LINC01013 Is a Determinant of Fibroblast Activation and Encodes a Novel Fibroblast-Activating Micropeptide

Myocardial fibrosis confers an almost threefold mortality risk in heart disease. There are no prognostic therapies and novel therapeutic targets are needed. Many thousands of unannotated small open reading frames (smORFs) have been identified across the genome with potential to produce micropeptides (< 100 amino acids). We sought to investigate the role of smORFs in myocardial fibroblast activation.Analysis of human cardiac atrial fibroblasts (HCFs) stimulated with profibrotic TGFβ1 using RNA sequencing (RNA-Seq) and ribosome profiling (Ribo-Seq) identified long intergenic non-coding RNA LINC01013 as TGFβ1 responsive and containing an actively translated smORF. Knockdown of LINC01013 using siRNA reduced expression of profibrotic markers at baseline and blunted their response to TGFβ1. In contrast, overexpression of a codon-optimised smORF invoked a profibrotic response comparable to that seen with TGFβ1 treatment, whilst FLAG-tagged peptide associated with the mitochondria.Together, these data support a novel LINC01013 smORF micropeptide-mediated mechanism of fibroblast activation. TGFβ1 stimulation of atrial fibroblasts induces expression of LINC01013, whose knockdown reduces fibroblast activation. Overexpression of a smORF contained within LINC01013 localises to mitochondria and activates fibroblasts.

Abstract P4-04-02: RNA-seq reveals functional lncRNAs associated with estrogen-receptor status in breast cancer

Background: Long non-coding RNAs (lncRNAs) are pervasively transcribed in the genome yet their role in human disease is not well understood. LncRNAs can have regulatory effects on coding mRNAs through a number of mechanisms, including repressing their sense-strand protein-coding partners. There is also emerging evidence that estrogen signaling affects the expression of a wide variety of non-coding functional RNA transcripts in addition to protein-coding transcripts. We performed an RNA-seq study to characterize changes in lncRNA expression and evaluate their association to estrogen receptor (ER) status and estrogen signaling.

Methods: We sequenced transcriptomes of core biopsy RNA from 45 breast tumors obtained from neoadjuvant clinical trials BrUOG 211A/211B. RNA was derived from biopsy samples obtained before exposure to run-in monotherapy with either nab-paclitaxel, bevacizumab or trastuzumab. Paired-end sequencing was performed using amplified total RNA with 74bp read length, yielding genome-wide transcriptomic data. Transcriptomic abundance and differential expression were estimated assuming Poisson-distributed read-counts. Paired-end sequence data was aligned to a lncRNA database containing 14,572 unique lncRNAs. Changes in relative abundance of lncRNA transcripts were tested for association with estrogen receptor status using the Wilcoxon rank-sum test. Expression levels of the ER-associated lncRNAs were investigated in RNA-seq data from ER-positive MCF7 cells in response to treatment with E2 and tamoxifen (3hr, 12 hr and a non-treated control). ER-responsive binding sites on or near the ER-associated lncRNAs were investigated in a ChIP-seq study in MCF7 cells following estrogen treatment. MCF7 cell-line RNA-seq and ChIP-seq data were obtained from publicly available Short Read Archive (ERX030990 and SRX113365) at NCBI.

Results: On average, in each patient 5000 lncRNAs were detectable. Expression of 22 lncRNAs were associated ER status (p&lt;0.05) in breast tumors. 17 of the 22 ER-associated lncRNAs were detectable in ER-positive MCF7 breast cancer cells and were all responsive to E2 (estradiol) treatment. Interestingly, all 17 lncRNAs showed significant downregulation (&gt; = 2 fold) upon tamoxifen treatment. To further evaluate the regulatory relationship between ER and the 22 lncRNAs, we identified the binding sites of ER in estrogen-treated MCF7 cells using ChIP-seq. We found that &gt;50% of the ER-associated lncRNAs had ER binding site either overlapping or neighboring the lncRNA.

Discussion: We have shown that lncRNA expression levels are associated with ER status in breast tumors. We have further established that they are estrogen-responsive with a majority being direct targets of ER using cell-line data. Further functional validation studies are ongoing. We are also exploring lncRNA-mRNA expression for coding partners of lncRNAs to identify coding/noncoding gene regulatory networks important in estrogen response. Understanding the regulatory effects of lncRNA expression opens up new opportunities for stratification and management of breast cancers.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P4-04-02.