Evidence map›Paper›PMID 33276494›Full record

ArticleProteomes2020

A Novel Proximity Biotinylation Assay Based on the Self-Associating Split GFP1-10/11.

Aditi S Kesari, Uma K Aryal, Douglas J LaCount

Open access · goldAbstract read
In one paragraph

Article in Proteomes, 2020. 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
0.3field-weighted citation impact, top 44% 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. Review
  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

3 authors at 1 institution in 1 country.

Aditi S KesariDepartment of Medicinal Chemistry and Molecular Pharmacology and the Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, West Lafayette, IN 47907, USA.
Uma K AryalBindley Bioscience Center, Department of Comparative Pathobiology and Purdue Proteomics Facility, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0003-4543-1536
Douglas J LaCountDepartment of Medicinal Chemistry and Molecular Pharmacology and the Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, West Lafayette, IN 47907, USA.
Purdue University West Lafayette · US

Funding

Virology BSL4 CoreP01AI120943 · NIAID · WASHINGTON UNIVERSITY · PI Gaya K. Amarasinghe · 2016 to 2026
$30.2M
Emerging virus-host cell protein interaction networksR01AI114814 · NIAID · PURDUE UNIVERSITY · PI DAVEY, ROBERT A, LACOUNT, DOUGLAS J. · 2015 to 2019
$3.5M
NIAID NIH HHS P01 AI120943NIAID NIH HHS R01 AI114814NIH HHS AI114814NIH HHS AI120943
6 · The paper itself

Abstract

Proximity biotinylation was developed to detect physiologically relevant protein-protein interactions in living cells. In this method, the protein of interest is tagged with a promiscuous biotin ligase, such as BioID or BioID2, which produces activated biotin that reacts with nearby proteins; these proteins can subsequently be purified and identified by mass spectrometry. Here we report a novel modification of this technique by combining it with a self-associating split-GFP system in which we exploit the high-affinity interaction between GFP1-10 and GFP11 to recruit BioID2 to the protein of interest. As a test case, we fused GFP11 to clathrin light chain (CLTB) and BioID2 to GFP1-10. Co-expression of GFP11-CLTB and BioID2-GFP1-10 yielded a green fluorescent complex that co-localized with clathrin heavy chain. To facilitate removal of non-specifically biotinylated proteins, we generated an inducible cell line expressing BioID2-GFP1-10. Proximity biotinylation in this cell line with GFP11-CLTB yielded a higher percentage of biologically relevant interactions than direct fusion of BioID2 to CLTB. Thus, this system can be used to monitor expression and localization of BioID bait proteins and to identify protein-protein interactions.

Indexed as

BioIDclathrinGFP11proximity biotinylationsplit-GFP

Identifiers

PMID33276494
PMCPMC7709110
OpenAlexW3109083360

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.