Evidence map›Paper›PMID 25079425›Full record

ArticleNature protocols2014

In-cell ¹³C NMR spectroscopy for the study of intrinsically disordered proteins.

Isabella C Felli, Leonardo Gonnelli, Roberta Pierattelli

Abstract read
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In one paragraph

Article in Nature protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
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  7. Chemical reviews · 2022
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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

3 authors at 1 institution in 1 country.

Isabella C FelliMagnetic Resonance Center (CERM), Department of Chemistry 'Ugo Schiff', University of Florence, Sesto Fiorentino, Italy.
Leonardo GonnelliMagnetic Resonance Center (CERM), Department of Chemistry 'Ugo Schiff', University of Florence, Sesto Fiorentino, Italy.
Roberta PierattelliMagnetic Resonance Center (CERM), Department of Chemistry 'Ugo Schiff', University of Florence, Sesto Fiorentino, Italy.ORCID 0000000177550885
Interuniversity Consortium for Magnetic Resonance · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of proteins carry out their function in highly flexible and disordered states, lacking a well-defined 3D structure. These proteins, referred to as intrinsically disordered proteins (IDPs), are now in the spotlight of modern structural biology. Nuclear magnetic resonance (NMR) spectroscopy represents a unique tool for accessing atomic resolution information on IDPs in complex environments as whole cells, provided that the methods are optimized to their peculiar properties and to the characteristics of in-cell experiments. We describe procedures for the preparation of in-cell NMR samples, as well as for the setup of NMR experiments and their application to in-cell studies, using human α-synuclein overexpressed in Escherichia coli as an example. The expressed protein is labeled with (13)C and (15)N stable isotopes to enable the direct recording of (13)C-detected NMR experiments optimized for the properties of IDPs. The entire procedure covers 24 h, including cell transformation, cell growth overnight, setup of the spectrometer and NMR experiment recording.

Indexed as

Carbon Isotopesalpha-SynucleinChemistry Techniques, AnalyticalEscherichia coliHumansIntrinsically Disordered ProteinsMolecular StructureNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularSensitivity and Specificityalpha-SynucleinCarbon IsotopesIntrinsically Disordered ProteinsNitrogen Isotopes

Identifiers

PMID25079425
OpenAlexW1975901192

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.