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Related Experiment Video

Updated: Mar 15, 2026

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

Published on: March 15, 2021

CTFacTomo: Reconstructing 3D spatial structures of RNA tomography transcriptomes by collapsed tensor factorization.

Tianci Song¹, Quoc Nguyen¹, Charles Broadbent¹

¹Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America.

Plos Computational Biology

|March 13, 2026

Summary

This summary is machine-generated.

CTFacTomo reconstructs 3D gene expression patterns from tissue cryosections. This novel RNA tomography method accurately maps spatial gene activity in complex tissues, advancing our understanding of biological organization.

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Area of Science:

* Spatial transcriptomics
* Computational biology
* Molecular imaging

Background:

* Tissues possess complex 3D organization critical for function.
* Mapping 3D gene expression requires advanced spatial transcriptomic technologies.
* Current methods infer 3D structure from 2D tissue slices.

Purpose of the Study:

* To introduce CTFacTomo, a novel computational method for 3D RNA tomography.
* To reconstruct 3D spatially resolved gene expression from bulk RNA sequencing data of cryosections.
* To validate CTFacTomo's performance against existing benchmark methods.

Main Methods:

* CTFacTomo utilizes Collapsed Tensor Factorization for RNA tomography.
* Integrates bulk gene expression from cryosections with spatial information.
* Employs regularization using protein-protein interaction and spatial graphs.

Main Results:

* CTFacTomo significantly outperforms benchmark methods in predicting 3D gene expression from projected 1D data.
* Successfully reconstructed 3D spatial gene expression patterns in zebrafish embryos and mouse olfactory mucosa.
* Detected marker genes spatially consistent with known developmental/functional regions.

Conclusions:

* CTFacTomo enables accurate 3D reconstruction of gene expression from RNA tomography data.
* The method provides state-of-the-art performance in capturing spatially coherent transcriptomic patterns.
* CTFacTomo advances the field of spatial transcriptomics for complex biological systems.