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Medical Evaluation of Human MicroRNAs Needs to Address Recent Sequences and GC Content

机译:人体microRNA的医学评估需要解决最近的序列和GC含量

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Background: Human microRNAs (miRs) that have been evaluated toward medical application are largely the early-introduced sequences numbered below 1000, with GC content close to Droso-phila melanogaster fruitfly, but rather below current averages for human miRs. The research bias toward low database numbers and low GC content is found for all sectors of human miRs.Objective: Characterization of all human miRs for nucleotide parameters and matching with mRNA sectors, and a comparison with fruitfly miRs as the original models. Method: Human and fruitfly miRs from miRBase v21 were examined for contents of GC nucleotides, strings and iterons and for matching with sectors of the respective mRNAs. Results: The > 1000-numbered ( > #1000) miRs represent a considerable majority (64 %) of known human miRs and have much higher overall GC content (55 % vs. 47 %) and GC strings and iterons (61 % and 81 %, respectively) than the < 1000-numbered ( < #1000) miRs. The > #1000 miRs match mRNAs generally better than the < #1000 group. Also, 3'utr are much better matched by human compared to fruitfly miRs, and human mRNA matches generally have much higher GC content and expected stability than those of fruitfly. Conclusion: Fruitfly miRs, while historically preferred in general miR modeling, are not a satisfactory model for human miRs. The current constriction of the medical evaluation of human microRNAs to the < #1000 sequences with < 50% GC appears as quite arbitrary and mostly as related to research inertia. The mRNA matches of > #1000 miRs should be much more stable than those of the < #1000 group. The miRs of high GC content have been found active in regulation of growth factors and transcription factors in many physiological as well as pathological paradigms, and seem to have considerable medical potential (including that in regenerative medicine), which should be adequately explored.
机译:背景:已经向医学应用评估的人体microRNA(MIRS)主要是早期引入的序列,下面的序列低于1000,含GC含量靠近Droso-Phila Melanogaster Frutifly,而是低于人类MIR的当前平均值。对低数据库数和低GC含量的研究偏见是针对人体mirs的所有扇区找到的方法:检查来自MiRBase V21的人和果蝇MIR用于GC核苷酸,弦和迭代的含量,以及与各个MRNA的扇区匹配。结果:1000号(>#1000)MIR表示相当大的(64%)已知的人体MIR,总体GC含量高得多(55%与47%)和GC字符串和迭代(61%和81 %,分别比<1000编号(<1000)mirs。 >#1000 mirs匹配MRNAS通常比<1000组更好。此外,与果蝇MIR相比,3'UTR与人类相匹配得多,人类mRNA匹配通常具有更高的GC含量和预期的稳定性。结论:果蝇MIR,虽然在历史上首选的MIR建模中,对人类MIR来说不是一个令人满意的模型。当前将人microRNA的医学评估与<50%GC的序列的医学评估似乎非常任意,主要与研究惯性相关。 MRNA匹配>#1000 MIRS的比赛应该比<1000组的更稳定。在许多生理和病理范式中,已经发现高GC含量的MIR活跃于生长因子和转录因子,并且似乎具有相当大的医学潜力(包括在再生医学中),应该得到充分探索。

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