Special Issue "Multi-Omics Approach to COVID-19"

A special issue of COVID (ISSN 2673-8112).

Deadline for manuscript submissions: 30 June 2023 | Viewed by 1320

Special Issue Editor

Medical Genetics and Applied Genomics NGS Competence Centre Tübingen (NCCT), Research Institute of Women's Hospital Calwerstraße 7, 72076 Tübingen, Germany
Interests: COVID-19; T cells; metabolomics; transcriptomics; genomics; machine learning

Special Issue Information

Dear Colleagues,

It has been more than 2 years since the COVID-19 pandemic began; however, infection continues despite the COVID-19 vaccines that have been developed. Due to the mutation in spike protein of the SARS-CoV-2 virus, and the waning immunity that occurs 6–8 months post-vaccination, we are still liable to become infected with the virus and develop COVID-19 even after prior infection. The effect of long-term COVID-19 syndrome (LTCS) throughout the world is devastating, and there is still a knowledge gap regarding how our immune system is affected after virus infection. Therefore, understanding the mechanism the virus, and how it leads to LTCS, should be addressed by modulating the different functions of immune cells using multi-omics tools (genomic, transcriptomic, proteomic, metabolomic, and lipidomic, etc.). Thus, we invite you to submit any original research article, review, or commentary to the COVID journal detailing your exciting and cutting-edge data on COVID-19-related research on patients, animal models, or in vitro model systems which include multi-omics tools.

Dr. Yogesh Singh
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. COVID is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • COVID-19
  • immune cells (innate and adaptive)
  • NK cells
  • MAIT
  • metabolites
  • transcriptomics
  • RNA-seq
  • protein
  • 1H-NMR
  • genes
  • inflammation

Published Papers (1 paper)

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Research

Article
Spatial Mapping of Genes Implicated in SARS-CoV-2 Neuroinvasion to Dorsolateral Prefrontal Cortex Gray Matter
COVID 2023, 3(1), 82-89; https://doi.org/10.3390/covid3010005 - 06 Jan 2023
Cited by 1 | Viewed by 937
Abstract
Introduction: SARS-CoV-2 is the newest beta coronavirus family member to demonstrate neuroinvasive capability in severe cases of infection. Despite much research activity in the SARS-CoV-2/COVID-19 space, the gene-level biology of this phenomenon remains poorly understood. In the present analysis, we leveraged spatial transcriptomics [...] Read more.
Introduction: SARS-CoV-2 is the newest beta coronavirus family member to demonstrate neuroinvasive capability in severe cases of infection. Despite much research activity in the SARS-CoV-2/COVID-19 space, the gene-level biology of this phenomenon remains poorly understood. In the present analysis, we leveraged spatial transcriptomics methodologies to examine relevant gene heterogeneity in tissue retrieved from the human prefrontal cortex. Methods: Expression profiles of genes with established relations to the SARS-CoV-2 neuroinvasion process were spatially resolved in dorsolateral prefrontal cortex tissue (N = 4). Spotplots were generated with mapping to six (6) previously defined gray matter layers. Results: Docking gene BSG, processing gene CTSB, and viral defense gene LY6E demonstrated similar spatial enrichment. Docking gene ACE2 and transmembrane series proteases involved in spike protein processing were lowly expressed across DLPFC samples. Numerous other findings were obtained. Conclusion: Efforts to spatially represent expression levels of key SARS-CoV-2 brain infiltration genes remain paltry to date. Understanding the sobering history of beta coronavirus neuroinvasion represents a weak point in viral research. Here we provide the first efforts to characterize a motley of such genes in the dorsolateral prefrontal cortex. Full article
(This article belongs to the Special Issue Multi-Omics Approach to COVID-19)
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