Standardization of <scp>CD</scp>62P measurement: results of an international comparative study

Levin, E.J.; Serrano, Katherine; Devine, Dana V.

doi:10.1111/vox.12023

Cited by 11 publications

(7 citation statements)

References 17 publications

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“…Since manual analysis requires the user to specify which cells to gate on (often called a “gating strategy”), additional technical variation will naturally arise due to the inability of humans to accurately reproduce this strategy within and across FCM experiments. The amount of technical variability related to human subjectivity, not surprisingly, is increased if more than one user is tasked to perform the FCM analysis, and has been estimated to be as high as 78% ( 12 , 13 ). Computational assistance not only removes the necessity for multiple individuals to take part in FCM analysis but also compared to manual gating, many software packages have been shown to be vastly superior with regards to the variability observed due to the gating procedure, even when applied to experiments performed with heterogeneous protocols and reagents ( 13 – 15 ).…”

Section: Computational Assistance For Fcm Analysismentioning

confidence: 99%

An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation

et al. 2015

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Current flow cytometry (FCM) reagents and instrumentation allow for the measurement of an unprecedented number of parameters for any given cell within a homogenous or heterogeneous population. While this provides a great deal of power for hypothesis testing, it also generates a vast amount of data, which is typically analyzed manually through a processing called “gating.” For large experiments, such as high-content screens, in which many parameters are measured, the time required for manual analysis as well as the technical variability inherent to manual gating can increase dramatically, even becoming prohibitive depending on the clinical or research goal. In the following article, we aim to provide the reader an overview of automated FCM analysis as well as an example of the implementation of FLOw Clustering without K, a tool that we consider accessible to researchers of all levels of computational expertise. In most cases, computational assistance methods are more reproducible and much faster than manual gating, and for some, also allow for the discovery of cellular populations that might not be expected or evident to the researcher. We urge any researcher who is planning or has previously performed large FCM experiments to consider implementing computational assistance into their analysis pipeline.

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Section: Computational Assistance For Fcm Analysismentioning

confidence: 99%

An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation

et al. 2015

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“…At the moment, there is no common consensus regarding the in vitro tests that should be used for the quality assessment of platelet components, but a variety of in vitro tests has been used . Different procedures are used to perform similar assays, which makes it difficult to compare the results between laboratories.…”

Section: Discussionmentioning

confidence: 99%

“…When developing and evaluating new process methods and storage conditions for platelet concentrates, it would be valuable to have in vitro assays that reflect the viability and function of the platelets. In several platelet studies, different combinations of ESC, HSR, CD62P and lactate or one of them among other in vitro markers have been used . However, a general consensus for optimal in vitro quality markers has not yet been established.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of soluble glycoprotein V as an in vitro quality marker for platelet concentrates: a correlation study between in vitro platelet quality markers and the effect of storage medium

2016

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We propose that quantitative sGPV which is calculated per platelet number could be used as the first choice in vitro platelet activation marker in validations and monitoring platelet production processes. sGPV could also be a promising alternative to platelet activation assays used in interlaboratory comparisons of the quality of platelet concentrates. Quantitative lactate and lactate production rate can be used to evaluate the quality of platelets concentrates during storage. However, the formation of lactate depends on the platelet count and the amount of glucose in the product making the comparison more difficult.

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“…Thus, discoid platelets with low expression of CD62 [22] and other activation markers and low release of intracellular or metabolic substances are deemed high quality, whereas the opposite is deemed poor quality [23]. The panel of in vitro tests also includes functional measures such as the response of platelets to ADP or hypotonic shock [24, 25].…”

Section: Platelet Quality From the Perspective Of Productionmentioning

confidence: 99%

Could Microparticles Be the Universal Quality Indicator for Platelet Viability and Function?

Maurer‐Spurej

Chipperfield

2016

Journal of Blood Transfusion

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High quality means good fitness for the intended use. Research activity regarding quality measures for platelet transfusions has focused on platelet storage and platelet storage lesion. Thus, platelet quality is judged from the manufacturer's point of view and regulated to ensure consistency and stability of the manufacturing process. Assuming that fresh product is always superior to aged product, maintaining in vitro characteristics should preserve high quality. However, despite the highest in vitro quality standards, platelets often fail in vivo. This suggests we may need different quality measures to predict platelet performance after transfusion. Adding to this complexity, platelets are used clinically for very different purposes: platelets need to circulate when given as prophylaxis to cancer patients and to stop bleeding when given to surgery or trauma patients. In addition, the emerging application of platelet-rich plasma injections exploits the immunological functions of platelets. Requirements for quality of platelets intended to prevent bleeding, stop bleeding, or promote wound healing are potentially very different. Can a single measurable characteristic describe platelet quality for all uses? Here we present microparticle measurement in platelet samples, and its potential to become the universal quality characteristic for platelet production, storage, viability, function, and compatibility.

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Standardization of CD62P measurement: results of an international comparative study

Abstract: Consensus regarding gating strategies and use of a reliable reference point would greatly improve agreement in interlaboratory CD62P measurement.

Cited by 11 publications

References 17 publications

An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation

An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation

Evaluation of soluble glycoprotein V as an in vitro quality marker for platelet concentrates: a correlation study between in vitro platelet quality markers and the effect of storage medium

Could Microparticles Be the Universal Quality Indicator for Platelet Viability and Function?

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