- LEVITY
- Posts
- An incredible single-gene rejuvenation breakthrough
An incredible single-gene rejuvenation breakthrough
LEVITY podcast episode #26 - with Daniel Ives



✅ Introduction to episode 26 with Daniel Ives. ✅ A lone gene that rejuvenates without inducing pluripotency. ✅ Detailed show notes. ✅ Virtual cells. ✅ A new horizon for partial reprogramming.
🤙🏼 Want to connect? Add me on LinkedIn. 🙏🏼 Not subscribed to the LEVITY podcast on Youtube yet? Do it here. 🎧 More of a listener? The LEVITY podcast is also available on Spotify, Apple Podcasts and other places.

Join me and accelerate the Longevity Revolution with Vitalism Foundation!
Vitalism is the movement for humanity to fight its hardest against aging and death. And if you agree, you’re already a Vitalist at heart. Since it is LEVITY's sponsor, when you join Vitalism Foundation as a Mobilized Vitalist, you’ll support both Vitalism and LEVITY.
As a member, you'll join a fast growing group of over 200 Vitalists, including 100+ founders and investors. You'll enjoy special events, working groups, premium content and unique discounts on longevity products. But most importantly, you will join a community that's making a difference.
Special Offer for LEVITY Subscribers: Join today and receive a 30% discount on your membership using the code LEV at checkout.

A finding that could change aging research
Just about the hottest thing in longevity science right now is partial reprogramming - using Yamanaka factors to rewind the biological clock in our cells. Billion-dollar giants like Altos, Retro, and New Limit are betting on it. But in this episode a far smaller player, Shift Bioscience, argues the field may be looking in the wrong place.
In an exclusive interview CEO Daniel Ives* explains how his team used AI-driven virtual cells to uncover one gene that seems to match OSK-level rejuvenation. Without the tumor risk that haunts classical reprogramming.
And their just-released data could change aging research.
* This is actually our second interview with Daniel in under a year. If you read my feature on Shift back in October 2024, this latest development probably didn’t come as much of a surprise.
🔍 In this episode:
✅ Daniel’s journey from mitochondrial PhD to founding Shift Bioscience.
✅ Why Yamanaka-factor partial reprogramming excites the field and why it’s risky.
✅ Epigenetic clocks 101 - Horvath, single-cell versions, what they really measure.
✅ Building AI “virtual cells” (transformers / GNNs) to run millions of in-silico experiments.
✅ Discovery of new rejuvenation factor sets - incl. SB000, a lone gene that rejuvenates without inducing pluripotency.
✅ Early wet-lab validation in fibroblasts & keratinocytes; mouse studies already under way.
✅ How inhibition targets (not just over-expression) could cut timelines from 15 yrs to ~5 yrs.
✅ Mapping a “risk landscape” of age-linked diseases and why fibrosis may be the fastest clinical entry point
✅ Funding Shift: from redundancy payout to a $16 M seed - and the next raise.
✅ Timelines, escape-velocity hopes, and where cryonics still fits.
✅ What Daniel would ask Jeff Bezos, and why pharma needs to “plug in” now.
You can watch the episode below or listen to it on Spotify, Apple Podcasts or other places, like PocketCasts. Please follow, like and subscribe! 🙏🏼 This will boost our chances of reaching a bigger audience.


