I will be there!

(note: the speaking portion of the event has been moved to Boston Common)

#standupforscience2025

www.eventbrite.com/e/stand-up-f...

We were also able to use this clustering-by-morphological similarity information (plus mechanistic follow-up) to identify a role for the poorly characterized gene TMEM251 in lysosomal protein trafficking through the M6P-system.

as well as identifying shared and media-specific responses to gene perturbation in cells cultured in DMEM vs human plasma-like media (HPLM).

These screens generated rich phenotypic data, enabling us to use morphological profile similarity to explore relationships between perturbed genes such as clustering protein complex members by morphological similarity, and capturing membership/directionality of signaling pathways.

We ( @erinweisbart.bsky.social , @bethcimini.bsky.social , Greg Way) also built scalable, distributed open source analysis pipelines for alignment/cropping/background correction/barcode calling/etc. allowing us to turn millions of fluorescence images into sgRNA-assigned single cell profiles

To do this, we first built a variant of the Cell Painting panel that allowed destaining of fluorophores from a subset of markers (via cleavable disulfide or azidomethyl linker) so that we could perform four color in situ sequencing-by-synthesis without fluorescence overlap.

So, we teamed up with Anne and Paul’s lab, along with Calvin Jan at Calico, with the aim of building an accessible & unbiased high-content cell profiling platform that could be applied to genome-scale CRISPR screens (Project PERISCOPE).

new building, same problems

yes, please!