2018
Optimized Threshold Inference for Partitioning of Clones From High-Throughput B Cell Repertoire Sequencing Data
Nouri N, Kleinstein SH. Optimized Threshold Inference for Partitioning of Clones From High-Throughput B Cell Repertoire Sequencing Data. Frontiers In Immunology 2018, 9: 1687. PMID: 30093903, PMCID: PMC6070604, DOI: 10.3389/fimmu.2018.01687.Peer-Reviewed Original ResearchA spectral clustering-based method for identifying clones from high-throughput B cell repertoire sequencing data
Nouri N, Kleinstein SH. A spectral clustering-based method for identifying clones from high-throughput B cell repertoire sequencing data. Bioinformatics 2018, 34: i341-i349. PMID: 29949968, PMCID: PMC6022594, DOI: 10.1093/bioinformatics/bty235.Peer-Reviewed Original Research
2017
Hierarchical Clustering Can Identify B Cell Clones with High Confidence in Ig Repertoire Sequencing Data
Gupta NT, Adams KD, Briggs AW, Timberlake SC, Vigneault F, Kleinstein SH. Hierarchical Clustering Can Identify B Cell Clones with High Confidence in Ig Repertoire Sequencing Data. The Journal Of Immunology 2017, 198: 2489-2499. PMID: 28179494, PMCID: PMC5340603, DOI: 10.4049/jimmunol.1601850.Peer-Reviewed Original Research
2015
The transcription factors ZEB2 and T-bet cooperate to program cytotoxic T cell terminal differentiation in response to LCMV viral infection
Dominguez CX, Amezquita RA, Guan T, Marshall HD, Joshi NS, Kleinstein SH, Kaech SM. The transcription factors ZEB2 and T-bet cooperate to program cytotoxic T cell terminal differentiation in response to LCMV viral infection. Journal Of Experimental Medicine 2015, 212: 2041-2056. PMID: 26503446, PMCID: PMC4647261, DOI: 10.1084/jem.20150186.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCD8-Positive T-LymphocytesCell DifferentiationCluster AnalysisFlow CytometryHomeodomain ProteinsHost-Pathogen InteractionsLectins, C-TypeLymphocytic ChoriomeningitisLymphocytic choriomeningitis virusMice, Inbred C57BLMice, KnockoutMice, TransgenicOligonucleotide Array Sequence AnalysisProtein BindingReceptors, ImmunologicRepressor ProteinsReverse Transcriptase Polymerase Chain ReactionT-Box Domain ProteinsT-Lymphocytes, CytotoxicTranscriptomeZinc Finger E-box Binding Homeobox 2ConceptsTerminal differentiationT cell terminal differentiationChromatin immunoprecipitation sequencingNovel genetic pathwaysTranscription factor ZEB2Cell terminal differentiationZeb2 functionImmunoprecipitation sequencingMemory cell potentialDifferentiation programGenetic pathwaysCytotoxic T lymphocyte differentiationTerminal effectorZEB2 mRNAPrecursor cellsCoordinated actionLymphocyte differentiationT lymphocyte differentiationMemory precursor cellsGenesT-betDifferentiationViral infectionZEB2Cooperate
2012
The Blood Transcriptional Signature of Chronic Hepatitis C Virus Is Consistent with an Ongoing Interferon-Mediated Antiviral Response
Bolen CR, Robek MD, Brodsky L, Schulz V, Lim JK, Taylor MW, Kleinstein SH. The Blood Transcriptional Signature of Chronic Hepatitis C Virus Is Consistent with an Ongoing Interferon-Mediated Antiviral Response. Journal Of Interferon & Cytokine Research 2012, 33: 15-23. PMID: 23067362, PMCID: PMC3539252, DOI: 10.1089/jir.2012.0037.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsHCV patientsHealthy volunteersChronic hepatitis C virus (HCV) infectionChronic hepatitis C virusInfected individualsTreatment-naïve HCV patientsHepatitis C virus infectionBlood transcriptional profilesBlood transcriptional signaturesC virus infectionChronic HCV infectionOngoing immune responseBlood mononuclear cellsHepatitis C virusBlood transcriptional profilingDrug treatment responseHCV infectionSubset of IFNMononuclear cellsC virusIFN signatureHealthy controlsTreatment responseVirus infection