ArticleScience advances2023
Cell state transition analysis identifies interventions that improve control of
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- IFN𝛾 and IFN𝛾 mimetics prevent IFN-I-mediated TB susceptibility by regulating iron metabolism and lipid peroxidation.bioRxiv : the preprint server for biology · 2026Article
- Elimination of senescent cells with senolytic drugs as adjunctive host-directed therapy reduces tuberculosis progression in mice.Nature communications · 2026Article
- Lung epithelial injury impairs early host immune responses to Mycobacterium tuberculosis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025Article
- Blocking NRF2 Translation by Inhibition of Cap-Dependent Initiation Sensitizes Lymphoma Cells to Ferroptosis and CAR T-cell Immunotherapy.Cancer research · 2025Article
- cSTAR analysis identifies endothelial cell cycle as a key regulator of flow-dependent artery remodeling.Science advances · 2025Article
- Comparative transcriptomic analysis of mouse macrophages infected with live attenuated vaccine strains ofFrontiers in immunology · 2025Article
- Dysregulation of the JNK signaling pathway in tuberculosis: mechanisms and therapeutic strategies.Frontiers in cellular and infection microbiology · 2025Review
- Cell State Transition Models Stratify Breast Cancer Cell Phenotypes and Reveal New Therapeutic Targets.Cancers · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Understanding cell state transitions and purposefully controlling them to improve therapies is a longstanding challenge in biological research and medicine. Here, we identify a transcriptional signature that distinguishes activated macrophages from the tuberculosis (TB) susceptible and resistant mice. We then apply the cSTAR (cell state transition assessment and regulation) approach to data from screening-by-RNA sequencing to identify chemical perturbations that shift the transcriptional state of tumor necrosis factor (TNF)-activated TB-susceptible macrophages toward that of TB-resistant cells, i.e., prevents their aberrant activation without suppressing beneficial TNF responses. Last, we demonstrate that the compounds identified with this approach enhance the resistance of the TB-susceptible mouse macrophages to virulent
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.