LncRNAs in Hallmarks of Cancer and Clinical Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook LncRNAs in Hallmarks of Cancer and Clinical Applications write by Jaqueline Oliveira. This book was released on 2019. LncRNAs in Hallmarks of Cancer and Clinical Applications available in PDF, EPUB and Kindle. Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides in length that, in general, do not appear to have protein-coding potential. lncRNAs act in gene regulation involved with several biological processes. Furthermore, lncRNAs have been associated with a significant number of cancers, suggesting a potential role in tumorigenesis and progression. For example, HOTAIR regulates proliferation processes and other lncRNAs like highly upregulated in liver cancer (HULC), H19, PTENP1, HEIH, and antisense noncoding RNA in the INK4 locus (ANRIL). Other lncRNAs as AFAP1-AS1 and lincRNA-p21 can interact with BCL-2 and TP53, acting in apoptosis. Moreover, NORAD plays a vital role in genomic stability. Additionally, due to deregulated expression and high tissue specificity level, lncRNAs exhibit great potential as prognostic markers. In this chapter, we review the most highlighted lncRNAs acting in hallmarks of cancer and clinical application.
Clinical Applications of Noncoding RNAs in Cancer
Clinical Applications of Noncoding RNAs in Cancer - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Clinical Applications of Noncoding RNAs in Cancer write by Subash Gupta. This book was released on 2022-01-19. Clinical Applications of Noncoding RNAs in Cancer available in PDF, EPUB and Kindle. Clinical Applications of Noncoding RNAs in Cancer summarizes the existing strategies, advances, and future opportunities on the role of noncoding RNAs in cancer patients. Established clinicians and researchers from all around the world share their views and expertise and provide readers with invaluable knowledge on the subject. This book provides a comprehensive collection of information on the utility of noncoding RNAs in the diagnosis, prognosis, and therapy of cancer. It also discusses the evolutionary significance of noncoding RNAs and how the molecular tools such as RNA-seq, RNA-FISH, ic-SHAPE, and quantitative real-time PCR help in the detection and elucidation of the functions of noncoding RNAs. Additionally, the challenges associated with noncoding RNA approaches and future developments are discussed. It is a valuable resource for cancer researchers, oncologists, clinicians, and other biomedical field members who want to learn more about noninvasive ways to diagnose and efficiently treat diverse cancer types. - Presents a beginning chapter summary to help readers understand the content thoroughly - Encompasses detailed description of information from clinical studies on noncoding RNAs in cancer therapy - Discusses one cancer type per chapter making the content easy to reference
lncRNAs in Cancer Metastasis and Therapy Resistance
lncRNAs in Cancer Metastasis and Therapy Resistance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook lncRNAs in Cancer Metastasis and Therapy Resistance write by Aamir Ahmad. This book was released on 2022-02-03. lncRNAs in Cancer Metastasis and Therapy Resistance available in PDF, EPUB and Kindle.
Long Non-Coding RNAs in Cancer
Long Non-Coding RNAs in Cancer - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Long Non-Coding RNAs in Cancer write by Alfons Navarro. This book was released on 2022-06-25. Long Non-Coding RNAs in Cancer available in PDF, EPUB and Kindle. This volume presents techniques needed for the study of long non-coding RNAs (lncRNAs) in cancer from their identification to functional characterization. Chapters guide readers through identification of lncRNA expression signatures in cancer tissue or liquid biopsies by RNAseq, single Cell RNAseq, Phospho RNAseq or Nanopore Sequencing techniques; validation of lncRNA signatures by Real time PCR, digital PCR or in situ hybridization; and functional analysis by siRNA or CRISPR based methods for lncRNA silencing or overexpression. Lipid based nanoparticles for delivery of siRNAs in vivo, lncRNA-protein interactions, viral lncRNAs and circRNAs are also treated in this volume. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and practical, Long Non-Coding RNAs in Cancer aims to provide a collection of laboratory protocols, bioinformatic pipelines, and review chapters to further research in this vital field.
Application of Bioinformatics in Cancers
Application of Bioinformatics in Cancers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Application of Bioinformatics in Cancers write by Chad Brenner. This book was released on 2019-11-20. Application of Bioinformatics in Cancers available in PDF, EPUB and Kindle. This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
