Uncovering the genetic makeup of patients using DNA sequencing has in recent years provided physicians and their patients with a greater understanding of how best to diagnose and treat the diseases that plague humanity. This is the essence of precision medicine.
Now, researchers at the Translational Genomics Research Institute (TGen) are showing how an even more detailed genetic analysis using RNA sequencing can vastly enhance that understanding, providing doctors and their patients with more precise tools to target the underlying causes of disease, and help recommend the best course of action.
In their review, published Monday in the journal Nature Reviews Genetics, TGen scientists highlight the many advantages of using RNA-sequencing in the detection and management of everything from cancer to infectious diseases, such as Ebola and the rapidly spreading Zika virus.
RNA’s principal role is to act as a messenger carrying instructions from DNA for the synthesis of proteins. Building on the insights provided by DNA profiling, the analysis of RNA provides an even more precise look at how cells behave and how medicine can intervene when things go wrong.
“RNA is a dynamic and diverse biomolecule with an essential role in numerous biological processes,” said Dr. Sara Byron, research assistant professor in TGen’s Center for Translational Innovation, and the review’s lead author. “From a molecular diagnostic standpoint, RNA-based measurements have the potential for broad application across diverse areas of human health, including disease diagnosis, prognosis, and therapeutic selection.”
DNA (deoxyribonucleic acid) sequencing spells out —in order— the billions of chemical letters that make up the genes that drive all of our biologic make up and functions, from hair and eye color to whether an individual may be predisposed to cancer or other diseases.
RNA (ribonucleic acid) sequencing provides information on the genes that are actively being made into RNA in a cell and are important for cell function. While more complex, RNA holds the promise of more precise measurement of the human physical condition.
There simply are more forms, or species, that RNA takes, explains Byron. “RNA-sequencing provides an deeper view of a patient’s genome, revealing detailed information on the diverse spectrum of RNAs being expressed.”
One of the most promising aspects of RNA-based measurements is the potential of using extracellular RNA (exRNAs) as a non-invasive diagnostic indicator of disease. Monitoring exRNA simply takes a blood sample, as opposed to doing a tumor biopsy, which essentially is a minor surgery with greater risks and costs.
“The investigation of exRNAs in biofluids to monitor disease is an area of diagnostic research that is growing rapidly,” said Dr. Kendall Van Keuren-Jensen, TGen associate professor of neurogenomics, co-director of TGen’s Center for Noninvasive Diagnostics, and one of the review’s authors. “Measurement of exRNA is appealing as a non-invasive method for monitoring disease. With increased access to biofluids, more frequent sampling can occur over time.”
The first test measuring exRNA was released earlier this year, the review said, for use measuring specific exRNAs in lung cancer patients. And, the potential for using RNA-seq in cancer is expanding rapidly. Commercial RNA-seq tests are now available, and provide the opportunity for clinicians to more comprehensively profile cancer and use this information to guide treatment selection for their patients, the review said.
In addition, the authors reported on several recent applications for RNA-seq in the diagnosis and management of infectious diseases, such as monitoring for drug resistant populations during therapy and tracking the origin and spread of the Ebola virus.
Using examples from discovery and clinical research, the authors also describe how RNA-seq can help guide interpretation of genomic DNA sequencing results. The utility of integrative sequencing strategies in research studies is growing across broad health applications, and points to the promise for incorporation of RNA-seq into clinical medicine, the review said.
The paper, Translating RNA-sequencing into Clinical Diagnostics: Opportunities and Challenges, was published online Monday in the journal Nature Reviews Genetics.
This review was funded by The Ben & Catherine Ivy Foundation of Scottsdale, the National Center for Advancing Translational Sciences, and a Stand Up To Cancer–Melanoma Research Alliance Melanoma Dream Team Translational Cancer Research Grant.
Source – AZ Business
[box type=”shadow” align=”alignleft” ]Byron SA, Van Keuren-Jensen KR, Engelthaler DM, Carpten JD, Craig DW. (2016)
Translating RNA sequencing into clinical diagnostics: opportunities and challenges.
Nat Rev Genet [Epub ahead of print]. [
article][/fusion_text][/fusion_builder_column_inner][/fusion_builder_row_inner][/fusion_builder_column]
from AZ Business
Uncovering the genetic makeup of patients using DNA sequencing has in recent years provided physicians and their patients with a greater understanding of how best to diagnose and treat the diseases that plague humanity. This is the essence of precision medicine.
Now, researchers at the Translational Genomics Research Institute (TGen) are showing how an even more detailed genetic analysis using RNA sequencing can vastly enhance that understanding, providing doctors and their patients with more precise tools to target the underlying causes of disease, and help recommend the best course of action.
In their review, published Monday in the journal Nature Reviews Genetics, TGen scientists highlight the many advantages of using RNA-sequencing in the detection and management of everything from cancer to infectious diseases, such as Ebola and the rapidly spreading Zika virus.
RNA’s principal role is to act as a messenger carrying instructions from DNA for the synthesis of proteins. Building on the insights provided by DNA profiling, the analysis of RNA provides an even more precise look at how cells behave and how medicine can intervene when things go wrong.
DNA (deoxyribonucleic acid) sequencing spells out —in order— the billions of chemical letters that make up the genes that drive all of our biologic make up and functions, from hair and eye color to whether an individual may be predisposed to cancer or other diseases.
RNA (ribonucleic acid) sequencing provides information on the genes that are actively being made into RNA in a cell and are important for cell function. While more complex, RNA holds the promise of more precise measurement of the human physical condition.
There simply are more forms, or species, that RNA takes, explains Byron. “RNA-sequencing provides an deeper view of a patient’s genome, revealing detailed information on the diverse spectrum of RNAs being expressed.”
