Evidence map›Paper›PMID 21812005›Full record

ArticleResearch in nursing & health2011

Collection and storage of human blood and adipose for genomic analysis of clinical samples.

Ann K Cashion, Reba A Umberger, Shirlean B Goodwin, Thomas R Sutter

Open access · greenAbstract readComparative Study
In one paragraph

Article in Research in nursing & health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Human adipose and skeletal muscle tissue DNA, RNA, and protein content.Journal of applied physiology (Bethesda, Md. : 1985) · 2021
    Article
  3. Article
  4. An overview of the genomics of metabolic syndrome.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2013
    Review
  5. 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

4 authors at 3 institutions in 1 country.

Ann K CashionCollege of Nursing, University of Tennessee Health Science Center, 920 Madison, Suite 507 N, Memphis, TN 38163, USA.
Reba A Umberger
Shirlean B Goodwin
Thomas R Sutter
University of Tennessee Health Science Center · USMarymount University · USUniversity of Memphis · US

Funding

Genetics, Environment and Weight Gain PosttransplantR01NR009270 · NINR · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI HATHAWAY, DONNA K · 2007 to 2011
$1.7M
NINR NIH HHS NR-009270NINR NIH HHS R01 NR009270
6 · The paper itself

Abstract

In this methods article, we describe collection and storage of clinically acquired blood and adipose samples for transcript analysis in an ongoing study exploring obesity in renal transplant recipients. Total ribonucleic acid (RNA) was isolated from whole blood using the LeukoLOCK™ Total RNA Isolation System (n = 4), and comparisons between fresh and frozen samples were made. Abdominal subcutaneous adipose samples (n = 4) were obtained during kidney transplantation, flash frozen, and stored at -80°C. Adipose RNA was extracted using either the STAT-60 method modified for lipids or Trizol plus RNeasy extraction. Affymetrix HG-U133 plus 2.0 arrays and Affymetrix Human Gene 1.0 ST arrays were used for both blood and adipose transcriptome analysis. Purity, quality, and quantity of RNA were high with comparable results using both array platforms.

Indexed as

Adipose TissueBlood PreservationBlood Specimen CollectionFreezingGene Expression ProfilingHumansRNASensitivity and SpecificityTissue Array AnalysisRNA

Identifiers

PMID21812005
PMCPMC3171596
OpenAlexW2102365409

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.