2018
AIRR Community Standardized Representations for Annotated Immune Repertoires
Vander Heiden J, Marquez S, Marthandan N, Bukhari SAC, Busse CE, Corrie B, Hershberg U, Kleinstein SH, Matsen F, Ralph DK, Rosenfeld AM, Schramm CA, Community T, Christley S, Laserson U. AIRR Community Standardized Representations for Annotated Immune Repertoires. Frontiers In Immunology 2018, 9: 2206. PMID: 30323809, PMCID: PMC6173121, DOI: 10.3389/fimmu.2018.02206.Peer-Reviewed Original Research
2017
Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data
Rubelt F, Busse CE, Bukhari SAC, Bürckert JP, Mariotti-Ferrandiz E, Cowell LG, Watson CT, Marthandan N, Faison WJ, Hershberg U, Laserson U, Corrie BD, Davis MM, Peters B, Lefranc MP, Scott JK, Breden F, Luning Prak E, Kleinstein S. Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data. Nature Immunology 2017, 18: 1274-1278. PMID: 29144493, PMCID: PMC5790180, DOI: 10.1038/ni.3873.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsDatasets as TopicHumansInformation DisseminationReceptors, ImmunologicResearch Design
2016
VDJML: a file format with tools for capturing the results of inferring immune receptor rearrangements
Toby IT, Levin MK, Salinas EA, Christley S, Bhattacharya S, Breden F, Buntzman A, Corrie B, Fonner J, Gupta NT, Hershberg U, Marthandan N, Rosenfeld A, Rounds W, Rubelt F, Scarborough W, Scott JK, Uduman M, Vander Heiden JA, Scheuermann RH, Monson N, Kleinstein SH, Cowell LG. VDJML: a file format with tools for capturing the results of inferring immune receptor rearrangements. BMC Bioinformatics 2016, 17: 333. PMID: 27766961, PMCID: PMC5073965, DOI: 10.1186/s12859-016-1214-3.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
2014
pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires
Vander Heiden JA, Yaari G, Uduman M, Stern JN, O'Connor KC, Hafler DA, Vigneault F, Kleinstein SH. pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. Bioinformatics 2014, 30: 1930-1932. PMID: 24618469, PMCID: PMC4071206, DOI: 10.1093/bioinformatics/btu138.Peer-Reviewed Original Research