Evidence map›Paper›PMID 41359639›Full record

ArticlePloS one2025

Comparing RNA extraction protocols from formalin-fixed paraffin-embedded microcore samples.

Maxime Golias, Zuzana Krupova, Pierre Defrenaix, Marie-Françoise Heymann, Dominique Heymann

Abstract readComparative Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maxime GoliasExcilone, Elancourt, France.ORCID https://orcid.org/0000-0002-6722-6966
Zuzana KrupovaExcilone, Elancourt, France.
Pierre DefrenaixExcilone, Elancourt, France.
Marie-Françoise HeymannNantes Université, CNRS, UMR6286, US2B, Nantes, France.
Dominique HeymannNantes Université, CNRS, UMR6286, US2B, Nantes, France.ORCID https://orcid.org/0000-0001-7777-0669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to analyze intratumoral heterogeneity is of great interest for both diagnostic and basic research purposes. However, currently available dissection techniques are unsuitable for routine use and hard to access financially. Recently, a novel microcore-based dissection technique has been developed by the company Excilone for studying tissue heterogeneity in formalin-fixed paraffin-embedded (FFPE) microcore samples. The use of FFPE biological samples for transcriptomic studies, coupled with their small size, remains a real barrier to dissection applications. The efficacy of five commercially available RNA extraction kits were analyzed on microcores collected from human and mice FFPE tissues. Thirty microcore samples of healthy tissue (human uterus and stomach, and murine liver and spleen) were collected and distributed equally and randomly to the five kits assessed. Microcores were collected directly from paraffin blocks using 200 µm inner diameter needles with a sample depth, variable regarding to tissue type, ranging from 450 to 600 µm. Overall RNA yield and RNA fragmentation were evaluated, and RT-qPCR analyses were carried out after deparaffinization and compared to non-deparaffinization protocols. RNA yields and RNA fragmentation varied considerably between kits and FFPE tissues analyzed. Although the main limitation of this technique is the small initial sample size, differences in qPCR efficiency were also observed. Interestingly, no significant differences were observed between deparaffinized and non-deparaffinized microcore samples. Ultimately, we demonstrate the feasibility of using FFPE microcore samples for sensitive molecular biology applications, both with and without deparaffinization. The importance of setting up an optimized workflow was emphasized by significant differences observed in outcomes of the different protocols.

Indexed as

FormaldehydeParaffin EmbeddingRNATissue FixationAnimalsFemaleHumansLiverMiceUterusFormaldehydeRNA

Identifiers

PMID41359639
PMCPMC12685168

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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.