CD3 at UPenn MSTP program. Former technician at Princeton University and UCSF. Interested in synbio, systems bio and cancer biology.
Pennsylvania, USA
Joined June 2018
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We are published! Check out the full paper here: authors.elsevier.com/c/1e13B…. We added some fun analysis of our endogenous Erk signaling data and fleshed out tunable versions of our circuit design. Please DM if you have any questions, always happy to chat!
Pavithran Ravindran retweeted
Sharing a new preprint @arjunrajlab and Katherine Uyhazi's labs, "Single-cell spatial transcriptomics of inherited retinal degeneration reveals broad and focal organization of disease responses"! 👁
biorxiv.org/content/10.64898…
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Pavithran Ravindran retweeted
How do T-cell responses evolve across time, state, and tissue space in human GVHD? 🩸🧬📍
In our new @NatImmunol study @elhamazizi @RanReshefNY , we build a spatiotemporal atlas and connect clonal dynamics with tissue adaptation and localized injury.
🔗 doi.org/10.1038/s41590-026-0…
Pavithran Ravindran retweeted
Several groups are now converging on a surprisingly simple idea in perturbation biology: how cells fluctuate before a perturbation tells us how they will respond after it.
That idea is the starting point of CIPHER.
Pavithran Ravindran retweeted
Gaining therapeutic access to the human brain is one of the biggest unsolved problems in biomedical science.
Today @nature, we uncover a massive influx of immune cells into the human brain during aging, revealing that the brain is more accessible than previously thought. 1/
nature.com/articles/s41586-0…
Pavithran Ravindran retweeted
Tumor immune evasion is programmable🛡️🧠.
Our integrated single-cell CRISPR screening framework maps kinase control of T cell–driven tumor states in Glioblastoma(GBM) 🧬and nominates druggable nodes 💊 (e.g., EPHA2/PDGFRA) that blunt evasive programs and boost T cell killing 🔥.
Check out this incredible work from my fiancée's PhD!! Everyone is trying to sequence more cells x conditions x genetic perturbations, but sequencing becomes prohibitive. Here, she and her co-authors describe a method to sequence just the parts of the transcriptome that you need!
Excited to share some of my PhD work! Here we present Targeted Reverse Transcription-Linker (TRTL), a modular method for scalable, targeted, combinatorial single-cell RNA-seq: biorxiv.org/content/10.64898…
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Pavithran Ravindran retweeted
We’re hiring!📣
Exciting opportunity at the Irving Institute for Cancer Dynamics and School of Engineering and Applied Science at Columbia: Associate Research Scientist. Lead pooled CRISPR + Perturb-seq screens to close AI-identified knowledge gaps. Apply apply.interfolio.com/172825
Hire him ASAP!! One of the smartest, fun and caring scientists out there. And this science is incredible! Engineering histones are finally here!
Excited to share my postdoc work, out on bioRxiv today! Histones package DNA into nucleosomes to form the building blocks of chromatin, but how modular and programmable is this system? 1/9
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Tour de force from @shi_lingting taking a multi modal approach to study GVHD! The T reg rewiring finding is particularly cool! Check out the work on biorxiv!
I just presented my work at the @KeystoneSymp
Single Cell Biology-where we tracked how human T cells evolve across time and space during #GVHD. And it changes everything.
💡 It’s not just infiltration—T cells adapt and shift phenotype as they migrate through tissue.
bioarxiv 👇
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Pavithran Ravindran retweeted
So excited to finally see this out! Congrats @sun_yusha and @XinW_up 🥳
Super excited to share our recent work now out in @Nature! We introduce trans-synaptic tracing tools from circuit neuroscience to study the whole-brain connectome of glioblastoma. nature.com/articles/s41586-0…
Pavithran Ravindran retweeted
Excited our work is out today in PLOS Biology!
We find that, over 2 steps of evolution, mutations shift from improving 2 traits at once to 1 at a time.
This suggests that mutations that improve many traits are rare.
journals.plos.org/plosbiolog…
Do the mutations that drive evolution improve many traits or few? How might this change over the course of evolution? Excited to share our new work exploring these questions in the first 2 steps of adaptation w/ @liyuping927 @gsherloc @PetrovADmitri 🧵1/n biorxiv.org/content/10.1101/…
Pavithran Ravindran retweeted
Excited to share our recent manuscript out at @Nature . @piraner and @majo__duran from @roybal_lab and @Mohamad_Abedi and @AdamChazin in David Baker's lab engineered synthetic receptors that sense natural and designer soluble cues. nature.com/articles/s41586-0…
So honored to have gotten to play even a small role in this work!! Synthetic biology 🤝next-gen therapeutics
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Pavithran Ravindran retweeted
Cute story alert!🧵@Caltech two clueless office mates (@piraner & I) created a tool to control cells with ultrasound. As postdocs (@UCSF & @UWproteindesign), we teamed up again (with @majo__duran & @AdamChazin) to build a tool for engineered cell signaling nature.com/articles/s41586-0…
Pavithran Ravindran retweeted
TP53:
- Discovered 45 years ago, most cited gene all time
- No therapies
- 500 million people currently living will die of TP53 mutant cancers without new therapies
Our Preprint:
- A general strategy for TP53 missense mutant cancers (majority) with prototype small molecules
Pavithran Ravindran retweeted
Excited to share our new
@biorxivpreprint in which we demonstrate the formation and maintenance of cellular memories in melanoma during acquisition of therapy resistance - dependent on the transcription factor AP-1 biorxiv.org/content/10.1101/… (1/9)
Pavithran Ravindran retweeted
Excited to launch our cloud-based image analysis platform today at nimbusimage.org! Analyze and interact with your data, all in the browser. Follow sign-up instructions to request an account.
Pavithran Ravindran retweeted
Meet 2024 Hertz Fellow Zijian Niu! Zijan's research focuses on the development of novel computational methods for biological image analysis. He received his bachelor’s from @Penn and will start a PhD program in computational and systems biology at @MIT. hertzfoundation.org/person/z…
Pavithran Ravindran retweeted
It's new-preprint-from-the-lab day! (In my opinion the most fun + authentic day to celebrate a new publication.) Check it out:
"Large-scale control over collective cell migration using light-controlled epidermal growth factor receptors"
biorxiv.org/content/10.1101/…
Beautiful study showing how capturing the transcriptional response of cancer to many drugs can help classify the drugs by their activity in cells in ways that are sometimes non-intuitive from chemical structure alone!
Excited to share a pre-print from the lab describing our effort to use multiplex single-cell chemical transcriptomics to examine differences in tumor cell response associated with the precise manner by which you target an oncogenic kinase.
biorxiv.org/content/10.1101/…
