henhaobio
Sign in

Genomics Proteomics & BioinformaticsCancer BiologyPeer-reviewed journal article

LncCE: Landscape of Cellular-Elevated LncRNAs in Single Cells Across Normal and Cancer Tissues

Kang XuiD, Yujie LiuiD, Chongwen LviD, Ya Hong LuoiD, Jingyi ShiiD, Haozhe ZouiD, Weiwei ZhouiD, Dezhong LviD, Changbo YangiD, Yongsheng LiiD, Juan XuiD

PDFDOIPreprint

Abstract

Long non-coding RNAs (lncRNAs) have emerged as significant players for maintaining the morphology and function of tissues or cells. The precise regulatory effectiveness of lncRNA is closely associated with the spatial expression patterns across tissues and cells. Here, we proposed the Cellular-Elevated LncRNA (LncCE) database to systematically explore cellular-elevated (CE) lncRNAs across normal and cancer tissues in single cells. LncCE encompasses 87,946 CE lncRNAs of 149 cell types by analyzing 181 single-cell RNA sequencing (scRNA-seq) datasets, involved in 20 fetal normal tissues, 59 adult normal tissues, as well as 32 adult and 5 pediatric cancer tissues.Two main search options were provided via a given lncRNA name or a cell type. The output results emphasize both qualitative and quantitative expression features of lncRNAs across different cell types, co-expression with protein-coding genes as well as their involved in biological functions. For cancers, LncCE particularly provided quantitative figures for exhibiting their expression changes compared to control samples and clinical associations with patient overall survivals. Together, LncCE offers an extensive, quantitative and user-friendly interface to investigate cellular-elevated expression atlas for lncRNAs across normal and cancers tissues at single-cell level. The LncCE database is available at http://bio-bigdata.hrbmu.edu.cn/LncCE.

Citations
1
FWCI
0.31
Field percentile
top 48%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPrakrithi '26Luo '21Mihaljevic '24Guo '24Fan '23Dwivedi '25
69% semantic matchCancer Biology
P. Prakrithi, Tuan Vo, Zherui Xiong+10 more·Nature Methods·May 14, 2026· 7 citations