20 research outputs found
ΠΠ²Π°ΠΊΡΠ°ΡΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΡΠΈ ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΡΡ ΡΠΈΡΡΠ°ΡΠΈΡΡ
Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π°Π²Π°ΡΠΈΠΈ Π½Π° Π§Π΅ΡΠ½ΠΎΠ±ΡΠ»ΡΡΠΊΠΎΠΉ ΠΠΠ‘ (1986 Π³.) ΡΠ°Π΄ΠΈΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ Π·Π°Π³ΡΡΠ·Π½Π΅Π½ΠΈΠ΅ Π·Π°ΡΡΠΎΠ½ΡΠ»ΠΎ Π²ΡΠ΅ ΡΡΡΠ°Π½Ρ Π‘Π΅Π²Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡΡΠ°ΡΠΈΡ. ΠΠ° ΠΎΠΏΠ°ΡΠ½ΠΎ Π·Π°Π³ΡΡΠ·Π½Π΅Π½Π½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΡ
ΠΎΠΊΠ°Π·Π°Π»ΠΎΡΡ Π±ΠΎΠ»Π΅Π΅ 1 ΠΌΠ»Π½. ΡΠ΅Π». Π ΡΡΠ΄Ρ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΠΉ ΡΠΈΡΠ»ΠΎ ΡΠΌΠ΅ΡΡΠ΅Π»ΡΠ½ΡΡ
ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΌΠΎΠΆΠ΅Ρ ΡΠΎΡΡΠ°Π²ΠΈΡΡ Π΄Π΅ΡΡΡΠΊΠΈ ΡΡΡΡΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ.As a result of the Chernobyl accident (1986), all countries of the Northern Hemisphere were affected by radiation pollution. In dangerously contaminated areas was more than 1 million people. In a number of generations, the number of deadly cancer can amount to tens of thousands of people
ΠΠ΅ΠΎΠΌΠ΅ΡΡΠΈΠ·Π°ΡΠΈΡ Π·ΠΎΠ½ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΡΠΎΠ΄-ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΎΡΠΎΠ² Π² ΠΊΠ΅ΠΌΠ±ΡΠΈΠΉΡΠΊΠΎ-Π½ΠΈΠΆΠ½Π΅Π΄Π΅Π²ΠΎΠ½ΡΠΊΠΈΡ ΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½ΡΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡΡ ΠΡΡΠΎΠ»ΡΡΠΊΠΎΠ³ΠΎ ΠΎΡΠ°Π΄ΠΎΡΠ½ΠΎΠ³ΠΎ Π±Π°ΡΡΠ΅ΠΉΠ½Π° ΡΠ³ΠΎ-Π²ΠΎΡΡΠΎΡΠ½ΠΎΠΉ ΡΠ°ΡΡΠΈ ΠΠ°ΠΏΠ°Π΄Π½ΠΎ-Π‘ΠΈΠ±ΠΈΡΡΠΊΠΎΠΉ Π³Π΅ΠΎΡΠΈΠ½Π΅ΠΊΠ»ΠΈΠ·Ρ
Specific features of petrophysical properties of complex carbonate reservoir by complex geophysical data
ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π»Π°ΡΠ΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΠΈ Π»ΠΈΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΠΏΠΎΠ² ΠΏΠΎΡΠΎΠ΄, ΡΡΠΎ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΡ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΡΡ ΠΎΡΠ΅Π½ΠΊΡ ΠΌΠ΅ΡΡΠΎΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ. ΠΡΠ΅Π½Ρ ΡΠ°ΡΡΠΎ Π½Π΅ΡΡΡΠ½ΡΠ΅ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ ΠΈΠΌΠ΅ΡΡ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΡΠΉ Π½Π°Π±ΠΎΡ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΎ-Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, Π² ΡΠ²ΡΠ·ΠΈ Ρ ΡΠ΅ΠΌ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡ ΡΡΡΠ΄Π½ΠΎΡΡΠΈ Π΄Π»Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ, ΡΡΠΎ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΏΡΠΈ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ ΠΌΠ΅ΡΡΠΎΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ. Π¦Π΅Π»Ρ: Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΎ-Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠ· ΠΌΠ΅ΡΡΠΎΡΠΎΠΆΠ΄Π΅Π½ΠΈΠΉ Π’ΠΎΠΌΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΠΏΡΠΈΡΡΠΎΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΊ ΠΏΠ°Π»Π΅ΠΎΠ·ΠΎΠΉΡΠΊΠΎΠΌΡ ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΡ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ. ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΠΎΡΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠ°Π»Π΅ΠΎΠ·ΠΎΠΉΡΠΊΠΎΠ³ΠΎ ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΠ° ΡΠ³ΠΎ-Π²ΠΎΡΡΠΎΡΠ½ΠΎΠΉ ΡΠ°ΡΡΠΈ ΠΠ°ΠΏΠ°Π΄Π½ΠΎ-Π‘ΠΈΠ±ΠΈΡΡΠΊΠΎΠΉ ΠΏΠ»ΠΈΡΡ - ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΎΡΡ ΡΠ»ΠΎΠΆΠ½ΠΎΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΡΡ
ΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½ΡΡ
ΡΠΎΠ»Ρ, ΠΎΠΊΠ½ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΠΎΠ΅ ΠΎΡ
Π²Π°ΡΡΠ²Π°Π΅Ρ ΠΎΠ±ΡΠ΅ΠΌ Π³ΠΎΡΠ½ΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ, ΡΠ°Π²Π½ΡΠΉ 40 ΠΌ, Π²ΡΠ±ΡΠ°Π½ΠΎ ΠΈΡΡ
