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High-throughput RNAi screening in cultured cells: a user's guide
Open accessAbstract
RNA interference has re-energized the field of functional genomics by enabling genome-scale loss-of-function screens in cultured cells. Looking back on the lessons that have been learned from the first wave of technology developments and applications in this exciting field, we provide both a user's guide for newcomers to the field and a detailed examination of some more complex issues, particularly concerning optimization and quality control, for more advanced users. From a discussion of cell lines, screening paradigms, reagent types and read-out methodologies, we explore in particular the complexities of designing optimal controls and normalization strategies for these challenging but extremely powerful studies.
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“High-throughput screening techniques that can generate large amounts of data are now common in many fields of biology”
From WILDS: A Benchmark of in-the-Wild Distribution Shifts (2020) · cites this paper as Echeverri and Perrimon, 2006
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Metadata
- Authors
- Echeverri, C. J., & Perrimon, N.
- Affiliations
- Cenix BioScience (Germany) (DE)
- Howard Hughes Medical Institute (US)
- ORCID
- Perrimon, Norbert
- Venue
- Nature Reviews Genetics
- Published
- 2006-04-11
- Volume
- 7
- Issue
- 5
- Pages
- 373-384
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W1968410036
- Cited by
- 380
- References
- 78
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 12 · 2023: 7 · 2022: 7 · 2021: 10 · 2020: 15 · 2019: 10 · 2018: 13 · 2017: 14 · 2016: 18 · 2015: 17 · 2014: 25 · 2013: 20 · 2012: 23
- FWCI
- 3.08
- Type
- journal article
- Language
- en
- Open access
- green
- nrs.harvard.edu
- Licence
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- RNA interference, high-throughput screening, loss-of-function screen, functional genomics, cell lines, screening optimization, quality control, normalization strategies, control system design
- MeSH terms
- Animals, Automation, Cells, Cultured, Drosophila melanogaster, Humans, Models, Biological, Phenotype, Quality Control, Gene Transfer Techniques, Gene Expression Profiling, RNA Interference, RNA, Small Interfering
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 ›
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