LncCE: Landscape of Cellularly-elevated lncRNAs in Single Cells Across Normal and Cancer Tissues
Kang Xu, Yujie Liu, Chongwen Lv, Ya Luo, Jingyi Shi, Haozhe Zou, Weiwei Zhou, Dezhong Lv, Changbo Yang, Yongsheng Li, Juan Xu

TL;DR
This paper introduces LncCE, a database that identifies lncRNAs elevated in specific cell types across normal and cancer tissues at the single-cell level.
Contribution
The novel contribution is the systematic identification and visualization of cellularly-elevated lncRNAs across diverse normal and cancer cell types.
Findings
LncCE includes 87,946 entries of CE lncRNAs across 149 cell types from 181 single-cell RNA sequencing datasets.
The database provides co-expression patterns of lncRNAs with protein-coding genes and their biological functions.
LncCE visualizes lncRNA expression changes in cancers and links them to patient survival outcomes.
Abstract
Long non-coding RNAs (lncRNAs) have emerged as significant players in maintaining the morphology and function of tissues and cells. The precise regulatory effectiveness of lncRNAs is closely associated with their spatial expression patterns across tissues and cells. Here, we propose the Cellularly-Elevated LncRNA (LncCE) resource to systematically explore cellularly-elevated (CE) lncRNAs across normal and cancer tissues at single-cell resolution. LncCE encompasses 87,946 entries of CE lncRNAs of 149 cell types by analyzing 181 single-cell RNA sequencing datasets, involving 20 fetal normal tissues, 59 adult normal tissues, 32 adult cancer types, and 5 pediatric cancer types. Two main search options are provided via a given lncRNA name or cell type. The results emphasize both qualitative and quantitative expression features of lncRNAs across different cell types, their co-expression with…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsCancer-related molecular mechanisms research · Molecular Biology Techniques and Applications · RNA modifications and cancer
