FISH-quant: automatic counting of transcripts in 3D FISH images

Abstract : Transcription is inherently stochastic even in clonal cell populations 1. Studies at single-cell-single-molecule level enable a quantitative understanding of the underlying regulatory mechanisms 2,3. A widely used technique is single-molecule RNA fluorescence in-situ hybridization (FISH), in which fluorescent probes target the mRNA of interest and individual molecules appear as bright diffraction-limited spots (Fig. 1a,b) 3. Recent experimental progress makes FISH easy to use 4 , but a dedicated image analysis tool is currently missing. Available methods allow counting of isolated mature mRNAs but cannot reliably quantify the dense mRNA aggregates at transcription sites (TS) in three dimensions (3D), particularly of highly transcribing genes 4. We developed FISH-QUANT to close this gap (Supplementary Note 1)
Type de document :
Article dans une revue
Nature Methods, Nature Publishing Group, 2013, 10 (4), pp.277 - 278. 〈10.1038/nmeth.2406〉
Liste complète des métadonnées

Littérature citée [26 références]  Voir  Masquer  Télécharger

https://hal-pasteur.archives-ouvertes.fr/pasteur-01622707
Contributeur : Florian Mueller <>
Soumis le : mardi 24 octobre 2017 - 15:55:10
Dernière modification le : lundi 11 juin 2018 - 16:46:01
Document(s) archivé(s) le : jeudi 25 janvier 2018 - 13:35:09

Licence


Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales 4.0 International License

Identifiants

Collections

Citation

Florian Mueller, Adrien Senecal, Katjana Tantale, Hervé Marie-Nelly, Nathalie Ly, et al.. FISH-quant: automatic counting of transcripts in 3D FISH images. Nature Methods, Nature Publishing Group, 2013, 10 (4), pp.277 - 278. 〈10.1038/nmeth.2406〉. 〈pasteur-01622707〉

Partager

Métriques

Consultations de la notice

182

Téléchargements de fichiers

88