McDonnell Genome Institute, WashU Medicine

As part of WashU Medicine, MGI aims to improve the human condition by producing and analyzing high-quality omics data.

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

WashU outlines plans for reimagined Goodwill complex https://t.co/g7obSUIZFM

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Multi-omics has advanced—but clinical relevance hasn’t always followed. At MGI, we’re calling our approach Clinical OMICS: a model focused on aligning multi-omics with real patient biology and clinical outcomes.

More here: https://t.co/GsenHSfg0i

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Congratulations to @washumedicine Professor of Genetics Susan Dutcher, who was elected to the US National Academy of Sciences this week. It is a well-deserved recognition of her outstanding scientific achievements.

[Mike White @genologos]

I am a couple of days late, but a huge congrats to our own @WashUGenetics Susan Dutcher on her election to the National Academy of Sciences!

https://t.co/Ee2MkYL90D

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

With AI becoming an increasingly important discovery tool, every scientists should learn something about it. Here are some recommendations for learning about AI for everyone, ranging from easy math to grad level statistics.

https://t.co/qQyOaCwpnT

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

The New York Times profiled Lila Sciences, a company co-founded by one of our @WashUGenetics Computational and Systems Biology graduates.

Read more about Lila's AI-guided experiments:

[Mike White @genologos]

Interesting NYT piece on Lila Sciences, a start-up based on AI-guided experimentation to develop new therapeutics and materials. Co-founded by one of our @WashUGenetics comp bio grads, Molly Gibson.

Iterating between experiments and AI models is the way.

https://t.co/jUu97gr7HH

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

The science behind a new non-opioid analgesic recently approved by the FDA:

https://t.co/yBxN839raU

[Mike White @genologos]

Something that would make a lot of people's lives better would be a non-additive drug to treat severe and chronic pain.

Thanks to the NIH and forward looking research by Pharma, these drugs are on their way:

https://t.co/ZxH9y5VS29

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Delivering large DNA inserts into the mouse genome has been a persistent challenge. Here is Dr. Xiaoxia Cui, director of our Genome Engineering & Stem Cell center on a more efficient approach for CRISPR-based knock-ins:

https://t.co/iar02MwPP4

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Step inside the MGI—where genomics, high-plex proteomics, and mass spectrometry power discovery. See our team and cutting-edge tech in action, from sequencing to biomarker discovery. Watch the video: https://t.co/ZwL6WQNPcu

@illumina @10xGenomics @PacBio @SomaLogic @thermosci

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Our Functional Imaging for Variant Elucidation (FIVE) technology hub presents SiDoLa-NS—a novel tool leveraging synthetic biophysical simulations to enable precise, multi-scale segmentation and atlas mapping for spatial omics in the nervous system.

https://t.co/FpMlPZT8Al

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

What technologies were needed to make the Human Genome Project work?

Here are some of the 1980's origins of genomics and the McDonnell Genome Institute. If you like genomics and history, this is for you.

https://t.co/e2RU5gBczk

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Mayo Clinic's advancements in neuroscience highlight the field's ongoing evolution. At the MGI, we're aligned with this mission and leverage high-plex proteomics, genomics, and cell engineering to translate discovery into real-world impact for patients.

https://t.co/LvWqoO4zfv

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Genomic deep learning when you don't have enough data for big models:

https://t.co/s8x38O7hBJ

[Mike White @genologos]

Science published another genomic foundation model trained on millions of prokaryotic genomes. What about instances with much less data, like rare disease-associated cell types?

Some thoughts and links about deep learning with less genomic data:
https://t.co/ytZ7d2d53D

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

In pharma or biotech? Share your expertise by taking our survey.

We are compiling a 2024 Multi-Omic Fee-for-Service Industry Report to highlight key trends, challenges, and innovations in the world of multi-omic services.

https://t.co/QhRfYrt0Fn

[Living Earth Collaborative @LECBiodiversity]

📢Post-Doc Opportunity! The @GenomeInstitute
and the Living Earth Collaborative are partnering to advance genomics for biodiversity research!

🔗https://t.co/oOWO95Ctnl
🌍https://t.co/R3cN3BzHdH

#Genomics #Biodiversity #Conservation #Research #PostDoc #OneHealth

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Very cool paper showing the ability measure binding site occupancy on single chromatin fibers at targeted loci.

This is going to be an important tool for assessing the effects of non-coding SNPs in single cells:

[Stergachis Lab @stergachislab]

Deaminase-assisted Fiber-seq (DAF-seq) has arrived! DAF-seq is an amplification-compatible version of #Fiberseq that resolves genetic and chromatin architectures with single-nucleotide, single-molecule, single-haplotype, and single-cell precision. https://t.co/ArxOOOlqoj

[Kushal K Dey @kanishkadey]

Excited to share our latest preprint, as part of ENCODE4, on a consensus variant-to-function (cV2F) score for functionally prioritizing variants for complex disease - led by Tabassum Fabiha and co-mentored with Alkes Price.
https://t.co/yCIjgODnY9

[Marios Georgakis @MariosGeorgakis]

Amazing new GWAS resource for CSF and brain metabolite levels (@Metabolon)🧠🧬

👉2,602 CSF samples of 440 metabolites
👉1,016 brain samples of 962 metabolites

📜Paper: https://t.co/J5oJaLGJLc
📊Summ stats: https://t.co/9p2T0cU7Bp [accession numbers GCST90317902–GCST90319303]

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Biotech News: Wugen announces the company will initiate a Phase 2 trial for WU-CART-007 in the first quarter of 2025.

https://t.co/yEBH8zKzBX

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Six links to start your week. Machine learning, DNA design, chaperoneopathies, a genomic range extender, and a video tour of LLMs.

https://t.co/zLUeOuA4Ez

[McDonnell Genome Institute, WashU Medicine @GenomeInstitute]

Why is ongoing investment in technology development so crucial?

Bob Fulton, Director of Technology Development at MGI, explains how advancing genomic technologies has been key to answering critical research and clinical questions.

https://t.co/FoGZZ5QHAi