Evidence map›Paper›PMID 34535676›Full record

ArticleNPJ systems biology and applications2021

Argininosuccinate lyase is a metabolic vulnerability in breast development and cancer.

Sigurdur Trausti Karvelsson, Qiong Wang, Bylgja Hilmarsdottir, Arnar Sigurdsson, Siver Andreas Moestue, Gunhild Mari Mælandsmo, Skarphedinn Halldorsson, Steinn Gudmundsson, Ottar Rolfsson

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Sigurdur Trausti KarvelssonCenter for Systems Biology, University of Iceland, Reykjavik, Iceland.ORCID 0000-0002-1088-2364
Qiong WangCenter for Systems Biology, University of Iceland, Reykjavik, Iceland.
Bylgja HilmarsdottirDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Arnar SigurdssonDepartment of Chemistry, Sekr. TC 2, Faculty II Mathematics and Natural Sciences, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0001-9617-0829
Siver Andreas MoestueDepartment of Clinical and Molecular Medicine, NTNU, Trondheim, Norway.ORCID 0000-0002-1940-5695
Gunhild Mari MælandsmoDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-4797-1600
Skarphedinn HalldorssonCenter for Systems Biology, University of Iceland, Reykjavik, Iceland.
Steinn GudmundssonCenter for Systems Biology, University of Iceland, Reykjavik, Iceland.
Ottar RolfssonCenter for Systems Biology, University of Iceland, Reykjavik, Iceland. ottarr@hi.is.ORCID 0000-0003-4258-6057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-to-mesenchymal transition (EMT) is fundamental to both normal tissue development and cancer progression. We hypothesized that EMT plasticity defines a range of metabolic phenotypes and that individual breast epithelial metabolic phenotypes are likely to fall within this phenotypic landscape. To determine EMT metabolic phenotypes, the metabolism of EMT was described within genome-scale metabolic models (GSMMs) using either transcriptomic or proteomic data from the breast epithelial EMT cell culture model D492. The ability of the different data types to describe breast epithelial metabolism was assessed using constraint-based modeling which was subsequently verified using

Indexed as

Breast NeoplasmsProteomicsArgininosuccinate LyaseEpithelial-Mesenchymal TransitionFemaleGenomeHumansArgininosuccinate Lyase

Identifiers

PMID34535676
PMCPMC8448827

What OpenQuestion holds

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LicenceCC BY
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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.