A predictive model of the distribution of T-cell phenotype variations-Reference-Cited by-同舟云学术

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A predictive model of the distribution of T-cell phenotype variations

Published:2024-07-17 Issue: Volume: Page:000015-000020
ISSN:
Container-title:2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES)
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Author:

D’Orsi Laura¹,Presti Elena Lo²,Giacopelli Giuseppe²,De Gaetano Andrea³

Affiliation:

1. CNR Consiglio Nazionale Delle Ricerche,IASI Istituto di Analisi dei Sistemi e Informatica "A. Ruberti",Rome,Italy

2. CNR Consiglio Nazionale Delle Ricerche,IRIB Istituto per la Ricerca e l’Innovazione Biomedica,Palermo,Italy

3. CNR-IRIB and CNR-IASI - Consiglio Nazionale Delle Ricerche,Palermo & Rome,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629055/10629080/10629116.pdf?arnumber=10629116

Reference7 articles.

1. Use of Mass Cytometry to Profile Human T Cell Exhaustion

2. Evidence that human CD8+CD45RA+CD27– cells are induced by antigen and evolve through extensive rounds of division

3. From “truly naïve” to “exhausted senescent” T cells: When markers predict functionality

4. Effector memory T cell subset CD45RA ⁻ CCR7 ⁻ CD27 ⁻ CD28 ⁻ EM ₃ increases in direct proportion to the disease severity of COVID ‐19

5. Differentiation of Effector/Memory Vδ2 T Cells and Migratory Routes in Lymph Nodes or Inflammatory Sites

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