2018
DOI: 10.1038/s41467-018-06868-w
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A computational framework to study sub-cellular RNA localization

Abstract: RNA localization is a crucial process for cellular function and can be quantitatively studied by single molecule FISH (smFISH). Here, we present an integrated analysis framework to analyze sub-cellular RNA localization. Using simulated images, we design and validate a set of features describing different RNA localization patterns including polarized distribution, accumulation in cell extensions or foci, at the cell membrane or nuclear envelope. These features are largely invariant to RNA levels, work in multip… Show more

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Cited by 53 publications
(56 citation statements)
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“…Detection of RNA molecules was performed in the 3D image stacks using FISH-quant (Mueller et al, 2013). Positions of individual RNA molecules within dense clusters were determined with a recently developed approach using the signal of isolated RNAs to decompose these clusters (Samacoits et al, 2018). Post-processing to calculate the different location metrics was performed as described below with custom-written Matlab and Python code.…”
Section: Quantification Of Rna Clusteringmentioning
confidence: 99%
“…Detection of RNA molecules was performed in the 3D image stacks using FISH-quant (Mueller et al, 2013). Positions of individual RNA molecules within dense clusters were determined with a recently developed approach using the signal of isolated RNAs to decompose these clusters (Samacoits et al, 2018). Post-processing to calculate the different location metrics was performed as described below with custom-written Matlab and Python code.…”
Section: Quantification Of Rna Clusteringmentioning
confidence: 99%
“…Detection of RNA molecules was performed in the 3D image stacks with FISH-quant [Mueller et al, 2013]. Positions of individual RNA molecules within dense clusters, were determined with a recently developed approach using the signal of isolated RNAs to decompose these clusters [Samacoits et al, 2018]. Post-processing to calculate the different location metrics was performed as described below with custom written Matlab and Python code.…”
Section: Quantification Of Rna Clusteringmentioning
confidence: 99%
“…This method is based on tracking the target RNA with multiple short DNA probes, which are complementary to the target and are conjugated with a fluorescent dye [ 83 ]. For imaging intracellular localization of single RNA transcripts in fixed cells or tissues, FISH is still regarded as the gold-standard approach [ 84 , 85 ]. For live-cell imaging of the RNA of interest, stem-loop labeling and fluorescence protein tagging by the MS2-MCP system are useful [ 86 , 87 ].…”
Section: The Subcellular Localization and Stability Of Lncrnasmentioning
confidence: 99%