Special Issue "New Insights in Biology of Depression: New Molecules and Approaches"

Submission Deadline: 31 December 2020 (closed)
Guest Editors
Prof. Julia Fedotova,ITMO University, Russia
Prof. Lucian Hritcu, Universitatea Alexandru Ioan Cuza, Roumania
Prof. Peter Kruzliak, Comenius University, Slovakia
Prof. Vittorio Unfer, nstitut des Etudes Universitaires, Switzerland

Summary

Today's approaches to dissect the neurobiology of depression employ an unprecedented array of experimental techniques in humans and animals, including genome-wide DNA sequencing, chromatin immunoprecipitation to study epigenetic factors, functional brain imaging, optogenetic electrophysiological tools, viral-mediated gene transfer and an impressive assortment of genetic mutant mice. The list of molecular players involved in depression's phenotypes has now expanded to include genes from diverse aspects of cellular physiology such as numerous neurotransmitter and neuropeptide systems, steroid hormones, neurotrophic and cytokine signaling cascades, ion channels, circadian genes, phytochemicals, and many others. Most of the new targets are derived from experiments in rodents and, while these studies are scientifically sound, the targets themselves may or may not be therapeutically relevant or feasible for human depression.

This special issue in the journal BIOCELL is intended to new molecules and new approaches for treatment of depression in preclinical and clinical studies.


Keywords
Neurobiology, Depression, Treatment of Mood Disorders, Novel Molecules, Novel Approaches

Published Papers


  • Expression profiling of immune cells in systemic lupus erythematosus by single-cell RNA sequencing
  • Abstract Systemic lupus erythematosus (SLE) is a systemic autoimmune disease characterized by abnormal cellular and humoral immune responses and excessive autoantibody production. The precise pathologic mechanism of SLE remains elusive. The advent of single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the molecular differences of cell populations at the single-cell level. We used scRNA-seq to profile the transcriptomes of peripheral blood mononuclear cells from an SLE patient compared with a healthy control (HC). A total of 16,021 cells were analyzed and partitioned into 12 distinct clusters. The marker genes of each cluster and the four major immune cell types (B cells,… More
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