An interview with Dr Martin Hemberg, Wellcome Trust Sanger Institute, conducted by April Cashin-Garbutt, MA (Cantab)
What is single-cell RNA sequencing and how can it help define cell types?
RNA sequencing is basically the isolation of RNA from cells and the use of reverse transcriptase to turn the RNA into DNA. You can then use your standard DNA sequencing technologies to quantify the cDNA that you obtained from the reverse transcription reaction. The assay allows you to quantify the amount of RNA in a global- and genome-wide manner.
This technology became popular around ten years ago, but around say two or three years ago, the cost of the technologies, as well as the technologies themselves, were improved to the extent that it has become feasible for many labs to do this type of assay at a resolution of individual cells. This is quite different from what was done previously, where millions of cells were required to get enough RNA.
Before you had single cell, the problem was that having whole tissue, or a whole sample, which was almost certainly heterogeneous, is the equivalent of taking your sample and putting it through a blender. You then have a big, smooth sauce coming out of it and you don’t really know what the original components were.
With single cell, you can identify each individual cell that went into your sample. By characterizing individual cells, it’s possible to compare them and find cells that look similar and they are the ones that you’ll define as specific cell types.
(read more at news-medical.net…)
An interview with Dr Martin Hemberg, Wellcome Trust Sanger Institute, conducted by April Cashin-Garbutt, MA (Cantab)
What is single-cell RNA sequencing and how can it help define cell types?
RNA sequencing is basically the isolation of RNA from cells and the use of reverse transcriptase to turn the RNA into DNA. You can then use your standard DNA sequencing technologies to quantify the cDNA that you obtained from the reverse transcription reaction. The assay allows you to quantify the amount of RNA in a global- and genome-wide manner.
This technology became popular around ten years ago, but around say two or three years ago, the cost of the technologies, as well as the technologies themselves, were improved to the extent that it has become feasible for many labs to do this type of assay at a resolution of individual cells. This is quite different from what was done previously, where millions of cells were required to get enough RNA.
Before you had single cell, the problem was that having whole tissue, or a whole sample, which was almost certainly heterogeneous, is the equivalent of taking your sample and putting it through a blender. You then have a big, smooth sauce coming out of it and you don’t really know what the original components were.
With single cell, you can identify each individual cell that went into your sample. By characterizing individual cells, it’s possible to compare them and find cells that look similar and they are the ones that you’ll define as specific cell types.
(read more at news-medical.net…)
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An interview with Dr Martin Hemberg, Wellcome Trust Sanger Institute, conducted by April Cashin-Garbutt, MA (Cantab)
What is single-cell RNA sequencing and how can it help define cell types?
RNA sequencing is basically the isolation of RNA from cells and the use of reverse transcriptase to turn the RNA into DNA. You can then use your standard DNA sequencing technologies to quantify the cDNA that you obtained from the reverse transcription reaction. The assay allows you to quantify the amount of RNA in a global- and genome-wide manner.
This technology became popular around ten years ago, but around say two or three years ago, the cost of the technologies, as well as the technologies themselves, were improved to the extent that it has become feasible for many labs to do this type of assay at a resolution of individual cells. This is quite different from what was done previously, where millions of cells were required to get enough RNA.
Before you had single cell, the problem was that having whole tissue, or a whole sample, which was almost certainly heterogeneous, is the equivalent of taking your sample and putting it through a blender. You then have a big, smooth sauce coming out of it and you don’t really know what the original components were.
With single cell, you can identify each individual cell that went into your sample. By characterizing individual cells, it’s possible to compare them and find cells that look similar and they are the ones that you’ll define as specific cell types.
(read more at news-medical.net…)
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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