Luke Funk
218 posts
Luke Funk
@lukebfunk
@CajalNeuro. Former: @BlaineyLab, @broadinstitute, @MIT_HST. Opinions my own. https://t.co/aDN2eJDKCK
Seattle, WA Katılım Eylül 2018
426 Takip Edilen185 Takipçiler
Luke Funk retweetledi
Excited to share how @jacobborrajo Anna Le and I are enabling the future of profiling dynamic cellular processes! We built a synthetic RNA export pathway for cells to "self-report" their transcriptional states in real-time. Big thanks to the entire team!
biorxiv.org/content/10.110…
GIF
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@markkitti @manorlaboratory I'm here. Tried to use h5 for a while, but I think zarr is the future.
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Closest I have found to what I am looking for is MolArt (cusbg.github.io/MolArt/), but doesn't seem to allow custom annotations.
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@mike_tilapia @DrAnneCarpenter Awesome work! I might be missing it, but I am not seeing the supplementary table on bioRxiv...is it posted somewhere?
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Our latest preprint is out! In a fun collaboration with @DrAnneCarpenter, we conducted a systematic high-content screen to understand the role of protein mislocalization in diverse human disorders. 1/8
biorxiv.org/content/10.110…
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I'm really excited to present work from @ophirshalem’s group with my outstanding co-first author Yevgeniy Serebrenik @YSereb to tag and manipulate proteins at scale, which we use to study the #proteome and #proteostasis biorxiv.org/content/10.110…
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@stephsansbury @ophirshalem @YSereb Congrats on getting this out @stephsansbury; excited to read in detail!
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Luke Funk retweetledi
How can machine learning help you to analyze your microscopy images?
Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5!
Applications are due 🚨 May 18 🚨
Read on for more! 👇
mbl.edu/education/adva…
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I am so excited to share that I will be starting a lab in January 2024 as an Assistant Professor at @OHSUSOM in Portland! I am building my team, so if you are interested in cellular cryoelectron tomography, computational structural biology, and working in PDX, hit me up!
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Luke Funk retweetledi
Entrepreneur AI anxiety is real. Everything is moving so fast that many feel the ground is shifting under their feet. A 10x product of last month may be obsolete today. Many are asking the same question:
Where is defensibility in the age of AI?
👇
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Luke Funk retweetledi
Sci Twitter help - why does differentiation of cells entail both cell fate determination AND arrest of division? Is continued division somehow incompatible with locking in a specific cell fate? Like by erasing chromatin state or something? Sorry if this is a dumb question
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@jonesr18 @nika_shakiba I see, thanks for the clarification! Are the supplementary figures available?
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@nika_shakiba @lukebfunk The v4 one already caused reduced growth rates - if Oct4 levels continue to go up, the efficiency would likely decrease due to this!
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🚨 Check out our new preprint!
Super excited to see this go over the finish line, thanks to a collaborative effort 📢 Katherine & Trevor!
Tl;dr: #SynBio genetic circuits 🧬 + reprogramming to #iPSCs 🧫= robust cell fate control
See thread for the story!
biorxiv.org/content/10.110…
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@nika_shakiba Also, in the experiments in Fig. 4c & d, did you compare to a control without the miR casette? Wondering if the v4 miR-Oct4e with many mismatches is actually producing any repression? Or if the high & tight Oct4 distribution is driven primarily by the high MOI?
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@nika_shakiba In the final trajectory controller designs in Fig. 4a, it looks like the miR-Oct4e variants will target both the endogenous and exogenous OCT4 mRNA? Did you have a way to separately control and “overwrite” Oct4 levels in these experiments like earlier in the paper?
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@RecursionChris Also, how were the labeled genes chosen? Random subset? Intentionally selected for specific properties? What properties?
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@RecursionChris Totally agreed! Just not sure what to think of the 16k anonymized genes without any specific plans to de-anonymize in the future.
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Can't decide if this is a useful dataset release for external users
Chris Gibson@RecursionChris
Big day for open-science at Recursion! Releasing a 2.2M image, 100TB genome-spanning CRISPR KO dataset* in primary human cells alongside a demo of one of our internal apps. Kudos to the team for getting this ready! Can’t wait to see what the community finds/builds on top of it!
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