Evidence map›Paper›PMID 34278335›Full record

ArticleSTAR protocols2021

Protocol for nuclear export signal characterization of cGAS in mammalian cells.

Yu Huang, Myles McLean, Chen Liang, Fei Guo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 2 institutions in 2 countries.

Yu HuangNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for AIDS Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, P. R. China.
Myles McLeanMcGill University AIDS Centre, Lady Davis Institute, Jewish General Hospital, Montreal H3T 1E2, Canada.
Chen LiangMcGill University AIDS Centre, Lady Davis Institute, Jewish General Hospital, Montreal H3T 1E2, Canada.
Fei GuoNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for AIDS Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, P. R. China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJewish General Hospital · CA

Funding

CIHR CCI-132561
6 · The paper itself

Abstract

The cyclic GMP-AMP synthase (cGAS) is the principal DNA sensor, which binds DNA and triggers the type I interferon production. We used ISD45 or inactivated Vaccinia Virus (VACV) to stimulate cGAS and monitored cellular localization by immunofluorescence microscopy, Operetta high-content screening, and cytoplasmic/nuclear fractionation. LocNES server was used to predict cGAS nuclear export signal (NES) sequence and characterized the function by mutagenesis. This protocol provides a prototype of cGAS subcellular distribution or the identification of NES in other proteins. For complete details on the use and execution of this protocol, please refer to Sun et al. Sun et al. (2021).

Indexed as

AnimalsCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseGreen Fluorescent ProteinsHeLa CellsHumansMammalsMicroscopy, FluorescenceMolecular BiologyMutagenesisNuclear Export SignalsNucleotidyltransferasesVaccinia viruscGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate Synthaseenhanced green fluorescent proteinGreen Fluorescent ProteinsNuclear Export SignalsNucleotidyltransferasesCell BiologyImmunologyMolecular Biology

Identifiers

PMID34278335
PMCPMC8261000
OpenAlexW3180532026

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.