Evidence map›Paper›PMID 25145327›Full record

ArticleJournal of visualized experiments : JoVE2014

RNA isolation from mouse pancreas: a ribonuclease-rich tissue.

Ana Clara P Azevedo-Pouly, Ola A Elgamal, Thomas D Schmittgen

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

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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 at 1 institution in 1 country.

Ana Clara P Azevedo-PoulyPharmaceutics & Pharmaceutical Chemistry, The Ohio State University.
Ola A ElgamalPharmaceutics & Pharmaceutical Chemistry, The Ohio State University.
Thomas D SchmittgenPharmaceutics & Pharmaceutical Chemistry, The Ohio State University; schmittgen.2@osu.edu.
The Ohio State University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Early Diagnosis of Pancreatic CancerU01CA111294 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BATRA, SURINDER K., HOLLINGSWORTH, MICHAEL A. · 2004 to 2015
$7.1M
NCI NIH HHS P30 CA016058NCI NIH HHS U01 CA111294NCI NIH HHS U01CA111294
6 · The paper itself

Abstract

Isolation of high-quality RNA from ribonuclease-rich tissue such as mouse pancreas presents a challenge. As a primary function of the pancreas is to aid in digestion, mouse pancreas may contain as much a 75 mg of ribonuclease. We report modifications of standard phenol/guanidine thiocyanate lysis reagent protocols to isolate RNA from mouse pancreas. Guanidine thiocyanate is a strong protein denaturant and will effectively disrupt the activity of ribonuclease under most conditions. However, critical modifications to standard protocols are necessary to successfully isolate RNA from ribonuclease-rich tissues. Key steps include a high lysis reagent to tissue ratio, removal of undigested tissue prior to phase separation and inclusion of a ribonuclease inhibitor to the RNA solution. Using these and other modifications, we routinely isolate RNA with RNA Integrity Number (RIN) greater than 7. The isolated RNA is of suitable quality for routine gene expression analysis. Adaptation of this protocol to isolate RNA from ribonuclease rich tissues besides the pancreas should be readily achievable.

Indexed as

AnimalsMicePancreasRibonuclease, PancreaticRNARibonuclease, PancreaticRNA

Identifiers

PMID25145327
PMCPMC4297470
OpenAlexW1992733293

What OpenQuestion holds

Textmetadata
LicenceTDM
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.