Evidence map›Paper›PMID 38052131›Full record

ReviewCurrent opinion in biotechnology2024

RNA-based controllers for engineering gene and cell therapies.

Kei Takahashi, Kate E Galloway

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

2 authors.

Kei TakahashiDepartment of Chemical Engineering, MIT, 25 Ames St., Cambridge, MA 02139, USA.
Kate E GallowayDepartment of Chemical Engineering, MIT, 25 Ames St., Cambridge, MA 02139, USA. Electronic address: katiegal@mit.edu.

Funding

Multiscale tools and approaches for understanding and engineering cell-fate transitionsR35GM143033 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GALLOWAY, KATE ELIZABETH · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM143033
6 · The paper itself

Abstract

Engineered RNA-based genetic controllers provide compact, tunable, post-transcriptional gene regulation. As RNA devices are generally small, these devices are portable to DNA and RNA viral vectors. RNA tools have recently expanded to allow reading and editing of endogenous RNAs for profiling and programming of transcriptional states. With their expanded capabilities and highly compact, modular, and programmable nature, RNA-based controllers will support greater safety, efficacy, and performance in gene and cell-based therapies. In this review, we highlight RNA-based controllers and their potential as user-guided and autonomous systems for control of gene and cell-based therapies.

Indexed as

Genetic EngineeringRNACell- and Tissue-Based TherapyCRISPR-Cas SystemsGene EditingGene Expression RegulationGenetic VectorsRNA

Identifiers

PMID38052131
PMCPMC11214845

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.