Evidence map›Paper›PMID 32699630›Full record

ArticleCancer & metabolism2020

Fine-tuning the metabolic rewiring and adaptation of translational machinery during an epithelial-mesenchymal transition in breast cancer cells.

Tamara Fernández-Calero, Marcos Davyt, Karen Perelmuter, Cora Chalar, Giovana Bampi, Helena Persson, Juan Pablo Tosar, Völundur Hafstað, Hugo Naya, Carlos Rovira and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

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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

15 authors at 5 institutions in 4 countries.

Tamara Fernández-Calero *Biochemistry-Molecular Biology Section, Faculty of Sciences, Universidad de la República, Iguá 4225, CP 11400 Montevideo, Uruguay.
Marcos Davyt *Biochemistry-Molecular Biology Section, Faculty of Sciences, Universidad de la República, Iguá 4225, CP 11400 Montevideo, Uruguay.
Karen PerelmuterCell Biology Unit, Institut Pasteur Montevideo, Mataojo, 2020 Montevideo, Uruguay.
Cora ChalarBiochemistry-Molecular Biology Section, Faculty of Sciences, Universidad de la República, Iguá 4225, CP 11400 Montevideo, Uruguay.
Giovana BampiInstitute for Biochemistry and Molecular Biology, Department of Chemistry, University of Hamburg, Hamburg, Germany.
Helena PerssonDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University Cancer Center, Lund University, SE-223 63 Lund, Sweden.
Juan Pablo TosarFunctional Genomics Unit, Institut Pasteur de Montevideo, Mataojo, 2020 Montevideo, Uruguay.
Völundur HafstaðDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University Cancer Center, Lund University, SE-223 63 Lund, Sweden.
Hugo NayaBioinformatics Unit, Institut Pasteur Montevideo, Mataojo, 2020 Montevideo, Uruguay.
Carlos RoviraDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University Cancer Center, Lund University, SE-223 63 Lund, Sweden.
Mariela Bollati-FogolínCell Biology Unit, Institut Pasteur Montevideo, Mataojo, 2020 Montevideo, Uruguay.
Ricardo EhrlichBiochemistry-Molecular Biology Section, Faculty of Sciences, Universidad de la República, Iguá 4225, CP 11400 Montevideo, Uruguay.
Gilles FlouriotUniversité de Rennes 1-IRSET, Campus Santé de Villejean, 35000 Rennes, France.
Zoya IgnatovaInstitute for Biochemistry and Molecular Biology, Department of Chemistry, University of Hamburg, Hamburg, Germany.
Mónica MarínBiochemistry-Molecular Biology Section, Faculty of Sciences, Universidad de la República, Iguá 4225, CP 11400 Montevideo, Uruguay.
Institut Pasteur de Montevideo · UYUniversidad de la República · UYLund University · SEUniversität Hamburg · DEUniversité de Rennes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstract

backgroundDuring breast cancer progression, the epithelial to mesenchymal transition has been associated with metastasis and endocrine therapy resistance; however, the underlying mechanisms remain elusive. To gain insight into this process, we studied the transition undergone by MCF7-derived cells, which is driven by the constitutive nuclear expression of a MKL1 variant devoid of the actin-binding domain (MKL1 ΔN200). We characterized the adaptive changes that occur during the MKL1-induced cellular model and focused on regulation of translation machinery and metabolic adaptation.

methodsWe performed a genome-wide analysis at the transcriptional and translational level using ribosome profiling complemented with RNA-Seq and analyzed the expression of components of the translation machinery and enzymes involved in energy metabolism. NGS data were correlated with metabolomic measurements and quantification of specific mRNAs extracted from polysomes and western blots.

resultsOur results reveal the expression profiles of a luminal to basal-like state in accordance with an epithelial to mesenchymal transition. During the transition, the synthesis of ribosomal proteins and that of many translational factors was upregulated. This overexpression of the translational machinery appears to be regulated at the translational level. Our results indicate an increase of ribosome biogenesis and translation activity. We detected an extensive metabolic rewiring occurring in an already "Warburg-like" context, in which enzyme isoform switches and metabolic shunts indicate a crucial role of HIF-1α along with other master regulatory factors. Furthermore, we detected a decrease in the expression of enzymes involved in ribonucleotide synthesis from the pentose phosphate pathway. During this transition, cells increase in size, downregulate genes associated with proliferation, and strongly upregulate expression of cytoskeletal and extracellular matrix genes.

conclusionsOur study reveals multiple regulatory events associated with metabolic and translational machinery adaptation during an epithelial mesenchymal-like transition process. During this major cellular transition, cells achieve a new homeostatic state ensuring their survival. This work shows that ribosome profiling complemented with RNA-Seq is a powerful approach to unveil in-depth global adaptive cellular responses and the interconnection among regulatory circuits, which will be helpful for identification of new therapeutic targets.

Indexed as

Breast cancerBreast cancer stem cellsEMTLuminal to basal transitionMetabolism adaptationMKL1/actin signaling pathwayRibosome profilingTranslation machinery

Identifiers

PMID32699630
PMCPMC7368990
OpenAlexW3042917699

What OpenQuestion holds

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LicenceCC BY
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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.