Introduction
Co-host Peter Ottsjö sets the stage:
“Today’s guest is Dr. Daniel Ives, founder and CEO of Shift Bioscience. … Shift’s focus has moved from mitochondria to mouse epigenetic clocks to what may now represent a paradigm shift in longevity science: the development of AI-powered cell simulations to discover novel rejuvenation interventions.”
Peter notes Shift’s recent $16 million raise and promises discussion of a new, as-yet-unpublished study that will be public by release time.
Daniel’s origin story - From biochemistry student to longevity start-up
Daniel recalls watching Aubrey’s 2005 TED talk declaring “now’s the time to do something about aging” and says it “captured a whole generation of scientists.”
Early PhD focus on mitochondria.
He targeted “the hardest problem” — moving the damaged mitochondrial genome into the nucleus (a core SENS strategy).
Mentions working with Mark Hamalainen (now head of LBF) on a side-project after the main effort stalled. [Note: Don’t miss our episode with Mark Hamalainen, embedded below.]
Persistence & redundancy payout
When his lab lost grant funding, Daniel chose redundancy over half-pay, used the lump sum (“tax-free money”) to fund his own mouse experiment, and drew in friends, family, and small donations.
Famous anecdote: he asked his girlfriend for her life savings; she told him, “No, go to an investor.”
Finding capital & first pivot
Jonathan Milner (Abcam co-founder) supplied a small conditional donation, later the first equity check when data arrived.
Daniel: “The first thing that happened with that investment was we disproved the hypothesis behind the company.”
Milner introduced him to the concept of epigenetic clocks.
Their mitochondrial-damage fix did not move the epigenetic clock.
Meeting Steve Horvath & the single-cell clock idea
2018 XPRIZE longevity workshop (Los Angeles):
Attendees included Aubrey de Grey & Laura Deming.
When someone asked for an aging biomarker, Daniel proposed the Horvath clock - unaware Steve Horvath was actually in the room.
Horvath stood up: “I am Steve Horvath.”
Afterward Horvath sent Daniel to collaborator Dr Ken Raj who was reverse-engineering clocks.
Outcome: Shift built a single-cell aging clock using gene-expression (transcriptome) rather than DNA methylation.
Daniel calls it the company’s new direction: “[You can] systematically go through every single gene … and assign a relationship to the aging process.”
Crash-course on epigenetic aging clocks
Daniel explains:
DNA methylation = methyl tags on DNA bases that modulate gene expression.
Original Horvath multi-tissue clock (2013) vs. Skin & Blood clock (Horvath + Ken Raj) vs. blood-based risk clocks GrimAge & DunedinPACE.
Clocks are excellent for group-level data; individual testing remains “mostly entertainment at this stage.”

DNA methylation = methyl tags on DNA bases that modulate gene expression. This image might not be exactly how it looks inside your body.
Partial reprogramming & Yamanaka factors (OSKM)
Daniel’s primer:
Shinya Yamanaka (Nobel, 2012) showed four TFs convert adult fibroblasts to induced-pluripotent stem cells (iPSCs).
2016: Tamir Chandra applied Horvath’s clock to Yamanaka’s time-course data → aging clock went to zero.
Risk: OSKM can form teratomas (“a body without a body plan”).
Daniel’s critique: OSKM were “optimized to make stem cells, not to rejuvenate” and remain a “blunt instrument”.
[Note: I’ve written a deep dive on partial reprogramming. It’s available here. Be aware though that the archive is unlocked for PREMIUM members only.]
Building AI “virtual cells”
Need to test 562 million combinations of 3-factor sets → impossible in wet lab.
Shift trained transformers / GNNs on paired single-cell transcriptome + methylome data from hundreds of donor fibroblasts:
“For the first time, you can take these machine-learning models and actually create a cell simulation that behaves similarly to real cells.”
Daniel calls it “like putting your hand through a wormhole into the future … and bringing back the best results.”
Breakthrough discoveries
Six new rejuvenation interventions surfaced in silico.
Recurrent single-gene motif → tested experimentally:
Comparable rejuvenation to OSK without pluripotency markers.
Worked in fibroblasts and keratinocytes (different germ layers).
Gene code-name SB000; Daniel notes it is naturally expressed mainly in germ cells.
Ongoing mouse AAV study: first ask if SB000 expresses in multiple organs and shifts tissue clocks.
Scaling the discovery engine
Computational screen expanded: 150 single genes with rejuvenation potential, 40 pro-aging genes (possible inhibition targets).
Daniel: inhibiting broadly expressed pro-aging genes with small molecules could cut translation timelines “from 15 years to ~5 years.”
Links fibrosis biology to aging; cites IL-11 ‘super-granny’ mice (25 % lifespan boost).
Funding & company strategy
Shift: 24 people (20 Cambridge UK, 4 Toronto ML group with Prof. Bo Wang, author of scGPT).
Raised $16 M seed; seeking an additional $15 M “to get all of our options together” before a larger drug-development raise.
Daniel on fundraising burden vs. focus; sees large-pharma collaboration as key.
Timelines, escape velocity & cryonics
Estimate: Over-expression gene therapy ⇒ whole-body delivery challenge → ~15 years.
Estimate: Small-molecule inhibition route ⇒ ~5 years to first human trials sensing clock reversal.
On cryonics: useful for people near end-of-life; diversity of approaches important.
AGI: may help but still needs the biological datasets Shift is generating.
Culture, language & public perception
Daniel supports a “Longevity Pride Day” for scientists hiding pro-rejuvenation views.
On rhetoric: tries to avoid “live forever” clickbait; emphasizes “wake up feeling better every day.”
Company name “Shift” originally referenced “mitochondrial DNA heteroplasmic shift,” now serendipitously fits each pivot.
Recommended reading
Walter Isaacson, Elon Musk – Daniel admires Musk’s “all-in” risk tolerance as a template for hard-tech ventures.