Evidence map›Paper›PMID 30600479›Full record

ReviewHepatology international2019

Laser capture microdissection: techniques and applications in liver diseases.

Beatriz Aguilar-Bravo, Pau Sancho-Bru

Abstract readReview
PubMed Publisher
In one paragraph

Review in Hepatology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Single-Cell RNA-Sequencing: Opening New Horizons for Breast Cancer Research.International journal of molecular sciences · 2024
    Review
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  7. circFLNA promotes intestinal injury during abdominal sepsis through Fas-mediated apoptosis pathway by sponging miR-766-3p.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Article
  8. Application of spatial transcriptome technologies to neurological diseases.Frontiers in cell and developmental biology · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

2 authors at 1 institution in 1 country.

Beatriz Aguilar-BravoInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C/Rosselló, 149-153, Third Floor, 08036, Barcelona, Spain.
Pau Sancho-BruInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C/Rosselló, 149-153, Third Floor, 08036, Barcelona, Spain. psancho@clinic.cat.
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer · ES

Funding

Instituto de Salud Carlos III CP16/00041Instituto de Salud Carlos III FI16/00203Instituto de Salud Carlos III PI17/00673
6 · The paper itself

Abstract

Routine transcriptomic and proteomic analysis are usually performed at a whole organ or tissue level. These approaches provide an average readout of all cell types present within the tissue but do not allow differentiating the profile of specific cell populations. Laser capture microdissection (LCM) constitutes an excellent tool to isolate cell populations or areas of interest within a tissue. By direct visualization, the selected area is excised by a laser and can be further processed for a variety of downstream analyses. This technology has been widely used in the study of liver diseases, from DNA and RNA sequencing to mass spectrometry. However, LCM also has important limitations. To ensure the best integrity of the molecule of interest, optimal tissue preservation, careful tissue sectioning, and optimization of the staining procedure are required. The present review provides a description of the LCM technology, including tips and technical recommendations to perform the procedure, as well as an overview of studies using LCM technology in the field of liver disease.

Indexed as

Laser Capture MicrodissectionHumansLiver DiseasesSequence Analysis, DNASequence Analysis, RNAStaining and LabelingTissue PreservationDownstream analysisLaser capture microdissectionLiver diseasesProteomeTissue preservationTranscriptome

Identifiers

PMID30600479
OpenAlexW2907622578

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.