Evidence map›Paper›PMID 38609416›Full record

ArticleScientific reports2024

Visualisation of gene expression within the context of tissues using an X-ray computed tomography-based multimodal approach.

Kristaps Kairišs, Natalia Sokolova, Lucie Zilova, Christina Schlagheck, Robert Reinhardt, Tilo Baumbach, Tomáš Faragó, Thomas van de Kamp, Joachim Wittbrodt, Venera Weinhardt

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026
    Review
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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

10 authors at 3 institutions in 1 country.

Kristaps Kairišs *Centre for Organismal Studies, 69120, Heidelberg, Germany.
Natalia Sokolova *Centre for Organismal Studies, 69120, Heidelberg, Germany.
Lucie ZilovaCentre for Organismal Studies, 69120, Heidelberg, Germany.
Christina SchlagheckCentre for Organismal Studies, 69120, Heidelberg, Germany.
Robert ReinhardtCentre for Organismal Studies, 69120, Heidelberg, Germany.
Tilo BaumbachInstitute for Photon Science and Synchrotron Radiation (IPS), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.
Tomáš FaragóInstitute for Photon Science and Synchrotron Radiation (IPS), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.
Thomas van de KampInstitute for Photon Science and Synchrotron Radiation (IPS), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.
Joachim WittbrodtCentre for Organismal Studies, 69120, Heidelberg, Germany.
Venera WeinhardtCentre for Organismal Studies, 69120, Heidelberg, Germany. venera.weinhardt@cos.uni-heidelberg.de.
Karlsruhe Institute of Technology · DEEuropean Molecular Biology Laboratory · DEHeidelberg University · DE

Funding

European Research Council 810172
6 · The paper itself

Abstract

The development of an organism is orchestrated by the spatial and temporal expression of genes. Accurate visualisation of gene expression patterns in the context of the surrounding tissues offers a glimpse into the mechanisms that drive morphogenesis. We developed correlative light-sheet fluorescence microscopy and X-ray computed tomography approach to map gene expression patterns to the whole organism`s 3D anatomy. We show that this multimodal approach is applicable to gene expression visualized by protein-specific antibodies and fluorescence RNA in situ hybridisation offering a detailed understanding of individual phenotypic variations in model organisms. Furthermore, the approach offers a unique possibility to identify tissues together with their 3D cellular and molecular composition in anatomically less-defined in vitro models, such as organoids. We anticipate that the visual and quantitative insights into the 3D distribution of gene expression within tissue architecture, by multimodal approach developed here, will be equally valuable for reference atlases of model organisms development, as well as for comprehensive screens, and morphogenesis studies of in vitro models.

Indexed as

AntibodiesTomography, X-Ray ComputedGene ExpressionIn Situ Hybridization, FluorescenceMicroscopy, FluorescenceAntibodies

Identifiers

PMID38609416
PMCPMC11015006
OpenAlexW4394766329

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.