A systems biology perspective on the Arc Institute State paper in Cell, examining whether large scale perturbation models capture authentic cell fate bifurcations.
A systems biology perspective on the Arc Institute State paper in Cell, examining whether large scale perturbation models capture authentic cell fate bifurcations.
#virtual cell#cell fate decisions#epigenetic competence#perturbation response#Arc Institute#State#systems biology
Commentary on context dependent therapeutic mechanisms and testing intervention predictions beyond training contexts.
Commentary on context dependent therapeutic mechanisms and testing intervention predictions beyond training contexts.
#systems biology#intervention response#biological context#drug discovery#Daphne Koller
Tahoe-100M's 95.6 million cells cover 379 unique compounds; scale narratives that blur arms with molecules overstate what any model can learn.
Tahoe-100M's 95.6 million cells cover 379 unique compounds; scale narratives that blur arms with molecules overstate what any model can learn.
#Tahoe-100M#perturbation atlas#chemical coverage#extrapolation#data strategy
AI discovered molecules clear Phase I at 80 to 90% against a 40 to 65% historical rate, but Phase II shows no improvement, around 40% versus 37%; AI is strong at molecule properties and has not yet shown it picks the right biology.
AI discovered molecules clear Phase I at 80 to 90% against a 40 to 65% historical rate, but Phase II shows no improvement, around 40% versus 37%; AI is strong at molecule properties and has not yet shown it picks the right biology.
#AI drug discovery#Phase I Phase II success rates#clinical translation#value allocation
How spatial transcriptomics captures the selective collapse of proximal tubule S3 segments and the emergence of injured states 4 hours post-ischemia.
How spatial transcriptomics captures the selective collapse of proximal tubule S3 segments and the emergence of injured states 4 hours post-ischemia.
#ischemia reperfusion#AKI#spatial transcriptomics#Xenium#proximal tubule#cell fate#kidney
Evaluating the trade-offs between 2 million single cells and whole-transcriptome spot deconvolution across 128 kidney spatial samples.
Evaluating the trade-offs between 2 million single cells and whole-transcriptome spot deconvolution across 128 kidney spatial samples.
#single-cell#spatial transcriptomics#deconvolution#RCTD#Tangram#Visium#Xenium#kidney
A systematic re-analysis of 128 publicly available kidney spatial-transcriptomics datasets across five technologies, harmonized and open-sourced via SpatialRenal.
A systematic re-analysis of 128 publicly available kidney spatial-transcriptomics datasets across five technologies, harmonized and open-sourced via SpatialRenal.
#spatial transcriptomics#kidney#Xenium#CosMx#Visium#GeoMx#SpatialRenal#benchmark
Why the low background of CUT&Tag causes ChIP-seq peak callers to misidentify Tn5 accessibility hotspots as genuine transcription factor binding sites.
Why the low background of CUT&Tag causes ChIP-seq peak callers to misidentify Tn5 accessibility hotspots as genuine transcription factor binding sites.
#CUT&Tag#ChIP-seq#SEACR#MACS2#peak calling#pA-Tn5#chromatin
Grillo et al. (Nature Genetics 2026): CRISPRi repression of LTR12C transposable elements forces leukemic stem cells to differentiate — a targetable chromatin state that encodes a cell-fate decision.
Grillo et al. (Nature Genetics 2026): CRISPRi repression of LTR12C transposable elements forces leukemic stem cells to differentiate — a targetable chromatin state that encodes a cell-fate decision.
#transposable elements#leukemia#stemness#ATAC-seq#CRISPRi#vulnerability#cell state#AML
Ahlmann-Eltze et al. found seven deep learning models fail to beat a simple additive baseline at perturbation prediction; the discipline this creates is worth more than any model.
Ahlmann-Eltze et al. found seven deep learning models fail to beat a simple additive baseline at perturbation prediction; the discipline this creates is worth more than any model.
#perturbation prediction#foundation models#additive baseline#benchmark#risk reduction