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Integrative Multi-Omics and Transcriptomic Profiling of Reproductive Tract Disorders: From Molecular Mechanisms to Precision Medicine

A Special Issue of Current Issues in Molecular Biology (ISSN 1467-3045) belonging to the section "Bioinformatics and Systems Biology".

Deadline for manuscript submissions: 30 November 2026 | Viewed by 284

Editor


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Guest Editor
Department of Precision Medicine, University of Campania ‘L. Vanvitelli’, 80138 Naples, Italy
Interests: molecular biology, genetics and computational biology; genetic mutations in infertility and cancer; trace element analysis in health; machine learning for protein and disease modeling; personalized medicine and diagnostics; environmental impacts on health; innovations in genomics, biomedicine, and environmental health; genetics; cell biology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Reproductive tract disorders include ovarian, endometrial, and cervical cancers, endometriosis, uterine fibroids, and male infertility due to genetic or acquired testicular dysfunction. These conditions share overlapping molecular pathways involving DNA repair, hormonal regulation, and immune surveillance. A clearer understanding of these mechanisms is needed to improve diagnosis and treatment.

This Special Issue focuses on the application of multi-omics and transcriptomic approaches to reproductive tract disorders. We invite studies that use genomic, transcriptomic, proteomic, or metabolomic data to address clinically relevant questions. Submissions that integrate multiple layers of molecular information are of particular interest. Work employing single-cell or spatial transcriptomics, machine learning for biomarker identification, or network-based analyses is welcome.

Topics of interest include:

  • Multi-omics integration for biomarker discovery and patient stratification;
  • Single-cell and spatial transcriptomics of reproductive tissues and tumors;
  • Genetic and epigenetic determinants of male and female infertility;
  • Molecular mechanisms of therapy resistance in reproductive cancers;
  • Liquid biopsy approaches for disease monitoring;
  • Computational methods for assessing preclinical model fidelity.

We encourage submissions of original research, methods papers, and reviews that emphasize biological validation and clinical relevance.

Dr. Ahsanullah Unar
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Current Issues in Molecular Biology 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 2400 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
  • transcriptomics
  • reproductive tract disorders
  • gynecological cancers
  • male infertility
  • single-cell sequencing
  • spatial transcriptomics
  • machine learning
  • precision medicine
  • biomarkers

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Published Papers

This special issue is now open for submission.
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