This Dashboard highlights the top institutions and labs throughout the world studying single cells in their work.
Single Cell Isolation Trends: 2005 – 2015
Historically, most genomic technologies have required relatively large amounts of nucleic acid for analysis, even though researchers have suspected that even the same cell types vary from cell-to-cell in terms of mutations, gene expression, or epigenetic marks.
As the sensitivity of these techniques has improved in recent years, it has become possible to extract enough DNA/RNA from individual cells for sequencing, PCR, and microfluidic analysis. Today, researchers have the ability to characterize minute differences in minimal sample. This has had broad reaching implications in many fields from neurosciences to oncology.
Several technologies have been optimized to isolate single cells for these workflow including Laser capture micro-dissection (LCM), fluorescence-activated cell sorting (FACS), and automated pipette aspiration. With these technological advances, single-cell analyses are becoming increasingly realistic in many fields and will no doubt continue to grow rapidly in the years ahead.
Inside this Dashboard
This Market Trends Dashboard highlights what methods researchers are using most frequently when isolating single cells for downstream
analyses in their studies. Inside it, you’ll find:
- Trends highlighting the relative usage of various single cell isolation methods as measured in total volume of publication mentions
- The total volume of mentions of these methods over time
- The growth rate trending for each of the single cell isolation method
- Regional segmentation: total mention volume and growth rates broken down for reach region, country, and even by state in the US