Identification of Novel Disease Mechanisms and Biomarkers Using High-Throughput Sequencing Techniques
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5504
Special Issue Editors
Interests: high-throughput sequencing technique development and omics data mining for precision medicine; sequencing data analysis tool and database development; identification of novel disease biomarkers
Special Issues, Collections and Topics in MDPI journals
Interests: mechanisms of tumor development; tumor diagnosis and prognosis; tumor-immunotherapy-related biomarker research
Special Issues, Collections and Topics in MDPI journals
Interests: multi-omic data integration; tumor-immunotherapy-related biomarker identification; microbiome analysis
Special Issue Information
Dear Colleagues,
With the rapid development of sequencing techniques, high-throughput sequencing (HTS) is now revolutionizing different aspects of life science and clinical study. The millions of sequencing reads produced by HTS could determine various mutations at the genomic level, accurately quantify gene expression at the transcriptomic level, and identify histone or DNA modification at the epigenomic level. The accumulation of huge multi-omics data has led to the identification of novel disease biomarkers and mechanisms. With HTS, various disease (e.g., cancer, diabetes, and arthritis) markers have been developed at different omics levels, which have been used for disease diagnosis, disease prevention, and the prediction of treatment effects. The quickly acquired multi-omics data, together with newly developed algorithms, provide an excellent chance to reveal novel disease markers and the underlying mechanisms. The aim of this research topic includes:
(1) Developing new disease markers at various omics levels using high-throughput sequencing; and
(2) Using omics data to reveal new mechanisms for disease occurrence or development.
This topic covers a broad spectrum of interests, and studies based on wet lab or dry lab results are all welcomed. In addition, studies successfully uncovering marker-related disease mechanisms are highly preferred.
Dr. Hua Li
Dr. Lei Shi
Dr. Jun Wu
Dr. Shoudan Liang
Guest Editors
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Keywords
- Biomarker identification
- Disease mechanism investigation
- Sequencing data analysis
- Sequencing techniques
- Multi-omics study
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