Epigenetics in Psychiatry

This PDF book is become immediate popular in Science genre. Epigenetics in Psychiatry is written by famous author Jacob Peedicayil and Ready to Download in ePUB, PDF or Kindle formats. Released by Academic Press in 2021-08-16. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Epigenetics in Psychiatry book.

Epigenetics in Psychiatry
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Publisher : Academic Press
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ISBN : 9780128235782
Pages : 846 pages
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Epigenetics in Psychiatry by Jacob Peedicayil Book PDF Summary

Epigenetics in Psychiatry, Second Edition covers all major areas of psychiatry in which extensive epigenetic research has been performed, fully encompassing a diverse and maturing field, including drug addiction, bipolar disorder, epidemiology, cognitive disorders, and the uses of putative epigenetic-based psychotropic drugs. Uniquely, each chapter correlates epigenetics with relevant advances across genomics, transcriptomics, and proteomics. The book acts as a catalyst for further research in this growing area of psychiatry. This new edition has been fully revised to address recent advances in epigenetic understanding of psychiatric disorders, evoking data consortia (e.g., CommonMind, ATAC-seq), single cell analysis, and epigenome-wide association studies to empower new research. The book also examines epigenetic effects of the microbiome on psychiatric disorders, and the use of neuroimaging in studying the role of epigenetic mechanisms of gene expression. Ongoing advances in epigenetic therapy are explored in-depth. Fully revised to discuss new areas of research across neuronal stem cells, cognitive disorders, and transgenerational epigenetics in psychiatric disease Relates broad advances in psychiatric epigenetics to a modern understanding of the genome, transcriptome, and proteins Catalyzes knowledge discovery in both basic epigenetic biology and epigenetic targets for drug discovery Provides guidance in research methods and protocols, as well how to employ data from consortia, single cell analysis, and epigenome-wide association studies (EWAS) Features chapter contributions from international leaders in the field


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