Transcriptomics in health and disease /Geraldo A. Passos, editors.
Passos, Geraldo A.,
Transcriptomics in health and disease /Geraldo A. Passos, editors. - second edition. - Cham, Switzerland : Springer, (c)2022. - xi, 475 pages : graphs, charts : 24 cm
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 / Transcriptome Profiling in Experimental Inflammatory Arthritis / Trannscriptomics and Immune Response in Human Cancer / MicroRNAs in Cancer / Oxidative Stress, DNA Damage, and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitu / Large-Scale Gene Expression in Monogenic and Complex Genetic Diseases / Transcriptome in Human Mycoses / Understanding Chagas Disease by Multi-omics Data Integration, Functional, and Enrichment Computational Analysis / Cristhianna V. A. Collares and Eduardo A. Donad -- Olga Martinez Ibanez, Jose Ricardo Jensen, and Marcelo De Franco -- L. P. Chaves, C. M. Melo, W. L utert-Dutra, A. L. Caliari, and J. A. Squire -- Adriane F. Evangelista, Ana Julia A. de Freitas, Muriele B. Varuzza, Rhafaela L. Causin, Tatiana T. Komoto, and Marcia M. C. Marques -- Jessica Ellen B. F. Lima, Natalia C. S. Moreira, Paula Takahashi, Danilo J. Xavier, and Elza T. Sakamoto-Rojo -- Anette S. B. Wolff, Adam Handel, and Bergithe E. Oftedal -- Nalu T. A. Peres, Tamires A. Bitencourt, Gabriela F. Persinoti, Elza A. S. Lang, Antonio Rossi, and Nike M. Martinez-Rossi -- Ludmila Rodrigues Pinto Ferreira What Is the Transcriptome and How It Is Evaluated / Alternative Splicing of Pre-messenger RNA / Transcriptome Analysis Using RNA-seq and scRNA-s / Transcriptomics of Neonatal and Infant Human Thymus / Transcriptomics at the Single Cell Level and Human Diseases: Opportunities and Challenges in Data Processing and Analysis / Methods for Gene Co-expression Network Visualization and Analysis / Comparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data / The Interplay Between the Ta·anscriptomics and Proteomics Profiles / n·anscriptome During Normal Cell Differentiation / Transcriptomics to Dis ect tbe Immune System / Amanda F. Assis, Ernna H. Oliveira, Paula B. Donate, Silvana Giuliatti, Catherine Nguyen, and Geraldo A. Passos -- Vanessa Cristina Arfelli and Leticia Frohlich Ai;changelo -- 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 -- Carlos Alberto Moreira-Filho, Silvia Yurni Bando, Fernanda Bernardi Bertonha, and Magda Carneiro-Sarnpaio -- Vinicius Maracaja-Coutinho and Patricia Severino -- Carlos Alberto Moreira-Filho, Silvia Yumi Bando, Fernanda Bernardi Bertonha, Filipi Nascimento Silva, and Luciano da Fontoura Costa -- Natalie Charitakis, Mirana Ramialison, and Hieu T. Nim -- John Oluwafemi Teibo, Virgfnia Campos Silve trini, Alessandra P. Varga , Guilherme Pauperio Lanfredi, and Vftor Marcel Fa a -- 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 -- 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.
303087821X 9783030878214
RNA--Health aspects.
MEDICAL.
QP623 / .T736 2022
Transcriptomics in health and disease /Geraldo A. Passos, editors. - second edition. - Cham, Switzerland : Springer, (c)2022. - xi, 475 pages : graphs, charts : 24 cm
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 / Transcriptome Profiling in Experimental Inflammatory Arthritis / Trannscriptomics and Immune Response in Human Cancer / MicroRNAs in Cancer / Oxidative Stress, DNA Damage, and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitu / Large-Scale Gene Expression in Monogenic and Complex Genetic Diseases / Transcriptome in Human Mycoses / Understanding Chagas Disease by Multi-omics Data Integration, Functional, and Enrichment Computational Analysis / Cristhianna V. A. Collares and Eduardo A. Donad -- Olga Martinez Ibanez, Jose Ricardo Jensen, and Marcelo De Franco -- L. P. Chaves, C. M. Melo, W. L utert-Dutra, A. L. Caliari, and J. A. Squire -- Adriane F. Evangelista, Ana Julia A. de Freitas, Muriele B. Varuzza, Rhafaela L. Causin, Tatiana T. Komoto, and Marcia M. C. Marques -- Jessica Ellen B. F. Lima, Natalia C. S. Moreira, Paula Takahashi, Danilo J. Xavier, and Elza T. Sakamoto-Rojo -- Anette S. B. Wolff, Adam Handel, and Bergithe E. Oftedal -- Nalu T. A. Peres, Tamires A. Bitencourt, Gabriela F. Persinoti, Elza A. S. Lang, Antonio Rossi, and Nike M. Martinez-Rossi -- Ludmila Rodrigues Pinto Ferreira What Is the Transcriptome and How It Is Evaluated / Alternative Splicing of Pre-messenger RNA / Transcriptome Analysis Using RNA-seq and scRNA-s / Transcriptomics of Neonatal and Infant Human Thymus / Transcriptomics at the Single Cell Level and Human Diseases: Opportunities and Challenges in Data Processing and Analysis / Methods for Gene Co-expression Network Visualization and Analysis / Comparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data / The Interplay Between the Ta·anscriptomics and Proteomics Profiles / n·anscriptome During Normal Cell Differentiation / Transcriptomics to Dis ect tbe Immune System / Amanda F. Assis, Ernna H. Oliveira, Paula B. Donate, Silvana Giuliatti, Catherine Nguyen, and Geraldo A. Passos -- Vanessa Cristina Arfelli and Leticia Frohlich Ai;changelo -- 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 -- Carlos Alberto Moreira-Filho, Silvia Yurni Bando, Fernanda Bernardi Bertonha, and Magda Carneiro-Sarnpaio -- Vinicius Maracaja-Coutinho and Patricia Severino -- Carlos Alberto Moreira-Filho, Silvia Yumi Bando, Fernanda Bernardi Bertonha, Filipi Nascimento Silva, and Luciano da Fontoura Costa -- Natalie Charitakis, Mirana Ramialison, and Hieu T. Nim -- John Oluwafemi Teibo, Virgfnia Campos Silve trini, Alessandra P. Varga , Guilherme Pauperio Lanfredi, and Vftor Marcel Fa a -- 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 -- 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.
303087821X 9783030878214
RNA--Health aspects.
MEDICAL.
QP623 / .T736 2022