Evidence map›Paper›PMID 30979791›Full record

ArticleMolecular & cellular proteomics : MCP2019

Integrated Transcriptomic and Proteomic Analysis of Human Eccrine Sweat Glands Identifies Missing and Novel Proteins.

Chan Hyun Na, Neeraj Sharma, Anil K Madugundu, Ruiqiang Chen, Melis Atalar Aksit, Gedge D Rosson, Garry R Cutting, Akhilesh Pandey

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 37 citations in OpenAlex.

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  13. Physiological mechanisms determining eccrine sweat composition.European journal of applied physiology · 2020
    Review
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

8 authors at 3 institutions in 2 countries.

Chan Hyun NaFrom the ‡McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland;; §Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland;; ¶Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland;; ‖Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Neeraj SharmaFrom the ‡McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Anil K MadugunduFrom the ‡McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland;; §§Institute of Bioinformatics, Bangalore, India;; ¶¶Manipal Academy of Higher Education (MAHE), Manipal 576104, Karnataka, India.
Ruiqiang ChenFrom the ‡McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland;; §Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Melis Atalar AksitFrom the ‡McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Gedge D Rosson‖‖Department of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Garry R CuttingFrom the ‡McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland;. Electronic address: gcutting@jhmi.edu.
Akhilesh PandeyFrom the ‡McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland;; §Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland;; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland;; ‡‡Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland;. Electronic address: pandey@jhmi.edu.
Johns Hopkins University · USJohns Hopkins Medicine · USInstitute of Bioinformatics · IN

Funding

MOLECULAR GENETICS OF CYSTIC FIBROSISR01DK044003 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Garry R Cutting · 1991 to 2026
$6.7M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
Fourier Transform Orbitrap Fusion Lumos Tribrid Mass Spectrometer with ETDS10OD021844 · OD · JOHNS HOPKINS UNIVERSITY · PI PANDEY, AKHILESH · 2016 to 2016
$1.1M
NCI NIH HHS U24 CA210985NIDDK NIH HHS R01 DK044003NIH HHS S10 OD021844
6 · The paper itself

Abstract

The eccrine sweat gland is an exocrine gland that is involved in the secretion of sweat for control of temperature. Malfunction of the sweat glands can result in disorders such as miliaria, hyperhidrosis and bromhidrosis. Understanding the transcriptome and proteome of sweat glands is important for understanding their physiology and role in diseases. However, no systematic transcriptome or proteome analysis of sweat glands has yet been reported. Here, we isolated eccrine sweat glands from human skin by microdissection and performed RNA-seq and proteome analysis. In total, ∼138,000 transcripts and ∼6,100 proteins were identified. Comparison of the RNA-seq data of eccrine sweat glands to other human tissues revealed the closest resemblance to the cortex region of kidneys. The proteome data showed enrichment of proteins involved in secretion, reabsorption, and wound healing. Importantly, protein level identification of the calcium ion channel TRPV4 suggests the importance of eccrine sweat glands in re-epithelialization of wounds and prevention of dehydration. We also identified 2 previously missing proteins from our analysis. Using a proteogenomic approach, we identified 7 peptides from 5 novel genes, which we validated using synthetic peptides. Most of the novel proteins were from short open reading frames (sORFs) suggesting that many sORFs still remain to be annotated in the human genome. This study presents the first integrated analysis of the transcriptome and proteome of the human eccrine sweat gland and would become a valuable resource for studying sweat glands in physiology and disease.

Indexed as

ProteomicsAmino Acid SequenceEccrine GlandsExonsHumansOpen Reading FramesProteomePseudogenesRNATranscriptomeProteomeRNACystic fibrosisMass SpectrometryPeptide Synthesis*ProteogenomicsProteomicsRNA SEQSweat glandsTranscriptomics

Identifiers

PMID30979791
PMCPMC6601213
OpenAlexW2938912203

What OpenQuestion holds

Textmetadata
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.