Transcriptomics in health and disease /Geraldo A. Passos, editors.

Includes bibliographies and index.

Concluding Remarks and Perspectives

Index.

Part I Basic Principles of the Transcriptome and Its Analysis

Part II Transcriptome in Disease

Transcriptome Profiling in Autoimmune Diseases / Cristhianna V. A. Collares and Eduardo A. Donad -- Transcriptome Profiling in Experimental Inflammatory Arthritis / Olga Martinez Ibanez, Jose Ricardo Jensen, and Marcelo De Franco -- Trannscriptomics and Immune Response in Human Cancer / L. P. Chaves, C. M. Melo, W. L utert-Dutra, A. L. Caliari, and J. A. Squire -- MicroRNAs in Cancer / Adriane F. Evangelista, Ana Julia A. de Freitas, Muriele B. Varuzza, Rhafaela L. Causin, Tatiana T. Komoto, and Marcia M. C. Marques -- Oxidative Stress, DNA Damage, and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitu / Jessica Ellen B. F. Lima, Natalia C. S. Moreira, Paula Takahashi, Danilo J. Xavier, and Elza T. Sakamoto-Rojo -- Large-Scale Gene Expression in Monogenic and Complex Genetic Diseases / Anette S. B. Wolff, Adam Handel, and Bergithe E. Oftedal -- Transcriptome in Human Mycoses / Nalu T. A. Peres, Tamires A. Bitencourt, Gabriela F. Persinoti, Elza A. S. Lang, Antonio Rossi, and Nike M. Martinez-Rossi -- Understanding Chagas Disease by Multi-omics Data Integration, Functional, and Enrichment Computational Analysis / Ludmila Rodrigues Pinto Ferreira

What Is the Transcriptome and How It Is Evaluated / Amanda F. Assis, Ernna H. Oliveira, Paula B. Donate, Silvana Giuliatti, Catherine Nguyen, and Geraldo A. Passos -- Alternative Splicing of Pre-messenger RNA / Vanessa Cristina Arfelli and Leticia Frohlich Ai;changelo -- Transcriptome Analysis Using RNA-seq and scRNA-s / Waldeyr Mendes Cordeiro Silva, Fabian-Andres Hurtado, Kelly Simi, Pedro Henrique Aragao Bai'i•6 , Dimitri Sokolowskei, Ildinete Silva-Pereira, Maria Emilia Walter, and Marcelo Brigido -- Transcriptomics of Neonatal and Infant Human Thymus / Carlos Alberto Moreira-Filho, Silvia Yurni Bando, Fernanda Bernardi Bertonha, and Magda Carneiro-Sarnpaio -- Transcriptomics at the Single Cell Level and Human Diseases: Opportunities and Challenges in Data Processing and Analysis / Vinicius Maracaja-Coutinho and Patricia Severino -- Methods for Gene Co-expression Network Visualization and Analysis / Carlos Alberto Moreira-Filho, Silvia Yumi Bando, Fernanda Bernardi Bertonha, Filipi Nascimento Silva, and Luciano da Fontoura Costa -- Comparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data / Natalie Charitakis, Mirana Ramialison, and Hieu T. Nim -- The Interplay Between the Ta·anscriptomics and Proteomics Profiles / John Oluwafemi Teibo, Virgfnia Campos Silve trini, Alessandra P. Varga , Guilherme Pauperio Lanfredi, and Vftor Marcel Fa a -- n·anscriptome During Normal Cell Differentiation / Karina FitLipaldi Bombonato-Prado, Adalberto Luiz Ro a, Paulo Tamba co de Oliveira, Janaina Andrea Dernowsek, Vanes a Fontana, Adriane Fcij6 Evangeli ra, and Geraldo A. Pa s -- Transcriptomics to Dis ect tbe Immune System / Hideyuki Yo hicla, Mil uru Matsumoto, and Minoru Mat umolo

The study of transcriptomics is key to understanding complex diseases. This new edition will build on the foundation of the first edition while incorporating the progress that has been made in the field of transcriptomics in the past six years, including bioinformatics for data analysis. Written by leading experts, chapters address new subjects such as methodological advances in large-scale sequencing, the sequencing of single-cells, and spatial transcriptomics. The new edition will address how transcriptomics may be used in combination with genetic strategies to identify causative genes in monogenic and complex genetic diseases. Coverage will also explore transcriptomics in challenging groups of diseases, such as cancer, inflammation, bacterial infection, and autoimmune diseases. The updated volume will be useful for geneticists, genome biologists, biomedical researchers, molecular biologists, bioinformaticians, and students, among others.

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