Evidence map›Paper›PMID 33549605›Full record

ArticleThe Journal of investigative dermatology2021

Measurement of Melanin Metabolism in Live Cells by [U-

Qiuying Chen, Dalee Zhou, Zalfa Abdel-Malek, Fengli Zhang, Philip S Goff, Elena V Sviderskaya, Kazumasa Wakamatsu, Shosuke Ito, Steven S Gross, Jonathan H Zippin

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of investigative dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

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  11. Current Knowledge in Skin Metabolomics: Updates from Literature Review.International journal of molecular sciences · 2022
    Review
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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 4 institutions in 3 countries.

Qiuying ChenDepartment of Pharmacology, Joan and Sanford I. Weill Medical College of Cornell University, New York, New York, USA.
Dalee ZhouDepartment of Dermatology, Joan and Sanford I. Weill Medical College of Cornell University, New York, New York, USA.
Zalfa Abdel-MalekDepartment of Dermatology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Fengli ZhangDepartment of Pharmacology, Joan and Sanford I. Weill Medical College of Cornell University, New York, New York, USA.
Philip S GoffCell Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.
Elena V SviderskayaCell Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.
Kazumasa WakamatsuInstitute for Melanin Chemistry, Fujita Health University, Toyoake, Japan.
Shosuke ItoInstitute for Melanin Chemistry, Fujita Health University, Toyoake, Japan.
Steven S GrossDepartment of Pharmacology, Joan and Sanford I. Weill Medical College of Cornell University, New York, New York, USA.
Jonathan H ZippinDepartment of Pharmacology, Joan and Sanford I. Weill Medical College of Cornell University, New York, New York, USA; Department of Dermatology, Joan and Sanford I. Weill Medical College of Cornell University, New York, New York, USA. Electronic address: jhzippin@med.cornell.edu.
Cornell University · USFujita Health University · JPSt George's, University of London · GBUniversity of Cincinnati Medical Center · US

Funding

Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
Mechanisms of cAMP-dependent regulation of melanosome pHR01AR077664 · NIAMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Jonathan Hale Zippin · 2021 to 2026
$3.6M
Metabolic remodeling of skeletal muscle in mitochondrial myopathiesR01AR076029 · NIAMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHEN, QIUYING, D'AURELIO, MARILENA · 2020 to 2024
$2.7M
Pho-m6A assay: A phosphoselective method to quantify dynamics of m6A in mRNAR21ES032347 · NIEHS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHEN, QIUYING, JAFFREY, SAMIE R · 2020 to 2021
$466k
Uncovering the role of m6A in the melanocyte response to ultraviolet lightR21CA224391 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI JAFFREY, SAMIE R, ZIPPIN, JONATHAN HALE · 2018 to 2019
$399k
Targeting the Melanocortin 1 Receptor by Selective Small Analogs of α-Melanocortin for Melanoma PreventionI01BX003668 · VA · CINCINNATI VA MEDICAL CENTER RESEARCH · PI ABDEL-MALEK, ZALFA · 2018 to 2022
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BLRD VA I01 BX003668NCI NIH HHS R21 CA224391NIAMS NIH HHS R01 AR076029NIAMS NIH HHS R01 AR077664NIEHS NIH HHS R21 ES032347NIGMS NIH HHS T32 GM007739Wellcome TrustWellcome Trust 108429/Z/15/Z
6 · The paper itself

Abstract

Melanin synthesis occurs within a specialized organelle called the melanosome. Traditional methods for measuring melanin levels rely on the detection of chemical degradation products of melanin by high-performance liquid chromatography. Although these methods are robust, they are unable to distinguish between melanin synthesis and degradation and are best suited to measure melanin changes over long periods of time. We developed a method that actively measures both eumelanin and pheomelanin synthesis by fate tracing [U-

Indexed as

Adenylyl CyclasesAnimalsCarbon IsotopesCells, CulturedChromatography, High Pressure LiquidHumansMass SpectrometryMelaninsMelanosomesMiceMice, KnockoutPrimary Cell CultureReceptor, Melanocortin, Type 1Skin PigmentationTyrosineAdenylyl CyclasesCarbon-13Carbon IsotopeseumelaninMC1R protein, humanMelaninspheomelaninReceptor, Melanocortin, Type 1Tyrosine

Identifiers

PMID33549605
PMCPMC8830938
OpenAlexW3127097640

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.