Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
about
Evaluating the Stability of RNA-Seq Transcriptome Profiles and Drug-Induced Immune-Related Expression Changes in Whole BloodComparative RNA-Seq and microarray analysis of gene expression changes in B-cell lymphomas of Canis familiaris.TranscriptomeBrowser 3.0: introducing a new compendium of molecular interactions and a new visualization tool for the study of gene regulatory networks.Dynamic recruitment of Ets1 to both nucleosome-occupied and -depleted enhancer regions mediates a transcriptional program switch during early T-cell differentiation.Gene expression during the generation and activation of mouse neutrophils: implication of novel functional and regulatory pathways.CD161 defines a transcriptional and functional phenotype across distinct human T cell lineages.A neurodegeneration-specific gene-expression signature of acutely isolated microglia from an amyotrophic lateral sclerosis mouse modelOntology based molecular signatures for immune cell types via gene expression analysisVisualisation of the T cell differentiation programme by Canonical Correspondence Analysis of transcriptomes.Systems vaccinology: its promise and challenge for HIV vaccine development.Genome-wide siRNA screen for mediators of NF-κB activationTranscriptional profiling of stroma from inflamed and resting lymph nodes defines immunological hallmarks.Tristetraprolin impairs myc-induced lymphoma and abolishes the malignant stateA voltage-gated sodium channel is essential for the positive selection of CD4(+) T cellsMapping the effects of drugs on the immune system.The Proteomic Landscape of Human Ex Vivo Regulatory and Conventional T Cells Reveals Specific Metabolic Requirements.Poor Repair of Skeletal Muscle in Aging Mice Reflects a Defect in Local, Interleukin-33-Dependent Accumulation of Regulatory T Cells.Epigenetic changes mediated by polycomb repressive complex 2 and E2a are associated with drug resistance in a mouse model of lymphoma.Pathprinting: An integrative approach to understand the functional basis of disease.Integrated inference and analysis of regulatory networks from multi-level measurements.Immunological Genome Project and systems immunology.Applications of systems biology in cancer immunotherapy: from target discovery to biomarkers of clinical outcome.The function of Fcγ receptors in dendritic cells and macrophages.Transcriptional control of early T and B cell developmental choicesStaying innate: transcription factor maintenance of innate lymphoid cell identity.Predicting NK cell subsets using gene expression levels in peripheral blood and endometrial biopsy specimens.PU.1 Regulates Ig Light Chain Transcription and Rearrangement in Pre-B Cells during B Cell Development.Role of Metabolism in the Immunobiology of Regulatory T Cells.BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis.Comparing the biological impact of glatiramer acetate with the biological impact of a generic.Transcriptome analysis identifies regulators of hematopoietic stem and progenitor cellsPHF6 regulates phenotypic plasticity through chromatin organization within lineage-specific genes.Combined BET bromodomain and CDK2 inhibition in MYC-driven medulloblastoma.Testosterone is an endogenous regulator of BAFF and splenic B cell number.A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo
P2860
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P2860
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
@ast
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
@en
type
label
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
@ast
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
@en
prefLabel
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
@ast
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
@en
P2093
P2860
P356
P1476
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
@en
P2093
Christophe Benoist
Diane Mathis
Immunological Genome Project Consortium
Michio W Painter
Richard R Hardy
Scott Davis
P2860
P304
P356
10.4049/JIMMUNOL.1002695
P407
P577
2011-02-09T00:00:00Z