2024
Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression
Hodgson L, Li Y, Iturria-Medina Y, Stratton J, Wolf G, Krishnaswamy S, Bennett D, Bzdok D. Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression. Communications Biology 2024, 7: 591. PMID: 38760483, PMCID: PMC11101463, DOI: 10.1038/s42003-024-06273-8.Peer-Reviewed Original ResearchConceptsGene programAlzheimer's diseaseLate-onset Alzheimer's diseaseAD risk lociCell type-specificSingle-nucleus RNA sequencingRisk lociAD brainAlzheimer's disease progressionSnRNA-seqRNA sequencingAD pathophysiologySignaling cascadesTranscriptome modulationProgressive neurodegenerative diseaseCell-typeGWASNeurodegenerative diseasesNeuronal lossGlial cellsTranscriptomeLociGenesPseudo-trajectoriesDisease progression
2022
Multiscale PHATE identifies multimodal signatures of COVID-19
Kuchroo M, Huang J, Wong P, Grenier JC, Shung D, Tong A, Lucas C, Klein J, Burkhardt DB, Gigante S, Godavarthi A, Rieck B, Israelow B, Simonov M, Mao T, Oh JE, Silva J, Takahashi T, Odio CD, Casanovas-Massana A, Fournier J, Farhadian S, Dela Cruz C, Ko A, Hirn M, Wilson F, Hussin J, Wolf G, Iwasaki A, Krishnaswamy S. Multiscale PHATE identifies multimodal signatures of COVID-19. Nature Biotechnology 2022, 40: 681-691. PMID: 35228707, PMCID: PMC10015653, DOI: 10.1038/s41587-021-01186-x.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencingTransposase-accessible chromatinSingle-cell sequencingRNA sequencingBiological insightsPopulation groupingsSophisticated computational toolsBiological featuresSequencingFlow cytometryComputational toolsChromatinBiomedical communityDifferent data typesCell responsesCellsPhate