التفاصيل البيبلوغرافية
| العنوان: |
An R package for generic modular response analysis and its application to estrogen and retinoic acid receptor crosstalk. |
| المؤلفون: |
Jimenez-Dominguez, Gabriel, Ravel, Patrice, Jalaguier, Stéphan, Cavaillès, Vincent, Colinge, Jacques |
| المصدر: |
Scientific Reports; 3/31/2021, Vol. 11 Issue 1, p1-14, 14p |
| مصطلحات موضوعية: |
ESTROGEN, RETINOIC acid receptors, BIOLOGICAL networks, NUCLEAR receptors (Biochemistry), BIOLOGISTS |
| مستخلص: |
Modular response analysis (MRA) is a widely used inference technique developed to uncover directions and strengths of connections in molecular networks under a steady-state condition by means of perturbation experiments. We devised several extensions of this methodology to search genomic data for new associations with a biological network inferred by MRA, to improve the predictive accuracy of MRA-inferred networks, and to estimate confidence intervals of MRA parameters from datasets with low numbers of replicates. The classical MRA computations and their extensions were implemented in a freely available R package called aiMeRA (https://github.com/bioinfo-ircm/aiMeRATest/). We illustrated the application of our package by assessing the crosstalk between estrogen and retinoic acid receptors, two nuclear receptors implicated in several hormone-driven cancers, such as breast cancer. Based on new data generated for this study, our analysis revealed potential cross-inhibition mediated by the shared corepressors NRIP1 and LCoR. We designed aiMeRA for non-specialists and to allow biologists to perform their own analyses. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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