Johannes Wilbertz

Currently #iPSC #imaging #drugdiscovery at @Radboud_Uni, @univgroningen, @FMIscience & @Sanofi

[Johannes Wilbertz @jowilbertz]

In our latest study together with @IStemFrance we focused on Phelan-McDermid syndrome (PMDS), a genetic disorder that presents complex challenges in neurodevelopment and synaptic function.
#PMDS #StemCells
Read the paper (https://t.co/nZZqHCRlDN) & the thread. 1/n

[Michael Baym @baym]

This kind of naive thought is attractive because it makes the problem amenable to fashionable technology (AI). The real problem is we barely understand what many diseases even are

And that’ll require basic science, which will seem esoteric or irrelevant until it really isn’t

[Johannes Wilbertz @jowilbertz]

CellPainting offers powerful profiling alongside Omics. The JUMP consortium tested >15K genes by overexpression, KO, or both. The data is shared as the genetic subset of the >100K small molecules tested by JUMP before. Congrats @DrAnneCarpenter and team & my Ksilink colleagues!

[Anne Carpenter, PhD @DrAnneCarpenter]

Now on biorxiv! The JUMP-Cell Painting Consortium’s paper:

“Morphological map of under- and over-expression of genes in human cells”

This is the genetic perturbation portion of the JUMP’s dataset; our chemical perturbation paper will come in a few months
https://t.co/IY127qNjMR

[Johannes Wilbertz @jowilbertz]

Make sure you know which fibrils you are using...

[The Science of Parkinson's @ScienceofPD]

New research compares the strain properties of #Parkinsons-associated alpha-synuclein fibrils isolated from Lewy Body Dementia (LDB) & Multiple Systems Atrophy (MSA) patient samples with the resulting amplified fibrils following seeding amplification assay
https://t.co/hwT0iwWO6x

[Wickstrom-Lab @WickstromLab]

Excited to share our latest work on an image analysis paradigm that combines cell state and morphology analyses of patient biopsies at single cell resolution to uncover clinically relevant head-and-neck #cancer phenotypes! @CellCellPress https://t.co/ijdKjiwHXl tweetorial👇

[Johannes Wilbertz @jowilbertz]

Interesting that the focus is on better data, rather than novel computational approaches/algorithms.

[Vega Shah @dr_alphalyrae]

The future of machine learning for small-molecule drug discovery will be driven by data | Nature Computational Science https://t.co/zaiIevj6yv

[Johannes Wilbertz @jowilbertz]

Great overview about some key innovations in science during the last 20 years. One of my favorites: ImageJ/FIJI. Possibly the software most responsible for democratizing image analysis for non-experts. https://t.co/qzP683mhGn

[Johannes Wilbertz @jowilbertz]

Love this!

[bone @boneGPT]

@demishassabis @geoffreyhinton In a few decades you'll get yours for alphafold

[Maxim Greenberg @maxvcg]

Nobel Prize in Physiology or Medicine: Biology
Nobel Prize in Chemistry: Biology
Nobel Prize in Physics: Sounds like Biology

#NobelPrize

[Rita Strack @rita_strack]

Just returned from a short, but productive trip to Chicago for the @czbiohub Chicago Bioengineering conference. I wanted to list some take home points I gathered from the meeting! (A thread).

[Laura Luebbert, PhD @NeuroLuebbert]

Just in time for my 29th birthday today, I am so excited to present: gget v0.29.0 🎉

We added four new modules that are all about
- gene-disease effects
- cancer
- drugs
- therapeutic targets

🧵

[Jean-Yves Tinevez @jytinevez]

1/ I'd like to share a short thread about our project to build a nationwide, distributed core-facility for bioimage analysis. We discuss this in our recent preprint:

https://t.co/DQ38mFA0Ya

[Johannes Wilbertz @jowilbertz]

🚀In our latest work we explored Parkinson’s disease molecular pathology. We found that certain small molecules can rescue multiple morphological features, induce mitochondrial uncoupling & decrease αSyn protein levels. Huge thanks to our amazing team! https://t.co/sBOXbMca4r

[Fabian Theis @fabian_theis]

Thrilled to share our „PRedictor Of PHEnoTypes“ model Prophet! Led by @Alejandro__TL & @_yji_, Prophet is a transformer-based model that predicts outcomes for unseen experiments. It aims to understands biology by learning across assays and phenotypes over 4.7M+ experiments.

[Johannes Wilbertz @jowilbertz]

Congratulations @LukeIsbel ! Best wishes

[FMI science @FMIscience]

The Max Burger Prize is awarded to @LukeIsbel for revealing key mechanisms regulating the activation of genes targeted by p53, a protein that protects DNA from long-term damage. He showed bold, unconventional thinking & determination to advance his project, the committee said.

[Johannes Wilbertz @jowilbertz]

A great panel setting many things into a realistic (and still very exciting) perspective. AI can't generalize outside of the distribution it was trained on. I guess it all comes down to AI-assisted (versus AI-driven) and creating high quality relevant data for training.

[Anne Carpenter, PhD @DrAnneCarpenter]

In case you were sad to miss this panel with Derek Lowe, Jen Nwankwo, Alex Snyder and myself, it's available now!

AI Drug Discovery: Ripe or Hype & What's Next

Thanks to Rhie Lim for organizing and moderating
https://t.co/8ZR0EE9yun

[FMI science @FMIscience]

Don't miss the next TriRhena Gene Regulation Club, a half-day symposium on gene regulation and related topics. Plus, you’ll get to visit our new building on the Novartis campus in Basel! 👇🏽

[Chemistry World @ChemistryWorld]

Derek Lowe has been sharing his opinions on biomedical research to a global audience for over 20 years. Here, with grace and good humour, he takes a tour some of his most spectacular misses.
https://t.co/8PVu82qAcc

[Arjun Raj @arjunrajlab]

For all the fancy single cell profiling methods out there, cell morphology is surprisingly informative… and ~free.

[Anne Carpenter, PhD @DrAnneCarpenter]

Happy Friday! I want to elaborate on a thought provoking discussion from last night’s Kendall Square panel AI in drug discovery featuring Derek Lowe, @JenNwankwo, Alex Snyder, and me (thx Rhie Lim/CIC for organizing!)

It should interest techbio/biotech VCs and founders-to-be: 🧵

[Anne Carpenter, PhD @DrAnneCarpenter]

Cell biologists!
This is a fantastic statistics primer custom made for you. Very practical, must-read!

From Pollard lab five years ago:
https://t.co/DHJqPMXWGH