Stanislav N. Naryzhny

Proliferating cell nuclear antigen in the cytoplasm interacts with components of glycolysis and cancer

MINT‐7995351: G3P (uniprotkb:P04406) and PCNA (uniprotkb:P12004) colocalize (MI:0403) by fluorescence microscopy (MI:0416)MINT‐7995334: ENOA (uniprotkb:P06733) and PCNA (uniprotkb:P12004) colocalize (MI:0403) by fluorescence microscopy (MI:0416)MINT‐7995368: ALDOA (uniprotkb:P04075) and PCNA (uniprotkb:P12004) colocalize (MI:0403) by fluorescence microscopy (MI:0416)MINT‐7995141: G3P (uniprotkb:P04406) binds (MI:0407) to PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995182: ENOA (uniprotkb:P06733) binds (MI:0407) to PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995132: G3P (uniprotkb:P04406) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995228: PRDX6 (uniprotkb:P30041) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995220: CAH2 (uniprotkb:P00918) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995114: Triosephosphate isomerase (uniprotkb:P60174) binds (MI:0407) to PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995244: K2C7 (uniprotkb:P08729) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995252: ANXA2 (uniprotkb:P07355) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995122: Triosephosphate isomerase (uniprotkb:P60174) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995093: ALDOA (uniprotkb:P04075) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995148: PGK1 (uniprotkb:P00558) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995158: PGAM1 (uniprotkb:P18669) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995166: PGAM1 (uniprotkb:P18669) binds (MI:0407) to PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995105: ALDOA (uniprotkb:P04075) binds (MI:0407) to PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995260: PPIA (uniprotkb:P62937) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995173: ENOA (uniprotkb:P06733) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995268: EF1A (uniprotkb:P68104) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995236: MDHM (uniprotkb:P40926) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995189: RSSA (uniprotkb:P08865) physically interacts (MI:0915) with PCNA (uniprotkb:P12004) by far western blotting (MI:0047)MINT‐7995282: PCNA (uniprotkb:P12004) physically interacts (MI:0915) with ALDOA (uniprotkb:P00883) and G3P (uniprotkb:P46406) by anti bait coimmunoprecipitation (MI:0006).

Protein profiles of the Chinese hamster ovary cells in the resting and proliferating stages

Identification and characterization of the proteins that regulate the transition from the resting stage (G0) through G1 to S phase of the cell cycle are of central importance to understand the control of cell proliferation and chromosome replication. Unlike in lower organisms, where relatively small numbers of key factors are involved in this process, the factors involved in the same control mechanisms in mammalian systems are much more complex. Furthermore, accumulating lines of evidence now suggest that the nuclear matrix and chromatin organization also play an essential role for the cell cycle control in mammalian cells. To gain a better understanding of the overall dynamics and changes of the protein factors in the context of matrix/chromatin organization, we examined the protein profiles of the Chinese hamster ovary (CHO) cells in different cell cycle compartments. The methods used in this study included subcellular fractionations (cytosol, nuclear extraction, chromatin, and nuclear matrix), two‐dimensional polyacrylamide gel electrophoresis (2‐D PAGE), silver staining, and immunoblotting. As expected, significant changes of protein profiles were observed when cells entered into proliferating stages from G0. Among approximately 1200 protein spots analyzed by 2‐D PAGE, at least 12 showed marked increase or decrease at this transitional period. Further cell‐cycle progression from G1 to S phase showed less dramatic changes of overall protein protile. However, the profile of certain proteins showed rather dramatic changes of their subcellular localization during this transitional period. In particular, the levels of proliferating cell nuclear antigen (PCNA) in the nuclear matrix and chromatin dramatically increased in mid‐G1 and in the beginning of S phase, respectively, while the overall PCNA level was relatively constant throughout the cell cycle.

Characterization of proliferating cell nuclear antigen (PCNA) isoforms in normal and cancer cells: There is no cancer-associated form of PCNA

In order to clarify the status of PCNA in normal and transformed cells, we performed analysis of this protein by 2D‐PAGE, Western blot and mass spectrometry. All the cell lines examined contained the major PCNA form (pI 4.57/30 kDa), that is not post‐translationally modified. In addition to the major form, two minor isoforms (pI 4.52/30 kDa and pI 4.62/30 kDa) were also detected in all the cell lines examined. However, the level of PCNA in cancer cells is 5–6 folds higher than those in primary and most of the immortalized cells. Taken together, the significant difference in PCNA status between cancer and normal cells is not at the post‐translational modifications but in the overall levels of PCNA.

Blue Dry Western: simple, economic, informative, and fast way of immunodetection.

The analysis by electrophoresis followed by transfer to membranes and immunodetection (Western blot) is probably the most popular technique in protein study. Accordingly, it is a time- and money-consuming procedure. Here a protocol is described where immunodetection can be accomplished in 30 min. This approach also allows permanent staining of proteins by Coomassie Blue R on the membrane before immune staining with clear background and high sensitivity.

