Evidence map›Paper›PMID 32522983›Full record

ArticleNature communications2020

Single molecule secondary structure determination of proteins through infrared absorption nanospectroscopy.

Francesco Simone Ruggeri, Benedetta Mannini, Roman Schmid, Michele Vendruscolo, Tuomas P J Knowles

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
–field-weighted citation impact
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

70 citing papers in PubMed.

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  17. An analytical model of label-free nanoscale chemical imaging reveals avenues toward improved spatial resolution and sensitivity.Proceedings of the National Academy of Sciences of the United States of America · 2025
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10 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

5 authors.

Francesco Simone RuggeriDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK. fsr26@cam.ac.uk.ORCID http://orcid.org/0000-0002-1232-1907
Benedetta ManniniDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.ORCID http://orcid.org/0000-0001-6812-7348
Roman SchmidDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.ORCID http://orcid.org/0000-0002-3616-1610
Tuomas P J KnowlesDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK. tpjk2@cam.ac.uk.ORCID http://orcid.org/0000-0002-7879-0140

Funding

Wellcome Trust
6 · The paper itself

Abstract

The chemical and structural properties of biomolecules determine their interactions, and thus their functions, in a wide variety of biochemical processes. Innovative imaging methods have been developed to characterise biomolecular structures down to the angstrom level. However, acquiring vibrational absorption spectra at the single molecule level, a benchmark for bulk sample characterization, has remained elusive. Here, we introduce off-resonance, low power and short pulse infrared nanospectroscopy (ORS-nanoIR) to allow the acquisition of infrared absorption spectra and chemical maps at the single molecule level, at high throughput on a second timescale and with a high signal-to-noise ratio (~10-20). This high sensitivity enables the accurate determination of the secondary structure of single protein molecules with over a million-fold lower mass than conventional bulk vibrational spectroscopy. These results pave the way to probe directly the chemical and structural properties of individual biomolecules, as well as their interactions, in a broad range of chemical and biological systems.

Indexed as

BiophysicsMolecular ConformationNanotechnologySpectrophotometry, Infrared

Identifiers

PMID32522983
PMCPMC7287102

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Registered trials

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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.