Evidence map›Paper›PMID 27461979›Full record

ArticleJournal of proteomics2016

Integrative proteomic analysis reveals reprograming tumor necrosis factor signaling in epithelial mesenchymal transition.

Yingxin Zhao, Bing Tian, Rovshan G Sadygov, Yueqing Zhang, Allan R Brasier

Abstract read
In one paragraph

Article in Journal of proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Life science alliance · 2024
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  6. Blocking Toll-like receptor 9 attenuates bleomycin-induced pulmonary injury.Journal of pathology and translational medicine · 2022
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  7. CD73 and PD-L1 as Potential Therapeutic Targets in Gallbladder Cancer.International journal of molecular sciences · 2022
    Article
  8. Review
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  13. Article
  14. Article
  15. Observational
  16. Review
  17. Article
  18. Article
  19. Combination ofChinese medicine · 2018
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Yingxin ZhaoDepartment of Internal Medicine, University of Texas Medical Branch (UTMB), Galveston, TX, United States; Institute for Translational Sciences, UTMB, Galveston, TX, United States; Sealy Center for Molecular Medicine, UTMB, Galveston, TX, United States. Electronic address: yizhao@utmb.edu.
Bing TianDepartment of Internal Medicine, University of Texas Medical Branch (UTMB), Galveston, TX, United States; Institute for Translational Sciences, UTMB, Galveston, TX, United States; Sealy Center for Molecular Medicine, UTMB, Galveston, TX, United States.
Rovshan G SadygovSealy Center for Molecular Medicine, UTMB, Galveston, TX, United States; Department of Biochemistry & Molecular Biology, UTMB, Galveston, TX, United States.
Yueqing ZhangDepartment of Internal Medicine, University of Texas Medical Branch (UTMB), Galveston, TX, United States.
Allan R BrasierDepartment of Internal Medicine, University of Texas Medical Branch (UTMB), Galveston, TX, United States; Institute for Translational Sciences, UTMB, Galveston, TX, United States; Sealy Center for Molecular Medicine, UTMB, Galveston, TX, United States. Electronic address: arbrasie@utmb.edu.
The University of Texas Medical Branch at Galveston · USJohn Sealy Hospital · US

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
Virus, Tissue Culture and ImmunoassayP01AI062885 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI CASOLA, ANTONELLA · 2005 to 2022
$23.9M
Synthetic Organic Chemistry CoreP30ES006676 · NIEHS · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI ELFERINK, CORNELIS JOHAN · 1995 to 2017
$21.7M
Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MSR01GM112044 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI SADYGOV, ROVSHAN G · 2015 to 2023
$2.7M
NCATS NIH HHS UL1 TR001439NIAID NIH HHS P01 AI062885NIEHS NIH HHS P30 ES006676NIGMS NIH HHS R01 GM112044
6 · The paper itself

Abstract

unlabelledThe airway epithelium is a semi-impermeable barrier whose disruption by growth factor reprogramming is associated with chronic airway diseases of humans. Transforming growth factor beta (TGFβ)-induced epithelial mesenchymal transition (EMT) plays important roles in airway remodeling characteristic of idiopathic lung fibrosis, asthma and chronic obstructive pulmonary disease (COPD). Inflammation of the airways leads to airway injury and tumor necrosis factor alpha (TNFα) plays an important pro-inflammatory role. Little systematic information about the effects of EMT on TNFα signaling is available. Using an in vitro model of TGFβ-induced EMT in primary human small airway epithelial cells (hSAECs), we applied quantitative proteomics and phosphoprotein profiling to understand the molecular mechanism of EMT and the impact of EMT on innate inflammatory responses. We quantified 7925 proteins and 1348 phosphorylation sites by stable isotope labeling with iTRAQ technology. We found that cellular response to TNFα is cell state dependent and the relative TNFα response in mesenchymal state is highly compressed. Combined bioinformatics analyses of proteome and phosphoproteome indicate that the EMT state is associated with reprogramming of kinome, signaling cascade of upstream transcription regulators, phosphor-networks, and NF-κB dependent cell signaling. BIOLOGICAL SIGNIFICANCE: Epithelial mesenchymal transition and inflammation have important implications for clinical and physiologic manifestations of chronic airway diseases such as severe asthma, COPD, and lung fibrosis. Little systematic information on the interplay between EMT and innate inflammation is available. This study combined quantitative proteomics and phosphorproteomics approach to obtain systems-level insight into the upstream transcription regulators involved in the TGFβ-induced EMT in primary human small airway epithelial cells and to elucidate how EMT impacts on the TNFα signaling pathways. The proteomics and phosphoproteomics analysis indicates that many signaling pathways involved in TGFβ-induced EMT and EMT has profound reprogramming effects on innate inflammation response.

Indexed as

Airway RemodelingSignal TransductionAlveolar Epithelial CellsCell Line, TransformedEpithelial-Mesenchymal TransitionHumansInflammationPhosphoproteinsProteomicsTransforming Growth Factor betaTumor Necrosis Factor-alphaPhosphoproteinsTransforming Growth Factor betaTumor Necrosis Factor-alphaEpithelial mesenchymal transitionInnate immune responseMass spectrometryPhosphoproteomicsProteomics

Identifiers

PMID27461979
PMCPMC5292320
OpenAlexW2483231344

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.