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Feng Zhang Profile
Feng Zhang

@zhangf

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Following
276
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125
Statuses
281

Engineer and molecular biologist. Curious about the world and optimistic to make it better.

Cambridge, MA
Joined April 2015
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@sajithw
Sajith Wickramasekara
2 months
Long time lurker, breaking a decade of silence to share an essay on what I've learned from scientists about making medicines (spoiler: it's hard) and why the future looks bright (also spoiler: AI) đź§µ
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@zhangf
Feng Zhang
2 months
Deeply saddened by the loss of David Baltimore - a mentor, role model, and scientific giant who shaped so many of us. Most memorably, I was sitting next to David, a month after I started as a baby Assistant Professor, when I learned about CRISPR. His kindness and wisdom will be
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nytimes.com
He was only 37 when he made a discovery that challenged the existing tenets of biology and led to an understanding of retroviruses and viruses, including H.I.V.
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@kreitz_joseph
Joseph Kreitz
3 months
Check out our new paper, out today in @NatureBiotech! We present SPEAR, a modular system for biomolecular cargo delivery with bacterial "nanosyringes". Thanks to my advisor, @zhangf, and amazing undergraduate (now graduate) student @vicy_ang https://t.co/JKjeRIOuAL
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nature.com
Nature Biotechnology - Ribonucleoproteins, nucleic acids and proteins are delivered into target cell types with nanosyringes.
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@HuanEdmonds
Huan Edmonds
5 months
Can we use RNA to insert kilobases of DNA into the human genome, opening up a new way to engineer cells or treat disease? Excited to share our latest work turning a retrotransposon (a “jumping gene” with an RNA intermediate) from songbirds into a genome editing tool. 🧵 (1/7)
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@zhangf
Feng Zhang
9 months
This work was led by the phenomenal team of @GuilhemFaure, Makoto Saito, @maxewilkinson, in collaboration with Natalia Quinones-Olvera, @Peiyu_Xu_, @FlamShepherd, Stephanie Kim, @NishRReddy, Shiyou Zhu, @LiliaEvgeniou, @eugene_koonin, Rhiannon Macrae.
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@zhangf
Feng Zhang
9 months
What’s next? - Understanding TIGR’s natural function—Defense system? Genome organizer? A new function yet to be discovered? - Engineering TIGR for precision genome editing. - Exploring relationships with box C/D snoRNPs and IS110 transposases and uncovering more Nop-based
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@zhangf
Feng Zhang
9 months
Unlike CRISPR, TIGR is PAM-free, allowing broader targeting. We demonstrated TasR-mediated genome editing in human cells, opening the door for TIGR-based tools, including RNA-guided DNA notifications, base editing, etc.
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@zhangf
Feng Zhang
9 months
TIGR encodes structured RNA arrays in dual-repeat or stem-loop architectures, transcribed into small tigRNAs (~36 nt) with two interspaced guides. The TIGR-associated protein (Tas) is modular, acting as TasA (Nop domain) or fused to nucleases (TasR, TasH). Cryo-EM shows TasR
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@zhangf
Feng Zhang
9 months
TIGRs encode Tandem Interspaced Guide RNA (TIGR) sequences in structured arrays. It has 2 architectures—dual-repeat arrays & stem-loop arrays – that are transcribed and processed into tigRNAs, which guide TIGR associated (Tas) effectors.
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@zhangf
Feng Zhang
9 months
We found that a RNA binding domain of SpCas9 is structurally similar to a region of Nop domain, a known RNA-binding fold in box C/D snoRNPs and IS110 transposases. Further mining of the Nop domain revealed a previously-unknown family of RNA-guided systems in prokaryotes and
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@zhangf
Feng Zhang
9 months
Most RNA-guided systems are found by searching for conserved nuclease domains. We took a different approach, starting from Cas9 REC domains using structural mining, Iterative searches, and LLM-based clustering.
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@zhangf
Feng Zhang
9 months
