ArticlePLoS biology2018
Quantitative proteomic characterization and comparison of T helper 17 and induced regulatory T cells.
Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- USP28 protects development of inflammation in mouse intestine by regulating STAT5 phosphorylation and IL22 production in T lymphocytes.Frontiers in immunology · 2024Article
- Cathepsin W restrains peripheral regulatory T cells for mucosal immune quiescence.Science advances · 2023Article
- Differential Protein Expression ofPathogens (Basel, Switzerland) · 2023Article
- Roles of vimentin in health and disease.Genes & development · 2022Review
- Emerging insights and challenges for understanding T cell function through the proteome.Frontiers in immunology · 2022Review
- Wu-Teng-Gao External Treatment Improves Th17/Treg Balance in Rheumatoid Arthritis.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Severe types of fetopathy are associated with changes in the serological proteome of diabetic mothers.Medicine · 2021Observational
- Interactome Networks of FOSL1 and FOSL2 in Human Th17 Cells.ACS omega · 2021Article
- The Proteomic Landscape of Resting and Activated CD4+ T Cells Reveal Insights into Cell Differentiation and Function.International journal of molecular sciences · 2020Article
- A comparison of curated gene sets versus transcriptomics-derived gene signatures for detecting pathway activation in immune cells.BMC bioinformatics · 2020Article
- Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization.iScience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The transcriptional network and protein regulators that govern T helper 17 (Th17) cell differentiation have been studied extensively using advanced genomic approaches. For a better understanding of these biological processes, we have moved a step forward, from gene- to protein-level characterization of Th17 cells. Mass spectrometry-based label-free quantitative (LFQ) proteomics analysis were made of in vitro differentiated murine Th17 and induced regulatory T (iTreg) cells. More than 4,000 proteins, covering almost all subcellular compartments, were detected. Quantitative comparison of the protein expression profiles resulted in the identification of proteins specifically expressed in the Th17 and iTreg cells. Importantly, our combined analysis of proteome and gene expression data revealed protein expression changes that were not associated with changes at the transcriptional level. Our dataset provides a valuable resource, with new insights into the proteomic characteristics of Th17 and iTreg cells, which may prove useful in developing treatment of autoimmune diseases and developing tumor immunotherapy.
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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.