Evidence map›Paper›PMID 33763602›Full record

ArticleSynthetic biology (Oxford, England)2021

A platform for post-translational spatiotemporal control of cellular proteins.

Brianna Jayanthi, Bhagyashree Bachhav, Zengyi Wan, Santiago Martinez Legaspi, Laura Segatori

Open access · goldAbstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2021. 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
0.6field-weighted citation impact, top 35% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Brianna JayanthiSystems, Synthetic and Physical Biology Graduate Program, Rice University, Houston, TX, USA.
Bhagyashree BachhavDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX, USA.
Zengyi WanDepartment of Bioengineering, Rice University, Houston, TX, USA.
Santiago Martinez LegaspiDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX, USA.
Laura SegatoriSystems, Synthetic and Physical Biology Graduate Program, Rice University, Houston, TX, USA.ORCID https://orcid.org/0000-0001-5749-5479
Rice University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammalian cells process information through coordinated spatiotemporal regulation of proteins. Engineering cellular networks thus relies on efficient tools for regulating protein levels in specific subcellular compartments. To address the need to manipulate the extent and dynamics of protein localization, we developed a platform technology for the target-specific control of protein destination. This platform is based on bifunctional molecules comprising a target-specific nanobody and universal sequences determining target subcellular localization or degradation rate. We demonstrate that nanobody-mediated localization depends on the expression level of the target and the nanobody, and the extent of target subcellular localization can be regulated by combining multiple target-specific nanobodies with distinct localization or degradation sequences. We also show that this platform for nanobody-mediated target localization and degradation can be regulated transcriptionally and integrated within orthogonal genetic circuits to achieve the desired temporal control over spatial regulation of target proteins. The platform reported in this study provides an innovative tool to control protein subcellular localization, which will be useful to investigate protein function and regulate large synthetic gene circuits.

Indexed as

degradationlocalizationmammalian genetic circuitsnanobodyorthogonal protein regulation

Identifiers

PMID33763602
PMCPMC7976946
OpenAlexW3127874952

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.