Evidence map›Paper›PMID 26492140›Full record

ArticleNature protocols2015

Efficient delivery of nuclease proteins for genome editing in human stem cells and primary cells.

Jia Liu, Thomas Gaj, Yifeng Yang, Nan Wang, Sailan Shui, Sojung Kim, Chidananda Nagamangala Kanchiswamy, Jin-Soo Kim, Carlos F Barbas

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
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

70 citing papers in PubMed, 128 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Progress and Perspective of CRISPR-Cas9 Technology in Translational Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  8. mRNA-based cancer therapeutics.Nature reviews. Cancer · 2023
    Review
  9. TAxI-peptide targeted Cas12a ribonuclease protein nanoformulations increase genome editing in hippocampal neurons.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Article
  10. Article
  11. Functional genomics in stem cell models: considerations and applications.Frontiers in cell and developmental biology · 2023
    Review
  12. Precision diagnostics in children.Cambridge prisms. Precision medicine · 2023
    Review
  13. Article
  14. Review
  15. Article
  16. Semi-Implantable Bioelectronics.Nano-micro letters · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Review

10 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

9 authors at 4 institutions in 4 countries.

Jia LiuShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Thomas GajThe Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California, USA.
Yifeng YangShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Nan WangShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Sailan ShuiShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Sojung KimCenter for Genome Engineering, Institute for Basic Science, Seoul, South Korea.
Chidananda Nagamangala KanchiswamyDepartment of Genomics and Biology of Fruit Crop, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, Italy.
Jin-Soo KimCenter for Genome Engineering, Institute for Basic Science, Seoul, South Korea.
Carlos F BarbasThe Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California, USA.
ShanghaiTech University · CNInstitute for Basic Science · KRScripps Research Institute · USFondazione Edmund Mach · IT

Funding

Chemically Programmed ImmunityDP1CA174426 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI DAWSON, PHILIP E · 2012 to 2014
$2.3M
NCI NIH HHS DP1CA174426
6 · The paper itself

Abstract

Targeted nucleases, including zinc-finger nucleases (ZFNs), transcription activator-like (TAL) effector nucleases (TALENs) and clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9), have provided researchers with the ability to manipulate nearly any genomic sequence in human cells and model organisms. However, realizing the full potential of these genome-modifying technologies requires their safe and efficient delivery into relevant cell types. Unlike methods that rely on expression from nucleic acids, the direct delivery of nuclease proteins to cells provides rapid action and fast turnover, leading to fewer off-target effects while maintaining high rates of targeted modification. These features make nuclease protein delivery particularly well suited for precision genome engineering. Here we describe procedures for implementing protein-based genome editing in human embryonic stem cells and primary cells. Protocols for the expression, purification and delivery of ZFN proteins, which are intrinsically cell-permeable; TALEN proteins, which can be internalized via conjugation with cell-penetrating peptide moieties; and Cas9 ribonucleoprotein, whose nucleofection into cells facilitates rapid induction of multiplexed modifications, are described, along with procedures for evaluating nuclease protein activity. Once they are constructed, nuclease proteins can be expressed and purified within 6 d, and they can be used to induce genomic modifications in human cells within 2 d.

Indexed as

Cells, CulturedGene TargetingHumansMolecular BiologyProtein TransportRecombinasesStem CellsRecombinases

Identifiers

PMID26492140
OpenAlexW2173968248

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.