Evidence map›Paper›PMID 29912187›Full record

ArticleJournal of visualized experiments : JoVE2018

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis.

Caleb Sutherland, Yu Wang, Robert V Brown, Julie Foley, Beth Mahler, Kyathanahalli S Janardhan, Ramesh C Kovi, Anton M Jetten

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 93% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. DAMPs Drive Fibroinflammatory Changes in the Glaucomatous ONH.Investigative ophthalmology & visual science · 2024
    Article
  3. Review
  4. 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

8 authors at 2 institutions in 1 country.

Caleb SutherlandImmunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, NIH.
Yu WangCellular and Molecular Pathology Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, NIH.
Robert V BrownImmunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, NIH.
Julie FoleyCellular and Molecular Pathology Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, NIH.
Beth MahlerCellular and Molecular Pathology Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, NIH.
Kyathanahalli S JanardhanCellular and Molecular Pathology Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, NIH; Integrated Laboratory Systems Inc.
Ramesh C KoviCellular and Molecular Pathology Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, NIH; Experimental Pathology Laboratories Inc.
Anton M JettenImmunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, NIH; jetten@niehs.nih.gov.
National Institute of Environmental Health Sciences · USIntegrated Laboratory Systems, Inc. · US

Funding

CMPB Pathology Support GroupZICES102505 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI HERBERT, RONALD · 2014 to 2021
$67.7M
Mechanism Of Action And Functions Of The Gli-related Proteins Glis 1-3ZIAES100485 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JETTEN, ANTON M · 2009 to 2025
$35.9M
Gene Expression and MicroarraysZICES102445 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI GERRISH, KEVIN · 2009 to 2025
$31.6M
Toxicologic Pathology Evaluations for the National Toxicology ProgramZIAES103319 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MALARKEY, DAVID · 2016 to 2019
$25.2M
6 · The paper itself

Abstract

Laser capture microdissection (LCM) has allowed gene expression analysis of single cells and enriched cell populations in tissue sections. LCM is a great tool for the study of the molecular mechanisms underlying cell differentiation and the development and progression of various diseases, including glaucoma. Glaucoma, which comprises a family of progressive optic neuropathies, is the most common cause of irreversible blindness worldwide. Structural changes and damage within the trabecular meshwork (TM) can result in increased intraocular pressure (IOP), which is a major risk factor for developing glaucoma. However, the precise molecular mechanisms involved are still poorly understood. The ability to perform gene expression analysis will be crucial in obtaining further insights into the function of these cells and its role in the regulation of IOP and glaucoma development. To achieve this, a reproducible method for isolating highly enriched TM from frozen sections of mouse eyes and a method for downstream gene expression analysis, such as RT-qPCR and RNA-Seq is needed. The method described herein is developed to isolate highly pure TM from mouse eyes for downstream digital PCR and microarray analysis. In addition, this technique can be easily adapted for the isolation of other highly enriched ocular cells and cell compartments that have been difficult to isolate from mouse eyes. The combination of LCM and RNA analysis can contribute to a more comprehensive understanding of the cellular events underlying glaucoma.

Indexed as

AnimalsEyeGene ExpressionHumansLaser Capture MicrodissectionMiceTrabecular Meshwork

Identifiers

PMID29912187
PMCPMC6101558
OpenAlexW2806920466

What OpenQuestion holds

Textmetadata
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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.