ArticleMethods in molecular biology (Clifton, N.J.)2022
Image-Based Single-Molecule Analysis of Notch-Dependent Transcription in Its Natural Context.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Whole-organism spatial transcriptomics at single-cell resolution inbioRxiv : the preprint server for biology · 2026Article
- Aging disrupts spatiotemporal regulation of germline stem cells and niche integrity.Biology open · 2024Article
- Mechanochemical feedback loops in contact-dependent fate patterning.Current opinion in systems biology · 2023Review
- Analysis of the C. elegans Germline Stem Cell Pool.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Notch-dependent DNA cis-regulatory elements and their dose-dependent control of C. elegans stem cell self-renewal.Development (Cambridge, England) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Notch signaling is crucial to animal development and homeostasis. Notch triggers the transcription of its target genes, which produce diverse outcomes depending on context. The high resolution and spatially precise assessment of Notch-dependent transcription is essential for understanding how Notch operates normally in its native context in vivo and how Notch defects lead to pathogenesis. Here we present biological and computational methods to assess Notch-dependent transcriptional activation in stem cells within their niche, focusing on germline stem cells in the nematode Caenorhabditis elegans. Specifically, we describe visualization of single RNAs in fixed gonads using single-molecule RNA fluorescence in situ hybridization (smFISH), live imaging of transcriptional bursting in the intact organism using the MS2 system, and custom-made MATLAB codes, implementing new image processing algorithms to capture the spatiotemporal patterns of Notch-dependent transcriptional activation. These methods allow a powerful analysis of in vivo transcriptional activation and its dynamics in a whole tissue. Our methods can be adapted to essentially any tissue or cell type for any transcript.
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Registered trials
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