Joined August 2009
Photos and videos
Nader retweeted
1/7 First of all, big shoutout to co-authors on modeling (@MKarimzade, @neal_ravindra, @RexMa9, @HAOTIANCUI1, @LeeTaliq), huge appreciation to data generation (Lexi, @alerasool, Adam) and bioinformatics team (@_annhuang), and leadership for vision and direction (@BoWang87, @inCiChu)! Preprint is now live on bioRxiv: biorxiv.org/content/10.64898… All models start from high-quality data.

Our X-cell is up at @biorxiv_bioinfo ! Read our full paper at biorxiv.org/content/10.64898… Part of the data and the model weights will be shared soon. stay tuned!
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Nader retweeted
Our latest work on developing a potent and specific tool for activating or repressing endogenous splicing events is out! authors.elsevier.com/c/1jJci…

Graduate student Jack Li's work out in Molecular Cell now: By conducting a screen of 341 splicing factors, Jack identified RBM25 coupled to dCasRx as a superior tool to boost inclusion of endogenous exons /1
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Nader retweeted
Graduate student Jack Li's work out in Molecular Cell now: By conducting a screen of 341 splicing factors, Jack identified RBM25 coupled to dCasRx as a superior tool to boost inclusion of endogenous exons /1
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Nader retweeted
Check out our CRISPR genome-scale exon perturbation study @MolecularCell. We identified exons influencing cell fitness and uncovered a novel mechanism by which #splicing affects #transcription. @Michael_Aregger @dlarun88 @meisheng_xiao @NCIResearchCtr @NIH doi.org/10.1016/j.molcel.202…
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Nader retweeted
early winter @newlimit: - >10X more reprogramming factor sets tested than ever before - >2M cells profiled, 10TB of raw seq data - 3 team members - 2X speed up in reprogramming library build times - 1 cell types on our Engine - 1st rejuvenating hits
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📜 Happy to share our recent preprint featuring ORFtag - a versatile, easy and cost-effective method for probing protein function at a proteome scale. This work is the result of a collaborative effort by the @stark_lab, @AmeresSL, @EllingUlrich and @juliusbrennecke labs. 1/2
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Nader retweeted
2023 @newlimit: - 50X more reprogramming factor sets tested than the field before us - 20X factor demultiplexing performance (reading), 7X factor delivery (writing) - 2X team size - 3 functional assays for immunology program - 2 in silico model metrics > SOTA blog ⬇️
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Nader retweeted
Induxion is looking for a Research Associate/Technician to support its platform activities - Located in Toronto. jobrxiv.org/job/induxion-the…
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Nader retweeted
early autumn @newlimit: - 6X'd the # of reprogramming factors we've tested - >4X'd signal-to-noise for our core pooled screening assay - shortened feedback cycles by 40% - improved in silico reprog models >30% all covered in our latest blog
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Nader retweeted
Help me find my stolen bike! bikeindex.org/bikes/1692267

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Nader retweeted
Ever wondered if you could read 100s of metabolites and drugs in parallel using a @illumina or a @10X platform? But metabolites aren’t nucleic acids — how can that work? Check out our new preprint and read on for a thread: biorxiv.org/content/10.1101/….
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Nader retweeted
last month @newlimit: - 1st reprogramming screens in primary cells - Immunology team 3X'd - 1st model-driven hypotheses this month: - improving screen efficiency: more exps/{$, time} - multi-modal in silico reprogramming models all this & more in our April update ⬇️
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last month @newlimit: - largest partial reprogramming screen yet - 50% more TFs to test - first in silico reprogramming models this month: - screens in old donor cells - library rebuild -- 10X manufacturing efficiency - automating screen analysis to shorten DBTL loops
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Nader retweeted
A universal deep-learning model for zinc finger design enables transcription factor reprogramming go.nature.com/3HBtUH5
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