Evidence map›Paper›PMID 40262526›Full record

ArticleCell reports methods2025

A cost- and time-efficient method for high-throughput cryoprocessing and tissue analysis using multiplexed tissue molds.

Daniel Reumann, Martin Colombini, Paul Möseneder, Agnieszka Piszczek, Jürgen A Knoblich

Abstract read
In one paragraph

Article in Cell reports methods, 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

5 authors.

Daniel ReumannInstitute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria; Vienna BioCenter, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna, Austria. Electronic address: daniel.reumann@dpag.ox.ac.uk.
Martin ColombiniInstitute of Molecular Pathology (IMP), Vienna BioCenter, Vienna, Austria.
Paul MösenederInstitute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria.
Agnieszka PiszczekVienna BioCenter Core Facilities (VBCF), Vienna BioCenter, Vienna, Austria.
Jürgen A KnoblichInstitute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria; Department of Neurology, Medical University of Vienna, Vienna, Austria. Electronic address: juergen.knoblich@imba.oeaw.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryosectioning remains the gold standard for antibody and transcriptomic/in situ hybridization tissue analysis. However, tissue processing is time-consuming and costly, limiting routine and diagnostic use. Currently, no commercially available protocols or products exist for multiplexing this process. Here, we introduce multiplexed tissue molds (MTMs) that enable high-throughput cryoprocessing-cutting costs and workload by up to 96% while permitting the processing of tissues of various sizes and origins. We demonstrate compatibility with heterogeneous tissues by processing 19 different adult mouse tissues in parallel. Furthermore, we process up to ∼110 neural organoids of different ages and sizes simultaneously and assess their neural differentiation marker expression. MTMs allow sectioning-based tissue analysis when labor, time, and cost are limiting factors. MTMs could be used to compare high specimen numbers in histopathological settings, organism-wide antigen and antibody targeting studies, high-throughput tissue screens, and defined tissue section positioning for, e.g., spatial transcriptomics experiments.

Indexed as

CryopreservationHigh-Throughput Screening AssaysAnimalsMiceOrganoidsCP: ImagingCP: Stem cellcryosectioninghigh-throughput tissue analysishistopathologyimmunohistochemistrymultiplexed tissue analysisorganoids

Identifiers

PMID40262526
PMCPMC12256940

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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.