Evidence map›Paper›PMID 31809517›Full record

ArticlePloS one2019

Investigating gene expression profiles of whole blood and peripheral blood mononuclear cells using multiple collection and processing methods.

Aarti Gautam, Duncan Donohue, Allison Hoke, Stacy Ann Miller, Seshamalini Srinivasan, Bintu Sowe, Leanne Detwiler, Jesse Lynch, Michael Levangie, Rasha Hammamieh and 1 more

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 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Trial
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  11. Effect of Alligator Weed (Animals : an open access journal from MDPI · 2025
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  13. Review
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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

11 authors.

Aarti GautamUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.ORCID 0000-0003-3132-5599
Duncan DonohueUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Allison HokeUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Stacy Ann MillerUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Seshamalini SrinivasanUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Bintu SoweUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Leanne DetwilerUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Jesse LynchUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Michael LevangieUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Rasha HammamiehUS Army Center for Environmental Health Research, Fort Detrick, MD, United States of America.
Marti JettUS 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

Gene expression profiling using blood samples is a valuable tool for biomarker discovery in clinical studies. Different whole blood RNA collection and processing methods are highly variable and might confound comparisons of results across studies. The main aim of the current study is to compare how blood storage, extraction methodologies, and the blood components themselves may influence gene expression profiling. Whole blood and peripheral blood mononuclear cell (PBMC) samples were collected in triplicate from five healthy donors. Whole blood was collected in RNAgard® and PAXgene® Blood RNA Tubes, as well as in collection tubes with anticoagulants such as dipotassium ethylenediaminetetraacetic acid (K2EDTA) and Acid Citrate Dextrose Solution A (ACD-A). PBMCs were separated using sodium citrate Cell Preparation Tubes (CPT™), FICOLL™, magnetic separation, and the LeukoLOCK™ methods. After blood collection, the LeukoLOCK™, K2EDTA and ACD-A blood tubes were shipped overnight using cold conditions and samples from the rest of the collection were immediately frozen with or without pre-processing. The RNA was isolated from whole blood and PBMCs using a total of 10 different experimental conditions employing several widely utilized RNA isolation methods. The RNA quality was assessed by RNA Integrity Number (RIN), which showed that all PBMC procedures had the highest RIN values when blood was stabilized in TRIzol® Reagent before RNA extraction. Initial data analysis showed that human blood stored and shipped at 4°C overnight performed equally well when checked for quality using RNA integrity number when compared to frozen stabilized blood. Comparisons within and across donor/method replicates showed signal-to-noise patterns which were not captured by RIN value alone. Pathway analysis using the top 1000 false discovery rate (FDR) corrected differentially expressed genes (DEGs) showed frozen vs. cold shipping conditions greatly impacted gene expression patterns in whole blood. However, the top 1000 FDR corrected DEGs from PBMCs preserved after frozen vs. cold shipping conditions (LeukoLOCK™ preserved in RNAlater®) revealed no significantly affected pathways. Our results provide novel insight into how RNA isolation, various storage, handling, and processing methodologies can influence RNA quality and apparent gene expression using blood samples. Careful consideration is necessary to avoid bias resulting from downstream processing. Better characterization of the effects of collection method idiosyncrasies will facilitate further research in understanding the effect of gene expression variability in human sample types.

Indexed as

TranscriptomeAnticoagulantsBlood PreservationBlood Specimen CollectionGene Expression ProfilingHumansLeukocytes, MononuclearAnticoagulants

Identifiers

PMID31809517
PMCPMC6897427

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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.