Dataset Information

Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution.

ABSTRACT: Long non-coding RNAs (lncRNAs) have been implicated in diverse biological processes. In contrast to extensive genomic annotation of lncRNA transcripts, far fewer have been characterized for subcellular localization and cell-to-cell variability. Addressing this requires systematic, direct visualization of lncRNAs in single cells at single-molecule resolution.We use single-molecule RNA-FISH to systematically quantify and categorize the subcellular localization patterns of a representative set of 61 lncRNAs in three different cell types. Our survey yields high-resolution quantification and stringent validation of the number and spatial positions of these lncRNA, with an mRNA set for comparison. Using this highly quantitative image-based dataset, we observe a variety of subcellular localization patterns, ranging from bright sub-nuclear foci to almost exclusively cytoplasmic localization. We also find that the low abundance of lncRNAs observed from cell population measurements cannot be explained by high expression in a small subset of 'jackpot' cells. Additionally, nuclear lncRNA foci dissolve during mitosis and become widely dispersed, suggesting these lncRNAs are not mitotic bookmarking factors. Moreover, we see that divergently transcribed lncRNAs do not always correlate with their cognate mRNA, nor do they have a characteristic localization pattern.Our systematic, high-resolution survey of lncRNA localization reveals aspects of lncRNAs that are similar to mRNAs, such as cell-to-cell variability, but also several distinct properties. These characteristics may correspond to particular functional roles. Our study also provides a quantitative description of lncRNAs at the single-cell level and a universally applicable framework for future study and validation of lncRNAs.

SUBMITTER: Cabili MN

PROVIDER: S-EPMC4369099 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature

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Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution.

Cabili Moran N MN Dunagin Margaret C MC McClanahan Patrick D PD Biaesch Andrew A Padovan-Merhar Olivia O Regev Aviv A Rinn John L JL Raj Arjun A

Genome biology 20150129

<h4>Background</h4>Long non-coding RNAs (lncRNAs) have been implicated in diverse biological processes. In contrast to extensive genomic annotation of lncRNA transcripts, far fewer have been characterized for subcellular localization and cell-to-cell variability. Addressing this requires systematic, direct visualization of lncRNAs in single cells at single-molecule resolution.<h4>Results</h4>We use single-molecule RNA-FISH to systematically quantify and categorize the subcellular localization pa ...[more]

PMID: 25630241

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Project description:Long noncoding RNAs (lncRNAs) have emerged as key players in different cellular processes and are required for diverse functions in vivo. However, fundamental aspects of lncRNA biology remain poorly characterized, including their subcellular localization, abundance and variation at a single cell resolution. Here, we used single molecule, single-cell RNA fluorescence in situ hybridization (RNA FISH) to survey 61 lncRNAs, chosen by properties such as conservation, tissue specific expression, and expression abundance, and to catalog their abundance and cellular localization patterns in three human cell types. Our lncRNAs displayed diverse sub-cellular localization patterns ranging from strictly nuclear localization to almost exclusive cytoplasmic localization, with the majority localized primarily in the nucleus. The low abundance of these lncRNAs as measured in bulk cell populations cannot be explained by high expression in a small subset of 'jackpot' cells. Simultaneous analysis of lncRNAs and mRNAs from corresponding divergently transcribed loci showed that divergent lncRNAs do not present a distinct localization pattern and are not always co-regulated with their neighbor. Overall, our study highlights important differences and similarities between lncRNAs and mRNAs. The rich set of localization patterns we observe are consistent with a broad range of potential functions for lncRNA, and assists in hypothesis generation for mechanistic studies. Here we provide the RNA-Seq expression matrix, as well as RNA-Seq raw data, which we used for comparison with RNA FISH molecule counts. We estimate FPKM of coding genes and lncRNAs across HeLa, human lung fibroblasts and human foreskin. This study includes data from human foreskin fibroblasts (hFF), human lung fibroblasts (hLF), and HeLa cells. An hFF sample (GSM1376178) and the hLF samples (GSM1376175-GSM1376177) were previously submitted and are available in GSE30554 as GSM759893 and GSM759890-GSM759892, respectively. The HeLa samples (GSM591670-GSM591671) were previously submitted and are available in GSE23316. The complete dataset representing: (1) the hFF Samples, including the re-analysis of the hFF Sample from GSE30554, (2) the re-analysis of the hLF Samples from GSE30554, and (3) the re-analysis of the HeLa Samples from GSE23316, is linked below as a supplementary file.

Dataset Information

Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution.

Publications

Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution.

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