An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation

BMC Genomics

Volumn 13, Issue 1, 2012, Pages

  Äijö, Tarmo ^a   Edelman, Sanna M ^b   Lönnberg, Tapio ^b   Larjo, Antti ^a,d   Kallionpää, Henna ^b,c   Tuomela, Soile ^b,c   Engström, Emilia ^b   Lahesmaa, Riitta ^b   Lähdesmäki, Harri ^b,d  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b UNIVERSITY OF TURKU   (Finland)

^c Turku Doctoral Programme of Biomedical Sciences   (Finland)

^d AALTO UNIVERSITY   (Finland)

Author keywords

Lineage commitment; Non parametric analysis; Th cell differentiation; Time course transcriptomics; Transcription factor binding

Indexed keywords

TRANSCRIPTOME;

ARTICLE; BINDING SITE; CELL LINEAGE; CELL SPECIFICITY; GENE IDENTIFICATION; HUMAN; HUMAN CELL; HUMAN CELL CULTURE; INFORMATION SYSTEM; KERNEL METHOD; LINEAGE COMMITMENT USING GAUSSIAN PROCESS; LYMPHOCYTE DIFFERENTIATION; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; NEWBORN; NORMAL HUMAN; REGULATOR GENE; SYSTEMS BIOLOGY; T LYMPHOCYTE SUBPOPULATION; TH1 CELL; TH2 CELL; TRANSCRIPTION REGULATION; UMBILICAL CORD BLOOD;

ADAPTIVE IMMUNITY; BINDING SITES; CELL DIFFERENTIATION; CELL LINEAGE; FETAL BLOOD; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMANS; INTERLEUKIN-12; INTERLEUKIN-2; LYMPHOCYTE ACTIVATION; PRIMARY CELL CULTURE; PROTEIN BINDING; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY; TH1 CELLS; TH2 CELLS; TRANSCRIPTION FACTORS; TRANSCRIPTOME;

EID: 84867901679     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-13-572     Document Type: Article

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