Transcriptomics is a rapidly growing field that generates new data that may be used on its own or in combination with existing clinical data for development of new therapeutics, including gene therapy

Authors

  • Moataz Dowaidar

Abstract

Transcriptomics is a rapidly growing field that generates new data that may be used on its own or in combination with existing clinical data to widen and affect the future of healthcare. While the majority of current applications are limited to research, a growing number of studies suggest that transcriptomics has applications in diagnostics, genomics-driven trial design, and the creation of personalized medicines. Blood samples can be collected in general practice and submitted to a central lab for analysis and interpretation before being provided to the doctor, allowing for greater clinical acceptance of experimental hypotheses. The transcriptome's immense complexity has been revealed by transcriptomics, and we're just beginning to understand how this translates to function, disease, and therapeutic options.

 

Published

2023-03-01

How to Cite

Moataz Dowaidar. (2023). Transcriptomics is a rapidly growing field that generates new data that may be used on its own or in combination with existing clinical data for development of new therapeutics, including gene therapy. SJIS-P, 35(2), 48–64. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/583

Issue

Section

Articles