A high-resolution process-based view of a red blood cell unit inventory using a process mining method

Transfusion ◽  
2017 ◽  
Vol 57 (3) ◽  
pp. 722-722 ◽  
Author(s):  
Calvino Ka-Wing Cheng
Keyword(s):  
High Resolution ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Process Mining ◽  
Mining Method ◽  
Resolution Process

High Resolution of Multiple Forms of Red Blood Cell Enzymes Using a Toyopearl DEAE 650 S

1992 ◽  
Vol 22 (1) ◽  
pp. 11-40 ◽  
Author(s):  
V. Stocchi ◽  
L. Masat ◽  
B. Biagiarelli ◽  
A. Accorsi ◽  
G. Piccoli ◽  
...  
Keyword(s):  
High Resolution ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Multiple Forms

A high-resolution, double-labeling method for the study of in vivo red blood cell aging

Transfusion ◽  
2006 ◽  
Vol 46 (4) ◽  
pp. 578-588 ◽  
Author(s):  
Sean C. Gifford ◽  
Tatsuro Yoshida ◽  
Sergey S. Shevkoplyas ◽  
Mark W. Bitensky
Keyword(s):  
High Resolution ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Aging ◽  
Double Labeling ◽  
Labeling Method

Storage-induced changes of the cytosolic red blood cell proteome analyzed by 2D DIGE and high-resolution/high-accuracy MS

PROTEOMICS ◽  
2012 ◽  
Vol 12 (21) ◽  
pp. 3263-3272 ◽  
Author(s):  
Katja Walpurgis ◽  
Maxie Kohler ◽  
Andreas Thomas ◽  
Folker Wenzel ◽  
Hans Geyer ◽  
...  
Keyword(s):  
High Resolution ◽  
Blood Cell ◽  
Red Blood Cell ◽  
High Accuracy ◽  
2D Dige ◽  
Induced Changes ◽  
Cell Proteome

scholarly journals Detection of Plasmodium Species by High-Resolution Melt Analysis of DNA from Blood Smears Acquired in Southwestern Uganda

2017 ◽  
Vol 56 (1) ◽  
Author(s):  
Kennedy Kassaza ◽  
Darwin J. Operario ◽  
Dan Nyehangane ◽  
K. C. Coffey ◽  
Mary Namugosa ◽  
...  
Keyword(s):  
High Resolution ◽  
Blood Cell ◽  
Real Time ◽  
Red Blood Cell ◽  
Real Time Pcr ◽  
Plasmodium Species ◽  
Content Type ◽  
Hrm Analysis ◽  
Blood Smears ◽  
Southwestern Uganda

ABSTRACTMicroscopic diagnosis of malaria using Giemsa-stained blood smears is the standard of care in resource-limited settings. These smears represent a potential source of DNA for PCR testing to confirmPlasmodiuminfections or for epidemiological studies of archived samples. Therefore, we assessed the use of DNA extracts from stained blood smears for the detection ofPlasmodiumspecies using real-time PCR. We extracted DNA from archived blood smears and corresponding red blood cell pellets collected from asymptomatic children in southwestern Uganda in 2010. We then performed real-time PCR followed by high-resolution melting (HRM) to identifyPlasmodiumspecies, and we compared our results to those of microscopy. We analyzed a total of 367 blood smears and corresponding red blood cell pellets, including 185 smears (50.4%) that were positive by microscopy. Compared to microscopy, PCR-HRM analysis of smear DNA had a sensitivity of 93.0% (95% confidence interval [CI], 88.2 to 96.2%) and a specificity of 96.7% (95% CI, 93.0 to 98.8%), and PCR-HRM analysis of pellet DNA had a sensitivity of 100.0% (95% CI, 98.0 to 100.0%) and a specificity of 94.0% (95% CI, 89.4 to 96.9%). Identification of positive PCR-HRM results to the species level revealedPlasmodium falciparum(92.0%),Plasmodium ovale(5.6%), andPlasmodium malariae(2.4%). PCR-HRM analysis of DNA extracts from Giemsa-stained thick blood smears or corresponding blood pellets had high sensitivity and specificity for malaria diagnosis, compared to microscopy. Therefore, blood smears can provide an adequate source of DNA for confirmation ofPlasmodiumspecies infections and can be used for retrospective genetic studies.

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