Archive for February, 2011
Dataset #4659: Testing Set – T Cell Immunophenotype (trimmed)
Quantifying the percentage of cells expressing a protein of interest is a frequent goal in both basic research and clinical studies. Paired with per-cell comparisons of the level of protein expression, this approach provides a powerful way to track and immunophenotype populations of cells present in a particular sample.
One widely recognized application of flow cytometric immunophenotyping is determining the percentage of CD4+ cells in a gated lymphocyte population in order to determine prognosis for an HIV patient. Other applications include measuring a series of markers in order to distinguish between different forms of leukemia.
In Cytobank, you can use the “percent in gate” statistic to measure and display the percentage of cells in a selected gate as compared to each active population in your figure. To illustrate with a simple example, let’s examine a sample dataset looking at the percentage of CD25+ cells in a CD3+ T cell population.
In the past few months, the Cytobank Development Team has made numerous backend changes with the aim of improving performance speeds. We are happy to report that, as a result, analysis on Cytobank has sped up significantly.
Depending on your specific datasets, time to get to your results may be up to 10x faster!
What has changed?
We’re gearing up for next month’s Northwest Regional Cytometry Meeting (NWRCM), which will also include the FICCS 7 meeting. Come say hello and tell us how you’re using Cytobank to share and analyze your flow data.
We’re looking forward to lots of great talks at this meeting, but we’re especially excited for the ones we’ve listed below. We’re also running a Cytobank tutorial on Saturday morning and would love to have you join us.