Evidence map›Paper›PMID 33083762›Full record

ArticleiScience2020

Single-Chain Lanthanide Luminescence Biosensors for Cell-Based Imaging and Screening of Protein-Protein Interactions.

Ting Chen, Ha Pham, Ali Mohamadi, Lawrence W Miller

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. E3 Ubiquitin Ligase SPL2 Is a Lanthanide-Binding Protein.International journal of molecular sciences · 2021
    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

4 authors at 1 institution in 1 country.

Ting ChenDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, USA.
Ha PhamDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, USA.
Ali MohamadiDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, USA.
Lawrence W MillerDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, USA.
University of Illinois Chicago · US

Funding

Targeted lanthanide contrast agents for in cellulo single molecule imagingR01GM081030 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MILLER, LAWRENCE · 2008 to 2018
$2.5M
NIGMS NIH HHS R01 GM081030
6 · The paper itself

Abstract

Lanthanide-based, Förster resonance energy transfer (LRET) biosensors enabled sensitive, time-gated luminescence (TGL) imaging or multiwell plate analysis of protein-protein interactions (PPIs) in living cells. We prepared stable cell lines that expressed polypeptides composed of an alpha helical linker flanked by a Tb(III) complex-binding domain, GFP, and two interacting domains at each terminus. The PPIs examined included those between FKBP12 and the rapamycin-binding domain of m-Tor (FRB) and between p53 (1-92) and HDM2 (1-128). TGL microscopy revealed dramatic differences (>500%) in donor- or acceptor-denominated, Tb(III)-to-GFP LRET ratios between open (unbound) and closed (bound) states of the biosensors. We observed much larger signal changes (>2,500%) and Z'-factors of 0.5 or more when we grew cells in 96- or 384-well plates and analyzed PPI changes using a TGL plate reader. The modular design and exceptional dynamic range of lanthanide-based LRET biosensors will facilitate versatile imaging and cell-based screening of PPIs.

Indexed as

Biomolecular EngineeringMolecular InteractionMolecular Spectroscopy TechniquesSensor

Identifiers

PMID33083762
PMCPMC7509216
OpenAlexW3083332331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.