Evidence map›Paper›PMID 34099172›Full record

ArticleMethods in enzymology2021

SARS-CoV-2 3a expression, purification, and reconstitution into lipid nanodiscs.

David M Kern, Stephen G Brohawn

Open access · goldAbstract read
In one paragraph

Article in Methods in enzymology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

David M KernDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, United States; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, United States; California Institute for Quantitative Biology (QB3), University of California Berkeley, Berkeley, CA, United States.
Stephen G BrohawnDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, United States; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, United States; California Institute for Quantitative Biology (QB3), University of California Berkeley, Berkeley, CA, United States. Electronic address: brohawn@berkeley.edu.
QB3 · US

Funding

New approaches to understanding biological force sensationDP2GM123496 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BROHAWN, STEPHEN GRAF · 2016 to 2016
$2.4M
Structural and mechanistic basis of cellular volume controlF32GM128263 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI KERN, DAVID MATTHEW · 2019 to 2020
$133k
NIGMS NIH HHS DP2 GM123496NIGMS NIH HHS F32 GM128263
6 · The paper itself

Abstract

The SARS-CoV-2 3a protein is a putative ion channel implicated in virus life cycle and pathogenesis. We recently expressed, purified, and reconstituted 3a into lipid nanodiscs to solve its structure by cryo-EM to 2.1Å resolution. In this chapter, we describe methods we developed in order to facilitate the study of this protein in other laboratories. We emphasize factors that enabled rapid progression from gene sequence to reconstituted protein (3 weeks in the case of 3a) and provide general observations and tips for adapting these protocols to other membrane proteins of interest.

Indexed as

NanostructuresIon ChannelsLipid BilayersSARS-CoV-2Viral Envelope ProteinsViroporin Proteins3a protein, SARS-CoVIon ChannelsLipid BilayersViral Envelope ProteinsViroporin ProteinsInsect cell expressionIon channelMembrane protein purificationMembrane protein reconstitutionNanodiscSARS-CoV-2

Identifiers

PMID34099172
PMCPMC7839409
OpenAlexW3123382359

What OpenQuestion holds

Textmetadata
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.