Evidence map›Paper›PMID 28821222›Full record

ArticleBMC genomics2017

Impact of blood collection and processing on peripheral blood gene expression profiling in type 1 diabetes.

Linda Yip, Rebecca Fuhlbrigge, Mark A Atkinson, C Garrison Fathman

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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  6. Expression of thrombospondin-1 in conjunctival squamous cell carcinoma is correlated to the Ki67 index and associated with progression-free survival.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
    Article
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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

4 authors at 3 institutions in 1 country.

Linda YipDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA, 94305, USA. lindayip@stanford.edu.ORCID http://orcid.org/0000-0002-6459-2063
Rebecca FuhlbriggeDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA, 94305, USA.
Mark A AtkinsonDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA.
C Garrison FathmanDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA, 94305, USA.
Stanford University · USStanford Medicine · USUniversity of Florida · US

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 1997 to 2026
$32.9M
Northwest Clinical Center for Type 1 Diabetes - TrialNetU01DK061034 · NIDDK · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI GREENBAUM, CARLA J · 2001 to 2018
$10.3M
Type I Diabetes Trialnet at StsnfordU01DK061042 · NIDDK · STANFORD UNIVERSITY · PI WILSON, DARRELL M · 2001 to 2018
$8.5M
UCSF Trialnet: A Phase II Trial of Imatimib in New Onset Type I DiabetesU01DK061010 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GITELMAN, STEPHEN E · 2001 to 2018
$8.1M
Type 1 Diabetes-A Proposal for Prevention & InterventionU01DK085476 · NIDDK · UNIVERSITY OF MINNESOTA · PI MORAN, ANTOINETTE M. · 2009 to 2018
$7.1M
Prediction and Prevention of Type I DiabetesU01DK061058 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, DOROTHY J · 2001 to 2018
$6.5M
TrialNet: University of Florida Clinical Center and NetworkU01DK085461 · NIDDK · UNIVERSITY OF FLORIDA · PI HALLER, MICHAEL JAMES · 2009 to 2018
$5.9M
TrialNet: Diabetes Type 1 PreventionU01DK085509 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI GOTTLIEB, PETER A · 2009 to 2018
$5.8M
Type 1 Diabetes TrialNet Clinical Center: Effects of Alefacept in New Onset T1DU01DK085499 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BAIDAL, DAVID · 2009 to 2018
$4.9M
Vanderbilt University: Clinical Center Application, Type 1 Diabetes TrialNetU01DK085465 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RUSSELL, WILLIAM E · 2009 to 2018
$4.8M
Type 1 Diabetes TrialNet: Clinical Center at Yale University (U01)U01DK085466 · NIDDK · YALE UNIVERSITY · PI HEROLD, KEVAN C · 2009 to 2018
$3.3M
Type 1 Diabetes TrialNet at Indiana University Clinical CenterU01DK085505 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI DIMEGLIO, LINDA A · 2009 to 2013
$3.0M
NIAID NIH HHS P01 AI042288NIDDK NIH HHS R01 DK115874NIDDK NIH HHS U01 DK061010NIDDK NIH HHS U01 DK061034NIDDK NIH HHS U01 DK061042NIDDK NIH HHS U01 DK061058NIDDK NIH HHS U01 DK085453NIDDK NIH HHS U01 DK085461NIDDK NIH HHS U01 DK085463NIDDK NIH HHS U01 DK085465NIDDK NIH HHS U01 DK085466NIDDK NIH HHS U01 DK085476NIDDK NIH HHS U01 DK085499NIDDK NIH HHS U01 DK085504NIDDK NIH HHS U01 DK085505NIDDK NIH HHS U01 DK085509NIDDK NIH HHS U01 DK103153NIDDK NIH HHS U01 DK103180NIDDK NIH HHS U01 DK103266NIDDK NIH HHS U01 DK107014
6 · The paper itself

Abstract

backgroundThe natural history of type 1 diabetes (T1D) is challenging to investigate, especially as pre-diabetic individuals are difficult to identify. Numerous T1D consortia have been established to collect whole blood for gene expression analysis from individuals with or at risk to develop T1D. However, with no universally accepted protocol for their collection, differences in sample processing may lead to variances in the results. Here, we examined whether the choice of blood collection tube and RNA extraction kit leads to differences in the expression of genes that are changed during the progression of T1D, and if these differences could be minimized by measuring gene expression directly from the lysate of whole blood.

resultsMicroarray analysis showed that the expression of 901 genes is highly influenced by sample processing using the PAXgene versus the Tempus system. These included a significant number of lymphocyte-specific genes and genes whose expression has been reported to differ in the peripheral blood of at-risk and T1D patients compared to controls. We showed that artificial changes in gene expression occur when control and T1D samples were processed differently. The sample processing-dependent differences in gene expression were largely due to loss of transcripts during the RNA extraction step using the PAXgene system. The majority of differences were not observed when gene expression was measured in whole blood lysates prepared from blood collected in PAXgene and Tempus tubes.

conclusionWe showed that the gene expression profile of samples processed using the Tempus system is more accurate than that of samples processed using the PAXgene system. Variation in sample processing can result in misleading changes in gene expression. However, these differences can be minimized by measuring gene expression directly in whole blood lysates.

Indexed as

AdolescentAdultAgedBlood Specimen CollectionDiabetes Mellitus, Type 1FemaleGene Expression ProfilingHumansLeukocytes, MononuclearMaleMiddle AgedOligonucleotide Array Sequence AnalysisYoung AdultGene expressionMicroarrayNanoStringPAXgenePeripheral bloodRNA isolationTempusType 1 diabetes

Identifiers

PMID28821222
PMCPMC5563008
OpenAlexW2749577468

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.