Dr Francesca Telese retweeted
Excited to share Bolero, out on bioRxiv. @arcinstitute posted a great overview. Here I want to add another perspective that motivated it for us (also a few more higher resolution images).
Dr Francesca Telese retweeted
1. CRISPR came from basic research on bacteria.
2. Optogenetics started with a discovery in algae.
3. The GFP protein comes from jellyfish.
The biggest breakthroughs all trace to scientists follow their curiosity. This is one huge reason why we must keep funding basic research!
Dr Francesca Telese retweeted
Inspired by Gibson cloning, we describe prime assembly, now published, for in cellulo targeted integration of gene-sized DNA fragments using prime editing. nature.com/articles/s41586-0…
Dr Francesca Telese retweeted
MIT published a brutally honest report on what AI is doing to students.
A committee of professors and students spent five months studying how AI changed learning on campus, and the findings read like a warning to every university on the planet.
Study groups are disappearing. Office hours are emptying out. Problem sets and take-home exams no longer prove anything, because AI can produce credible solutions to almost any written assignment in the undergraduate curriculum. Students who lean on chatbots lose mastery and confidence, and some slip into what the report calls cognitive surrender, reaching for AI at the first hint of struggle.
The numbers are rough. 46 percent of surveyed MIT undergrads use LLMs daily. 90 percent worry about their own overreliance. Undergrads who feel AI makes them replaceable now outnumber those who feel it makes them capable.
The committee's answer surprised me. They refused to fight AI with surveillance. The report calls AI detectors unreliable, says lockdown browsers feel like spying, and warns that policing students builds a classroom atmosphere of mutual distrust.
Instead, MIT wants to rebuild education around the things AI can't replace. That means oral exams, semester portfolios, in-person project work, and a required social component in every subject. The report even floats the idea of rethinking grades entirely, since without a GPA to optimize, much of the incentive to cheat with AI evaporates.
The committee warns professors against replacing undergrad research assistants with AI agents just because they're cheaper, because a university exists to grow people, not output.
The most famous tech school on earth admitted the machines broke its way of teaching. Its answer is more humans, not more software.
Dr Francesca Telese retweeted
🧬🧪🔬Why are enhancers transcribed? How does it impact gene regulation? I’m excited to share our new paper in @ScienceMagazine showing that ncRNAs control the timing of gene activation in embryos. w/Mike Levine #ScienceResearch #RNA
A few highlights 🧵👇
science.org/doi/10.1126/scie…
Dr Francesca Telese retweeted
Breaking News: Yayoi Kusama, a Japanese artist whose work caused a stir in the 1960s, while her “Infinity Room” installations drew crowds in recent decades, has died at 97. nyti.ms/4hXlFrg
Dr Francesca Telese retweeted
Cells control gene expression through combinatorial interactions between readers, writers, and erasers of chromatin marks, but most epigenetic editing tools rely on a single effector in isolation.
The @pdhsu & @SKonermann labs developed COMBINE: the first platform to systematically test those combinations at scale, screening 50,000+ effector pairs.
Does every enhancer work with every promoter?
With @jengreitz and @WJGreenleaf, we revisit this long-debated question and resolve an outstanding contradiction in the field.
A tour 🧵👇
biorxiv.org/content/10.64898…
Dr Francesca Telese retweeted
The peer-reviewed version of single-cell joint methylome+RNA (66k cells) study of aging & autism human brains is now available in @CellGenomics. The study was a collaboration with @GeschwindLab and was led by Katie Eyring & Cuining (Choo) Liu. cell.com/cell-genomics/fullt…
Dr Francesca Telese retweeted
We worked hard to revise our #psilocybin & #ketamine snRNA-seq study to make it a resource.
Interactive web portal: psilo-seq.kwanlab.org
Annotated to @AllenInstitute 's 16 neuronal and non-neuronal cell types, with updated analyses in preprint.
Check it out!
Dr Francesca Telese retweeted
In a Molecular Cell paper, NEB scientists describe the identification of a deaminase that converts 5mC to T, enabling direct sequencing of the human methylome and genome. doi.org/10.1016/j.molcel.202…
Dr Francesca Telese retweeted
This paper took nine years and was, honestly, a labor of love and a fair amount of suffering. It took several labs, sustained NIH support, and a lot of people who stuck with it, a whole village!
It is one of the largest cocaine self-administration studies ever done in rats. Definitely my biggest experiment (so far). Most self-administration study runs dozens of animals. We phenotyped 836, with extended access over several weeks, plus measures of escalation of intake, motivation under progressive ratio, and continued use despite footshock.
A quick breakdown of the results.
First, we replicate our earlier behavioral analysis, which used about half as many animals (doi.org/10.7554/eLife.90422.…): escalation of intake, motivation to seek cocaine, and compulsive-like responding are tightly correlated and cluster together. Now, with more animals we now resolve finer structure. The behaviors separate into early acquisition, late acquisition, escalation, and a motivational/compulsive factor that groups breaking point, responding during timeout, and responding during footshock. That grouping makes a lot of sense.
