Andrew Leduc @_AndrewLeduc
Post-doc @slavovlab Interests: Non-canonical protein sequences Protein degradation Single cell analysis andrew-leduc.github.io Boston, MA Joined February 2020-
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nature.com/articles/s4146… One of my favorite papers. At first glance, observing faster clearance of PTMs would suggest they destabilize the protein right? Thoughtful quantitative modeling and clever experiments conclusively demonstrate that this is not the case!!
Too many of these kinds of pie in the sky visionary posts & too few that actually provide balanced views of phenomenal achievements & the 10000s of caveats to taking it even one step further. We live in an age of hype. I really ache to find serious science discourse.
Too many of these kinds of pie in the sky visionary posts & too few that actually provide balanced views of phenomenal achievements & the 10000s of caveats to taking it even one step further. We live in an age of hype. I really ache to find serious science discourse.
@_AndrewLeduc What I would love to do is to do this same experiment with sea urchins that seem to have a veeeeery strong tolerance for 4sU incorporation relative to mammalian cells (see our pre-print from last month) and sequence after 24 hours or so.
People have quantified on order 5000-6000 proteins from individual cells and the issue for not getting more is very very clearly MS sensitivity so really this is just a non result
People have quantified on order 5000-6000 proteins from individual cells and the issue for not getting more is very very clearly MS sensitivity so really this is just a non result
cell.com/cell/abstract/… "individual cells ... transcribe only ∼0.02%–3.1% of the genome, versus >80% in bulk" Cool paper but I think the issue with this claim is that if you recorded transcription in single cells over a long time span, you might see overall subset is similar
While you might not be better informed on non-scientific things, science should train you to better reflect uncertainty and to distinguish direct from indirect (and potentially confounded) lines of evidence so you can appropriately update that uncertainty as you see more data
While you might not be better informed on non-scientific things, science should train you to better reflect uncertainty and to distinguish direct from indirect (and potentially confounded) lines of evidence so you can appropriately update that uncertainty as you see more data
So much went into this paper. One aspect that did not make the main figures; We designed a method to account for missing data in sc-proteomics when estimating fold changes across cell types. Our algorithm results in improved alignment with scRNA-seq fold changes.
So much went into this paper. One aspect that did not make the main figures; We designed a method to account for missing data in sc-proteomics when estimating fold changes across cell types. Our algorithm results in improved alignment with scRNA-seq fold changes. https://t.co/MlILJsCfzn
Vimentin in Fibroblast cells is likely functionally analogous to Krt5 in Basal cells. It’s amazing that single cell proteomics can enable these types of finding. Check out the work from @_AndrewLeduc for more details!
Vimentin in Fibroblast cells is likely functionally analogous to Krt5 in Basal cells. It’s amazing that single cell proteomics can enable these types of finding. Check out the work from @_AndrewLeduc for more details! https://t.co/gkvEfxEc0l

Prof. Nikolai Slavov @slavov_n
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725 Followers 356 Following Research group at the University of Edinburgh using genome editing and targeted protein degradation to study genetic disease and therapy
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