Advances in Multi-Omics Sequencing Data in Biological Systems

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Cellular and Molecular Bioengineering".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 866

Special Issue Editor


E-Mail Website
Guest Editor
Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
Interests: computational biology; scRNA-seq data; cancer omics; bioinformatics

Special Issue Information

Dear Colleagues,

Multi-omics sequencing is a rapidly evolving field in biological sciences, integrating various types of omics data such as genomics, transcriptomics, proteomics, and metabolomics. This integrative approach provides a comprehensive understanding of biological systems by capturing data from multiple molecular layers, thus offering deeper insights into the complex interactions within cells, tissues, and organisms. The application of multi-omics has revolutionized our ability to study diseases, cellular processes, and organismal responses to environmental changes. For instance, in cancer research, multi-omics approaches have facilitated the identification of novel biomarkers and therapeutic targets by linking genetic mutations to changes in gene expression, protein function, and metabolic pathways.

This holistic perspective allows researchers to unravel the complexity of biological systems, making it possible to identify key regulatory networks and pathways that would be overlooked when using a single omics approach. As technology advances, the integration of multi-omics data is expected to play a pivotal role in personalized medicine, drug discovery, and the development of more effective therapeutic strategies. By combining data from different omics layers, researchers can achieve a more nuanced understanding of the molecular mechanisms driving health and disease, ultimately leading to more precise interventions and treatments.

This Special Issue on “Advances of Multi-Omics Sequencing Data in Biological Systems” invites original research papers and comprehensive reviews about the latest progress of Multi-Omics data and its application in cellular biology, human disease and computational algorithms.

Dr. Wenjiang Deng
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. Bioengineering 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 2700 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

  • multi-omics
  • sequencing data
  • next-generation sequencing
  • bioinformatics
  • computational biology
  • statistical algorithms
  • single cell data
  • human diseases

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 2294 KiB  
Article
Systemic Lipid Metabolism Dysregulation as a Possible Driving Force of Fracture Non-Unions?
by Lovorka Grgurević, Ruđer Novak, Lucija Jambrošić, Marko Močibob, Morana Jaganjac, Mirna Halasz, Grgur Salai, Stela Hrkač, Milan Milošević, Tomislav Vlahović, Jeronim Romić, Dražen Matičić and Dinko Vidović
Bioengineering 2024, 11(11), 1135; https://doi.org/10.3390/bioengineering11111135 - 11 Nov 2024
Viewed by 572
Abstract
Introduction: Non-unions are fractures that do not heal properly, resulting in a false joint formation at the fracture site. This condition leads to major health issues and imposes a burden on national healthcare systems. The etiology of non-unions is still not fully understood; [...] Read more.
Introduction: Non-unions are fractures that do not heal properly, resulting in a false joint formation at the fracture site. This condition leads to major health issues and imposes a burden on national healthcare systems. The etiology of non-unions is still not fully understood; therefore, we aimed to identify potential systemic factors that may contribute to their formation. Materials and methods: We conducted a cross-sectional concomitant proteomic and metabolomic pilot study of blood plasma in patients with non-unions (N = 11) and compared them with patients with bone fracture in the normal active healing phase (N = 12). Results: We found five significantly upregulated proteins in the non-union group: immunoglobulin heavy variable 3–74, immunoglobulin lambda variable 2–18, low-density lipoprotein receptor-related protein 4, zinc-alpha-2-glycoprotein, and serum amyloid A-1 protein; and we found one downregulated protein: cystatin-C. The metabolomic study found differences in alanine, aspartate and glutamate metabolism pathways between two groups. Conclusions: The combined results of proteomic and metabolomic analyses suggest that the dysregulation of lipid metabolism may contribute to non-union formation. Full article
(This article belongs to the Special Issue Advances in Multi-Omics Sequencing Data in Biological Systems)
Show Figures

Graphical abstract

Back to TopTop