Evidence map›Paper›PMID 36068175›Full record

ArticleChembiochem : a European journal of chemical biology2022

Bicyclic Caged Morpholino Oligonucleotides for Optical Gene Silencing.

Sankha Pattanayak, Bhagyesh R Sarode, Alexander Deiters, James K Chen

Open access · greenAbstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. ACS chemical biology · 2024
    Article
  2. Article
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 at 3 institutions in 1 country.

Sankha PattanayakDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Bhagyesh R SarodeDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Alexander DeitersDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID 0000-0003-0234-9209
James K ChenDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-9220-8436
Stanford University · USAssociated Press · USUniversity of Pittsburgh · US

Funding

Chemical tools for developmental biologyR35GM127030 · NIGMS · STANFORD UNIVERSITY · PI JAMES K CHEN · 2018 to 2026
$6.3M
Development of lariat-shaped caged morpholinos for optochemical gene regulationR01GM108952 · NIGMS · STANFORD UNIVERSITY · PI CHEN, JAMES K · 2014 to 2017
$1.7M
NIGMS NIH HHS R01 GM108952NIGMS NIH HHS R35 GM127030
6 · The paper itself

Abstract

Caged morpholino oligonucleotides (cMOs) are synthetic tools that allow light-inducible gene silencing in live organisms. Previously reported cMOs have utilized hairpin, duplex, and cyclic structures, as well as caged nucleobases. While these antisense technologies enable efficient optical control of RNA splicing and translation, they can have limited dynamic range. A new caging strategy was developed where the two MO termini are conjugated to an internal position through a self-immolative trifunctional linker, thereby generating a bicyclic cMO that is conformationally resistant to RNA binding. The efficacy of this alternative cMO design has been demonstrated in zebrafish embryos and compared to linear MOs and monocyclic constructs.

Indexed as

Gene SilencingZebrafishAnimalsMorpholinosMorpholinosantisense agentsmorpholino oligonucleotidesnucleic acidsphotoactivatablezebrafish

Identifiers

PMID36068175
PMCPMC9637763
OpenAlexW4295066084

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.