Evidence map›Paper›PMID 31600258›Full record

ArticlePloS one2019

Gene expression profiling of whole blood: A comparative assessment of RNA-stabilizing collection methods.

Duncan E Donohue, Aarti Gautam, Stacy-Ann Miller, Seshamalini Srinivasan, Duna Abu-Amara, Ross Campbell, Charles R Marmar, Rasha Hammamieh, Marti Jett

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Frontiers in nutrition · 2026
    Trial
  3. Expression of Immune CheckpointsTurkish journal of haematology : official journal of Turkish Society of Haematology · 2026
    Article
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  19. Early Transcriptomic Response to Burn Injury: Severe Burns Are Associated With Immune Pathway Shutdown.Journal of burn care & research : official publication of the American Burn Association · 2022
    Article
  20. 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

9 authors.

Duncan E DonohueIntegrative Systems Biology Program, U.S. Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Aarti GautamIntegrative Systems Biology Program, U.S. Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.ORCID 0000-0003-3132-5599
Stacy-Ann MillerIntegrative Systems Biology Program, U.S. Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Seshamalini SrinivasanIntegrative Systems Biology Program, U.S. Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Duna Abu-AmaraSteven and Alexandra Cohen Veterans Center for the Study of Posttraumatic Stress and Traumatic Brain Injury, Department of Psychiatry, NYU School of Medicine, New York, NY, United States of America.
Ross CampbellIntegrative Systems Biology Program, U.S. Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Charles R MarmarSteven and Alexandra Cohen Veterans Center for the Study of Posttraumatic Stress and Traumatic Brain Injury, Department of Psychiatry, NYU School of Medicine, New York, NY, United States of America.
Rasha HammamiehIntegrative Systems Biology Program, U.S. Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Marti JettIntegrative Systems Biology Program, U.S. Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral Blood gene expression is widely used in the discovery of biomarkers and development of therapeutics. Recently, a spate of commercial blood collection and preservation systems have been introduced with proprietary variations that may differentially impact the transcriptomic profiles. Comparative analysis of these collection platforms will help optimize protocols to detect, identify, and reproducibly validate true biological variance among subjects. In the current study, we tested two recently introduced whole blood collection methods, RNAgard® and PAXgene® RNA, in addition to the traditional method of peripheral blood mononuclear cells (PBMCs) separated from whole blood and preserved in Trizol reagent. Study results revealed striking differences in the transcriptomic profiles from the three different methods that imply ex vivo changes in gene expression occurred during the blood collection, preservation, and mRNA extraction processes. When comparing the ability of the three preservation methods to accurately capture individuals' expression differences, RNAgard® outperformed PAXgene® RNA, and both showed better individual separation of transcriptomic profiles than PBMCs. Hence, our study recommends using a single blood collection platform, and strongly cautions against combining methods during the course of a defined study.

Indexed as

BiomarkersBlood Specimen CollectionGene Expression ProfilingGene Expression RegulationHumansLeukocytes, MononuclearOligonucleotide Array Sequence AnalysisRNARNA, MessengerTranscriptomeBiomarkersRNARNA, Messenger

Identifiers

PMID31600258
PMCPMC6786555

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.