Tzur lab

Yonatan Tzur's laboratory @GeneticsDepart1 of @HebrewU focusing on #meiosis, #germline and genome engineering

[Tzur lab @LabTzur]

Please RT:
The Tzur lab at the Hebrew University is looking to recruit post docs and graduate students to study germ cell development and fertility using C. elegans and human oocytes.
Candidates can apply via: https://t.co/J6xDs6zeLd
or email: [email protected]

[Tzur lab @LabTzur]

@ItamarHarel It's hard to follow the horde😁

[HUJILife @LifeHuji1925]

הכירו את ח״כ ד״ר יאסר חוג׳יראת, בוגר מכון סילברמן, יו״ר ועדת המדע והטכנולוגיה בכנסת.
במפגש הקרוב של “אופקים רחבים” הוא ישתף במסלול מהמחקר להשפעה ציבורית.
📅 8.6.26 | ⏰ 16:00–18:00
📍 מועדון הסגל, סילברמן
🍻 בירה חינם לנרשמים
🔗 להרשמה: https://t.co/TNuwk5fYH3

[Tzur lab @LabTzur]

@ItamarHarel Beautiful!🐟

[Tzur lab @LabTzur]

@ArbelyLab Congrats Eyal and Fang.
I like it when old riddles are finely solved.

[Tzur lab @LabTzur]

🤯

[Peter Ly @PeterLyLab]

Excited to share our latest paper, out today @CellCellPress. We found that large pieces of the human genome can transfer between cells upon direct contact, endowing recipient cells with heritable phenotypic changes. (1/7)

https://t.co/SbshGhofN0

[Igor Ulitsky @IgorUlitsky]

Now out in @NatureBiotech ! Do lncRNAs commonly bind 1000s of genomic sites? Maybe they do, but the dozens of studies that report genomic binding maps of lncRNAs are deeply flawed, with probes binding suprious DNA sites rather than RNA-bound ones. https://t.co/01NroM67dK

[Tzur lab @LabTzur]

I have been waiting for that....

[Oded Rechavi @OdedRechavi]

Important announcement!!!🫵💥💫

Would you have a tooth pulled if it helped your chances to get an important grant funded?

Absurd question (obviously), but the situation right now is so bad funding-wise, that I bet some of you actually considered it for a second…

Well, don’t get desperate - we created a new tool that might help! (keep your teeth!)

I’m excited to announce that as of today we are officially releasing “QED for Grants” for everyone. What started off as an extension of our existing paper review platform, grew in the last few months to an entirely new design. We’ve been working like crazy on this, and although we have more things we want to add in the (very near) future, we decided to release our AI for grants NOW, earlier than planned. It’s not perfect, no AI is, but for the first time, when I run my own grants through @qedscience, I feel it gets the research, finds real problems, and gives me very useful feedback that I can implement before submission. It’s like sending it to 20 scientists from my domain, knowing they’ll agree to dedicate their entire week to carefully read and comment on every line.

It’s very important to write your own grants yourself, it makes you think hard and you learn a lot from doing it, and q.e.d’s system is designed to preserve these positive aspects and augment them - you get feedback on your own writing, we don’t write for you!!

But at the same time, a typical PI spends many months every year writing proposals and sadly only a tiny fraction gets funded, even if the ideas are good. When you are forced to submit an unreasonable amount of grants the quality of the writing drops, and rejection rates increase. Not because the essence is bad. It’s simply too competitive right now (the cuts made it so much worse) and if your proposal is not super clear and tight, and if it’s not a perfect fit for the grant you’re submitting, you’re doomed.

Our grant solution is not an authoring, text-generating tool. It gives you constructive feedback on your writing (it comments on the deep things, not grammar and typos). It’s meant to help you with the questions that torment you late at night (“is this a good fit?”, “Is this novel enough?”, “Did I miss something?”). Tens of thousands of you already use q.e.d to improve your manuscripts and critically read papers, we built the grant tool by the same principles (you’ll identify many of the features that you told us you like).

We’ve processed thousands of proposals, learned where things fail, where reviewers get stuck, why good ideas come out weak. We interviewed hundreds of scientists, and also experts who work in funding agencies and university research authorities, and implemented their feedback (we’re constantly looking for more feedback). Our AI is always happy to give you constructive (and polite!) critique, and it will go through your grant line-by-line, forcing you to improve clarity, flag weak points, and push the whole thing to a higher standard. We study, in scale, what gets funded and what doesn’t, and what is the perfect fit for each type of grant.

So please, use it, pressure-test it, tell us where it fails, and together we’ll improve it every day to put you in the best position for actually testing your ideas in the real world. As always with q.e.d, the system is completely secured and private, and we are NOT training on your data (see the FAQ on our website).

Please like, retweet, and share with your favorite colleagues! (link to the platform below in the thread👇)

[Tzur lab @LabTzur]

Just when you think we found the roots, there is something even more amazing and ancient👇

[Kenneth Loi @kenjmloi]

Excited to share our discovery of a new programmable RNA-guided DNA-targeting system hiding inside bacteriophages that predates CRISPR.

We call it VIPR (Viral Interference Programmable Repeat), and it uses an entirely new logic to find its targets.

Thread + link below.

[Igor Ulitsky @IgorUlitsky]

Despite EVERYTHING, we're still on for our annual Nucleic Acids Therapeutics next week at the Weizmann! There are still places to register (for free!), link in the first comment. Looking forward to meeting friends, great science, deep discussions, and great food, as always :-)

[Reviewer 2 @GrumpyReviewer2]

#AcademicChatter #AcademicX

[Tzur lab @LabTzur]

And now do comparative transcrptomics between Jedis and Sith lords

[Derya Unutmaz, MD @DeryaTR_]

I will share many examples of ChatGPT Images 2.0 that I generated during early access testing. It is truly incredible what it can create! The image below is almost a replica of the first page of a Nature article, but what is actually unbelievable is that the content actually makes biological sense! In fact, I generated the full 8 pages of this paper, and I will share those as well.

The prompt was simply: “Create a Nature paper front page on Klingon biology and diseases, by Derya Unutmaz, Starfleet, USS Enterprise, Mars” or my dream paper 😅

[Tzur lab @LabTzur]

@DanielB66026256 @goldstein_lab Congrats!

[Tzur lab @LabTzur]

Can a mammal be male without Y chromosome or the SRY gene? Checkout this new publication👇

[Nitzan Gonen @gonen_nitzan]

1/n
🤩 Beyond excited to share our recent paper, published today @NatureComms!! 🤩
This study represents, in my view, one of the most striking phenotypes we ever found with really important findings and implications.

https://t.co/zG6QqPPEua

[Philippos Papathanos @phiC32]

New preprint! 🦟🧬The key to engineering daughter-killing in mosquitoes isn't what X-linked gene you target with CRISPR. It's when during sperm development you cut it. X-poisoning in Anopheles at last. https://t.co/qZ9FhfgmHw

[Tzur lab @LabTzur]

@ItamarHarel @meshorer1 @WalaaOweis @SpringerNature Congratulations!

[Misha Teplitskiy | Science of Science @MishaTeplitskiy]

Professors today: "Wahh, wahh, my students gave me bad course evaluations and it hurt my feelings 😞😞😞"

Professors in 14th century Paris: "I gave a bad lecture and the students threw stones at me"

[Tzur lab @LabTzur]

@ScholarshipfPhd Switch to @qedScience

[Oded Rechavi @OdedRechavi]

Professors work on the bench

[Tzur lab @LabTzur]

C. elegans + RNAi

[Pepsi @pepsi]

name a better combo than Pepsi + pizza. we’ll wait.