Dataset Information

Integrated transcriptomic and proteomic analysis of human eccrine sweat glands

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. In addition, inadequate reabsorption of salt from sweat is a major feature of cystic fibrosis. Understanding the transcriptome and proteome of sweat glands is important for understanding the physiology and the role in disease. However, no systematic transcriptome or proteome analysis of sweat glands has yet been reported. To this end, we isolated eccrine sweat glands by microdissecting them from human skin and performed both RNA-seq and proteome analysis. In total, ~138,000 transcripts and ~6,100 proteins were identified. The proteome data of eccrine sweat gland showed enrichment of proteins involved in secretion, reabsorption, and wound healing while the transcriptome data did not show any enrichment for a specific pathway. Importantly, protein level identification of TRPV4 in eccrine sweat gland establishes its importance in re-epithelialization of partial-thickness wound and prevention of dehydration. Furthermore, this study enabled us to identify2 missing proteins. Integration of RNA-seq and proteomic data allowed us to identify 7 peptides from 5 novel genes. 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. The peptides mapping to the missing or novel proteins were validated by analyzing synthetic peptides. This study provides the first integrated analysis of the transcriptome and proteome of the human eccrine sweat gland and should become an invaluable resource to biomedical research community for studying sweat glands in physiology and disease.

INSTRUMENT(S): LTQ Orbitrap Elite, Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Akhilesh Pandey

PROVIDER: MSV000084086 | MassIVE | Fri Jul 12 15:49:00 BST 2019

SECONDARY ACCESSION(S): PXD010637

REPOSITORIES: MassIVE

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Publications

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

Na Chan Hyun CH Sharma Neeraj N Madugundu Anil K AK Chen Ruiqiang R Aksit Melis Atalar MA Rosson Gedge D GD Cutting Garry R GR Pandey Akhilesh A

Molecular & cellular proteomics : MCP 20190412 7

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 ...[more]

PMID: 30979791

Similar Datasets

Project description:Background: Anopheles culicifacies is a rural vector of malaria in tropical and sub tropical South East Asian region. The salivary gland of the mosquito is the target for sporozoite interaction, blood feeding behavior, haemostasis and vector-parasite interactions. Malaria parasite matures inside the salivary gland, gain competence and transmitted to the host along with the saliva during biting. The importance of the proteins expressed in salivary gland is the first step in understanding the physiology of blood feeding and may provide insights into vector- parasite interactions. Since, no genomic or transcriptomics information is available of Anopheles culicifacies, therefore locally expressed functional proteins in salivary glands are of much importance. . Method: In this study, 1DE protein and in solution digestion was combined with tandem mass spectrometry (nano LC-MS/MS) and computational bioinformatics for data mining was employed to study the proteome profile of salivary glands of sugar fed An. culicifacies mosquito species. Functional annotation of all the identified proteins was carried out using gene ontology tools, CELLO and SMART analysis software. Results: Total 102 proteins were identified and analysed by SEQUEST algorithm against mosquito protein database from Uniprot/NCBI. Out of which 81 proteins were identified using gel free approach and 21 proteins using in-gel approach and 15 were common among these two approaches. All the identified proteins were categorized in to 23 groups of biological processes using GO tool. 7 proteins were depicted to be secretary in nature by investigating the signal peptide present. Potential proteins with unknown function were predicted by analyzing their functional association with other characterized proteins by STRING algorithm and were categorized in cell adhesion, cytoskeleton and membrane trafficking networks. Conclusion: Our study elucidates the first proteomic dataset of An. culicifacies salivary gland proteins. Functional annotation of salivary proteins and complementary gene ontology assignments in An. culicifacies species may contribute towards understanding the complex physiology of the tissues in this species. This proteome baseline data may facilitate the discernment of salivary glands and parasite correlation during blood feeding. Furthermore, this mass spectrometry based proteomic data may also provide insights into the elucidation of role of differential functional proteins present in refractory An. culicifacies mosquito and may be useful for development of effective malaria control strategies.