Evidence map›Paper›PMID 26673893›Full record

ArticleeLife2015

A versatile pipeline for the multi-scale digital reconstruction and quantitative analysis of 3D tissue architecture.

Hernán Morales-Navarrete, Fabián Segovia-Miranda, Piotr Klukowski, Kirstin Meyer, Hidenori Nonaka, Giovanni Marsico, Mikhail Chernykh, Alexander Kalaidzidis, Marino Zerial, Yannis Kalaidzidis

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Shaping epithelial lumina under pressure.Biochemical Society transactions · 2024
    Review
  8. Article
  9. Heterogeneity in killing efficacy of individual effector CD8Proceedings. Biological sciences · 2023
    Article
  10. Article
  11. Article
  12. Distinct hepatocyte identities in liver homeostasis and regeneration.JHEP reports : innovation in hepatology · 2023
    Review
  13. Review
  14. A modular analysis of bile canalicular function and its implications for cholestasis.American journal of physiology. Gastrointestinal and liver physiology · 2023
    Review
  15. Article
  16. Quantification of Clonal Expansion of Hepatocytes in Normal and Injured Liver.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Article
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.

Hernán Morales-NavarreteMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.ORCID http://orcid.org/0000-0002-9578-2556
Fabián Segovia-MirandaMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Piotr KlukowskiMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Kirstin MeyerMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Hidenori NonakaMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Giovanni MarsicoMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Mikhail ChernykhMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Alexander KalaidzidisMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Marino ZerialMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Yannis KalaidzidisMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A prerequisite for the systems biology analysis of tissues is an accurate digital three-dimensional reconstruction of tissue structure based on images of markers covering multiple scales. Here, we designed a flexible pipeline for the multi-scale reconstruction and quantitative morphological analysis of tissue architecture from microscopy images. Our pipeline includes newly developed algorithms that address specific challenges of thick dense tissue reconstruction. Our implementation allows for a flexible workflow, scalable to high-throughput analysis and applicable to various mammalian tissues. We applied it to the analysis of liver tissue and extracted quantitative parameters of sinusoids, bile canaliculi and cell shapes, recognizing different liver cell types with high accuracy. Using our platform, we uncovered an unexpected zonation pattern of hepatocytes with different size, nuclei and DNA content, thus revealing new features of liver tissue organization. The pipeline also proved effective to analyse lung and kidney tissue, demonstrating its generality and robustness.

Indexed as

AnimalsImage Processing, Computer-AssistedImaging, Three-DimensionalLiverMice, Inbred C57BLMicroscopyOptical Imaging3D tissue geometrical modelcomputational biologydevelopmental biologyimage analysismousestem cellssystems biology

Identifiers

PMID26673893
PMCPMC4764584

What OpenQuestion holds

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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.