From Laboratory News by Vincent Croset, Iver Nordentoft & Nadia Shakir
Scientists are increasingly taking advantage of microfluidic technology for single cell applications to understand individual cells and their role in health and immunity. Here we look at latest advances in the technology and some examples of microfluidic approaches to single cell research…
Understanding how single cells within an individual person, tissue or organ differ throughout development or as a result of disease has great potential to help advance personalised medicine.
Since high throughput single cell applications based on microfluidic droplet technology came to the fore in 2015, researchers have taken advantage of single cell RNA-seq (scRNA-seq) methods to increase their knowledge of cell development, immunology and immunotherapy, as well as tumour heterogeneity, lineage analysis and clonal evolution.
(read more…)
From Laboratory News by Vincent Croset, Iver Nordentoft & Nadia Shakir
Scientists are increasingly taking advantage of microfluidic technology for single cell applications to understand individual cells and their role in health and immunity. Here we look at latest advances in the technology and some examples of microfluidic approaches to single cell research…
Understanding how single cells within an individual person, tissue or organ differ throughout development or as a result of disease has great potential to help advance personalised medicine.
Since high throughput single cell applications based on microfluidic droplet technology came to the fore in 2015, researchers have taken advantage of single cell RNA-seq (scRNA-seq) methods to increase their knowledge of cell development, immunology and immunotherapy, as well as tumour heterogeneity, lineage analysis and clonal evolution.
(read more…)
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From Laboratory News by Vincent Croset, Iver Nordentoft & Nadia Shakir
Scientists are increasingly taking advantage of microfluidic technology for single cell applications to understand individual cells and their role in health and immunity. Here we look at latest advances in the technology and some examples of microfluidic approaches to single cell research…
Understanding how single cells within an individual person, tissue or organ differ throughout development or as a result of disease has great potential to help advance personalised medicine.
Since high throughput single cell applications based on microfluidic droplet technology came to the fore in 2015, researchers have taken advantage of single cell RNA-seq (scRNA-seq) methods to increase their knowledge of cell development, immunology and immunotherapy, as well as tumour heterogeneity, lineage analysis and clonal evolution.
(read more…)
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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