from GenomeWeb
NEW YORK (GenomeWeb) – A team led by researchers from Australia’s Garvan Institute of Medical Research this week reported new data demonstrating the superiority of a targeted RNA sequencing method called “capture sequencing” (CaptureSeq) over standard RNA sequencing and qRT-PCR for detecting and quantifying genes with low and differential expression, which they say are particularly relevant for studies involving human disease.
The scientists also reported the use of CaptureSeq to quantify long non-coding RNAs (lncRNAs) and novel coding exons across 20 different human tissues, refining previous annotations and creating a new expression atlas.
CaptureSeq was developed in 2011 to enable the characterization of unannotated transcripts (read more…)
from GenomeWeb
NEW YORK (GenomeWeb) – A team led by researchers from Australia’s Garvan Institute of Medical Research this week reported new data demonstrating the superiority of a targeted RNA sequencing method called “capture sequencing” (CaptureSeq) over standard RNA sequencing and qRT-PCR for detecting and quantifying genes with low and differential expression, which they say are particularly relevant for studies involving human disease.
The scientists also reported the use of CaptureSeq to quantify long non-coding RNAs (lncRNAs) and novel coding exons across 20 different human tissues, refining previous annotations and creating a new expression atlas.
CaptureSeq was developed in 2011 to enable the characterization of unannotated transcripts (read more…)
Related Posts
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
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
from GenomeWeb
NEW YORK (GenomeWeb) – A team led by researchers from Australia’s Garvan Institute of Medical Research this week reported new data demonstrating the superiority of a targeted RNA sequencing method called “capture sequencing” (CaptureSeq) over standard RNA sequencing and qRT-PCR for detecting and quantifying genes with low and differential expression, which they say are particularly relevant for studies involving human disease.
The scientists also reported the use of CaptureSeq to quantify long non-coding RNAs (lncRNAs) and novel coding exons across 20 different human tissues, refining previous annotations and creating a new expression atlas.
CaptureSeq was developed in 2011 to enable the characterization of unannotated transcripts (read more…)
Related Posts
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
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
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services