harm

Scientific co-founder and head of research at Neptune Bio

[Rahul Satija @satijalab]

Excited to share VIPerturb-seq!

New tech from my lab which aims to improve the cost, data quality, and efficiency of single-cell CRISPR screens so that they are accessible to any lab - even at genome-wide scale

Preprint and 🧵 (1/): https://t.co/m8nleniSUD

[harm @harm__w]

Neptune Bio is growing! We're hiring a Scientist with a strong focus on Vascular Biology to join our close-knit NYC team. Help us discover novel therapies using cutting-edge target discovery tech. Sound like you? Learn more at https://t.co/qVIqIpGx5x

[Nature Biotechnology @NatureBiotech]

Precise RNA targeting with CRISPR–Cas13d https://t.co/H0veP0ruW8

[harm @harm__w]

We are hiring! Dear CRISPR community, we are looking for a CRISPR expert with strong track record in pooled screening to develop and apply next generation screening tools. Please share! https://t.co/hoLH7djhwF

[harm @harm__w]

We are looking to grow our team at Neptune Bio in NYC. Come and join us developing next generation therapies! https://t.co/Pp4kntggKI

[harm @harm__w]

Exciting news! Thrilled to share our latest work from the @nevillesanjana lab - a powerful demonstration of the Cas13 toolbox I developed during my postdoc at @NYGC alongside an incredible team. Huge congrats to @wenweiliang, @drsimonmueller, and the whole team 🎉🔗

[Neville Sanjana @nevillesanjana]

🚨🚨🚨 Thrilled to share our newest study — identifying functional long noncoding RNAs using transcriptome-scale RNA-targeting CRISPR screens.
🔎🔎🔎
We hope this scalable approach will be helpful for folks who want to connect noncoding RNAs to phenotypes & diseases.

[harm @harm__w]

Huge congrats to the entire team, led by @mh_kowalski, with exciting deep learning highlights by co-lead @jjohlin and @anshulkundaje. It has been a fantastic experience working with this team!

[harm @harm__w]

So excited to see our work on decoding alternative polyadenylation choices being published! Really grateful to Rahul @satijalab for seeing the very first idea we discussed during my postdoc interview through with me.

[Rahul Satija @satijalab]

Interested in 3' UTR changes in scRNA-seq? Check out our:
* CPA-Perturb-seq paper
* UCSC Perturb-seq tracks (see who regulates your favorite 3’ UTR!)
* Seurat extension for polyA site analysis (PASTA)
* Deep neural perturbation network (APARENT-Perturb)
https://t.co/XXYEBHV1iG

[harm @harm__w]

Very exciting extension of the CRISPR Cas13 platform tailored to study individual mRNA isoforms. Congrats to the Knowles team!

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

Excited to share our work on targeting Cas13 to splice junctions for isoform-specific RNA knockdown. We learned a lot about the experimental design, assessment and downstream analysis of this approach. Phenomenal effort from all involved! https://t.co/6KhXamGXyJ

[harm @harm__w]

@k3yavi @TheWistar Congrats Avi! That’s exciting news!

[harm @harm__w]

@NatHarooni @AndrewStirn @david_a_knowles @nevillesanjana Thank you, Nat!

[harm @harm__w]

Excited to share our new work on RNA-targeting CRISPRs. Our team (@AndrewStirn, @david_a_knowles, @nevillesanjana & myself) developed TIGER a deep learning model that can be used to precisely control/titer gene expression! https://t.co/J9sFXhq3bV

[harm @harm__w]

@WahlePhilipp @NatureBiotech @AndrewStirn @david_a_knowles @nevillesanjana Thanks Philipp. Yup, trying to

[harm @harm__w]

@ewyler @AndrewStirn @david_a_knowles @nevillesanjana Thank you, Emanuel

[harm @harm__w]

@davidliwei @AndrewStirn @david_a_knowles @nevillesanjana That’s an interesting thought and an exciting next step!

[harm @harm__w]

@GemmaNoviello Thanks Gemma!

[harm @harm__w]

Big thank you also to @alexmenman, @SydneyhasnoHart and Eric Kim for their substantial input to this work. Thank you for reading this thread. More details in our manuscript. We are looking forward to your thoughts and feedback! 13/13

[harm @harm__w]

You can use our guide RNA design software (https://t.co/cmQOPIf2Kp) to predict guide RNA on- and off-target efficiencies for custom RNA targets 12/13