Evidence map›Paper›PMID 28060263›Full record

ArticleJournal of visualized experiments : JoVE2016

Inducible LAP-tagged Stable Cell Lines for Investigating Protein Function, Spatiotemporal Localization and Protein Interaction Networks.

Michelle Bradley, Ivan Ramirez, Keith Cheung, Ankur A Gholkar, Jorge Z Torres

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.2field-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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Human REXO4 is Required for Cell Cycle Progression.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Dissecting the mechanisms of cell division.The Journal of biological chemistry · 2019
    Review
  8. 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 2 institutions in 1 country.

Michelle BradleyDepartment of Chemistry and Biochemistry, University of California, Los Angeles.
Ivan RamirezDepartment of Chemistry and Biochemistry, University of California, Los Angeles.
Keith CheungDepartment of Chemistry and Biochemistry, University of California, Los Angeles.
Ankur A GholkarDepartment of Chemistry and Biochemistry, University of California, Los Angeles.
Jorge Z TorresDepartment of Chemistry and Biochemistry, University of California, Los Angeles; Molecular Biology Institute, University of California, Los Angeles; Jonsson Comprehensive Cancer Center, University of California, Los Angeles; torres@chem.ucla.edu.
University of California, Los Angeles · USUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-protein complexes, rather than single proteins acting in isolation, often govern molecular pathways regulating cellular homeostasis. Based on this principle, the purification of critical proteins required for the functioning of these pathways along with their native interacting partners has not only allowed the mapping of the protein constituents of these pathways, but has also provided a deeper understanding of how these proteins coordinate to regulate these pathways. Within this context, understanding a protein's spatiotemporal localization and its protein-protein interaction network can aid in defining its role within a pathway, as well as how its misregulation may lead to disease pathogenesis. To address this need, several approaches for protein purification such as tandem affinity purification (TAP) and localization and affinity purification (LAP) have been designed and used successfully. Nevertheless, in order to apply these approaches to pathway-scale proteomic analyses, these strategies must be supplemented with modern technological developments in cloning and mammalian stable cell line generation. Here, we describe a method for generating LAP-tagged human inducible stable cell lines for investigating protein subcellular localization and protein-protein interaction networks. This approach has been successfully applied to the dissection of multiple cellular pathways including cell division and is compatible with high-throughput proteomic analyses.

Indexed as

Cell LineChromatography, AffinityProtein Interaction MappingAnimalsGenetic VectorsHumansProteinsProteomicsProteins

Identifiers

PMID28060263
PMCPMC5226453
OpenAlexW2566212845

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.