One of the most promising aspects of RNA-based measurements is the potential of using extracellular RNA (exRNAs) as a non-invasive diagnostic indicator of disease. Monitoring exRNA simply takes a blood sample, as opposed to doing a tumor biopsy, which essentially is a minor surgery with greater risks and costs.
The first test measuring exRNA was released earlier this year, the review said, for use measuring specific exRNAs in lung cancer patients. And, the potential for using RNA-seq in cancer is expanding rapidly. Commercial RNA-seq tests are now available, and provide the opportunity for clinicians to more comprehensively profile cancer and use this information to guide treatment selection for their patients, the review said.
In addition, the authors reported on several recent applications for RNA-seq in the diagnosis and management of infectious diseases, such as monitoring for drug resistant populations during therapy and tracking the origin and spread of the Ebola virus.
Using examples from discovery and clinical research, the authors also describe how RNA-seq can help guide interpretation of genomic DNA sequencing results. The utility of integrative sequencing strategies in research studies is growing across broad health applications, and points to the promise for incorporation of RNA-seq into clinical medicine, the review said.
The paper, Translating RNA-sequencing into Clinical Diagnostics: Opportunities and Challenges, was published online Monday in the journal Nature Reviews Genetics.
This review was funded by The Ben & Catherine Ivy Foundation of Scottsdale, the National Center for Advancing Translational Sciences, and a Stand Up To Cancer–Melanoma Research Alliance Melanoma Dream Team Translational Cancer Research Grant.
Source – AZ Business
[box type=”shadow” align=”alignleft” ]Byron SA, Van Keuren-Jensen KR, Engelthaler DM, Carpten JD, Craig DW. (2016) Translating RNA sequencing into clinical diagnostics: opportunities and challenges. Nat Rev Genet [Epub ahead of print]. [article][/fusion_text][/fusion_builder_column_inner][/fusion_builder_row_inner][/fusion_builder_column]Related Posts
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from AZ Business
Uncovering the genetic makeup of patients using DNA sequencing has in recent years provided physicians and their patients with a greater understanding of how best to diagnose and treat the diseases that plague humanity. This is the essence of precision medicine.
Now, researchers at the Translational Genomics Research Institute (TGen) are showing how an even more detailed genetic analysis using RNA sequencing can vastly enhance that understanding, providing doctors and their patients with more precise tools to target the underlying causes of disease, and help recommend the best course of action.
In their review, published Monday in the journal Nature Reviews Genetics, TGen scientists highlight the many advantages of using RNA-sequencing in the detection and management of everything from cancer to infectious diseases, such as Ebola and the rapidly spreading Zika virus.
RNA’s principal role is to act as a messenger carrying instructions from DNA for the synthesis of proteins. Building on the insights provided by DNA profiling, the analysis of RNA provides an even more precise look at how cells behave and how medicine can intervene when things go wrong.
DNA (deoxyribonucleic acid) sequencing spells out —in order— the billions of chemical letters that make up the genes that drive all of our biologic make up and functions, from hair and eye color to whether an individual may be predisposed to cancer or other diseases.
RNA (ribonucleic acid) sequencing provides information on the genes that are actively being made into RNA in a cell and are important for cell function. While more complex, RNA holds the promise of more precise measurement of the human physical condition.
There simply are more forms, or species, that RNA takes, explains Byron. “RNA-sequencing provides an deeper view of a patient’s genome, revealing detailed information on the diverse spectrum of RNAs being expressed.”
One of the most promising aspects of RNA-based measurements is the potential of using extracellular RNA (exRNAs) as a non-invasive diagnostic indicator of disease. Monitoring exRNA simply takes a blood sample, as opposed to doing a tumor biopsy, which essentially is a minor surgery with greater risks and costs.
The first test measuring exRNA was released earlier this year, the review said, for use measuring specific exRNAs in lung cancer patients. And, the potential for using RNA-seq in cancer is expanding rapidly. Commercial RNA-seq tests are now available, and provide the opportunity for clinicians to more comprehensively profile cancer and use this information to guide treatment selection for their patients, the review said.
In addition, the authors reported on several recent applications for RNA-seq in the diagnosis and management of infectious diseases, such as monitoring for drug resistant populations during therapy and tracking the origin and spread of the Ebola virus.
Using examples from discovery and clinical research, the authors also describe how RNA-seq can help guide interpretation of genomic DNA sequencing results. The utility of integrative sequencing strategies in research studies is growing across broad health applications, and points to the promise for incorporation of RNA-seq into clinical medicine, the review said.
The paper, Translating RNA-sequencing into Clinical Diagnostics: Opportunities and Challenges, was published online Monday in the journal Nature Reviews Genetics.
This review was funded by The Ben & Catherine Ivy Foundation of Scottsdale, the National Center for Advancing Translational Sciences, and a Stand Up To Cancer–Melanoma Research Alliance Melanoma Dream Team Translational Cancer Research Grant.
Source – AZ Business
[box type=”shadow” align=”alignleft” ]Byron SA, Van Keuren-Jensen KR, Engelthaler DM, Carpten JD, Craig DW. (2016) Translating RNA sequencing into clinical diagnostics: opportunities and challenges. Nat Rev Genet [Epub ahead of print]. [article][/fusion_text][/fusion_builder_column_inner][/fusion_builder_row_inner][/fusion_builder_column]Related Posts
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Urine test may improve bladder cancer diagnosis and guide treatment decisions
Tracing 700 million years of cell evolution
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
Avoiding a sticky situation: how cells stop messenger RNAs from clumping together
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Worm’s radical transformation shows metamorphosis can change the functions of cells
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
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