Evidence map›Paper›PMID 37756605›Full record

ArticleJournal of cell science2023

Light-activated BioID - an optically activated proximity labeling system to study protein-protein interactions.

Omer Shafraz, Carolyn Marie Orduno Davis, Sanjeevi Sivasankar

Open access · hybridAbstract read
In one paragraph

Article in Journal of cell science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  5. The desmosome comes into focus.The Journal of cell biology · 2024
    Review
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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

3 authors at 1 institution in 1 country.

Omer ShafrazDepartment of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA.
Carolyn Marie Orduno DavisDepartment of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA.
Sanjeevi SivasankarDepartment of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0003-2593-0477
University of California, Davis · US

Funding

Microscope for ultrasensitive measurement of single-molecule interaction and conformationR01GM121885 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SIVASANKAR, SANJEEVI · 2017 to 2024
$2.5M
NIGMS NIH HHS R01 GM121885NIGMS NIH HHS R01GM121885NIH HHS R01GM121885
6 · The paper itself

Abstract

Proximity labeling with genetically encoded enzymes is widely used to study protein-protein interactions in cells. However, the accuracy of proximity labeling is limited by a lack of control over the enzymatic labeling process. Here, we present a light-activated proximity labeling technology for mapping protein-protein interactions at the cell membrane with high accuracy and precision. Our technology, called light-activated BioID (LAB), fuses the two halves of the split-TurboID proximity labeling enzyme to the photodimeric proteins CRY2 and CIB1. We demonstrate, in multiple cell lines, that upon illumination with blue light, CRY2 and CIB1 dimerize, reconstitute split-TurboID and initiate biotinylation. Turning off the light leads to the dissociation of CRY2 and CIB1 and halts biotinylation. We benchmark LAB against the widely used TurboID proximity labeling method by measuring the proteome of E-cadherin, an essential cell-cell adhesion protein. We show that LAB can map E-cadherin-binding partners with higher accuracy and significantly fewer false positives than TurboID.

Indexed as

CadherinsProteomeBiotinylationCell LineCadherinsProteomeE-cadherinLABMembrane proteinOptogeneticProximity labelingTurboID

Identifiers

PMID37756605
PMCPMC10656424
OpenAlexW4387087236

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.