Advances in Transcriptomics
Transcriptomics technologies are the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts. The information content of an organism is recorded in the DNA of its genome and expressed through transcription. Here, mRNA serves as a transient intermediary molecule in the information network, whilst non-coding RNAs perform additional diverse functions. A transcriptome captures a snapshot in time of the total transcripts present in a cell. Transcriptomics technologies provide a broad account of which cellular processes are active and which are dormant. A major challenge in molecular biology is to understand how a single genome gives rise to a variety of cells. Another is how gene expr essio n is regulated.
In the present book, eleven typical literatures about transcrip tomics published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on transcr iptomics. We hope this book can demonstrate advances in transcri ptomics as well as give references to the researchers, students and other related people.
Sample Chapter(s)
Preface (176 KB)
Components of the Book:
  • Chapter 1
    Spatial Transcriptomics in Human Cardiac Tissue
  • Chapter 2
    Evolution of comparative transcriptomics: biological scales, phylogenetic spans, and modeling frameworks
  • Chapter 3
    Charting the cardiac landscape: Advances in spatial transcriptomics for heart biology
  • Chapter 4
    A Divergent Platelet Transcriptome in Patients with Lipedema and Lymphedema
  • Chapter 5
    A Meta-Review of Spatial Transcriptomics Analysis Software
  • Chapter 6
    Parsing Autism Heterogeneity: Transcriptomic Subgrouping of Imaging-Derived Phenotypes in Autism
  • Chapter 7
    GeneSurfer enables transcrip tome-wide exploration and annotation of gene co-expres sio n modules in 3D spatial transcriptomics data
  • Chapter 8
    Unraveling Psychiatric Disorders through Neural Single-Cell Transcriptomics Approaches
  • Chapter 9
    Transcriptomic profiling of Sjögren’s disease salivary glands identifies signatures associated with both follicular and extrafollicular responses linked to rheumatoid factor and anti-La/SSB seropositivity
  • Chapter 10
    Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives
  • Chapter 11
    Uterine Transcriptome: Understanding Physiology and Disease Processes
Readership: Students, academics, teachers and other people attending or interested in transcriptomics.
Quynh Nguyen
Division of Cardiac Surgery, Department of Surgery, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 2B9, Canada; Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC V6Z 1Y6, Canada

Elie N. Farah
Department of Medicine, Division of Cardiology, University of California, La Jolla, San Diego, CA, USA

Alliefair Scalise
Heart Vascular and Thoracic Institute, Department of Cardiovascular Medicine, Section of Vascular Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, USA

and more...
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