ΠΎΠ΄Ρ ΠΈΠ· ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠ΅ΠΉΡΠΌΠΎΡΠ°ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΊΠ°ΡΡΡ. ΠΠ΅ΡΠΎΠ΄Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ Π½Π° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ
- ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΏΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΈ ΠΊΠ΅ΡΠ½ΠΎΠ²ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°. Π’Π°ΠΊΠΎΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π° Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π΄Ρ. Π ΡΠ°Π±ΠΎΡΠ΅ ΠΎΡΠΌΠ΅ΡΠ΅Π½ΠΎ, ΡΡΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π²Π»ΠΈΡΠ΅Ρ Π½Π° ΠΎΡΠ΅Π½ΠΊΡ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ· ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π» Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²ΠΎΠΉΡΡΠ², ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΈΠ· ΠΏΠ΅ΡΠ²ΠΎΠ½Π°ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ° - ΡΠ΅ΠΉΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅, Ρ ΡΠ°ΡΡΠ΅ΡΠ½ΡΠΌΠΈ Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌΠΈ ΠΏΠΎ ΠΊΠ΅ΡΠ½ΠΎΠ²ΡΠΌ Π΄Π°Π½Π½ΡΠΌ. ΠΡΡΠ²Π»Π΅Π½Ρ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅ΠΉΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ, Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ΅ΠΉ ΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΠΌΠΈ ΠΊΠ΅ΡΠ½Π°. ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠΉ ΡΠ΅ΠΉΡΠΌΠΎΡΠ°ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΊΠ°ΡΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΡΠΈΠΉ Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ ΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, Π½ΠΎ ΡΠ°ΠΊΠΆΠ΅ ΡΠΌΠ΅Π½ΡΡΠ°ΡΡ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΈ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΈ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ.The relevance of the research is determined by the need to predict the lateral variability of lithological rock types, which affects the development and economic evaluation of the field. Very often, oil companies have a limited set of geological and geophysical information, in this relation the difficulties arise in predicting promising areas, which contributes to increase in uncertainties in the study of the field. The main aim of the research is isolation and statistical justification of the facies structure according to the geological and geophysical information on the example of one of the deposits of the Tomsk region, confined to the Paleozoic basement of Western Siberia. The object of the study is deposits of the Paleozoic basement of the southeastern part of the West Siberian Plate - complex carbonate reservoir, the study window that covers a rock volume of 40 m is selected based on the conditions for constructing a seismic facies map. Methods of the research are based on the use of integrated data analysis - a statistical comparison of geophysical surveys and core material. This analysis helps to reduce uncertainties in the process of assessing and forecasting the geological environment. The paper notes that the use of a wide range of information affects the assessment and forecast of the distribution of geological bodies in space. A technique is proposed for comparing acoustic properties obtained from the original source - seismic data, with the calculated acoustic properties from core data. The authors have revealed the interconnections between seismic, geophysical information and core research. The justification of the obtained seismic facies map based on the data integration allows us to effectively predict the geological distribution of facies in space and time, but also to reduce uncertainties in the construction of the geological model
Flow cytometry fluorescence levels showing the expression of (A) CD44 and (B) CD147.
