LEADER 04017nam 22006375 450 001 9910624321003321 005 20251009105815.0 010 $a3-031-08356-3 024 7 $a10.1007/978-3-031-08356-3 035 $a(MiAaPQ)EBC7134099 035 $a(Au-PeEL)EBL7134099 035 $a(CKB)25299359600041 035 $a(OCoLC)1350687919 035 $a(PPN)266349226 035 $a(DE-He213)978-3-031-08356-3 035 $a(EXLCZ)9925299359600041 100 $a20221109d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSystems Biology of MicroRNAs in Cancer /$fedited by Ulf Schmitz, Olaf Wolkenhauer, Julio Vera-González 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (321 pages) 225 1 $aAdvances in Experimental Medicine and Biology,$x2214-8019 ;$v1385 311 08$aPrint version: Schmitz, Ulf Systems Biology of MicroRNAs in Cancer Cham : Springer International Publishing AG,c2022 9783031083556 320 $aIncludes bibliographical references. 327 $aChapter 1. The Role of MicroRNAs in Cancer Biology and Therapy from a Systems Biology Perspective -- Chapter 2. Circulating MicroRNAs as Cancer Biomarkers in Liquid Biopsies -- Chapter 3. Regulation of Immune Cells by MicroRNAs and MicroRNA-Based Cancer Immunotherapy -- Chapter 4. Machine-Learning-Based Methods and Best Practices of MicroRNA-Target Prediction and Validation -- Chapter 5. Turning Data to Knowledge: Online Tools, Databases and Resources in MicroRNA Research -- Chapter 6. Bioinformatics Methods for Modeling MicroRNA Regulatory Networks in Cancer -- Chapter 7. Analysis of the p53/MicroRNA Network in Cancer -- Chapter 8. Machine Learning Using Gene-Sets to Infer miRNA Function -- Chapter 9. miRNA:miRNA Interactions: A Novel Mode of miRNA Regulation and Its Effect on Disease -- Chapter 10. ClustMMRA v2: A Scalable Computational Pipeline for the Identification of MicroRNA Clusters Acting Cooperatively on Tumor Molecular Subgroups -- Chapter 11. 3D Modeling of Non-coding RNA Interactions. 330 $aThis book provides an update on the latest development in the field of microRNAs in cancer research with an emphasis on translational research. Since the early 2000s, microRNAs have been recognized as important and ubiquitous regulators of gene expression. Soon it became evident that their deregulation can cause human diseases including cancer. This book focuses on the emerging opportunities for the application of microRNA research in clinical practice. In this context, computer models are presented that can help to identify novel biomarkers, e.g. in circulating microRNAs, and tools that can help to design microRNA-based therapeutic interventions. Other chapters evaluate the role of microRNAs in immunotherapy, immune responses and drug resistance. Covering key topics on microRNAs in cancer research this book is a valuable resource for both emerging and established microRNA researchers who want to explore the potential of microRNAs as therapeutic targets or co-adjuvants in cancer therapies. 410 0$aAdvances in Experimental Medicine and Biology,$x2214-8019 ;$v1385 606 $aCancer 606 $aTumor markers 606 $aNon-coding RNA 606 $aCancers 606 $aTumour Biomarkers 606 $aNon-coding RNAs 615 0$aCancer. 615 0$aTumor markers. 615 0$aNon-coding RNA. 615 14$aCancers. 615 24$aTumour Biomarkers. 615 24$aNon-coding RNAs. 676 $a572.88 676 $a616.994042 702 $aSchmitz$b Ulf 702 $aWolkenhauer$b Olaf 702 $aVera-Gonza?lez$b Julio 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624321003321 996 $aSystems biology of microRNAs in cancer$93072849 997 $aUNINA