Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

LGEA

General information

URL: https://research.cchmc.org/pbge/lunggens/mainportal.html
Full name: Lung Gene Expression Analysis Web Portal
Description: LungGENS is designed to facilitate the retrieval of lung cell-specific gene expression information from extensive data sets derived from RNA sequencing of single cells and to integrate to the data with previous RNA expression studies from mouse lung at various developmental times. LGEA web portal (Lung Gene Expression Analysis web portal), an extended version of LungGENS, is designed for analyses of lung gene expression patterns and mapping cell types in the developmental lung from single cells, sorted cell populations and whole tissue developmental studies. Current version of LGEA implements a number of new features and analytical methods. It allows the analysis of 1 ) single cell transcriptomes using LungGENS; 2) sorted lung cell populations using LungSortedCells; 3) Lung Developmental Time Course analysis using LungDTC; 4) Lung Disease analysis LungDisease; 5) Epigenetic analysis using LungEpigenetics; 6) Lung Image; 7) lung proteomics analysis using LungProteomics; 8) lung studies using external publication; 9) Lung Ontology Browser and 10) LGEA tool box to facilitate comparison and integration analyses.
Year founded: 2015
Last update: 2018
Version: 4
Accessibility:
Accessible
Country/Region: United States

Contact information

University/Institution: Cincinnati Children's Hospital Medical Center
Address: 3333 Burnet Avenue, MLC7029, Cincinnati, OH 45229-3039, USA
City: Cincinnati
Province/State: Ohio
Country/Region: United States
Contact name (PI/Team): Yan Xu
Contact email (PI/Helpdesk): Yan.Xu@cchmc.org

Publications

28070014
Lung Gene Expression Analysis (LGEA): an integrative web portal for comprehensive gene expression data analysis in lung development. [PMID: 28070014]
Du Y, Kitzmiller JA, Sridharan A, Perl AK, Bridges JP, Misra RS, Pryhuber GS, Mariani TJ, Bhattacharya S, Guo M, Potter SS, Dexheimer P, Aronow B, Jobe AH, Whitsett JA, Xu Y.

'LungGENS', our previously developed web tool for mapping single-cell gene expression in the developing lung, has been well received by the pulmonary research community. With continued support from the 'LungMAP' consortium, we extended the scope of the LungGENS database to accommodate transcriptomics data from pulmonary tissues and cells from human and mouse at different stages of lung development. Lung Gene Expression Analysis (LGEA) web portal is an extended version of LungGENS useful for the analysis, display and interpretation of gene expression patterns obtained from single cells, sorted cell populations and whole lung tissues. The LGEA web portal is freely available at http://research.cchmc.org/pbge/lunggens/mainportal.html.

Thorax. 2017:72(5) | 99 Citations (from Europe PMC, 2025-12-20)
26130332
'LungGENS': a web-based tool for mapping single-cell gene expression in the developing lung. [PMID: 26130332]
Du Y, Guo M, Whitsett JA, Xu Y.

We developed LungGENS (Lung Gene Expression iN Single-cell), a web-based bioinformatics resource for querying single-cell gene expression databases by entering a gene symbol or a list of genes or selecting a cell type of their interest. Gene query provides quantitative RNA expression of the gene of interest in each lung cell type. Cell type query returns associated selective gene signatures and genes encoding cell surface markers and transcription factors in interactive heatmap and tables. LungGENS will be broadly applicable in respiratory research, providing a cell-specific RNA expression resource at single-cell resolution. LungGENS is freely available for non-commercial use at https://research.cchmc.org/pbge/lunggens/default.html.

Thorax. 2015:70(11) | 111 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
772/6895 (88.818%)
Expression:
131/1347 (90.349%)
772
Total Rank
200
Citations
20
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Record metadata

Created on: 2018-01-24
Curated by:
Dong Zou [2019-12-02]
[2018-12-03]
Lina Ma [2018-04-25]
Sidra Younas [2018-04-04]
Sidra Younas [2018-04-03]
Yang Zhang [2018-01-24]