Evidence map›Paper›PMID 27330862›Full record

ArticlePeerJ2016

(1)H NMR studies distinguish the water soluble metabolomic profiles of untransformed and RAS-transformed cells.

Vered Marks, Anisleidys Munoz, Priyamvada Rai, Jamie D Walls

Abstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Scientific reports · 2021
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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

4 authors.

Vered MarksDepartment of Chemistry, University of Miami Coral Gables , FL , USA.
Anisleidys MunozDepartment of Chemistry, University of MiamiCoral Gables, FL, USA; Department of Medicine, Division of Hematology and Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Priyamvada RaiDepartment of Medicine, Division of Hematology and Oncology, University of Miami Miller School of Medicine, Miami, FL, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
Jamie D WallsDepartment of Chemistry, University of Miami Coral Gables , FL , USA.

Funding

MutT Homolog 1 as a Novel Mediator of RAS Oncogene-Induced Pro-Malignant PathwaysR01CA175086 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RAI, PRIYAMVADA · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA175086
6 · The paper itself

Abstract

Metabolomic profiling is an increasingly important method for identifying potential biomarkers in cancer cells with a view towards improved diagnosis and treatment. Nuclear magnetic resonance (NMR) provides a potentially noninvasive means to accurately characterize differences in the metabolomic profiles of cells. In this work, we use (1)H NMR to measure the metabolomic profiles of water soluble metabolites extracted from isogenic control and oncogenic HRAS-, KRAS-, and NRAS-transduced BEAS2B lung epithelial cells to determine the robustness of NMR metabolomic profiling in detecting differences between the transformed cells and their untransformed counterparts as well as differences among the RAS-transformed cells. Unique metabolomic signatures between control and RAS-transformed cell lines as well as among the three RAS isoform-transformed lines were found by applying principal component analysis to the NMR data. This study provides a proof of principle demonstration that NMR-based metabolomic profiling can robustly distinguish untransformed and RAS-transformed cells as well as cells transformed with different RAS oncogenic isoforms. Thus, our data may potentially provide new diagnostic signatures for RAS-transformed cells.

Indexed as

1D NOESY1H NMR metabolomicsFieller’s method for unpaired dataOncogenic RAS

Identifiers

PMID27330862
PMCPMC4906648

What OpenQuestion holds

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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.