Evidence map›Paper›PMID 23793137›Full record

ArticleJournal of visualized experiments : JoVE2013

Visualization and analysis of mRNA molecules using fluorescence in situ hybridization in Saccharomyces cerevisiae.

R Scott McIsaac, Sanford J Silverman, Lance Parsons, Ping Xu, Ryan Briehof, Megan N McClean, David Botstein

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Review
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  12. Quantitative measurement of cancer tissue biomarkers in the lab and in the clinic.Laboratory investigation; a journal of technical methods and pathology · 2015
    Review
  13. Article
  14. Article
  15. 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

7 authors.

R Scott McIsaacThe Lewis-Sigler Institute for Integrative Genomics, Princeton University. r.scott.mcisaac@gmail.com
Sanford J Silverman
Lance Parsons
Ping Xu
Ryan Briehof
Megan N McClean
David Botstein

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI BOTSTEIN, DAVID · 2004 to 2013
$30.6M
Genetics of Functional Interactions in YeastR01GM046406 · NIGMS · STANFORD UNIVERSITY · PI BOTSTEIN, DAVID · 2001 to 2015
$9.5M
GENETICS OF FUNCTIONAL INTERACTIONS IN YEASTR37GM046406 · NIGMS · STANFORD UNIVERSITY · PI BOTSTEIN, DAVID · 1991 to 2000
$683k
NIGMS NIH HHS GM046406NIGMS NIH HHS GM071508NIGMS NIH HHS P50 GM071508NIGMS NIH HHS R01 GM046406NIGMS NIH HHS R37 GM046406
6 · The paper itself

Abstract

The Fluorescence in situ Hybridization (FISH) method allows one to detect nucleic acids in the native cellular environment. Here we provide a protocol for using FISH to quantify the number of mRNAs in single yeast cells. Cells can be grown in any condition of interest and then fixed and made permeable. Subsequently, multiple single-stranded deoxyoligonucleotides conjugated to fluorescent dyes are used to label and visualize mRNAs. Diffraction-limited fluorescence from single mRNA molecules is quantified using a spot-detection algorithm to identify and count the number of mRNAs per cell. While the more standard quantification methods of northern blots, RT-PCR and gene expression microarrays provide information on average mRNAs in the bulk population, FISH facilitates both the counting and localization of these mRNAs in single cells at single-molecule resolution.

Indexed as

AlgorithmsIn Situ Hybridization, FluorescenceRNA, FungalRNA, MessengerSaccharomyces cerevisiaeRNA, FungalRNA, Messenger

Identifiers

PMID23793137
PMCPMC3727456

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.