Barani Kumar Rajendran
Associate Research Scientist in PathologyDownloadHi-Res Photo
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Pathology
Primary
Contact Info
Yale School of Medicine
BML, Room 113
New Haven, CT 06510
United States
About
Research
Overview
Bioinformatics; Next Generation Sequencing (NGS), Single-cell Research; Precision medicine; Cancer Immunology, Computational Biology; Genomics; Computational Structural Biology, Spatial Transcriptomics.
ORCID
0000-0001-9675-7718- View Lab Website
Schalper Lab
Research at a Glance
Yale Co-Authors
Frequent collaborators of Barani Kumar Rajendran's published research.
Publications Timeline
A big-picture view of Barani Kumar Rajendran's research output by year.
Dianqing (Dan) Wu, PhD
Hongyue Zhou
Wenwen Tang, PhD
Yansheng Liu, PhD
David Calderwood, PhD
Francine Foss, MD
25Publications
470Citations
Publications
2024
Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review)
Hao W, Rajendran B, Cui T, Sun J, Zhao Y, Palaniyandi T, Selvam M. Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review). International Journal Of Molecular Medicine 2024, 55: 6. PMID: 39450552, PMCID: PMC11537269, DOI: 10.3892/ijmm.2024.5447.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsDisease-free survivalBreast cancerPrecision medicine approachAvailability of high-throughput sequencingPrecision oncologyTherapeutic optionsDriver mutationsDisease-free survival of patientsCancer driver gene identificationDriver gene identificationMedicine approachHigh-throughput sequencingSurvival of patientsTargeted therapeutic optionsFraction of patientsCancer driver mutationsTargeted therapeutic approachesBreast cancer treatmentIdentification of driver mutationsBreast cancer mutationsModern era of medicineCancer-specific biomarkersGene identificationCancer DatabaseCancer mutationsWnt5 controls splenic myelopoiesis and neutrophil functional ambivalency during DSS-induced colitis
Luan Y, Hu J, Wang Q, Wang X, Li W, Qu R, Yang C, Rajendran B, Zhou H, Liu P, Zhang N, Shi Y, Liu Y, Tang W, Lu J, Wu D. Wnt5 controls splenic myelopoiesis and neutrophil functional ambivalency during DSS-induced colitis. Cell Reports 2024, 43: 113934. PMID: 38461416, PMCID: PMC11064424, DOI: 10.1016/j.celrep.2024.113934.Peer-Reviewed Original ResearchCitationsAltmetricConceptsCD8<sup>+</sup> T cell activationNeutrophil productionNeutrophil plasticitySplenic extramedullary myelopoiesisFamily member 5T cell activationInnate immune cellsSplenic stromal cellsDSS-induced colitisAnti-inflammatory protectionCD101 expressionPro-inflammatory activitySplenic myelopoiesisExtramedullary myelopoiesisBone marrowImmune cellsSplenic neutrophilsMember 5Autoimmune diseasesInflammatory outcomesCell activationStromal cellsColitisSplenic productionElevated numbersThe CUL5 E3 ligase complex negatively regulates central signaling pathways in CD8+ T cells
Liao X, Li W, Zhou H, Rajendran B, Li A, Ren J, Luan Y, Calderwood D, Turk B, Tang W, Liu Y, Wu D. The CUL5 E3 ligase complex negatively regulates central signaling pathways in CD8+ T cells. Nature Communications 2024, 15: 603. PMID: 38242867, PMCID: PMC10798966, DOI: 10.1038/s41467-024-44885-0.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCD8+ T cellsT cellsCancer immunotherapyMouse CD8+ T cellsAnti-tumor immunityTumor growth inhibition abilityAnti-tumor effectsInhibition of neddylationCD8Effector functionsTCR stimulationIL2 signalingCentral signaling pathwaysCore signaling pathwaysEffector activityNegative regulatory mechanismsTranslational implicationsImmunotherapyGrowth inhibition abilityCytokine signalingTCRProteomic alterationsSignaling pathwayCancerCRISPR-based screens
2023
606 IMpower110: Tertiary lymphoid structures (TLS) and clinical outcomes in advanced non-small cell lung cancer (NSCLC) treated with first-line atezolizumab or chemotherapy
Srivastava M, Gayevskiy V, Ma V, Estay I, Rodas M, Rajendran B, Hoang T, Ballinger M, Amin R, Herbst R, Marinis F, Giaccone G, Jassem J, Spigel D, Schalper K, Koeppen H, Shames D, Johnston R, Giltnane J, Nabet B. 606 IMpower110: Tertiary lymphoid structures (TLS) and clinical outcomes in advanced non-small cell lung cancer (NSCLC) treated with first-line atezolizumab or chemotherapy. 2023, a690-a690. DOI: 10.1136/jitc-2023-sitc2023.0606.Peer-Reviewed Original ResearchBiomarkers and biosensors for early cancer diagnosis, monitoring and prognosis