Second, these behaviors are heritable. Phew, good ;-) SNP-based heritability came in around 7 to 16% depending on the trait. That is modest and, as expected, well below twin-study estimates, but it is real. The most heritable phenotype was a composite measure of behavior during escalation after several weeks of self-administration, and 7 of the top 10 most heritable phenotypes came from long access. That validates the importance of the long-access model.
Third, we found six loci across five chromosomes tied to different addiction-like measures. One is unusually clean: a narrow region containing a family of carboxylesterase genes, the enzymes that metabolize cocaine, with a direct ortholog to the human enzyme CES1. It was associated with the time between infusions, an interval long proposed as a measure of compulsive-like intake, and the effect size (0.75 SD) is pretty large sufficient to change an individual from mild to severe. Finding a metabolic enzyme echoes human GWAS for cocaine and tobacco use disorder, which also point to pharmacokinetic enzymes for alcohol and nicotine. A nice crossspecies translational convergence on the idea that metabolism genes contributes to addiction vulnerability.
This also converges with an existing therapeutic effort. For 15+ years, groups have worked on engineered carboxylesterases to treat cocaine overdose and addiction, without knowing that genetic variants in that same enzyme are actually tied to cocaine vulnerability. That work has moved slowly, partly because pharma has shown little interest. Our data give the direction more reason to exist.
We also picked up Trak2, which has been identified in human cocaine use disorder GWAS. Trak2 helps traffic GABA receptors in the brain, and GABA signaling is something we and others have found to be central to drug self-administration. On top of those two genes, we replicated several from human alcohol and tobacco use GWAS, including SLC10A7, PLCL1, and SATB2. Finding these parallels between human and animal data is exciting, especially now, when animal models are often dismissed as useless for understanding mental illness. They are not, and this is a clear example of why.
Finally, no GWAS is much fun without new candidates. We found several genes carrying expression or splicing QTLs in relevant brain regions, including Rasd2, Gnas, Ctsz, Lsm6, Vsnl1, and Zfp831, Slc6a2, a number of them tied to dopamine/norepinephrine signaling.
Thanks to @kallupi_marsida , @giodeguglielmo , and @LotCarrett in my lab for an enormous amount of behavioral work, to @AbePalmer's group @PsychiatryUcsd and first author @MontanaKayLara for the genetic analysis, and to Leah Solberg Wood @WakeForest for the HS rats. And a real thank you to our @NIDAnews program officers and the study section reviewers who backed this epic study when it was far from a sure thing 8 years ago...
doi.org/10.1038/s41467-026-7… @NatureComms
Dr Francesca Telese retweeted
Postdoc opening on neuro(epi)genomics in the Nott and Marzi labs, applications close this Mon 8th June!
Dr Francesca Telese retweeted
RNA transcripts from rodents, monkeys and humans are used to train a transcriptomic clock, a computational model that can predict age, mortality, and lifespan, on the basis of gene-expression signatures.
nature.com/articles/s41586-0….
Presented at #ASCO26:
Among patients with 𝘙𝘌𝘛 fusion–positive non–small-cell lung cancer, adjuvant selpercatinib led to longer event-free survival than placebo. Adverse events of grade 3 or higher included elevated liver-enzyme levels. Full phase 3 LIBRETTO-432 trial results: nej.md/3Q3QcIo
@ASCO

ALT Graph depicting survival rates over time for patients using selpercatinib versus a placebo in early-stage RET fusion-positive non-small-cell lung cancer. The x-axis shows months since randomization, and the y-axis represents the percentage of patients. The logo for the New England Journal of Medicine is present.
Dr Francesca Telese retweeted
Online Now: Chromatin architectures underlying plasmid-based assays for regulatory variant effects dlvr.it/TSkLhj
Dr Francesca Telese retweeted
NEW: A serious staffing shortage — of the Trump admin's own making — is delaying the agency's ability to send billions to universities around the US, leaving labs reeling.
“I thought we were at rock bottom”, a senior NIH official said. “We are below rock bottom now.”
High glucose impairs cognitive function through Creb3 O-GlcNAcylation and increased lactate production | Science Signaling science.org/doi/10.1126/scis…
Dr Francesca Telese retweeted
Microglia-dependent regulation of fear memory extinction
nature.com/articles/s41593-0…
Excited to share this preprint from our team and collaborators at UCSD
Transcription initiation profiling defines the regulatory logic of astrocyte gene regulation biorxiv.org/content/10.64898…
We asked how do astrocytes decide which genes to turn on during inflammation?
We mapped transcription initiation in astrocytes at single-base-pair resolution to define active regulatory elements. We show that astrocyte transcription factors shape both where transcription starts and how strongly regulatory elements are activated during inflammation.




























