Evidence map›Paper›PMID 32661424›Full record

ReviewNature methods2020

On the cutting edge: protease-based methods for sensing and controlling cell biology.

H Kay Chung, Michael Z Lin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. A programmable genetic platform for engineering noninvasive biosensors.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Post-Transcriptional Modular Synthetic Receptors.bioRxiv : the preprint server for biology · 2024
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Synthetic protein protease sensor platform.Frontiers in bioengineering and biotechnology · 2024
    Article
  18. Article
  19. Review
  20. 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 at 2 institutions in 1 country.

H Kay ChungDepartment of Neurobiology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7028-2432
Michael Z LinDepartment of Neurobiology, Stanford University, Stanford, CA, USA. mzlin@stanford.edu.ORCID http://orcid.org/0000-0002-0492-1961
Salk Institute for Biological Studies · USStanford University · US

Funding

Genetically encoded photoswitchable antibody mimetic proteins for spatiotemporal control of molecular recognitionR21GM132687 · NIGMS · STANFORD UNIVERSITY · PI LIN, MICHAEL Z. · 2019 to 2020
$399k
NIGMS NIH HHS R21 GM132687
6 · The paper itself

Abstract

Sequence-specific proteases have proven to be versatile building blocks for tools that report or control cellular function. Reporting methods link protease activity to biochemical signals, whereas control methods rely on engineering proteases to respond to exogenous inputs such as light or chemicals. In turn, proteases have inherent control abilities, as their native functions are to release, activate or destroy proteins by cleavage, with the irreversibility of proteolysis allowing sustained downstream effects. As a result, protease-based synthetic circuits have been created for diverse uses such as reporting cellular signaling, tuning protein expression, controlling viral replication and detecting cancer states. Here, we comprehensively review the development and application of protease-based methods for reporting and controlling cellular function in eukaryotes.

Indexed as

EukaryotaAmino Acid SequenceAnimalsCell CommunicationPeptide HydrolasesProteomicsPeptide Hydrolases

Identifiers

PMID32661424
OpenAlexW3041037755

What OpenQuestion holds

Textmetadata
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.