Evidence map›Paper›PMID 27908936›Full record

ReviewCold Spring Harbor perspectives in biology2016

Genome-Editing Technologies: Principles and Applications.

Thomas Gaj, Shannon J Sirk, Sai-Lan Shui, Jia Liu

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 1 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

166 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Ethics of Human Embryo Editing via CRISPR-Cas9 Technology: A Systematic Review of Ethical Arguments, Reasons, and Concerns.HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues · 2025
    Pooled it
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  6. Strategies to eliminate native T cell receptors for adoptive T cell therapies.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Review
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106 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

4 authors.

Thomas GajDepartment of Bioengineering, University of California, Berkeley, California 94720.
Shannon J SirkDepartment of Chemical Engineering, Stanford University, Stanford, California 94305.
Sai-Lan ShuiShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Jia LiuShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.

Funding

Therapeutic genome editing for amyotrophic lateral sclerosisF32GM113446 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI GAJ, THOMAS · 2015 to 2017
$125k
NIGMS NIH HHS F32 GM113446
6 · The paper itself

Abstract

Targeted nucleases have provided researchers with the ability to manipulate virtually any genomic sequence, enabling the facile creation of isogenic cell lines and animal models for the study of human disease, and promoting exciting new possibilities for human gene therapy. Here we review three foundational technologies-clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 9 (Cas9), transcription activator-like effector nucleases (TALENs), and zinc-finger nucleases (ZFNs). We discuss the engineering advances that facilitated their development and highlight several achievements in genome engineering that were made possible by these tools. We also consider artificial transcription factors, illustrating how this technology can complement targeted nucleases for synthetic biology and gene therapy.

Indexed as

Gene EditingAnimalsClustered Regularly Interspaced Short Palindromic RepeatsEndonucleasesHumansEndonucleases

Identifiers

PMID27908936
PMCPMC5131771

What OpenQuestion holds

Textmetadata
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.