1. Overview of LncSpA

Knowledge of lncRNA spatial expression patterns across tissues is important for identifying their roles in different tissues that provide important insights into disease mechanisms and tissue-specific therapeutic targets, especially the tissue elevated lncRNAs (TE lncRNAs), which expressed higher in a certain tissue or groups, and either not expressed or expressed at lower levels in other tissues. The lncSpA aims at providing the spatial atlas of expression for lncRNAs across normal and cancer tissues by 21230 RNA-seq samples, including 38 different normal tissues, 33 adult cancer types and 7 pediatric cancer types of the human body. TE lncRNAs in each individual tissues under either normal or cancer conditions (“TE” and “Cancer TE”), as well as cancer clinical related TE lncRNAs (“Clinical related TE”) are identified.

2. Definition of lncNRA classification
3. Search

Four ways were provided to scan the information of your interested lncRNA or lncRNA set in detail.

3.1 Users can select a resource, tissue and category of interest to view the informations of lncRNAs.

3.2 Users can select a resource, cancer and category of interest to view the informations of lncRNAs.

3.3 Users can input lncRNA ensembl ID or symbol to view the informations of lncRNAs.

3.4 Users can input genomic position of interest to view the informations of lncRNAs.

4. Result

You can get the result through the four ways described above. In this page, we provide symbol, id, genome location, category and tissue. User also can see the details of query lncRNAs by clicking details.

5. Details

This page shows qualitative and quantitative expression features of queried lncRNAs across different resources, and highlights the quantitative view of expression levels in the selected normal tissue (or cancers) relative to all other tissues (or cancers).

Users can also set interactively co-expressed threshold for determining the expression-associated protein-coding gene sets and using them to further perform functional enrichment analysis on-line. A graphical overview of co-expressed genes is also provided.

For cancers, we specially provided quantitative figures for exhibiting their expression changes compared to control samples and relationships with patient overall survival under the consideration of other available clinical indexes.

6. Download

In addition, download links are provided, which allow the user to batch download information they interested in.

7. Tutorials

Users can also see the following tutorials to clearly understand the LncSpA

©2019 College of Bioinformatics Science and Technology,Harbin Medical University