One of our goals at Cytobank is to build community resources that facilitate cytometry experiments. This time around, we’ve updated a couple of our Resources with protocol sheets. These protocol sheets contain experimental steps linked to analysis data that you work with yourself in Cytobank. If you’re just venturing out into the realm of mass cytometry, or phospho-flow using mass or fluorescence cytometry, these resources can guide you along the way.
It’s nice to put faces to names, right? Well, we’re here to introduce you to the Cytobank Support Team, Geoff and Angela. When you email us for support, generally the reply will be from one of us (occasionally you’ll hear from other team members, and we’ll profile them soon!). We also lead one-on-one trainings by WebEx or Skype, make site visits to do in-person trainings, attend conferences, and you can find us in support chat for real-time assistance.
What kind of support can you receive from us? In addition to assistance learning to use Cytobank for analysis, we’re happy to leverage our years of personal experience as scientists performing flow cytometry experiments to help you at various steps in your research endeavors. We’ve fielded numerous questions including help designing and optimizing protocols, reagent selection, advice in the design of large clinical studies, data interpretation, and more.
Earlier this year, we announced the availability of SPADE and Dose Response Analysis through DVS Cytobank and Enterprise servers. We’ve recently added a number of resources to the DVS Cytobank landing page, geared at providing useful content to mass cytometry users.
Welcome to Cytobank User Stories, a series featuring interviews with Cytobank users on their research, scientific vision, and use of flow cytometry.
Send us feedback and let us know who you’d like to hear from (including yourself)!
|What are you excited about in science? What is your scientific vision?|
The genomic age has given investigators an unprecedented window in to the molecular abnormalities within cancer cells. Through this window, we see that there are many molecular abnormalities, some occurring in divergent pathways. As a physician-scientist I am most interested in identifying which of these pathways are required for cancer cell viability/proliferation and leveraging this information for the design of genomically targeted pharmaceuticals in clinical trials. (more…)
We’ve added new datasheets to the BD FACSelect Buffer Compatibility Resource for targets involved in DNA damage (H2AX (pS139) and p53 (pS37)), apoptosis (active caspase-3 and cleaved PARP), and the cell cycle (7-AAD DNA stain). Visit this resource to see and interact with flow data showing how various antibody conjugates stain in different buffer conditions for a number of mouse and human targets.
You can learn more about FACSelect by reading our previous blog post on the topic.
Questions or comments? Email us at email@example.com.
The trend in flow cytometry is a push toward the development of technologies and methods that will enable researchers to mine increasingly more data from each experiment. These efforts will save time, money, and effort and likewise maximize information yield from each valuable sample. As we continue to grow and mine more data from experiments, a need emerges to ensure that analysis tools are built to support these high dimensional datasets.
The Institute of Medicine of the National Academies recently convened a committee that put forth recommendations surrounding the analysis of high dimensional datasets. The committee was convened following the publication and retraction of several large scale studies suffering from mismanagement of the analysis process.