Rapid growth in the various clinical research programs are augmenting the demand for transcriptomics technologies
Transcriptomics
is rapidly developing as a scientific discipline with great market potential.
The main drivers behind the fast development include the ability to produce
personalized health products, the ability to deliver superior healthcare
products and services, and the ability to create genetically customized viruses
Pathology
and therapeutic applications of transcripts in pathophysiological diseases and
normal disorders are dictated by genetic and cellular factors. As such, transcriptomics
technologies are required to track and isolate novel DNA elements
specific to pathologies and target gene targets. Transcriptomics technologies
bring together various methods of data analysis and biological data gathering
to identify, monitor, and manage the transcriptional network of an organism.
Among the various technologies used, RNASarser and RNA-specific Network Ab
Initio (RNAS) are the two most extensively used technologies in the field of
transcriptomics. RNASarser refers to RNA-guided biochemical probes to RNAS
identify ribosomal RNAs and their association with transcription elongation
factors. These elongated RNAs play an important role in controlling
transcription in an organism. Based on these, RNAS technologies are designed to
identify the elongated RNAs and study their association with transcription
factors. Since many elongated RNAs are not conserved between species, RNAS
techniques can also be used to study non-sequential RNAs.
With
a rapid increase in the usage of laboratory equipment and an increase in the
number of scientific papers published each year, there has been an immense
increase in the research efforts to use transcriptomics technologies to
identify the exact role of genes in biological processes. The main aim of these
research efforts is to find ways to maintain or repair gene function during
biological replications. It has also been proposed that transcriptomics can be
used to study gene function during normal and disease states. Here is a quick
overview of what transcriptomics technology is all about and its potential
impact in the field of medical science.
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