From Stanford University by Hanae Armitage
Every person distills down to a script of DNA, and researchers are increasingly mining this genetic information to better inform care. Now, scientists have shown how RNA — an offshoot of DNA — is coming into its own as doctors sleuth out difficult-to-diagnose illnesses.
In a new study in Nature Medicine, Stephen Montgomery, PhD, a Stanford associate professor of pathology and of genetics, shows why the transcriptome, the collection of RNA molecules in a cell, is a crucial clue to help decipher the source of some rare diseases….
Right now with genome sequencing we can identify hiccups in the DNA, such as mutations, which are more broadly known as gene variants. But we all have a variety of these gene variants, and not all of them are bad; some don’t have any effect. With transcriptome sequencing, we’re able to see if those genes, variants and all, are functioning normally. Sometimes a gene that looks fine on the level of its DNA is actually malfunctioning, producing too much or too little protein, for instance. And we can detect this from the transcriptome.
So when evaluating a patient’s transcriptome, the two things that we’ve focused on have been the level of gene expression and how that level compares to healthy individuals, as well as something called splicing, which is how the transcript is pieced together to make the correct sequence of mRNA.
(read more…)
Frésard L et al. (2019) Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nat Med [Epub ahead of print]. [abstract]
From Stanford University by Hanae Armitage
Every person distills down to a script of DNA, and researchers are increasingly mining this genetic information to better inform care. Now, scientists have shown how RNA — an offshoot of DNA — is coming into its own as doctors sleuth out difficult-to-diagnose illnesses.
In a new study in Nature Medicine, Stephen Montgomery, PhD, a Stanford associate professor of pathology and of genetics, shows why the transcriptome, the collection of RNA molecules in a cell, is a crucial clue to help decipher the source of some rare diseases….
Right now with genome sequencing we can identify hiccups in the DNA, such as mutations, which are more broadly known as gene variants. But we all have a variety of these gene variants, and not all of them are bad; some don’t have any effect. With transcriptome sequencing, we’re able to see if those genes, variants and all, are functioning normally. Sometimes a gene that looks fine on the level of its DNA is actually malfunctioning, producing too much or too little protein, for instance. And we can detect this from the transcriptome.
So when evaluating a patient’s transcriptome, the two things that we’ve focused on have been the level of gene expression and how that level compares to healthy individuals, as well as something called splicing, which is how the transcript is pieced together to make the correct sequence of mRNA.
(read more…)
Frésard L et al. (2019) Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nat Med [Epub ahead of print]. [abstract]
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From Stanford University by Hanae Armitage
Every person distills down to a script of DNA, and researchers are increasingly mining this genetic information to better inform care. Now, scientists have shown how RNA — an offshoot of DNA — is coming into its own as doctors sleuth out difficult-to-diagnose illnesses.
In a new study in Nature Medicine, Stephen Montgomery, PhD, a Stanford associate professor of pathology and of genetics, shows why the transcriptome, the collection of RNA molecules in a cell, is a crucial clue to help decipher the source of some rare diseases….
Right now with genome sequencing we can identify hiccups in the DNA, such as mutations, which are more broadly known as gene variants. But we all have a variety of these gene variants, and not all of them are bad; some don’t have any effect. With transcriptome sequencing, we’re able to see if those genes, variants and all, are functioning normally. Sometimes a gene that looks fine on the level of its DNA is actually malfunctioning, producing too much or too little protein, for instance. And we can detect this from the transcriptome.
So when evaluating a patient’s transcriptome, the two things that we’ve focused on have been the level of gene expression and how that level compares to healthy individuals, as well as something called splicing, which is how the transcript is pieced together to make the correct sequence of mRNA.
(read more…)
Frésard L et al. (2019) Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nat Med [Epub ahead of print]. [abstract]
Related Posts
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
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
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