Evidence map›Paper›PMID 39627541›Full record

ReviewNature protocols2025

A multiwell plate approach to increase the sample throughput during tissue clearing.

Fumito Akiyama, Katsuhiko Matsumoto, Katsunari Yamashita, Akio Oishi, Takashi Kitaoka, Hiroki R Ueda

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Fumito Akiyama *Laboratory for Synthetic Biology, Center for Biosystems Dynamics Research, RIKEN, Suita, Japan.
Katsuhiko Matsumoto *Laboratory for Synthetic Biology, Center for Biosystems Dynamics Research, RIKEN, Suita, Japan.
Katsunari YamashitaLaboratory for Synthetic Biology, Center for Biosystems Dynamics Research, RIKEN, Suita, Japan.
Akio OishiDepartment of Ophthalmology and Visual Sciences, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Takashi KitaokaDepartment of Ophthalmology and Visual Sciences, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Hiroki R UedaLaboratory for Synthetic Biology, Center for Biosystems Dynamics Research, RIKEN, Suita, Japan. uedah-tky@umin.ac.jp.

Funding

Japan Agency for Medical Research and Development (AMED) Science and Technology Platform Program for Advanced Biological MedicineMEXT | Japan Science and Technology Agency (JST) JPMJMS2023MEXT | Japan Society for the Promotion of Science (JSPS) 20K06885
6 · The paper itself

Abstract

Tissue clearing, coupled with immunostaining, enables the transition from two-dimensional to three-dimensional pathology and has the potential to substantially improve data quality for biomedical diagnostics. Nevertheless, the workflows are limited by the complex sample processing protocols. Approaches for the parallel processing of samples, to include tissue clearing, immunostaining, imaging and analysis can increase three-dimensional pathology throughput. Here we detail a step-by-step approach that combines a tissue clearing device with a six-well multiwell plate to increase the throughput compared with methods using conventional clearing protocols. The six-well multiplate allows for parallel tissue clearing of multiple samples and is compatible with passive tissue clearing methods including Clear, Unobstructed Brain/Body Imaging Cocktails and Computational (CUBIC) analysis. In addition, gel embedding is performed without moving the samples from the wells, and a series of steps such as imaging with a high-speed light-sheet microscope and analysis in the cloud can be performed. Although this procedure slightly extends the overall time required for preparing and analyzing a single sample, it reduces the effort required at each step, such as reagent exchange and gel embedding, which results in an overall reduction in hands-on time due to the parallel sample processing. We describe a series of whole-organ analyses, including high-throughput tissue clearing, staining, gel embedding, imaging and data analysis in the cloud, as a useful platform for cellular biology and pathology. The total process varies depending on the presence or absence of immunostaining, but for some six-well plates, the tissue clearing process, imaging and data analysis can be completed within 10 d.

Indexed as

High-Throughput Screening AssaysAnimalsBrainHumansImaging, Three-DimensionalMice

Identifiers

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.