«SIF - seq is currently capable of testing only hundreds to a few thousand sites for enhancer
activity in a single experiment, but can determine enhancer activity more accurately than ChIP - seq and is therefore a very good validation assay for assessing ChIP - seq results.»
Now two research teams have spotlighted the middle ground, using so - called gene chips to evaluate millions of bases of
DNA in a single experiment.
This technique, which scientists are rapidly automating, may eventually displace crystallography as the tool of choice in many cell biology studies because it does not require the subject to crystallize and sometimes can even reveal multiple conformational
states in a single experiment.
August 28, 2009 Ephraim Sehayek, MD, featured in News and Notations Advancements in genetic technologies allow simultaneous testing of millions of variations in our DNA
sequence in a single experiment.
In this presentation, we will discuss how the Illumina Bio-Rad Single - Cell Sequencing Solution combined with the Bio-Rad S3e Cell Sorter enhances single - cell studies and provides researchers with a robust, scalable, and user - friendly workflow that enables transcriptome profiling of hundreds to tens of thousands of single
cells in a single experiment.
«While ChIP - seq is very powerful in that it can query an entire genome for characteristics associated with enhancer
activity in a single experiment, it can fail to identify some enhancers and identify some sites as being enhancers when they really aren't,» says Diane Dickel, a geneticist with Berkeley Lab's Genomics Division and member of the SIF - seq development team.
The plummeting cost of DNA sequencing makes leech surveys cheap, and DNA from hundreds of the animals could be combined and
analyzed in a single experiment.
The new approach, published June 26 in Nature Methods, lets researchers test millions of relationships between thousands of
proteins in a single experiment.
Researchers at the ETH were now able successfully to combine both
in a single experiment.
The platform can analyze multiple biomarkers quickly and efficiently, as demonstrated by the fact that a total of 458 plasma samples were analyzed in triplicate, with 23 ELISA analyses per sample - replicate,
in a single experiment.
WGS is the right tool to study these kinds of tumors because we know less about them: it will capture the full spectrum of mutations, from single base changes to large chromosomal rearrangements,
in a single experiment.
Thus,
in a single experiment, the authors demonstrated that (1) CD4 + and CD8 + T - cells were the mediators of immune system rejection of transplanted tumor cells, and (2) d42m1 escape tumors develop from T - cell - dependent selection favoring cells without the spectrin - B2 antigen.