Evidence map›Paper›PMID 26000843›Full record

ReviewMolecular cell2015

Choosing the Right Tool for the Job: RNAi, TALEN, or CRISPR.

Michael Boettcher, Michael T McManus

Abstract readReview
In one paragraph

Review in Molecular cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
230citing papers in PubMed, 4 pooled it
–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

230 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. New Insights into the Mechanism of Insulin-like Peptide 3 (International journal of molecular sciences · 2025
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170 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

2 authors.

Michael BoettcherDepartment of Microbiology and Immunology, UCSF Diabetes Center, Keck Center for Noncoding RNA, University of California, San Francisco, San Francisco, CA 94143, USA.
Michael T McManusDepartment of Microbiology and Immunology, UCSF Diabetes Center, Keck Center for Noncoding RNA, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: michael.mcmanus@ucsf.edu.

Funding

Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
SidTI/2-dependent EC-RNA Biogenesis and UptalceU19CA179513 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCMANUS, MICHAEL T · 2013 to 2017
$8.3M
Bay Area Cancer Target Discovery and Development NetworkU01CA168370 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCCORMICK, FRANK PATRICK, MCMANUS, MICHAEL T · 2012 to 2016
$3.9M
Tracing Cell LineagesR01CA195770 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCMANUS, MICHAEL T · 2014 to 2018
$2.7M
Empiric deconvolution of functional RNA elementsR01GM110251 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ERLE, DAVID J, MCMANUS, MICHAEL T · 2014 to 2017
$2.2M
Unlocking the Hidden KinomeU01MH105028 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCMANUS, MICHAEL T · 2014 to 2016
$978k
NCI NIH HHS R01 CA195770NCI NIH HHS U01 CA168370NCI NIH HHS U01CA168370NCI NIH HHS U19 CA179513NIDDK NIH HHS DK063720NIGMS NIH HHS R01 GM110251NIMH NIH HHS U01 MH105028NIMH NIH HHS U01MH105028
6 · The paper itself

Abstract

The most widely used approach for defining gene function is to reduce or completely disrupt its normal expression. For over a decade, RNAi has ruled the lab, offering a magic bullet to disrupt gene expression in many organisms. However, new biotechnological tools--specifically CRISPR-based technologies--have become available and are squeezing out RNAi dominance in mammalian cell studies. These seemingly competing technologies leave research investigators with the question: "Which technology should I use in my experiment?" This review offers a practical resource to compare and contrast these technologies, guiding the investigator when and where to use this fantastic array of powerful tools.

Indexed as

RNA InterferenceAnimalsBiomedical ResearchBiotechnologyCRISPR-Cas SystemsDeoxyribonucleasesGenetic EngineeringHumansModels, GeneticDeoxyribonucleases

Identifiers

PMID26000843
PMCPMC4441801

What OpenQuestion holds

Textmetadata
LicenceTDM
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.