Posts filed under ‘Cytobank’
Studying single-cell signaling networks with mass cytometry: A perspective from Professor Bernd Bodenmiller
Recently, Bernd Bodenmiller from the University of Zurich gave a webcast for nature.com on using mass cytometry to study single cell signaling networks in biology and disease. The talk consisted of an introduction, an overview of the DVS CyTOF instrument, a summary of Bernd’s recent paper in Nature Biotechnology, and his current work with collaborators in ovarian cancer. If you missed it, the talk is still hosted on Nature’s webcast page and is also summarized for you below.
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.
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.
Dear Cytobank Community,
As 2012 draws to a close, we reflect on what on an exciting year it has been in cytometry. The benefits, uses, and applications of singe cell technologies (especially cytometry) were highlighted in various publications, including those by Bodenmiller et al and Behbehani et al using mass cytometry to profile cellular states [1, 2]. The era of high dimensional cytometry ushered by machines such as the CyTOF has enabled new explorations previously not possible. Emerging manuscripts such as these highlight a need for evolving algorithms for data analysis and visualization backed by the appropriate computation and infrastructure to handle this information. This is behind much of the vision that guides our roadmap and efforts as we launch into the new year.