Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework-Reference-Cited by-同舟云学术

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Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework

Published:2024-01 Issue:1 Volume:15 Page:37-48.e4
ISSN:2405-4712
Container-title:Cell Systems
language:en
Short-container-title:Cell Systems

Author:

Cheemalavagu Neha,Shoger Karsen E.,Cao Yuqi M.,Michalides Brandon A.,Botta Samuel A.,Faeder James R.,Gottschalk Rachel A.

Funder

National Institute of General Medical Sciences

National Institute of Allergy and Infectious Diseases

Publisher

Elsevier BV

Reference54 articles.

1. Cytokine signaling: birth of a pathway;O'Shea;J. Immunol.,2011

2. STAT proteins: a kaleidoscope of canonical and non-canonical functions in immunity and cancer;Awasthi;J. Hematol. Oncol.,2021

3. The JAK/STAT signaling pathway: from bench to clinic;Hu;Signal Transduct. Target. Ther.,2021

4. Mechanisms encoding STAT functional diversity for context-specific inflammatory responses;Myers;Curr. Opin. Immunol.,2022

5. The JAK-STAT pathway at 30: much learned, much more to do;Philips;Cell,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Linking signal input, cell state, and spatial context to inflammatory responses;Current Opinion in Immunology;2024-12

2. Using in silico models to predict lymphocyte activation and development in a data rich era;ImmunoInformatics;2024-06

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