Evidence map›Paper›PMID 36334445›Full record

ReviewCurrent opinion in biotechnology2022

Emerging technologies for genetic control systems in cellular therapies.

Jacopo de Rossi, Yafet Arefeayne, Ashley Robinson, Laura Segatori

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

4 authors at 1 institution in 1 country.

Jacopo de RossiSystems, Synthetic, and Physical Biology, Rice University, Houston, United States.
Yafet ArefeayneDepartment of Bioengineering, Rice University, Houston, United States.
Ashley RobinsonSystems, Synthetic, and Physical Biology, Rice University, Houston, United States.
Laura SegatoriSystems, Synthetic, and Physical Biology, Rice University, Houston, United States; Department of Bioengineering, Rice University, Houston, United States; Department of Chemical and Biomolecular Engineering, Rice University, Houston, United States; Department of Biosciences, Rice University, Houston, United States. Electronic address: segatori@rice.edu.
Rice University · US

Funding

Engineering mammalian gene activity sensor-actuator devicesR01EB030030 · NIBIB · RICE UNIVERSITY · PI SEGATORI, LAURA · 2021 to 2024
$1.4M
NIBIB NIH HHS R01 EB030030
6 · The paper itself

Abstract

Progress in synthetic biology has enabled the construction of designer cells that sense biological inputs, and, in response, activate user-defined biomolecular programs. Such engineered cells provide unique opportunities for treating a wide variety of diseases. Current strategies mostly rely on cell-surface receptor systems engineered to convert binding interactions into activation of a transcriptional program. Genetic control systems are emerging as an appealing alternative to receptor-based sensors as they overcome the need for receptor engineering and result in cellular behaviors that operate over therapeutically relevant timescales. Genetic control systems include synthetic gene networks, RNA-based sensors, and post-translational tools. These technologies present fundamental challenges, including the requirement for precise integration with innate pathways, the need for parts orthogonal to existing circuitries, and the metabolic burden induced by such complex cell engineering endeavors. This review discusses the challenges in the design of genetic control systems for cellular therapies and their translational applications.

Indexed as

Cell- and Tissue-Based TherapySynthetic BiologyCell EngineeringGene Regulatory NetworksGenetic EngineeringProtein Processing, Post-Translational

Identifiers

PMID36334445
PMCPMC10091305
OpenAlexW4308100351

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.