Evidence map›Paper›PMID 27077656›Full record

ArticlePloS one2016

Adaptation of Laser Microdissection Technique for the Study of a Spontaneous Metastatic Mammary Carcinoma Mouse Model by NanoString Technologies.

Nadia P Castro, Anand S Merchant, Karen L Saylor, Miriam R Anver, David S Salomon, Yelena G Golubeva

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Nadia P CastroTumor Growth Factor Section, Mouse Cancer Genetics Program, National Cancer Institute, Frederick, MD, 21702, United States of America.
Anand S MerchantCCRIFX Bioinformatics Core, National Cancer Institute, Bethesda, MD, 20892, United States of America.
Karen L SaylorTumor Growth Factor Section, Mouse Cancer Genetics Program, National Cancer Institute, Frederick, MD, 21702, United States of America.
Miriam R AnverPathology-Histotechnology Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, United States of America.
David S SalomonTumor Growth Factor Section, Mouse Cancer Genetics Program, National Cancer Institute, Frederick, MD, 21702, United States of America.
Yelena G GolubevaPathology-Histotechnology Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, United States of America.
Cancer Genetics (United States) · USFrederick National Laboratory for Cancer Research · USNational Cancer Institute · US

Funding

CCR NIH HHS HHSN261200800001CIntramural NIH HHSNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Laser capture microdissection (LCM) of tissue is an established tool in medical research for collection of distinguished cell populations under direct microscopic visualization for molecular analysis. LCM samples have been successfully analyzed in a number of genomic and proteomic downstream molecular applications. However, LCM sample collection and preparation procedure has to be adapted to each downstream analysis platform. In this present manuscript we describe in detail the adaptation of LCM methodology for the collection and preparation of fresh frozen samples for NanoString analysis based on a study of a model of mouse mammary gland carcinoma and its lung metastasis. Our adaptation of LCM sample preparation and workflow to the requirements of the NanoString platform allowed acquiring samples with high RNA quality. The NanoString analysis of such samples provided sensitive detection of genes of interest and their associated molecular pathways. NanoString is a reliable gene expression analysis platform that can be effectively coupled with LCM.

Indexed as

AnimalsBase SequenceCell Line, TumorFrozen SectionsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLaser Capture MicrodissectionLung NeoplasmsMammary Neoplasms, AnimalMice, Inbred BALB CMice, NudeMolecular Sequence DataNanotechnologyOligonucleotide Array Sequence AnalysisReproducibility of Results

Identifiers

PMID27077656
PMCPMC4831786
OpenAlexW2337509008

What OpenQuestion holds

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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.