2DE-based approach for estimation of number of protein species in a cell.

Insufficient sensitivity of methods for detection of proteins at a single molecule level does not yet allow obtaining the whole image of human proteome. But to go further, we need at least to know the proteome size, or how many different protein species compose this proteome. This is the task that could be at least partially realized by the method described in this article. The approach used in our study is based on detection of protein spots in 2DE after staining by protein dyes with various sensitivities. As the different protein spots contain different protein species, counting the spots opens a way for estimation of number of protein species. The function representing the dependence of the number of protein spots on sensitivity or LOD of protein dyes was generated. And extrapolation of this function curve to theoretical point of the maximum sensitivity (detection of a single smallest polypeptide) allowed to counting the number of different molecules (polypeptide species) at the concentration level of a single polypeptide per proteome. Using this approach, it was estimated that the minimal numbers of protein species for model objects, Escherichia coli and Pirococcus furiosus, are 6200 and 3400, respectively. We expect a single human cell (HepG2) to contain minimum 70 000 protein species.

Virtual-Experimental 2DE Approach in Chromosome-Centric Human Proteome Project

To obtain more information about human proteome, especially about proteoforms (protein species) coded by 18th chromosome, we separated proteins from human cancer cell line (HepG2) by two-dimensional gel electrophoresis (2DE). Initially, proteins in major spots were identified by MALDI-MS peptide mass fingerprinting. According to parameters (pI/Mw) of identified proteins the gel was calibrated. Using this calibrated gel, a virtual 2D map of proteoforms coded by Chromosome 18 was constructed. Next, the produced gel was divided into 96 sections with determined coordinates. Each section was cut, shredded, and treated by trypsin according to mass-spectrometry protocol. After protein identification by shotgun mass spectrometry using ESI LC-MS/MS, a list of 20 462 proteoforms (product of 3774 genes) was generated. Among them, 165 proteoforms are representing 39 genes of 18th chromosome. The 3D graphs showing the distribution of different proteoforms from the same gene in 2D map were generated. This is a first step in creation of 2DE-based knowledge database of proteins coded by 18th chromosome.

Purification and in vitro analysis of exosomes secreted by malignantly transformed human cells

Exosomes are natural nanoparticles secreted by different cells and capable of carrying protein markers and genetic information, thus participating in cellular communication. There is good reason to think that quantitative and qualitative characterization of these microparticles produced by different tissues in normal and pathological states can give valuable diagnostic and prognostic information and be a biomarker of different diseases, including oncological ones. Elaboration of the purification of exosomes and their proteome analysis was the aim of the present work. An original approach to enhancing exosome production in cultured transformed human cells was developed. The data obtained allowed us to detect exosomes in cultural conditioned samples and control the quality of produced exosomes at all stages of their purification. Electrophoretic analysis of proteins obtained from exosomes of different origins shows differences in protein profiles. Proteins from exosomes of glioblastoma cell lines were separated by two-dimensional electrophoresis. Protein profiles were further analyzed by densitometry and mass spectrometry, which allowed more than 30 proteins, including specific tumor markers, to be identified.

Variety and Dynamics of Proteoforms in the Human Proteome: Aspects of Markers for Hepatocellular Carcinoma

We have previously developed an approach, where two-dimensional gel electrophoresis (2DE) was used, followed by sectional analysis of the whole gel using high-resolution nano-liquid chromatography-mass spectrometry (ESI LC-MS/MS). In this study, we applied this approach on the panoramic analysis of proteins and their proteoforms from normal (liver) and cancer (HepG2) cells. This allowed us to detect, in a single proteome, about 20,000 proteoforms coded by more than 4000 genes. A set of 3D-graphs showing distribution of these proteoforms in 2DE maps (profiles) was generated. A comparative analysis of these profiles between normal and cancer cells showed high variability and dynamics of many proteins. Among these proteins, there are some well-known features like alpha-fetoprotein (FETA) or glypican-3 (GPC3) and potential hepatocellular carcinoma (HCC) markers. More detailed information about their proteoforms could be used for generation of panels of more specific biomarkers.

Active dissociation of the fluorescent dye Hoechst 33342 from DNA in a living cell: Who could do it?

It is assumed that DNA in mammalian cells is a dynamic conformationally unstable system. This instability provides the cell with a mechanism for dissociating a large number of substances that bind tightly but not covalently to DNA. Among these is the fluorescent dye Hoechst 33342, which binds to DNA in the minor groove. We have selected cell lines with a high capability for active dissociation of Hoechst 33342. Comparative protein analysis of these lines by means of two‐dimensional (2‐D) electrophoresis was performed. Cell and nuclear proteins were analyzed from these and normal strains. A few proteins with significantly changed quantities have been found. The preliminary search of the 2‐D database allowed us to identity some known and unknown cellular proteins that could participate in active dissociation of the dye from DNA.