Evidence map›Paper›PMID 32478125›Full record

ArticleMolecular therapy. Methods & clinical development2020

Increasing CRISPR Efficiency and Measuring Its Specificity in HSPCs Using a Clinically Relevant System.

Jenny Shapiro, Ortal Iancu, Ashley M Jacobi, Matthew S McNeill, Rolf Turk, Garrett R Rettig, Ido Amit, Adi Tovin-Recht, Zohar Yakhini, Mark A Behlke and 1 more

Abstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. A guide RNA repeat checkpoint steers CRISPR-Cas9 catalysis.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. An improved approach to generate IL-15Cell reports methods · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

11 authors.

Jenny ShapiroInstitute of Nanotechnology and Advanced Materials, The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 5290002, Israel.
Ortal IancuInstitute of Nanotechnology and Advanced Materials, The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 5290002, Israel.
Ashley M JacobiIntegrated DNA Technologies, Coralville, IA 52241, USA.
Matthew S McNeillIntegrated DNA Technologies, Coralville, IA 52241, USA.
Rolf TurkIntegrated DNA Technologies, Coralville, IA 52241, USA.
Garrett R RettigIntegrated DNA Technologies, Coralville, IA 52241, USA.
Ido AmitDepartment of Computer Science, Interdisciplinary Center, Herzliya 4610101, Israel.
Adi Tovin-RechtInstitute of Nanotechnology and Advanced Materials, The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 5290002, Israel.
Zohar YakhiniDepartment of Computer Science, Interdisciplinary Center, Herzliya 4610101, Israel.
Mark A BehlkeIntegrated DNA Technologies, Coralville, IA 52241, USA.
Ayal HendelInstitute of Nanotechnology and Advanced Materials, The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 5290002, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome editing of human cluster of differentiation 34

Indexed as

CD34+ hematopoietic stem and progenitor cellschemically modified guide RNAsCRISPR-Cas9genome editingoff-target sites

Identifiers

PMID32478125
PMCPMC7251314

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.