Ireland (Grant Number 12/IA/1335)

Cap- and IRES-independent scanning mechanism of translation initiation as an alternative to the concept of cellular IRESs.

Abstract: During the last decade the concept of cellular IRES-elements has become predominant to explain the continued expression of specific proteins in eukaryotic cells under conditions when the cap-dependent translation initiation is inhibited. However, many cellular IRESs regarded as cornerstones of the concept, have been compromised by several recent works using a number of modern techniques. This review analyzes the sources of artifacts associated with identification of IRESs and describes a set of control experiments, which should be performed before concluding that a 5’ UTR of eukaryotic mRNA does contain an IRES. Hallmarks of true IRES-elements as exemplified by well-documented IRESs of viral origin are presented. Analysis of existing reports allows us to conclude that there is a constant confusion of the cap-independent with the IRES-directed translation initiation. In fact, these two modes of translation initiation are not synonymous. We discuss here not numerous reports pointing to the existence of a cap- and IRES-independent scanning mechanism of translation initiation based on utilization of special RNA structures called cap-independent translational enhancers (CITE). We describe this mechanism and suggest it as an alternative to the concept of cellular IRESs.

mTOR Signaling in Growth, Metabolism, and Disease

Abstract: The mechanistic target of rapamycin (mTOR) coordinates eukaryotic cell growth and metabolism with environmental inputs, including nutrients and growth factors. Extensive research over the past two decades has established a central role for mTOR in regulating many fundamental cell processes, from protein synthesis to autophagy, and deregulated mTOR signaling is implicated in the progression of cancer and diabetes, as well as the aging process. Here, we review recent advances in our understanding of mTOR function, regulation, and importance in mammalian physiology. We also highlight how the mTOR signaling network contributes to human disease and discuss the current and future prospects for therapeutically targeting mTOR in the clinic.

Schizophrenia risk from complex variation of complement component 4

Abstract: Schizophrenia is a heritable brain illness with unknown pathogenic mechanisms. Schizophrenia's strongest genetic association at a population level involves variation in the major histocompatibility complex (MHC) locus, but the genes and molecular mechanisms accounting for this have been challenging to identify. Here we show that this association arises in part from many structurally diverse alleles of the complement component 4 (C4) genes. We found that these alleles generated widely varying levels of C4A and C4B expression in the brain, with each common C4 allele associating with schizophrenia in proportion to its tendency to generate greater expression of C4A. Human C4 protein localized to neuronal synapses, dendrites, axons, and cell bodies. In mice, C4 mediated synapse elimination during postnatal development. These results implicate excessive complement activity in the development of schizophrenia and may help explain the reduced numbers of synapses in the brains of individuals with schizophrenia.

Conflict of interest statement. None declared.

Abstract: Hypertension 66 (20.3%) 24 (24.2%) 30 (16.3%) NS Diabetes 20 (6.2%) 7 (7.1%) 10 (5.4%) NS Excess weight 78 (24%) 27 (27.3%) 44 (23.9%) NS Smokers 64 (19.7%) 17 (17.2%) 35 (19.0%) NS Age >50 years 137 (42.2%) 54 (54.5%) 67 (36.4%) <0.02 Kidney disease 7 (2.2%) 1 (1%) 5 (2.7%) NS Family history, DM 102 (31.4%) 28 (28.3%) 66 (35.9%) NS