Evidence map›Paper›PMID 40257560›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Correlative Electron Spectroscopic Imaging (ESI) and Electron Tomography of Chromatin.

Eden Fussner-Dupas, Ren Li, Mike Strauss

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eden Fussner-DupasDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Ren LiCell Biology Program, Hospital for Sick Children, Toronto, ON, Canada.
Mike StraussDepartment of Anatomy and Cell Biology, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada. mike.strauss@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generating three-dimensional element-specific images of chromatin, its surrounding protein, and RNA bodies is not routinely practiced in cell or structural biology, but it is an exceptional and powerful tool for understanding chromatin structure in situ. This electron microscopic technique may be a fruitful avenue for those interested in understanding local chromatin structure, the structure-functional relationship of histone modifications on gene expression, or phase separation and RNA regulation of the genome. Here, we describe an approach for performing correlative light and electron spectroscopic imaging tomography, which yields stunning high-resolution structures of chromatin in situ using elemental mapping. Traditional electron spectroscopic imaging (ESI), as all conventional transmission electron microscopy (TEM) image acquisition methods, is restricted to a single image plane, and consequently, information about the z-dimension is collapsed in the image. To overcome this projection limitation, electron tomography approaches are combined with energy-loss imaging; by acquiring and computationally combining a tilt series of image sets, the overlapping fibers of chromatin regions that appear indistinct in 2D are resolved to reveal their 3D architecture. Further combining this approach with correlative light images of the same physical section, structures which are associated with specific proteins of interest can be located and analyzed. Herein, we describe a detailed method for sample preparation, image acquisition, and data analysis and have attached in the Notes the scripts built in-house for ease of use.

Indexed as

ChromatinElectron Microscope TomographyHumansImage Processing, Computer-AssistedImaging, Three-DimensionalChromatincorrelative light and electron microscopy (CLEM)Electron spectroscopic imaging (ESI)Electron tomographyElement-specific mappinghigh-resolution imaging of chromatin and nucleoplasm

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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.