Mass Spectrometry

​Be it cellular homeostasis, nutrition, microbial interaction, infectious pertibuations, or hereditary diseases, the Mass Spectrometry Platform develops and applies mass spec applications to elucidate the role proteins and metabolites play in all facets of life.

We believe all experiments we undertake should be “multi-omic” in nature, since few, if any biological processes relate to just one kind of molecule. We aim to leverage the powerful proteomic and metabolomic capabilities within the Mass Spectrometry Platform, and combine them with the broad array of technologies at the Chan Zuckerberg Biohub – imaging, sequencing, single-cell analyses, engineering and more. This perspective lets us take on research projects that are difficult to impossible to carry out in conventional academic or industry settings.

Proteomics

A wide range of experimental methods at the bench combine with tailored modes of operating our mass spectrometers to give exceptionally deep surveys of proteins and peptides harvested from tissues, cells, and body fluids.

Metabolomics

Our metabolomics workflow is designed to maximize the number of metabolite annotations. We use a large local library to inform the instruments when and where to look for over 1000 metabolites, ensuring if a listed metabolite generates adequate signal we collect MS2 spectra.

Multiomics

No single large-scale measurement can capture all aspects of a system’s interesting biology. We believe that taking a multi-omic approach, such as combining proteomics and metabolomics can create novel insights that amount to more than the sum of their parts. We endeavor to nullify technical hurdles to including proteomic and metabolomic measurements in any large-scale investigation.

Automation

Our ambition is to create and curate exceptional data sets far beyond the means of a few grad students’ or postdocs’ manual labor. Automation technologies are driving large-scale projects that will be the bedrock of computational studies for years to come.

Software

We strive to create software that sheds light on the “dark matter” that pervades proteomic and metabolomic experiments.