The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
smiFISH and FISH-quant – a flexible single RNA detection approach with super-resolution capability
Open accessAbstract
Single molecule FISH (smFISH) allows studying transcription and RNA localization by imaging individual mRNAs in single cells. We present smiFISH (single molecule inexpensive FISH), an easy to use and flexible RNA visualization and quantification approach that uses unlabelled primary probes and a fluorescently labelled secondary detector oligonucleotide. The gene-specific probes are unlabelled and can therefore be synthesized at low cost, thus allowing to use more probes per mRNA resulting in a substantial increase in detection efficiency. smiFISH is also flexible since differently labelled secondary detector probes can be used with the same primary probes. We demonstrate that this flexibility allows multicolor labelling without the need to synthesize new probe sets. We further demonstrate that the use of a specific acrydite detector oligonucleotide allows smiFISH to be combined with expansion microscopy, enabling the resolution of transcripts in 3D below the diffraction limit on a standard microscope. Lastly, we provide improved, fully automated software tools from probe-design to quantitative analysis of smFISH images. In short, we provide a complete workflow to obtain automatically counts of individual RNA molecules in single cells.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Spatially resolved, highly multiplexed RNA profiling in single cells
Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S., & Zhuang, X. (2015) · Science · doi:10.1126/science.aaa6090 · Cited by 2,969
Imaging individual mRNA molecules using multiple singly labeled probes
Raj, A., van den Bogaard, P., Rifkin, S. A., van Oudenaarden, A., & Tyagi, S. (2008) · Nature Methods · doi:10.1038/nmeth.1253 · Cited by 2,028
Localization of ASH1 mRNA Particles in Living Yeast
Bertrand, E., Chartrand, P., Schaefer, M., Shenoy, S. M., Singer, R. H., & Long, R. M. (1998) · Molecular Cell · doi:10.1016/s1097-2765(00)80143-4 · Cited by 1,622
Self-citationVisualization of Single RNA Transcripts in Situ
Femino, A. M., Fay, F. S., Fogarty, K., & Singer, R. H. (1998) · Science · doi:10.1126/science.280.5363.585 · Cited by 1,504
Chen, F., Tillberg, P. W., & Boyden, E. S. (2015) · Science · doi:10.1126/science.1260088 · Cited by 1,501
Kamentsky, L., Jones, T. R., Fraser, A., Bray, M.-A., Logan, D. J., Madden, K. L., Ljosa, V., Rueden, C., Eliceiri, K. W., & Carpenter, A. E. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr095 · Cited by 1,000
Analysis of focus measure operators for shape-from-focus
Pertuz, S., Puig, D., & Garcia, M. A. (2013) · Pattern Recognition · doi:10.1016/j.patcog.2012.11.011 · Cited by 765
In the right place at the right time: visualizing and understanding mRNA localization
Buxbaum, A. R., Haimovich, G., & Singer, R. H. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3918 · Cited by 612
BAC TransgeneOmics: a high-throughput method for exploration of protein function in mammals
Poser, I., Sarov, M., Hutchins, J. R. A., Hériché, J.-K., Toyoda, Y., Pozniakovsky, A., Weigl, D., Nitzsche, A., Hegemann, B., Bird, A. W., et al. (2008) · Nature Methods · doi:10.1038/nmeth.1199 · Cited by 603
Spatially resolved transcriptomics and beyond
Crosetto, N., Bienko, M., & van Oudenaarden, A. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3832 · Cited by 509
Cited by
P-Body Purification Reveals the Condensation of Repressed mRNA Regulons
Hubstenberger, A., Courel, M., Bénard, M., Souquere, S., Ernoult-Lange, M., Chouaib, R., Yi, Z., Morlot, J.-B., Munier, A., Fradet, M., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.09.003 · Cited by 787
Self-citationThe promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
Lein, E., Borm, L. E., & Linnarsson, S. (2017) · Science · doi:10.1126/science.aan6827 · Cited by 383
Moffitt, J. R., Hao, J., Bambah-Mukku, D., Lu, T., Dulac, C., & Zhuang, X. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617699113 · Cited by 308
Tian, T., Shu, B., Jiang, Y., Ye, M., Liu, L., Guo, Z., Han, Z., Wang, Z., & Zhou, X. (2021) · ACS Nano · doi:10.1021/acsnano.0c08165 · Cited by 328
Multiplexed imaging of high-density libraries of RNAs with MERFISH and expansion microscopy
Wang, G., Moffitt, J. R., & Zhuang, X. (2018) · Scientific Reports · doi:10.1038/s41598-018-22297-7 · Cited by 256
Metadata
- Authors
- Tsanov, N., Samacoits, A., Chouaib, R., Traboulsi, A.-M., Gostan, T., Weber, C., Zimmer, C., Zibara, K., Walter, T., Peter, M., Bertrand, E., & Mueller, F.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-09-05
- Volume
- 44
- Issue
- 22
- Pages
- e165-e165
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2513030033
- Cited by
- 447
- References
- 25
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: smiFISH and FISH-quant – a flexible single RNA detection approach with super-resolution capability. https://app.cochat.ai/papers/10.1093/nar/gkw784
- The paper
- Tsanov, N., Samacoits, A., Chouaib, R., Traboulsi, A.-M., Gostan, T., Weber, C., Zimmer, C., Zibara, K., Walter, T., Peter, M., Bertrand, E., & Mueller, F. (2016). smiFISH and FISH-quant – a flexible single RNA detection approach with super-resolution capability. Nucleic Acids Research. https://doi.org/10.1093/nar/gkw784
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.