Evidence map›Paper›PMID 30736855›Full record

ArticleEpigenetics & chromatin2019

Coordination between TGF-β cellular signaling and epigenetic regulation during epithelial to mesenchymal transition.

Congcong Lu, Simone Sidoli, Katarzyna Kulej, Karen Ross, Cathy H Wu, Benjamin A Garcia

Abstract read
In one paragraph

Article in Epigenetics & chromatin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

6 authors.

Congcong LuEpigenetics Institute, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Simone SidoliEpigenetics Institute, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Katarzyna KulejEpigenetics Institute, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Karen RossCenter for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, Newark, DE, 19711, USA.
Cathy H WuCenter for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, Newark, DE, 19711, USA.ORCID 0000-0001-6379-8601
Benjamin A GarciaEpigenetics Institute, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. bgarci@pennmedicine.upenn.edu.

Funding

Shared Resources Core 2: Quantitative Proteomics CoreP01CA196539 · NCI · ROCKEFELLER UNIVERSITY · PI MUIR, TOM · 2015 to 2024
$17.6M
Viral modulation of epitranscriptomic mechanismsR01AI118891 · NIAID · WASHINGTON UNIVERSITY · PI GARCIA, BENJAMIN A, WEITZMAN, MATTHEW D. · 2015 to 2025
$5.4M
Understanding the Role of Combinatorial Histone PTM PatternsR01GM110174 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI GARCIA, BENJAMIN A · 2014 to 2017
$1.3M
Semantic Literature Annotation and Integrative Panomics Analysis for PTM-Disease Knowledge Network DiscoveryU01GM120953 · NIGMS · UNIVERSITY OF DELAWARE · PI SHANKER, VIJAY K, WU, CATHY H. · 2016 to 2018
$1.1M
NCI NIH HHS P01 CA196539NIAID NIH HHS R01 AI118891NIGMS NIH HHS R01 GM110174NIGMS NIH HHS U01 GM120953NIH HHS AI118891NIH HHS CA196539NIH HHS GM110104NIH HHS GM120953
6 · The paper itself

Abstract

backgroundEpithelial to mesenchymal transition (EMT) plays a crucial role in cancer propagation. It can be orchestrated by the activation of multiple signaling pathways, which have been found to be highly coordinated with many epigenetic regulators. Although the mechanism of EMT has been studied over decades, cross talk between signaling and epigenetic regulation is not fully understood.

resultsHere, we present a time-resolved multi-omics strategy, which featured the identification of the correlation between protein changes (proteome), signaling pathways (phosphoproteome) and chromatin modulation (histone modifications) dynamics during TGF-β-induced EMT. Our data revealed that Erk signaling was activated in 5-min stimulation and structural proteins involved in cytoskeleton rearrangement were regulated after 1-day treatment, constituting a detailed map of systematic changes. The comprehensive profiling of histone post-translational modifications identified H3K27me3 as the most significantly up-regulated mark. We thus speculated and confirmed that a combined inhibition of Erk signaling and Ezh2 (H3K27me3 methyltransferase) was more effective in blocking EMT progress than individual inhibitions.

conclusionsIn summary, our data provided a more detailed map of cross talk between signaling pathway and chromatin regulation comparing to previous EMT studies. Our findings point to a promising therapeutic strategy for EMT-related diseases by combining Erk inhibitor (singling pathway) and Ezh2 inhibitor (epigenetic regulation).

Indexed as

Epigenesis, GeneticEpithelial-Mesenchymal TransitionMAP Kinase Signaling SystemAnimalsCell LineEnhancer of Zeste Homolog 2 ProteinHistone CodeMiceTransforming Growth Factor betaEnhancer of Zeste Homolog 2 ProteinEzh2 protein, mouseTransforming Growth Factor betaCombinatorial inhibition targeting signaling pathway and epigenetic regulatorComprehensive profiling of histone modificationsEpithelial to mesenchymal transitionErk signalingHistone H3 lysine 27 trimethylationTime-resolved quantitative (phospho)proteomics

Identifiers

PMID30736855
PMCPMC6368739

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Registered trials

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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.