The who's who of T‐cell differentiation: Human memory T‐cell subsets
By Yolanda D. Mahnke, T. Brodie, F. Sallusto, Mario Roederer, E. Lugli. European Journal of Immunology, 2013
797 citations recorded by the source corpus.
Subfields: Immunology, Oncology
View Paper: https://www.semanticscholar.org/paper/870384e752f60abc263f56f2504e82bc3b5b2a79
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Citations in the corpus
- Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding (2018, methodology): “Therefore, we selected highly puri-fi ed CD8 + naive T (T N ) cells on the basis of a combination of six markers that are known to be associated with naivety (i.e., CD45RA + CCR7 + CD27 + CD95 − Tbet − CD73 + ; Figure 1c) (16,17) and plotted them on top of the tSNE map.”
- Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data (2022, background): “It is known that both naïve and memory T cells express CCR7 and SELL genes, which are required for lymph node migration, whereas these genes are not expressed in effector T cells 36,37 .”
- Single-Cell Analysis of Crohn’s Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy (2019, background): “In agreement with the naive and/or CM state of T cells in these clusters, high expression of IL-7 receptor IL7R (CD127) was also detected (Mahnke et al., 2013).”