Genetic Engineering News – There’s a new RNA-seq in town. Although the old RNA-seq administered a certain rough justice, profiling RNA species well enough to support a relatively crude conception of the transcriptome, the new RNA-seq is more refined. Yet, like the old RNA-seq, the new RNA-seq is quick on the draw. In fact, the new RNA-seq is compatible with the newest high-throughput technologies.
But the new RNA-seq is also bioinformatically up to date, capable of single-cell and single-nucleus analyses, and alert to all sorts of transcripts—even shifty splice variants, unstable pre-mRNA species, and elusive post-translational forms.
The new RNA-seq, or RNA sequencing, is what researchers and translational scientists need to develop a more sophisticated conception of the transcriptome. RNA-seq is characterizing previously unknown cell types and recognizing intermediate developmental states. It is uncovering epigenetic modifications that culminate in cancer. And it is relating the maturation and decay of RNA species to processes that underlie health and disease.
(Read more at Genetic Engineering News…)
Genetic Engineering News – There’s a new RNA-seq in town. Although the old RNA-seq administered a certain rough justice, profiling RNA species well enough to support a relatively crude conception of the transcriptome, the new RNA-seq is more refined. Yet, like the old RNA-seq, the new RNA-seq is quick on the draw. In fact, the new RNA-seq is compatible with the newest high-throughput technologies.
But the new RNA-seq is also bioinformatically up to date, capable of single-cell and single-nucleus analyses, and alert to all sorts of transcripts—even shifty splice variants, unstable pre-mRNA species, and elusive post-translational forms.
The new RNA-seq, or RNA sequencing, is what researchers and translational scientists need to develop a more sophisticated conception of the transcriptome. RNA-seq is characterizing previously unknown cell types and recognizing intermediate developmental states. It is uncovering epigenetic modifications that culminate in cancer. And it is relating the maturation and decay of RNA species to processes that underlie health and disease.
(Read more at Genetic Engineering News…)
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Genetic Engineering News – There’s a new RNA-seq in town. Although the old RNA-seq administered a certain rough justice, profiling RNA species well enough to support a relatively crude conception of the transcriptome, the new RNA-seq is more refined. Yet, like the old RNA-seq, the new RNA-seq is quick on the draw. In fact, the new RNA-seq is compatible with the newest high-throughput technologies.
But the new RNA-seq is also bioinformatically up to date, capable of single-cell and single-nucleus analyses, and alert to all sorts of transcripts—even shifty splice variants, unstable pre-mRNA species, and elusive post-translational forms.
The new RNA-seq, or RNA sequencing, is what researchers and translational scientists need to develop a more sophisticated conception of the transcriptome. RNA-seq is characterizing previously unknown cell types and recognizing intermediate developmental states. It is uncovering epigenetic modifications that culminate in cancer. And it is relating the maturation and decay of RNA species to processes that underlie health and disease.
(Read more at Genetic Engineering News…)
Related Posts
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
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
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