Arc Institute

A full-stack institute for AI and biology research.

[Arc Institute @arcinstitute]

While 'waste' is shorthand, thousands of proteins the brain sheds aren't inert junk; many likely signal to the immune system. Systematic study of brain clearance opens paths to rejuvenate it as an upstream target for neurodegeneration.

Access the paper: https://t.co/78m7xnxzB7

[Arc Institute @arcinstitute]

The brain works hard to clear waste, and impairments are central to neurodegeneration. In @CellCellPress, Innovation Investigator @andcyang, w/ @NaliniRRao, Yuichi Chayama, and team map it from the inside out, following the brain's own proteins to see where waste actually goes.

[Arc Institute @arcinstitute]

Disease disrupted clearance in two ways:

LPS-driven inflammation broke down the blood-brain barrier, shunting Syn-ZsG away from borders and into the blood.

In 5XFAD mice, amyloid pathology had the opposite effect, trapping proteins in the brain, with less reaching the brain borders as amyloid levels rose.

[Arc Institute @arcinstitute]

Listen to a preview of PerturbSpace from first author @alexnevue:
https://t.co/C80g5gkhL1

Or go behind the scenes of the paper in this blog post: https://t.co/KGb8qZQrzl

[Arc Institute @arcinstitute]

Most spatial CRISPR screens require trade-offs in throughput or readout depth. A new preprint from @alexnevue, @Inna_Averbukh, @Davidlarastiaso & team introduces PerturbSpace: spatially resolved, multimodal, whole-transcriptome on standard single-cell workflows.

[Arc Institute @arcinstitute]

PerturbSpace turns non-cell-autonomous effects from a niche capability into a systematic readout, producing the tissue-scale perturbation data needed to inform virtual cell models.

Explore the full paper here: https://t.co/ASnip0enSC

[Arc Institute @arcinstitute]

Interested in being a future fellow? 2027 applications open in January. Follow Arc for updates or learn more about the program: https://t.co/XFab7mxzjF

[Arc Institute @arcinstitute]

Introducing the inaugural cohort of the Arc AIxBio Fellows. These five student teams will each tackle an ambitious ML project over the next 6-12 months with a dedicated mentor.

[Arc Institute @arcinstitute]

See the full announcement from program organizer @genophoria: https://t.co/Gi292TpzDb