We are excited to report the discovery of TIGRs, a widely-occurring RNA-guided system found in bacteria and their viruses. TIGRs consist of a peculiar repeat region which is transcribed into RNA and processed into multiple guide RNAs to direct TIGR-associated proteins to their
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science.org
RNA-guided systems provide remarkable versatility, enabling diverse biological functions. Through iterative structural and sequence homology-based mining starting with a guide RNA-interaction domain...
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@zilberzwige
Shai Zilberzwige-Tal
9 months
RNA-guided systems span kingdoms, from bacterial immunity to eukaryotic gene regulation. How did they evolve? We traced the origins of CRISPR-Cas13 and identified its likely ancestor: an RNA-based toxin-antitoxin (TA) system. Here’s what we uncovered: https://t.co/oTGjiN2V3H 1/8
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cell.com
Hybrid structure-sequence mining and biochemical/structural characterization trace the evolutionary origins of CRISPR-Cas13, elucidating how their RNA-guided mechanism likely evolved from an ancient...
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@altaetran
Han Altae-Tran
9 months
#CRISPR revolutionized medicine, but where did its RNA-guided mechanisms come from? Using #AI, we unearthed new Cas13s and found they evolved from toxin-antitoxins, revealing how nature created these amazing reprogrammable molecules. Discover the recipe: https://t.co/nUws6DpNhD
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@zhangf
Feng Zhang
10 months
Congratulations to @rumya_r @mircoscopy @DStrebinger @blake_lash @cyrusbiotech and colleagues on an exciting study combining AI and protein engineering to minimize the immunogenicity of Cas9 and Cas12a nucleases. These approaches have the potential to improve the safety and
@rumya_r
Rumya
11 months
1/ Thrilled to share an advancement in gene therapy from my PhD in @NatureComms! We've developed a new approach to reduce immune responses while maintaining efficiency—paving the way for safer, more effective therapies. Big thanks to @zhangf & @mircoscopy! https://t.co/eXZkpgiMXq
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@zhangf
Feng Zhang
11 months
Happy 2025=1^3+2^3+3^3+4^3+5^3+6^3+7^3+8^3+9^3 and many new discoveries!
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@pdhsu
Patrick Hsu
1 year
Today we report Evo, a generalist foundation model for biology, on the cover of @ScienceMagazine. Trained on billions of DNA nucleotides, Evo was designed to capture two key aspects of biology: the multi-modality of the central dogma and the multi-scale nature of evolution.
@ScienceMagazine
Science Magazine
1 year
A new Science study presents “Evo”—a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo’s ability to predict, generate, and engineer entire genomic sequences could change the
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@zhangf
Feng Zhang
1 year
Excited to see our team’s work on Fanzor now published in @CellCellPress! Amazing effort by @Peiyu_Xu_ and the entire team in uncovering the structural diversity and DNA cutting mechanisms of Fanzor. Proud of everyone involved! Onward to more discoveries. 🚀
@Peiyu_Xu_
Peiyu Xu
1 year
Excited to share that our latest work on Fanzor is now online in @CellCellPress ! By analyzing structures from different species, we’ve uncovered the structural diversity and how they cut DNA. Huge thanks to Feng @zhangf , Makoto, and all collaborators!
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@zhangf
Feng Zhang
1 year
Nature is amazing! Congratulations to @maxewilkinson and team on a beautiful study revealing a clever way that bacteria defend against viruses. Check out Max’s posts for more detail! https://t.co/McWpVBuIMz
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science.org
Reverse transcription has frequently been co-opted for cellular functions and in prokaryotes is associated with protection against viral infection, but the underlying mechanisms of defense are...
@maxewilkinson
Max Wilkinson
1 year
My favourite discovery ever has just come online. Can I please tell you about some seriously wacky molecular biology? The story starts with a reverse transcriptase that SOMEHOW defends bacteria from viruses. (👇 I recommend sound ON for the video 🎹) 1/
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@zhangf
Feng Zhang
1 year
Congratulations to all of the graduates during this commencement season! Wishing you all a creative and fulfilling future!​​​​​​​​​​​​​​​​ "What you follow with your heart will indeed come back to make your life much richer."
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