Wahab M, Palaniyandi T, Ravi M, viswanathan S, Baskar G, Surendran H, Gangadharan S, Rajendran B. Biomarkers and biosensors for early cancer diagnosis, monitoring and prognosis. Pathology - Research And Practice 2023, 250: 154812. PMID: 37741139, DOI: 10.1016/j.prp.2023.154812.Peer-Reviewed Original ResearchCitationsConceptsEarly cancer diagnosisBiosensorEarly cancer detectionCancer biomarkersChip modelSuch biomarkersEngineering technologyBiological samplesCancer typesRecent advancementsEarly detectionNucleic acidsEarly diagnostic markerCancer detectionDevelopment of technologyGlobal socioeconomic impactTumor cell DNAProstate cancerMajor challengeBiomedical engineering technologyTherapeutic outcomesDetectionDiagnostic markerTechnologyParticular cancer typesPharmacological effect of gold nanoparticles from red algae Halymenia venusta on A549 cell line
Baskar G, Palaniyandi T, Viswanathan S, Wahab M, Surendran H, Ravi M, Rajendran B, Govindasamy G, Sivaji A, Kaliamoorthy S. Pharmacological effect of gold nanoparticles from red algae Halymenia venusta on A549 cell line. Inorganic Chemistry Communications 2023, 155: 111005. DOI: 10.1016/j.inoche.2023.111005.Peer-Reviewed Original ResearchCitationsConceptsUltra-violet spectroscopyGold nanoparticlesSurface plasmon resonanceFourier transform infra-red spectroscopy (FTIR) analysesX-ray diffraction spectroscopyStable gold nanoparticlesInfra-red spectroscopy analysisGreen synthesisDiffraction spectroscopyFree radical scavenging capabilityRadical scavenging capabilitySpectroscopy analysisAnalytical techniquesCrystalline structurePlasmon resonanceNanoparticlesA549 cell lineReactive oxygen species assaysPromising anti-cancer potentialAntiproliferative activityElectron microscopyAntimicrobial activitySpectroscopyScavenging capabilityAnti-cancer potentialRole of homeobox d10 gene targeted signaling pathways in cancers
Surendran H, Palaniyandi T, Natarajan S, Hari R, Viwanathan S, Baskar G, Abdul Wahab M, Ravi M, Rajendran B. Role of homeobox d10 gene targeted signaling pathways in cancers. Pathology - Research And Practice 2023, 248: 154643. PMID: 37406379, DOI: 10.1016/j.prp.2023.154643.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsTranscription factorsHomeobox gene familyHomeotic transcription factorsGene expression changesTumor suppressor geneD10 geneGene familyHomeobox genesCancer signalingOrgan developmentTissue homeostasisGene expressionExpression changesSignaling pathwaysCell differentiationSuppressor geneFunctional interactionGenesHOXD10 geneCancer treatment targetHOXD10Pathway dysregulationTherapeutic resistancePathwayMolecule actionRecent and advanced therapy for oral cancer
Baskar G, Palaniyandi T, Viswanathan S, Wahab M, Surendran H, Ravi M, Sivaji A, Rajendran B, Natarajan S, Govindasamy G. Recent and advanced therapy for oral cancer. Biotechnology And Bioengineering 2023, 120: 3105-3115. PMID: 37243814, DOI: 10.1002/bit.28452.Peer-Reviewed Original ResearchCitationsInsights of Endocytosis Signaling in Health and Disease
Pathak C, Vaidya F, Waghela B, Jaiswara P, Gupta V, Kumar A, Rajendran B, Ranjan K. Insights of Endocytosis Signaling in Health and Disease. International Journal Of Molecular Sciences 2023, 24: 2971. PMID: 36769293, PMCID: PMC9918140, DOI: 10.3390/ijms24032971.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsEndocytic machineryPlasma membraneCellular defenseFundamental cellular machinerySignal transduction modulesDifferent cellular compartmentsVital physiological processesProcess of endocytosisEndocytic proteinsIndependent endocytosisEndocytosis machineryTransduction modulesEukaryotic cellsCaveolar pathwayCellular machineryMammalian cellsEndocytic pathwayCell divisionCellular compartmentsComplex proteinsFunctional characterizationPhysiological processesMachinery resultsHuman diseasesEndocytosisIntegrated transcriptome and trajectory analysis of cutaneous T-cell lymphoma identifies putative precancer populations
Ren J, Qu R, Rahman N, Lewis J, King A, Liao X, Mirza F, Carlson K, Huang Y, Gigante S, Evans B, Rajendran B, Xu S, Wang G, Foss F, Damsky W, Kluger Y, Krishnaswamy S, Girardi M. Integrated transcriptome and trajectory analysis of cutaneous T-cell lymphoma identifies putative precancer populations. Blood Advances 2023, 7: 445-457. PMID: 35947128, PMCID: PMC9979716, DOI: 10.1182/bloodadvances.2022008168.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCutaneous T-cell lymphomaMalignant CTCL cellsDiverse transcriptomic profilesT cellsSingle-cell RNACTCL cellsDevelopment of CTCLIntegrated transcriptomeT-cell receptor sequencingT cell exhaustion phenotypeCommon antigenic stimulusPeripheral blood CD4Transcriptomic profilesGene expressionT-cell lymphomaIntegrative analysisPotential therapeutic targetProliferation advantageLimited diversityBlood CD4Blood involvementMutation levelsExhaustion phenotypeWorse prognosisAntigenic stimulus
Academic Achievements & Community Involvement
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Yale School of Medicine
BML, Room 113
New Haven, CT 06510
United States