Jonathan Warrell
Visiting FellowCards
About
Research
Publications
2024
Spatially informed gene signatures for response to immunotherapy in melanoma.
Aung T, Warrell J, Martinez-Morilla S, Gavrielatou N, Vathiotis I, Yaghoobi V, Kluger H, Gerstein M, Rimm D. Spatially informed gene signatures for response to immunotherapy in melanoma. Clinical Cancer Research 2024, of1-of13. PMID: 38837895, DOI: 10.1158/1078-0432.ccr-23-3932.Peer-Reviewed Original ResearchGene signatureResistance to immunotherapyResponse to immunotherapyPrediction of treatment outcomeResistant to treatmentAccurate prediction of treatment outcomePredictive of responseImmunotherapy outcomesMelanoma patientsMelanoma specimensValidation cohortPatient stratificationDiscovery cohortTreatment outcomesImmunotherapyMelanomaTumorPatientsCohortS100BOutcomesGene expression dataGenesCD68+macrophagesExpression dataLatent evolutionary signatures: a general framework for analysing music and cultural evolution
Warrell J, Salichos L, Gancz M, Gerstein M. Latent evolutionary signatures: a general framework for analysing music and cultural evolution. Journal Of The Royal Society Interface 2024, 21: 20230647. PMID: 38503341, PMCID: PMC10950459, DOI: 10.1098/rsif.2023.0647.Peer-Reviewed Original ResearchConceptsDomain of musicModeling musical styleCultural processes of changeChord transitionsMusical corporaMusical piecesMusical stylesGenre predictionPrinciples of organizationSongMusicCultural processesCultural evolutionProcess of changeRepresentationGenreDeep generative architecturePiecesStyleHarmonyGenerator architectureEvolutionary spaceLatent embeddingsLatent spaceVariational autoencoder
2022
Insights from incorporating quantum computing into drug design workflows
Lau B, Emani P, Chapman J, Yao L, Lam T, Merrill P, Warrell J, Gerstein M, Lam H. Insights from incorporating quantum computing into drug design workflows. Bioinformatics 2022, 39: btac789. PMID: 36477833, PMCID: PMC9825754, DOI: 10.1093/bioinformatics/btac789.Peer-Reviewed Original ResearchConceptsQuantum machine learningComputer-aided drug designMachine-learning moduleQuantum computing methodsCommercial quantum computersMachine learningJupyter notebooksNeural networkComputing methodClassical baselinesDesign workflowQML modelsQuantum hardwarePython codeAcademic useSupplementary dataQuantum computerWorkflowJudicious partitioningModuleHardwareGitHubClassical counterpartCase studyComputer127 Spatial-specific gene signatures outperform bulk-mRNA signatures to define resistance to immunotherapy in melanoma patients
Aung T, Warrell J, Martinez-Morilla S, Gavrielatou N, Vathiotis L, Chan N, Kluger H, Rimm D. 127 Spatial-specific gene signatures outperform bulk-mRNA signatures to define resistance to immunotherapy in melanoma patients. 2022, a140-a140. DOI: 10.1136/jitc-2022-sitc2022.0127.Peer-Reviewed Original Research133 Spatially defined gene signatures uncover the association of extracellular matrix genes with immunotherapy resistance in head and neck squamous cell carcinoma
Gavrielatou N, Warrell J, Aung T, Vathiotis L, Economopoulou P, Burtness B, Psyrri A, Rimm D. 133 Spatially defined gene signatures uncover the association of extracellular matrix genes with immunotherapy resistance in head and neck squamous cell carcinoma. 2022, a146-a146. DOI: 10.1136/jitc-2022-sitc2022.0133.Peer-Reviewed Original Research
2021
Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH
Savulescu A, Brackin R, Bouilhol E, Dartigues B, Warrell J, Pimentel M, Beaume N, Fortunato I, Dallongeville S, Boulle M, Soueidan H, Agou F, Schmoranzer J, Olivo-Marin J, Franco C, Gomes E, Nikolski M, Mhlanga M. Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH. Cell Reports Methods 2021, 1: 100068. PMID: 35474672, PMCID: PMC9017151, DOI: 10.1016/j.crmeth.2021.100068.Peer-Reviewed Original ResearchConceptsSubcellular localizationSingle-molecule RNA fluorescenceSingle-cell RNA sequencingNumber of transcriptsSmFISH dataRNA fluorescenceRNA sequencingHybridization dataBiological insightsLocalization patternsSubcellular distributionPatterns of clusteringCellular architectureRNACellular subtypesSkeletal muscle fibersCell micropatterningProtein immunolabelingPhysiological systemsCellsLocalizationBasis of quantificationSpatial distributionTranscriptsSequencing
2020
Cyclic and multilevel causation in evolutionary processes
Warrell J, Gerstein M. Cyclic and multilevel causation in evolutionary processes. Biology & Philosophy 2020, 35: 50. DOI: 10.1007/s10539-020-09753-3.Peer-Reviewed Original ResearchEvolutionary processesComplex trait analysisModel of evolutionMultilevel selectionIndirect selectionTrait analysisEvolutionary variablesObserved traitsMultiple levelsMutation processCancer geneticsFitness modelFitnessMultilevel causal modelEnvironmental sourcesPrice equationObserved variationPotential relevanceGeneticsBiologyTraitsSelectionEvolution