Evidence map›Paper›PMID 31762797›Full record

ArticleAnalytical methods : advancing methods and applications2019

Measurement of methylated metabolites using Liquid Chromatography-Mass Spectrometry and its biological application.

Chandrashekar R Ambati, Venkatrao Vantaku, Sri Ramya Donepudi, Chandra Sekhar Amara, Shiva Shankar Ravi, Akhil Mandalapu, Maharajni Perla, Vasanta Putluri, Arun Sreekumar, Nagireddy Putluri

Abstract read
In one paragraph

Article in Analytical methods : advancing methods and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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  6. Plants (Basel, Switzerland) · 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

10 authors at 1 institution in 1 country.

Chandrashekar R AmbatiAdvanced Technology Core, Dan L. Duncan Cancer Center, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA.
Venkatrao VantakuDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, TX, USA.
Sri Ramya DonepudiAdvanced Technology Core, Dan L. Duncan Cancer Center, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA.
Chandra Sekhar AmaraDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, TX, USA.
Shiva Shankar RaviDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, TX, USA.
Akhil MandalapuDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, TX, USA.
Maharajni PerlaDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, TX, USA.
Vasanta PutluriAdvanced Technology Core, Dan L. Duncan Cancer Center, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA.
Arun SreekumarAdvanced Technology Core, Dan L. Duncan Cancer Center, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA.
Nagireddy PutluriAdvanced Technology Core, Dan L. Duncan Cancer Center, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA.
Baylor College of Medicine · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Circulating Biomarkers and Imaging for Early Detection of Pancreatic CancerU01CA214263 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI EUGENE J KOAY, Subrata Sen · 2018 to 2026
$7.2M
Identify the DNA Adduct and Associated Metabolic Alterations in Bladder Cancer of SmokersR01CA216426 · NCI · BAYLOR COLLEGE OF MEDICINE · PI EL-ZEIN, RANDA A, PUTLURI, NAGIREDDY · 2018 to 2022
$2.0M
Racial Disparity in Bladder Cancer and Identification of Altered Metabolism in African American Compare to European Bladder CancerR01CA220297 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PUTLURI, NAGIREDDY · 2017 to 2021
$1.8M
Delineating racially distinct metabolic pathways in triple negative breast cancerU01CA179674 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SREEKUMAR, ARUN · 2014 to 2018
$1.7M
NCI NIH HHS P30 CA125123NCI NIH HHS R01 CA216426NCI NIH HHS R01 CA220297NCI NIH HHS U01 CA179674NCI NIH HHS U01 CA214263
6 · The paper itself

Abstract

Methylation aberrations play an important role in many metabolic disorders including cancer. Methylated metabolites are direct indicators of metabolic aberrations, and currently, there is no Liquid chromatography - Mass spectrometry (LC-MS) based method available to cover all classes of methylated metabolites at low detection limits. In this study, we have developed a method for the detection of methylated metabolites, and it's biological application. In this approach, we used a HILIC based HPLC with MS to measure methylated organic acids, amino acids, and nucleotides. These metabolites were separated from each other by their hydrophobic interactions and analyzed by targeted metabolomics of single reaction monitoring by positive and negative mode of electrospray ionization. These metabolites were quantified, and the interday reproducibility was <10% relative standard deviation. Furthermore, by applying this method, we identified high levels of methylated metabolites in bladder cancer cell lines compared to benign cells.

Identifiers

PMID31762797
PMCPMC6874373
OpenAlexW2900840525

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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.