The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Automated microscopy for high-content RNAi screening
Open accessAbstract
Fluorescence microscopy is one of the most powerful tools to investigate complex cellular processes such as cell division, cell motility, or intracellular trafficking. The availability of RNA interference (RNAi) technology and automated microscopy has opened the possibility to perform cellular imaging in functional genomics and other large-scale applications. Although imaging often dramatically increases the content of a screening assay, it poses new challenges to achieve accurate quantitative annotation and therefore needs to be carefully adjusted to the specific needs of individual screening applications. In this review, we discuss principles of assay design, large-scale RNAi, microscope automation, and computational data analysis. We highlight strategies for imaging-based RNAi screening adapted to different library and assay designs.
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
Textural Features for Image Classification
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886
Zhang, J.-H., Chung, T. D. Y., & Oldenburg, K. R. (1999) · SLAS Discovery · doi:10.1177/108705719900400206 · Cited by 6,847
From molecular to modular cell biology.
Hartwell, L. H., Hopfield, J. J., Leibler, S., & Murray, A. W. (1999) · Nature · doi:10.1038/35011540 · Cited by 3,632
Identification of host proteins required for HIV infection through a functional genomic screen
Brass, A. L., Dykxhoorn, D. M., Benita, Y., Yan, N., Engelman, A., Xavier, R. J., Lieberman, J., & Elledge, S. J. (2008) · Science · doi:10.1126/science.1152725 · Cited by 1,449
3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets
Birmingham, A., Anderson, E. M., Reynolds, A., Ilsley-Tyree, D., Leake, D., Fedorov, Y., Baskerville, S., Maksimova, E., Robinson, K., Karpilow, J., et al. (2006) · Nature Methods · doi:10.1038/nmeth854 · Cited by 920
King, R. D., Rowland, J., Oliver, S. G., Young, M., Aubrey, W., Byrne, E., Liakata, M., Markham, M., Pir, P., Soldatova, L. N., et al. (2009) · Science · doi:10.1126/science.1165620 · Cited by 679
Multidimensional Drug Profiling By Automated Microscopy
Perlman, Z. E., Slack, M. D., Feng, Y., Mitchison, T. J., Wu, L. F., & Altschuler, S. J. (2004) · Science · doi:10.1126/science.1100709 · Cited by 660
Identification of Cholesterol-Regulating Genes by Targeted RNAi Screening
Bartz, F., Kern, L., Erz, D., Zhu, M., Gilbert, D., Meinhof, T., Wirkner, U., Erfle, H., Muckenthaler, M., Pepperkok, R., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.05.009 · Cited by 198
Cited by
Cell death assays for drug discovery
Kepp, O., Galluzzi, L., Lipinski, M., Yuan, J., & Kroemer, G. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3373 · Cited by 558
SiR–Hoechst is a far-red DNA stain for live-cell nanoscopy
Lukinavičius, G., Blaukopf, C., Pershagen, E., Schena, A., Reymond, L., Derivery, E., Gonzalez-Gaitan, M., D’Este, E., Hell, S. W., Wolfram Gerlich, D., et al. (2015) · Nature Communications · doi:10.1038/ncomms9497 · Cited by 294
Metadata
- Authors
- Conrad, C., & Gerlich, D. W.
- Venue
- Journal of Cell Biology
- Publisher
- Rockefeller University Press
- Published
- 2010-02-22
- Volume
- 188
- Issue
- 4
- Pages
- 453-461
- ISSN
- 0021-9525 (ISSN-L)
- 1540-8140
- OpenAlex
- W2056022845
- Cited by
- 168
- References
- 8
- FWCI
- 12.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Automated microscopy for high-content RNAi screening. https://app.cochat.ai/papers/10.1083/jcb.200910105
- The paper
- Conrad, C., & Gerlich, D. W. (2010). Automated microscopy for high-content RNAi screening. Journal of Cell Biology. https://doi.org/10.1083/jcb.200910105
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.