Matches in SemOpenAlex for { <https://semopenalex.org/work/W2917757266> ?p ?o ?g. }
- W2917757266 abstract "Rapid changes in the expression of many messenger RNA (mRNA) species follow exposure of cells to ionizing radiation. One of the hypothetical mechanisms of this response may include microRNA (miRNA) regulation, since the amounts of miRNAs in cells also vary upon irradiation. To address this possibility, we designed experiments using cancer-derived cell lines transfected with luciferase reporter gene containing sequences targeted by different miRNA species in its 3'- untranslated region. We focus on the early time-course response (1 h past irradiation) to eliminate secondary mRNA expression waves.Experiments revealed that the irradiation-induced changes in the mRNA expression depend on the miRNAs which interact with mRNA. To identify the strongest interactions, we propose a mathematical model which predicts the mRNA fold expression changes, caused by perturbation of microRNA-mRNA interactions. Model was applied to experimental data including various cell lines, irradiation doses and observation times, both ours and literature-based. Comparison of modelled and experimental mRNA expression levels given miRNA level changes allows estimating how many and which miRNAs play a significant role in transcriptome response to stress conditions in different cell types. As an example, in the human melanoma cell line the comparison suggests that, globally, a major part of the irradiation-induced changes of mRNA expression can be explained by perturbed miRNA-mRNA interactions. A subset of about 30 out of a few hundred miRNAs expressed in these cells appears to account for the changes. These miRNAs play crucial roles in regulatory mechanisms observed after irradiation. In addition, these miRNAs have a higher average content of GC and a higher number of targeted transcripts, and many have been reported to play a role in the development of cancer.Our proposed mathematical modeling approach may be used to identify miRNAs which participate in responses of cells to ionizing radiation, and other stress factors such as extremes of temperature, exposure to toxins, and drugs." @default.
- W2917757266 created "2019-03-02" @default.
- W2917757266 creator A5008389298 @default.
- W2917757266 creator A5039442781 @default.
- W2917757266 creator A5041406070 @default.
- W2917757266 creator A5049208063 @default.
- W2917757266 creator A5063136074 @default.
- W2917757266 creator A5071222148 @default.
- W2917757266 creator A5075697375 @default.
- W2917757266 date "2019-02-06" @default.
- W2917757266 modified "2023-10-08" @default.
- W2917757266 title "A mathematical model as a tool to identify microRNAs with highest impact on transcriptome changes" @default.
- W2917757266 cites W141648204 @default.
- W2917757266 cites W1540070932 @default.
- W2917757266 cites W1550321285 @default.
- W2917757266 cites W1555182890 @default.
- W2917757266 cites W1609044025 @default.
- W2917757266 cites W1760072724 @default.
- W2917757266 cites W1799601486 @default.
- W2917757266 cites W1895649416 @default.
- W2917757266 cites W1964904043 @default.
- W2917757266 cites W1968631483 @default.
- W2917757266 cites W1974352012 @default.
- W2917757266 cites W1976050069 @default.
- W2917757266 cites W1981196634 @default.
- W2917757266 cites W1994406092 @default.
- W2917757266 cites W1994980424 @default.
- W2917757266 cites W2000491596 @default.
- W2917757266 cites W2001259650 @default.
- W2917757266 cites W2001554877 @default.
- W2917757266 cites W2005875123 @default.
- W2917757266 cites W2007368465 @default.
- W2917757266 cites W2026528414 @default.
- W2917757266 cites W2028983853 @default.
- W2917757266 cites W2034420261 @default.
- W2917757266 cites W2034658380 @default.
- W2917757266 cites W2035527366 @default.
- W2917757266 cites W2035532825 @default.
- W2917757266 cites W2036067436 @default.
- W2917757266 cites W2036656644 @default.
- W2917757266 cites W2037264543 @default.
- W2917757266 cites W2037691883 @default.
- W2917757266 cites W2040173907 @default.
- W2917757266 cites W2040191060 @default.
- W2917757266 cites W2044144433 @default.
- W2917757266 cites W2050419560 @default.
- W2917757266 cites W2053103314 @default.
- W2917757266 cites W2055506356 @default.
- W2917757266 cites W2056897424 @default.
- W2917757266 cites W2060860407 @default.
- W2917757266 cites W2061508611 @default.
- W2917757266 cites W2067260619 @default.
- W2917757266 cites W2069200864 @default.
- W2917757266 cites W2076027940 @default.
- W2917757266 cites W2076770754 @default.
- W2917757266 cites W2077312273 @default.
- W2917757266 cites W2082171629 @default.
- W2917757266 cites W2083381199 @default.
- W2917757266 cites W2089326006 @default.
- W2917757266 cites W2094089023 @default.
- W2917757266 cites W2095852413 @default.
- W2917757266 cites W2102656714 @default.
- W2917757266 cites W2106120562 @default.
- W2917757266 cites W2108931251 @default.
- W2917757266 cites W2113546559 @default.
- W2917757266 cites W2120405349 @default.
- W2917757266 cites W2122915854 @default.
- W2917757266 cites W2126190363 @default.
- W2917757266 cites W2128241046 @default.
- W2917757266 cites W2136086657 @default.
- W2917757266 cites W2136312332 @default.
- W2917757266 cites W2138527593 @default.
- W2917757266 cites W2142532074 @default.
- W2917757266 cites W2149475084 @default.
- W2917757266 cites W2154085311 @default.
- W2917757266 cites W2155874171 @default.
- W2917757266 cites W2158484878 @default.
- W2917757266 cites W2162674813 @default.
- W2917757266 cites W2169659025 @default.
- W2917757266 cites W2170696125 @default.
- W2917757266 cites W2170989872 @default.
- W2917757266 cites W2221720933 @default.
- W2917757266 cites W2291208109 @default.
- W2917757266 cites W2396745650 @default.
- W2917757266 cites W2419504677 @default.
- W2917757266 cites W2560678530 @default.
- W2917757266 cites W2613456231 @default.
- W2917757266 cites W4237011200 @default.
- W2917757266 cites W53332993 @default.
- W2917757266 cites W770461898 @default.
- W2917757266 doi "https://doi.org/10.1186/s12864-019-5464-0" @default.
- W2917757266 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6366035" @default.
- W2917757266 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30727966" @default.
- W2917757266 hasPublicationYear "2019" @default.
- W2917757266 type Work @default.
- W2917757266 sameAs 2917757266 @default.
- W2917757266 citedByCount "3" @default.
- W2917757266 countsByYear W29177572662019 @default.
- W2917757266 countsByYear W29177572662021 @default.
- W2917757266 countsByYear W29177572662022 @default.