Evidence map›Paper›PMID 41629710›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

High-Resolution Laser Microdissection to Investigate Transcriptional States in Formalin-Fixed Paraffin-Embedded Samples.

Pierluigi Di Chiaro, Lucia Nacci, Giuseppe R Diaferia

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. 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
0cells of the map it votes in
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

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

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

3 authors.

Pierluigi Di ChiaroLaboratory of Translational Research, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID https://orcid.org/0000-0002-9179-1922
Lucia NacciDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milano, Italy.ORCID https://orcid.org/0000-0003-1106-1207
Giuseppe R DiaferiaBotton-Champalimaud Pancreatic Cancer Center, Champalimaud Foundation, Lisbon, Portugal. giuseppe.diaferia@research.fchampalimaud.org.ORCID https://orcid.org/0000-0003-4022-8483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of spatially resolved transcriptomics has revolutionized our understanding of tissue heterogeneity. While advanced spatial transcriptomics (ST) technologies offer unparalleled and unbiased, whole-slide molecular mapping, laser microdissection (LMD) remains a highly valuable and often superior approach for specific research questions, particularly when coupled with RNA sequencing (RNA-seq). LMD provides high spatial resolution through precise morphological annotation, allowing for the isolation of defined cell clusters or even rare populations from complex tissues. This enables deeper and more sensitive transcriptomic profiling than is often achievable with some high-throughput ST methods that depend on computational deconvolution. Crucially, LMD is well established for use with routine histological samples, including challenging formalin-fixed paraffin-embedded (FFPE) specimens, facilitating invaluable retrospective studies on large patient cohorts. Unlike emerging ST platforms that can present significant per-sample costs and substantial computational overhead, targeted LMD-RNA-seq offers a more cost-effective and scalable solution for analyzing numerous specific regions across large numbers of patients. Therefore, a robust protocol outlining the use of LMD for routine histological samples, coupled with RNA-seq, remains an invaluable tool for discovery, enabling highly specific molecular insights from clinically relevant biospecimens.

Indexed as

Gene Expression ProfilingLaser Capture MicrodissectionParaffin EmbeddingTranscriptomeFormaldehydeHumansSpatial TranscriptomicsTissue FixationFormaldehydeBioinformaticsFFPELaser microdissectionOmicsPancreatic cancerRNA-seqSpatial transcriptomics

Identifiers

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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.