<p>Cell pellet immunohistochemistry showing the expression of (C) CD44 and (D) CD147. HOS and POS are the non- metastatic human and canine cell lines and 143B and HMPOS are the metastatic human and canine cell lines respectively. Details of quantification are indicated in SI.</p
Comparative proteomic investigation of metastatic and non-metastatic osteosarcoma cells of human and canine origin
<div><p>Osteosarcoma is the most common bone cancer in dogs and people. In order to improve clinical outcomes, it is necessary to identify proteins that are differentially expressed by metastatic cells. Membrane bound proteins are responsible for multiple pro-metastatic functions. Therefore characterizing the differential expression of membranous proteins between metastatic and non-metastatic clonal variants will allow the discovery of druggable targets and consequently improve treatment methodology. The objective of this investigation was to systemically identify the membrane-associated proteomics of metastatic and non-metastatic variants of human and canine origin. Two clonal variants of divergent <i>in vivo</i> metastatic potential from human and canine origins were used. The plasma membranes were isolated and peptide fingerprinting was used to identify differentially expressed proteins. Selected proteins were further validated using western blotting, flow cytometry, confocal microscopy and immunohistochemistry. Over 500 proteins were identified for each cell line with nearly 40% of the proteins differentially regulated. Conserved between both species, metastatic variants demonstrated significant differences in expression of membrane proteins that are responsible for pro-metastatic functions. Additionally, CD147, CD44 and vimentin were validated using various biochemical techniques. Taken together, through a comparative proteomic approach we have identified several differentially expressed cell membrane proteins that will help in the development of future therapeutics.</p></div
Fig shows global membrane proteomic composition across various cell lines classified according to function.
<p>The colors are as mentioned in the key. HOS and POS are the non- metastatic human and canine cell lines and 143B and HMPOS are the metastatic human and canine cell lines respectively.</p
Table shows the relative emPAI of selected differentially regulated proteins in the human and canine osteosarcoma cells.
<p>HOS and POS are the non-metastatic human and canine cell lines and 143B and HMPOS are the metastatic human and canine cell lines respectively. emPAI of each protein is normalized to total emPAI. The ratios 143B/HOS and HMPOS/POS show fold change in expression.</p
Table shows the percentage of proteins in each category in each cell membrane.
<p>Table 1 represents the calculations reflected in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0183930#pone.0183930.g001" target="_blank">Fig 1</a>. HOS and POS are the non-metastatic human and canine cell lines and 143B and HMPOS are the metastatic human and canine cell lines respectively.</p
Monitoring cancer patients: clinical performance of the access (r) br monitor (ca15-3 antigen), gi monitor (ca19-9 antigen) and ov monitor (ca 125 antigen) assays on beckman coulters unicel (r) dxi 800 immunoassay system: a european multicenter study
Fig shows the relative GPCR activity as measured by cAMP concentration.
<p>The experiment was performed in biological triplicates (and technical duplicates) with n = 2 (total separate trials). **** p <0.0001 and ** p<0.01.</p