Boby Mathew
Associate Research ScientistCards
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Research
Publications
2026
Beta cell-derived cholecystokinin drives obesity-associated pancreatic adenocarcinoma development
Garcia CC, Venkat A, McQuaid DC, Agabiti SS, Tong A, Mathew B, Cardone RL, Starble R, Ruiz CF, Zheng C, Sogunro A, Jacox JB, Loh KH, Kibbey RG, Krishnaswamy S, Muzumdar MD. Beta cell-derived cholecystokinin drives obesity-associated pancreatic adenocarcinoma development. Nature Communications 2026 DOI: 10.1038/s41467-026-69821-2.Peer-Reviewed Original ResearchThis study investigates how beta cell-derived cholecystokinin drives obesity-associated pancreatic cancer development, showing that targeting endocrine signaling could prevent tumor progression in obesity-related contexts.Beta cell-derived cholecystokinin drives obesity-associated pancreatic adenocarcinoma development
Garcia C, Venkat A, McQuaid D, Agabiti S, Tong A, Mathew B, Cardone R, Starble R, Ruiz C, Zheng C, Sogunro A, Jacox J, Loh K, Kibbey R, Krishnaswamy S, Muzumdar M. Beta cell-derived cholecystokinin drives obesity-associated pancreatic adenocarcinoma development. Nature Communications 2026, 17: 3292. PMID: 41760660, PMCID: PMC13066563, DOI: 10.1038/s41467-026-69821-2.Peer-Reviewed Original ResearchThis study investigates how obesity-induced cholecystokinin (CCK) expression in pancreatic beta cells drives pancreatic cancer development by altering cellular signaling within the environment of arising tumors, suggesting potential therapeutic targets.
2022
RhoC in association with TET2/WDR5 regulates cancer stem cells by epigenetically modifying the expression of pluripotency genes
Thomas P, Srivastava S, Udayashankara A, Damodaran S, Yadav L, Mathew B, Suresh S, Mandal A, Srikantia N. RhoC in association with TET2/WDR5 regulates cancer stem cells by epigenetically modifying the expression of pluripotency genes. Cellular And Molecular Life Sciences 2022, 80: 1. PMID: 36469134, PMCID: PMC11073244, DOI: 10.1007/s00018-022-04645-z.Peer-Reviewed Original ResearchMeSH KeywordsCell Line, TumorCell MovementCell ProliferationDioxygenasesDNA-Binding ProteinsEpigenesis, GeneticEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansIntracellular Signaling Peptides and ProteinsNeoplastic Stem CellsrhoC GTP-Binding ProteinUterine Cervical NeoplasmsConceptsEpithelial to mesenchymal transitionEpigenetic regulationExpression of pluripotency genesCancer stem cellsInhibition of RhoCRNA-seq analysisPluripotency genesRegulation of NANOGInfinium MethylationEPIC arrayOver-expressing cellsAssociated signaling pathwaysRegulation of cancer stem cellsChIP-seqRNA-seqDemethylated genomeAnoikis resistanceRhoCMethylationEPIC arrayCervical cancer progressionCells to radiationSignaling pathwayOver-expressionCombinatorial inhibitionUp-regulatedGenomeDeciphering Spatial Protein–Protein Interactions in Brain Using Proximity Labeling
Mathew B, Bathla S, Williams KR, Nairn AC. Deciphering Spatial Protein–Protein Interactions in Brain Using Proximity Labeling. Molecular & Cellular Proteomics 2022, 21: 100422. PMID: 36198386, PMCID: PMC9650050, DOI: 10.1016/j.mcpro.2022.100422.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsProtein-protein interactionsProximity labelingBiological functionsComplex protein-protein interactionsProximity labeling methodProtein-DNA interactionsCell-cell communicationMost biological functionsDistinct cell typesProtein-RNANerve cell functionCell typesBiomolecular complexesCellular levelPhysical interactionProteomeCell functionSpecific subsetProteinSynaptic plasticityComplete catalogLabeling methodRecent advancesPowerful toolAxonal projectionsTranscriptome profiling of barley and tomato shoot and root meristems unravels physiological variations underlying photoperiodic sensitivity
Schneider M, Vedder L, Oyiga B, Mathew B, Schoof H, Léon J, Naz A. Transcriptome profiling of barley and tomato shoot and root meristems unravels physiological variations underlying photoperiodic sensitivity. PLOS ONE 2022, 17: e0265981. PMID: 36095002, PMCID: PMC9467324, DOI: 10.1371/journal.pone.0265981.Peer-Reviewed Original ResearchConceptsShoot meristemAverage sowing datePhotoperiod-sensitive speciesLeaf chlorophyll contentShort-day conditionsPhysiological developmentSowing datesDecreased photosynthetic activityPhotoperiod sensitivityShoot apical meristemSeedling stageTomato shootsChlorophyll contentPhotoperiod regimesBarleyTemperate climate zoneTomatoEmergence stageShort photoperiodApical meristemInsensitive speciesMeristemGlobal transcriptome profilingShootsPhotoperiodNeuralLasso: Neural Networks Meet Lasso in Genomic Prediction
