Innovations and Prospects in Single Cell RNA-seq for Biomedical Research

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular Genetics and Genetic Diseases".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 101

Special Issue Editor

The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
Interests: human genetics; diabetes; precision medicine; infectious diseases

Special Issue Information

Dear Colleagues,

Single-cell RNA sequencing (scRNA-seq) is becoming an important tool for biomedical research, which has revolutionized our approach to addressing tissue and cellular heterogeneity and powered the study of gene expression dynamics. Recent technological advancements have significantly reduced costs, increased throughput, and facilitated the integration of multi-omic data. Despite these advancements, scRNA-seq still faces technical challenges, such as transcript-specific quantification, considering the significant functional roles of gene isoforms. Analyzing scRNA-seq data requires sophisticated computational tools, which are continuously being improved. Refining methods for data analysis and presentation is crucial for better interpretation and reproducibility of scRNA-seq data, which is essential for its wide adoption in biomedical research and potential clinical applications. Research efforts integrating scRNA-seq with other omic approaches, including genomics, epigenomics, and proteomics, hold great promise for making groundbreaking discoveries. Addressing these challenges and leveraging these opportunities will lead to novel insights into cellular biology and disease mechanisms, ultimately informing therapeutic interventions. Thus, this Special Issue of Biomedicines invites submissions on both applied and methodological studies, focusing on the research, development, and clinical applications of scRNA-seq.

Dr. Hui-Qi Qu
Guest Editor

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Keywords

  • bioinformatics
  • cellular heterogeneity
  • methodology
  • molecular biology
  • single-cell RNA sequencing
  • single-nucleus RNA sequencing
  • tissue heterogeneity
  • transcriptomics

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Published Papers

This special issue is now open for submission.
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