Systematic characterization of lncRNAs’ cell-to-cell expression heterogeneity in glioblastoma cells

摘要: // Dekang Lv 1, * , Xiang Wang Jun Dong 1 Yan Zhuang Shuyu Huang Binbin Ma 2 Puxiang Chen 3 Xiaodong Li Bo Zhang Zhiguang Bilian Jin Institute of Cancer Stem Cell, Center, Dalian Medical University, Dalian, 116044, Liaoning, P.R. China Department Neurosurgery, The Second Hospital 116023, Obstetrics and Gynecology, Xiangya Central South Changsha, 410011, Hunan, These authors have contributed equally to this work Correspondence to: Wang, e-mail: wangx6281@dmu.edu.cn Li, zhiguangli@dmu.edu.cn Jin, jinbilian@dmu.edu.cn Keywords: GBM, lncRNA, heterogeneity, single-cell RNA-seq, self-organizing map Received: November 11, 2015     Accepted: February 2016     Published: 23, 2016 ABSTRACT Glioblastoma (GBM) is the most common malignant adult brain tumor generally associated with high level cellular heterogeneity a dismal prognosis. Long noncoding RNAs (lncRNAs) are emerging as novel mediators tumorigenesis. Recently developed RNA-seq provides an unprecedented way for analysis cell-to-cell variability in lncRNA expression profiles. Here we comprehensively examined patterns 2,003 lncRNAs 380 cells from five primary GBMs two glioblastoma stem-like cell (GSC) lines. Employing maps, displayed landscape dynamics individual cells. Further analyses revealed heterogeneous nature abundance splicing patterns. Moreover, variation also ubiquitously present established GSC lines composed seemingly identical Through comparative corresponding differentiated cultures, defined stemness signature by set 31 differentially expressed lncRNAs, which can disclose gradients tumors. Additionally, based on known classifier molecular subtypes, each was found comprise representing four subtypes. Our systematic characterization lays foundation future efforts further understand function develop valuable biomarkers, enhance knowledge GBM biology.