Evidence map›Paper›PMID 38987828›Full record

ArticleJournal of nanobiotechnology2024

An end-to-end approach for single-cell infrared absorption spectroscopy of bacterial inclusion bodies: from AFM-IR measurement to data interpretation of large sample sets.

Wouter Duverger, Grigoria Tsaka, Ladan Khodaparast, Laleh Khodaparast, Nikolaos Louros, Frederic Rousseau, Joost Schymkowitz

Abstract read
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Article in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Wouter DuvergerSwitch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, Leuven, 3000, Belgium.
Grigoria TsakaSwitch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, Leuven, 3000, Belgium.
Ladan KhodaparastSwitch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, Leuven, 3000, Belgium.
Laleh KhodaparastSwitch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, Leuven, 3000, Belgium.
Nikolaos LourosCenter for Alzheimer's and Neurodegenerative Diseases, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Frederic RousseauSwitch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, Leuven, 3000, Belgium. frederic.rousseau@kuleuven.be.
Joost SchymkowitzSwitch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, Leuven, 3000, Belgium. joost.schymkowitz@kuleuven.be.

Funding

Fonds Wetenschappelijk Onderzoek 1128822NFonds Wetenschappelijk Onderzoek I011220N
6 · The paper itself

Abstract

backgroundInclusion bodies (IBs) are well-known subcellular structures in bacteria where protein aggregates are collected. Various methods have probed their structure, but single-cell spectroscopy remains challenging. Atomic Force Microscopy-based Infrared Spectroscopy (AFM-IR) is a novel technology with high potential for the characterisation of biomaterials such as IBs.

resultsWe present a detailed investigation using AFM-IR, revealing the substructure of IBs and their variation at the single-cell level, including a rigorous optimisation of data collection parameters and addressing issues such as laser power, pulse frequency, and sample drift. An analysis pipeline was developed tailored to AFM-IR image data, allowing high-throughput, label-free imaging of more than 3500 IBs in 12,000 bacterial cells. We examined IBs generated in Escherichia coli under different stress conditions. Dimensionality reduction analysis of the resulting spectra suggested distinct clustering of stress conditions, aligning with the nature and severity of the applied stresses. Correlation analyses revealed intricate relationships between the physical and morphological properties of IBs.

conclusionsOur study highlights the power and limitations of AFM-IR, revealing structural heterogeneity within and between IBs. We show that it is possible to perform quantitative analyses of AFM-IR maps over a large collection of different samples and determine how to control for various technical artefacts.

Indexed as

Escherichia coliInclusion BodiesMicroscopy, Atomic ForceSingle-Cell AnalysisSpectrophotometry, InfraredAFM-IREscherichia coliImage analysisInfrared spectroscopyProtein aggregation

Identifiers

PMID38987828
PMCPMC11234752

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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.