Dataset Information

Short-Term Stability of Hematologic Parameters in Frozen Whole Blood.

ABSTRACT: BACKGROUND:Complete blood counts (CBCs) are commonly obtained in large multicenter studies. We assessed the stability of 10 parameters after short-term (up to 30 days) frozen storage. METHODS:We compared CBC measurements from fresh samples (n = 53) with samples stored for up to 30 days at -70 °C. We calculated the CVs and intraclass correlation coefficients. RESULTS:Mean values of most parameters, with the exception of hemoglobin and platelet count, were significantly different by 15 days of storage. White blood cell count (CV, 38.3%; 95% CI, 31.3%-46.2%) and red cell distribution width (CV, 37.7%; 95% CI, 34.1%-41.3%) were the most variable. After 30 days, only hemoglobin remained stable and reliable (CV, 0.8%; 95% CI, 0.4%-1.3%). CONCLUSIONS:Hemoglobin remained stable in frozen blood samples stored for up to 30 days at -70 °C and may be reliably used in research studies using short-term frozen specimens. Other CBC parameters measured in stored blood are not sufficiently reliable for research or patient care.

SUBMITTER: Tang O

PROVIDER: S-EPMC6903686 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Short-Term Stability of Hematologic Parameters in Frozen Whole Blood.

Tang Olive O Selvin Elizabeth E Arends Valerie V Saenger Amy A

The journal of applied laboratory medicine 20190723 3

<h4>Background</h4>Complete blood counts (CBCs) are commonly obtained in large multicenter studies. We assessed the stability of 10 parameters after short-term (up to 30 days) frozen storage.<h4>Methods</h4>We compared CBC measurements from fresh samples (n = 53) with samples stored for up to 30 days at -70 °C. We calculated the CVs and intraclass correlation coefficients.<h4>Results</h4>Mean values of most parameters, with the exception of hemoglobin and platelet count, were significantly diffe ...[more]

PMID: 31659078

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Project description:BackgroundGene organization dynamics is actively studied because it provides useful evolutionary information, makes functional annotation easier and often enables to characterize pathogens. There is therefore a strong interest in understanding the variability of this trait and the possible correlations with life-style. Two kinds of events affect genome organization: on one hand translocations and recombinations change the relative position of genes shared by two genomes (i.e. the backbone gene order); on the other, insertions and deletions leave the backbone gene order unchanged but they alter the gene neighborhoods by breaking the syntenic regions. A complete picture about genome organization evolution therefore requires to account for both kinds of events.ResultsWe developed an approach where we model chromosomes as graphs on which we compute different stability estimators; we consider genome rearrangements as well as the effect of gene insertions and deletions. In a first part of the paper, we fit a measure of backbone gene order conservation (hereinafter called backbone stability) against phylogenetic distance for over 3000 genome comparisons, improving existing models for the divergence in time of backbone stability. Intra- and inter-specific comparisons were treated separately to focus on different time-scales. The use of multiple genomes of a same species allowed to identify genomes with diverging gene order with respect to their conspecific. The inter-species analysis indicates that pathogens are more often unstable with respect to non-pathogens. In a second part of the text, we show that in pathogens, gene content dynamics (insertions and deletions) have a much more dramatic effect on genome organization stability than backbone rearrangements.ConclusionIn this work, we studied genome organization divergence taking into account the contribution of both genome order rearrangements and genome content dynamics. By studying species with multiple sequenced genomes available, we were able to explore genome organization stability at different time-scales and to find significant differences for pathogen and non-pathogen species. The output of our framework also allows to identify the conserved gene clusters and/or partial occurrences thereof, making possible to explore how gene clusters assembled during evolution.

Dataset Information

Short-Term Stability of Hematologic Parameters in Frozen Whole Blood.

Publications

Short-Term Stability of Hematologic Parameters in Frozen Whole Blood.

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