Mathew B, Hauptmann A, Léon J, Sillanpää M. NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction. Frontiers In Plant Science 2022, 13: 800161. PMID: 35574107, PMCID: PMC9100816, DOI: 10.3389/fpls.2022.800161.Peer-Reviewed Original ResearchPrediction of complex traitsComplex traitsGenomic predictionGenome-wide marker informationMachine learningLocal epistasisPrediction accuracyElastic netGenomic BLUPMarker informationHeterogeneous stock miceEpistasis effectsPlant breeding programsNeural networkBreeding programsEpistasisGenetic factorsPlant breedingField data setData setsTraitsPlantsStock micePrediction methodBayesBPlasma Apolipoprotein-AIV Downregulated in Patients with Major Depressive Disorder having Suicidal Ideation Compared to those without Suicidal Ideation
Mathew B, Srinivasan K, Pradeep J, Thomas T, Mandal A. Plasma Apolipoprotein-AIV Downregulated in Patients with Major Depressive Disorder having Suicidal Ideation Compared to those without Suicidal Ideation. Current Proteomics 2022, 19: 226-231. DOI: 10.2174/1570164618666211104151005.Peer-Reviewed Original ResearchSuicidal ideationDepressive disorderDepressed patientsMajor depressive disorderPeripheral biological markersEffective early interventionApolipoprotein AIVSuicidal behaviorTargeted quantitative proteomics approachesIdeationGender-matched controlsSuicideEarly interventionQuantitative proteomics approachMatched ControlsMass spectrometry platformHigh riskPatientsBiological markersDisordersProteomic approachProteomic studiesDepressionIsotope-labeled peptidesAIV
2021
Genomic regions associated with physiological, biochemical and yield-related responses under water deficit in diploid potato at the tuber initiation stage revealed by GWAS
Díaz P, Sarmiento F, Mathew B, Ballvora A, Vásquez T. Genomic regions associated with physiological, biochemical and yield-related responses under water deficit in diploid potato at the tuber initiation stage revealed by GWAS. PLOS ONE 2021, 16: e0259690. PMID: 34748612, PMCID: PMC8575265, DOI: 10.1371/journal.pone.0259690.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesDrought stress indexTuber initiation stageMarker-assisted selectionWater deficitWater deficit responsesDiploid potatoesGenetic architectureGenotypes to water deficitResponse to water deficitTolerant potato cultivarsWater deficit conditionsWater deficit treatmentsWell-watered conditionsGene annotation analysisPotato cultivarsTolerance breedingPotato accessionsFresh weighDeficit treatmentsDeficit conditionsPhenotypic varianceWell-wateredAgricultural sustainabilityGenomic regionsImportance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
Mathew B, Léon J, Dadshani S, Pillen K, Sillanpää M, Naz A. Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population. G3: Genes, Genomes, Genetics 2021, 11: jkab105. PMID: 33822941, PMCID: PMC8495747, DOI: 10.1093/g3journal/jkab105.Peer-Reviewed Original ResearchConceptsAdvanced backcrossesAllele frequenciesQuantitative trait locus mappingInterval mappingMapping of traitsQTL mapping modelAB populationGenomic relationshipsAdvanced backcross populationLocus mappingExperimental crossesPolygenic effectsMendelian segregationControlled crossesBackcross populationsMolecular markersAllelesCrossing schemeLinear mixed modelsBackcrossBarleyPopulationWheatCropTomatoDetection of breeding signatures in wheat using a linkage disequilibrium-corrected mapping approach
Dadshani S, Mathew B, Ballvora A, Mason A, Léon J. Detection of breeding signatures in wheat using a linkage disequilibrium-corrected mapping approach. Scientific Reports 2021, 11: 5527. PMID: 33750919, PMCID: PMC7970893, DOI: 10.1038/s41598-021-85226-1.Peer-Reviewed Original ResearchLinkage disequilibriumDiverse panelPhysical position of markersAllele frequency changesYears of breeding historyMarker-assisted breedingBiotic stress factorsOutlier lociGenome assemblySelective sweepsTranslocation regionReference assemblyAdjacent markersChromosome 2ASGenetic diversityPhysical positionK arrayLow LDAssisted breedingBreeding historyBreeding signaturesBread wheatGenetic studiesAegilops ventricosaAgronomic traits
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