Transcriptomics in Health and Disease
After sequencing the human genome a decade ago, researchers have continued their projects, but now to try to better understand how, and when, genes are expressed in health and disease. Efforts have been concentrated on the measurement of the expression of RNA transcripts. In an analogy to the genome...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Part 1: Basic Principles of the Transcriptome and its Analysis
- What is the Transcriptome and how it is Evaluated?
- Transcriptome Analysis Throughout RNA-seq
- Identification of Biomarkers and Expression Signatures
- Methods for Gene Co-expression Network Visualization and Analysis
- Posttranscriptional Control During Stem Cells Differentiation
- Transcriptome Analysis During Normal Human Mesenchymal Stem Cell Differentiation
- Part II: Transcriptome in Disease
- Thymus Gene Co-expression Networks: A comparative study in children with and without down syndrome
- Transcriptome Profiling in Autoimmune Diseases
- Expression of DNA Repair and Response to Oxidative Stress Genes in Diabetes Mellitus
- MicroRNAs in Cancer
- Transcriptome Profiling in Chronic Inflammatory Diseases of the Musculoskeletal System
- Transcriptome Profiling in Experimental Inflammatory Arthritis
- Transcriptome in Human Mycoses
- Transcriptomics of the Host-pathogen Interaction in Paracoccidioidomycosis
- Dissecting Tuberculosis through Transcriptomic Studies
- Understanding chagas Disease by Genome and Transcriptome Exploration
- Expression Tests in Actual Clinical Practice: How medically useful is the transcriptome?
- Conclusions
- Index.
