Evidence map›Paper›PMID 21371586›Full record

ArticleMethods in enzymology2011

Preparation of protein samples for NMR structure, function, and small-molecule screening studies.

Thomas B Acton, Rong Xiao, Stephen Anderson, James Aramini, William A Buchwald, Colleen Ciccosanti, Ken Conover, John Everett, Keith Hamilton, Yuanpeng Janet Huang and 19 more

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
21.2field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 98 citations in OpenAlex.

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  14. In-cell Solid-State NMR Studies of Antimicrobial Peptides.Frontiers in medical technology · 2020
    Review
  15. Article
  16. TheThe Journal of biological chemistry · 2019
    Article
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8 more citing papers are in PubMed but not listed here.

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

29 authors at 2 institutions in 1 country.

Thomas B ActonCenter for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey, USA.
Rong Xiao
Stephen Anderson
James Aramini
William A Buchwald
Colleen Ciccosanti
Ken Conover
John Everett
Keith Hamilton
Yuanpeng Janet Huang
Haleema Janjua
Gregory Kornhaber
Jessica Lau
Dong Yup Lee
Gaohua Liu
Melissa Maglaqui
Lichung Ma
Lei Mao
Dayaban Patel
Paolo Rossi
Seema Sahdev
Ritu Shastry
G V T Swapna
Yeufeng Tang
Saichiu Tong
Dongyan Wang
Huang Wang
Li Zhao
Gaetano T Montelione
Rutgers, The State University of New Jersey · USJoint Center for Structural Genomics · US

Funding

Sub-project 9U54GM074958 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MONTELIONE, GAETANO T · 2005 to 2009
$56.6M
University of Georgia ProjectU54GM094597 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI MONTELIONE, GAETANO T · 2010 to 2014
$36.9M
NIGMS NIH HHS U54 GM074958NIGMS NIH HHS U54-GM074958NIGMS NIH HHS U54 GM094597NIGMS NIH HHS U54-GM094597
6 · The paper itself

Abstract

In this chapter, we concentrate on the production of high-quality protein samples for nuclear magnetic resonance (NMR) studies. In particular, we provide an in-depth description of recent advances in the production of NMR samples and their synergistic use with recent advancements in NMR hardware. We describe the protein production platform of the Northeast Structural Genomics Consortium and outline our high-throughput strategies for producing high-quality protein samples for NMR studies. Our strategy is based on the cloning, expression, and purification of 6×-His-tagged proteins using T7-based Escherichia coli systems and isotope enrichment in minimal media. We describe 96-well ligation-independent cloning and analytical expression systems, parallel preparative scale fermentation, and high-throughput purification protocols. The 6×-His affinity tag allows for a similar two-step purification procedure implemented in a parallel high-throughput fashion that routinely results in purity levels sufficient for NMR studies (>97% homogeneity). Using this platform, the protein open reading frames of over 17,500 different targeted proteins (or domains) have been cloned as over 28,000 constructs. Nearly 5000 of these proteins have been purified to homogeneity in tens of milligram quantities (see Summary Statistics, http://nesg.org/statistics.html), resulting in more than 950 new protein structures, including more than 400 NMR structures, deposited in the Protein Data Bank. The Northeast Structural Genomics Consortium pipeline has been effective in producing protein samples of both prokaryotic and eukaryotic origin. Although this chapter describes our entire pipeline for producing isotope-enriched protein samples, it focuses on the major updates introduced during the last 5 years (Phase 2 of the National Institute of General Medical Sciences Protein Structure Initiative). Our advanced automated and/or parallel cloning, expression, purification, and biophysical screening technologies are suitable for implementation in a large individual laboratory or by a small group of collaborating investigators for structural biology, functional proteomics, ligand screening, and structural genomics research.

Indexed as

Cloning, MolecularComputational BiologyEscherichia coliEscherichia coli ProteinsFermentationGenomicsIsotope LabelingNuclear Magnetic Resonance, BiomolecularPlant ProteinsProteinsProteomicsSmall Molecule LibrariesTriticumEscherichia coli ProteinsPlant ProteinsProteinsSmall Molecule Libraries

Identifiers

PMID21371586
PMCPMC4110644
OpenAlexW159622809

What OpenQuestion holds

Textmetadata
LicenceTDM
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.