Evidence map›Paper›PMID 29860520›Full record

ArticleNucleic acids research2018

Specificity of RNAi, LNA and CRISPRi as loss-of-function methods in transcriptional analysis.

Lovorka Stojic, Aaron T L Lun, Jasmin Mangei, Patrice Mascalchi, Valentina Quarantotti, Alexis R Barr, Chris Bakal, John C Marioni, Fanni Gergely, Duncan T Odom

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed.

  1. Article
  2. Direct roles of long non-coding RNAs in transcription activation.Nature structural & molecular biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. SUMO conjugation to promoter-proximal sequence elements-associated proteins impacts on snRNA transcription.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Review
  13. Integrating datasets to dissectData in brief · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Long non-coding RNAs in retinal neovascularization: current research and future directions.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Review
  20. Review

13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lovorka StojicCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Aaron T L LunCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Jasmin MangeiCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Patrice MascalchiCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Valentina QuarantottiCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Alexis R BarrInstitute of Cancer Research, 237 Fulham Road London SW3 6JB, UK.
Chris BakalInstitute of Cancer Research, 237 Fulham Road London SW3 6JB, UK.
John C MarioniCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Fanni GergelyCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Duncan T OdomCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.

Funding

Cancer Research UK 17043Cancer Research UK 20146Cancer Research UK 20412Cancer Research UK 22231Cancer Research UK A20412European Research Council 615584Wellcome Trust 202878/Z/16/Z
6 · The paper itself

Abstract

Loss-of-function (LOF) methods such as RNA interference (RNAi), antisense oligonucleotides or CRISPR-based genome editing provide unparalleled power for studying the biological function of genes of interest. However, a major concern is non-specific targeting, which involves depletion of transcripts other than those intended. Little work has been performed to characterize the off-target effects of these common LOF methods at the whole-transcriptome level. Here, we experimentally compared the non-specific activity of RNAi, antisense oligonucleotides and CRISPR interference (CRISPRi). All three methods yielded non-negligible off-target effects in gene expression, with CRISPRi also exhibiting strong clonal effects. As an illustrative example, we evaluated the performance of each method for determining the role of an uncharacterized long noncoding RNA (lncRNA). Several LOF methods successfully depleted the candidate lncRNA but yielded different sets of differentially expressed genes as well as a different cellular phenotype upon depletion. Similar discrepancies between methods were observed with a protein-coding gene (Ch-TOG/CKAP5) and another lncRNA (MALAT1). We suggest that the differences between methods arise due to method-specific off-target effects and provide guidelines for mitigating such effects in functional studies. Our recommendations provide a framework with which off-target effects can be managed to improve functional characterization of genes of interest.

Indexed as

CRISPR-Cas SystemsGene Knockdown TechniquesOligonucleotidesOligonucleotides, AntisenseRNA InterferenceTranscription, GeneticGene Expression ProfilingHEK293 CellsHeLa CellsHumansProteinsRNA, Long Noncodinglocked nucleic acidOligonucleotidesOligonucleotides, AntisenseProteinsRNA, Long Noncoding

Identifiers

PMID29860520
PMCPMC6093183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.