RNA-Seq and SCA Could Have a Huge Impact on Personalized Medicine
Analysis of the RNA-Seq and SCA Publication Landscape
from Genetic Engineering News by Enal Razvi, Ph.D. and Gary Oosta, Ph.D.
Select Biosciences performed an analysis on the RNA-Seq space—one of the exciting segments of the broader next-generation sequencing (NGS) space as it impacts single cell analysis (SCA). We analyzed the overall SCA field and identified publications focusing on RNA-Seq, which allows an insight into the transcriptome of cells in various physiological and pathological states. We seek to frame this data into the big picture of the trajectory of RNA-Seq and SCA and their potential impact in personalized medicine.
Introduction and Research Methodology
RNA-Seq represents an expanding subset of the broader next-generation sequencing (NGS) marketplace, and there is growing interest in this space fueled by the potential of RNA-Seq to provide a window into the RNA compartment of the cell under different physiological and pathological situations. There is also growing interest in the RNA biomarker cargo derived from extracellular vesicles (EVs) as well as circulating RNA molecules that offer the potential for liquid biopsy development. SCA is an emerging discipline with a variety of applications and potential in-roads into the diagnostics realm. Our goal was to understand the various segments of the SCA space in this study since we believe that SCA is a broad and amorphous space intersecting with NGS/RNA-Seq as a means to interrogate the genomic and transcriptomic content of individual cells.
Publications Trends in SCA and RNA-Seq
Given the large number of researchers involved in RNA-Seq, we analyzed the landscape of RNA-Seq via a bottom-up publications analysis as a means to identify trends that are emerging in the field. Furthermore, an en bloc publications analysis is critical to identifying small market segments that may eventually expand and dominate the field. We performed a similar analysis on the SCA space.
Analysis of the RNA-Seq and SCA Publication Landscape
from Genetic Engineering News by Enal Razvi, Ph.D. and Gary Oosta, Ph.D.
Select Biosciences performed an analysis on the RNA-Seq space—one of the exciting segments of the broader next-generation sequencing (NGS) space as it impacts single cell analysis (SCA). We analyzed the overall SCA field and identified publications focusing on RNA-Seq, which allows an insight into the transcriptome of cells in various physiological and pathological states. We seek to frame this data into the big picture of the trajectory of RNA-Seq and SCA and their potential impact in personalized medicine.
Introduction and Research Methodology
RNA-Seq represents an expanding subset of the broader next-generation sequencing (NGS) marketplace, and there is growing interest in this space fueled by the potential of RNA-Seq to provide a window into the RNA compartment of the cell under different physiological and pathological situations. There is also growing interest in the RNA biomarker cargo derived from extracellular vesicles (EVs) as well as circulating RNA molecules that offer the potential for liquid biopsy development. SCA is an emerging discipline with a variety of applications and potential in-roads into the diagnostics realm. Our goal was to understand the various segments of the SCA space in this study since we believe that SCA is a broad and amorphous space intersecting with NGS/RNA-Seq as a means to interrogate the genomic and transcriptomic content of individual cells.
Publications Trends in SCA and RNA-Seq
Given the large number of researchers involved in RNA-Seq, we analyzed the landscape of RNA-Seq via a bottom-up publications analysis as a means to identify trends that are emerging in the field. Furthermore, an en bloc publications analysis is critical to identifying small market segments that may eventually expand and dominate the field. We performed a similar analysis on the SCA space.
Analysis of the RNA-Seq and SCA Publication Landscape
from Genetic Engineering News by Enal Razvi, Ph.D. and Gary Oosta, Ph.D.
Select Biosciences performed an analysis on the RNA-Seq space—one of the exciting segments of the broader next-generation sequencing (NGS) space as it impacts single cell analysis (SCA). We analyzed the overall SCA field and identified publications focusing on RNA-Seq, which allows an insight into the transcriptome of cells in various physiological and pathological states. We seek to frame this data into the big picture of the trajectory of RNA-Seq and SCA and their potential impact in personalized medicine.
Introduction and Research Methodology
RNA-Seq represents an expanding subset of the broader next-generation sequencing (NGS) marketplace, and there is growing interest in this space fueled by the potential of RNA-Seq to provide a window into the RNA compartment of the cell under different physiological and pathological situations. There is also growing interest in the RNA biomarker cargo derived from extracellular vesicles (EVs) as well as circulating RNA molecules that offer the potential for liquid biopsy development. SCA is an emerging discipline with a variety of applications and potential in-roads into the diagnostics realm. Our goal was to understand the various segments of the SCA space in this study since we believe that SCA is a broad and amorphous space intersecting with NGS/RNA-Seq as a means to interrogate the genomic and transcriptomic content of individual cells.
Publications Trends in SCA and RNA-Seq
Given the large number of researchers involved in RNA-Seq, we analyzed the landscape of RNA-Seq via a bottom-up publications analysis as a means to identify trends that are emerging in the field. Furthermore, an en bloc publications analysis is critical to identifying small market segments that may eventually expand and dominate the field. We performed a similar analysis on the SCA space.
(read more at GEN…)
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Analysis of the RNA-Seq and SCA Publication Landscape
from Genetic Engineering News by Enal Razvi, Ph.D. and Gary Oosta, Ph.D.
Select Biosciences performed an analysis on the RNA-Seq space—one of the exciting segments of the broader next-generation sequencing (NGS) space as it impacts single cell analysis (SCA). We analyzed the overall SCA field and identified publications focusing on RNA-Seq, which allows an insight into the transcriptome of cells in various physiological and pathological states. We seek to frame this data into the big picture of the trajectory of RNA-Seq and SCA and their potential impact in personalized medicine.
Introduction and Research Methodology
RNA-Seq represents an expanding subset of the broader next-generation sequencing (NGS) marketplace, and there is growing interest in this space fueled by the potential of RNA-Seq to provide a window into the RNA compartment of the cell under different physiological and pathological situations. There is also growing interest in the RNA biomarker cargo derived from extracellular vesicles (EVs) as well as circulating RNA molecules that offer the potential for liquid biopsy development. SCA is an emerging discipline with a variety of applications and potential in-roads into the diagnostics realm. Our goal was to understand the various segments of the SCA space in this study since we believe that SCA is a broad and amorphous space intersecting with NGS/RNA-Seq as a means to interrogate the genomic and transcriptomic content of individual cells.
Publications Trends in SCA and RNA-Seq
Given the large number of researchers involved in RNA-Seq, we analyzed the landscape of RNA-Seq via a bottom-up publications analysis as a means to identify trends that are emerging in the field. Furthermore, an en bloc publications analysis is critical to identifying small market segments that may eventually expand and dominate the field. We performed a similar analysis on the SCA space.
(read more at GEN…)
Related Posts
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence
RNA sequencing helps predict stem cell transplant benefit in pediatric AML
Protein ‘switch’ determines whether liposarcoma cells will become aggressive
Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis
Ketamine increases neuroplasticity in female mice but not in males
Somatic mutations linked to vascular damage in progeria
Scientists map dormant cancer cells’ hideouts, opening new targets for treatment
Soluble signals released by neighboring cells direct how the human kidney is built
Genetics influence how cancer arises – and how it evolves
RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
Learning the grammar of gene regulation
New findings could transform new treatment for rare brain tumor astroblastoma
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