Factors influencing cord blood viability assessment before cryopreservation

Solomon, Michael J.; Wofford, Jonathan; Johnson, Cory; Regan, Donna; Creer, Michael H.

doi:10.1111/j.1537-2995.2009.02491.x

Cited by 31 publications

(32 citation statements)

References 25 publications

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“…These findings are in accord with the results from other studies [5,6,13,21,26,27]. Some authors [28] considered that temperature is a key parameter and extended …”

Section: Discussionsupporting

confidence: 95%

“…However, our observations could support the theory of other authors that maintaining cell viability is achieved by the presence of the growth factors and the cytokines in the umbilical cord plasma and lowering their concentration caused by diluting after UCB collection and mixing with anticoagulant would accelerate development of cellular apoptosis process [28].…”

Section: Tablesupporting

confidence: 72%

“…According to these studies, the extending of the time from collection to processing determined a decrease in cell viability mainly for granulocyte, while the viability of CD34 + cells seems to not to be affected [7,21,22,28,34]. Thus, interested in knowing if a larger number of CD34 + cells ensure maintaining a higher cell viability, we noticed that there was a very reduced positive correlation (r = 0.0782; P < 0.0001) between these parameters.…”

Section: Tablementioning

confidence: 82%

See 2 more Smart Citations

Factors which can influence the quality related to cell viability of the umbilical cord blood units

Dulugiac

Horeanga²,

Torcatoru³

et al. 2014

Transfusion and Apheresis Science

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“…These findings are in accord with the results from other studies [5,6,13,21,26,27]. Some authors [28] considered that temperature is a key parameter and extended …”

Section: Discussionsupporting

confidence: 95%

Section: Tablesupporting

confidence: 72%

Section: Tablementioning

confidence: 82%

See 1 more Smart Citation

Factors which can influence the quality related to cell viability of the umbilical cord blood units

Dulugiac

Horeanga²,

Torcatoru³

et al. 2014

Transfusion and Apheresis Science

View full text Add to dashboard Cite

“…Acridine orange (AO) is a cationic membranepermeable dye that, when used alone, labels all cells with green Xuorescence. Propidium iodide (PI) is an intact-membrane-exclusion dye that readily penetrates membrane-compromised (nonviable) cells, producing orange Xuorescence [7,13,14,24,31]. Since a signiWcant portion of the AO emission spectrum overlaps with the excitation of PI and both dyes are co-localized in the nucleus of nonviable cells, Xuorescence resonance energy transfer (FRET) occurs when AO emission energy is transferred to PI, so that nonviable cells do not Xuoresce green [9,12,19,21].…”

Section: Instrumentation and Disposable Counting Chambermentioning

confidence: 99%

Direct concentration and viability measurement of yeast in corn mash using a novel imaging cytometry method

Chan¹,

Lyettefi²,

Pirani³

et al. 2010

J Ind Microbiol Biotechnol

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Worldwide awareness of fossil-fuel depletion and global warming has been increasing over the last 30 years. Numerous countries, including the USA and Brazil, have introduced large-scale industrial fermentation facilities for bioethanol, biobutanol, or biodiesel production. Most of these biofuel facilities perform fermentation using standard baker's yeasts that ferment sugar present in corn mash, sugar cane, or other glucose media. In research and development in the biofuel industry, selection of yeast strains (for higher ethanol tolerance) and fermentation conditions (yeast concentration, temperature, pH, nutrients, etc.) can be studied to optimize fermentation performance. Yeast viability measurement is needed to identify higher ethanol-tolerant yeast strains, which may prolong the fermentation cycle and increase biofuel output. In addition, yeast concentration may be optimized to improve fermentation performance. Therefore, it is important to develop a simple method for concentration and viability measurement of fermenting yeast. In this work, we demonstrate an imaging cytometry method for concentration and viability measurements of yeast in corn mash directly from operating fermenters. It employs an automated cell counter, a dilution buffer, and staining solution from Nexcelom Bioscience to perform enumeration. The proposed method enables specific fluorescence detection of viable and nonviable yeasts, which can generate precise results for concentration and viability of yeast in corn mash. This method can provide an essential tool for research and development in the biofuel industry and may be incorporated into manufacturing to monitor yeast concentration and viability efficiently during the fermentation process.

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“…These dyes have the capability to fluorescently label live and dead cells. The AO and PI dual staining method has been routinely used to measure viability of nucleated cell (Wallen et al 1980;Darzynkiewicz et al 1992;Mascotti et al 2000;Foglieni et al 2001;Ling et al 2003;Solomon et al 2010;Chan et al 2012Chan et al , 2013. AO is a cell membrane permeable dye that binds to DNA and RNA in live cells by intercalation or electrostatic attraction.…”

Section: Introductionmentioning

confidence: 99%

Morphological observation and analysis using automated image cytometry for the comparison of trypan blue and fluorescence-based viability detection method

et al. 2014

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The ability to accurately determine cell viability is essential to performing a well-controlled biological experiment. Typical experiments range from standard cell culturing to advanced cell-based assays that may require cell viability measurement for downstream experiments. The traditional cell viability measurement method has been the trypan blue (TB) exclusion assay. However, since the introduction of fluorescence-based dyes for cell viability measurement using flow or image-based cytometry systems, there have been numerous publications comparing the two detection methods. Although previous studies have shown discrepancies between TB exclusion and fluorescence-based viability measurements, imagebased morphological analysis was not performed in order to examine the viability discrepancies. In this work, we compared TB exclusion and fluorescencebased viability detection methods using image cytometry to observe morphological changes due to the effect of TB on dead cells. Imaging results showed that as the viability of a naturally-dying Jurkat cell sample decreased below 70 %, many TB-stained cells began to exhibit non-uniform morphological characteristics. Dead cells with these characteristics may be difficult to count under light microscopy, thus generating an artificially higher viability measurement compared to fluorescence-based method. These morphological observations can potentially explain the differences in viability measurement between the two methods.

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Factors influencing cord blood viability assessment before cryopreservation

Cited by 31 publications

References 25 publications

Factors which can influence the quality related to cell viability of the umbilical cord blood units

Factors which can influence the quality related to cell viability of the umbilical cord blood units

Direct concentration and viability measurement of yeast in corn mash using a novel imaging cytometry method

Morphological observation and analysis using automated image cytometry for the comparison of trypan blue and fluorescence-based viability detection method

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